practize_1course/templates/heavy_case/h____фитирование.nb
2026-07-06 12:59:08 +03:00

19504 lines
946 KiB
Mathematica
Executable file

(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Wolfram 14.1' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 154, 7]
NotebookDataLength[ 949085, 19496]
NotebookOptionsPosition[ 938717, 19312]
NotebookOutlinePosition[ 939139, 19329]
CellTagsIndexPosition[ 939096, 19326]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"p", "[",
RowBox[{"p0_", ",", "R0_", ",", "a0_", ",", "x0_", ",", "r_", ",", "b1_"}],
"]"}], "=",
FractionBox[
RowBox[{"p0", "*",
RowBox[{"Sinh", "[",
FractionBox[
RowBox[{"R0", "*",
RowBox[{"(",
RowBox[{"1", "-",
FractionBox[
RowBox[{"b1", "*", "b1"}],
RowBox[{"4", "\[Pi]"}]], "+",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}]}],
")"}]}], "a0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox[
RowBox[{"R0", "*",
RowBox[{"(",
RowBox[{"1", "-",
FractionBox[
RowBox[{"b1", "*", "b1"}],
RowBox[{"4", "\[Pi]"}]], "+",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}]}],
")"}]}], "a0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["r", "a0"], "]"}]}]]}]], "Input",
CellLabel->"In[2]:=",ExpressionUUID->"ffae8b70-aa14-974a-9de2-11aa9ba7fa35"],
Cell[BoxData[
FractionBox[
RowBox[{"p0", " ",
RowBox[{"Sinh", "[",
FractionBox[
RowBox[{"R0", " ",
RowBox[{"(",
RowBox[{"1", "-",
FractionBox[
SuperscriptBox["b1", "2"],
RowBox[{"4", " ", "\[Pi]"}]], "+",
RowBox[{
FractionBox["1", "4"], " ", "b1", " ",
SqrtBox[
FractionBox["5", "\[Pi]"]], " ",
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}]}]}], ")"}]}],
"a0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "a0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox[
RowBox[{"R0", " ",
RowBox[{"(",
RowBox[{"1", "-",
FractionBox[
SuperscriptBox["b1", "2"],
RowBox[{"4", " ", "\[Pi]"}]], "+",
RowBox[{
FractionBox["1", "4"], " ", "b1", " ",
SqrtBox[
FractionBox["5", "\[Pi]"]], " ",
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}]}]}], ")"}]}],
"a0"], "]"}]}]]], "Output",
CellChangeTimes->{3.9917123412710648`*^9, 3.991964081912874*^9,
3.9919650528748665`*^9},
CellLabel->"Out[2]=",ExpressionUUID->"f00538f3-424d-5a45-91bd-3eee5cf83449"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"pp", "[",
RowBox[{"p0_", ",", "R0_", ",", "a0_", ",", "x0_", ",", "r_", ",", "b1_"}],
"]"}], "=",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-",
RowBox[{"R0", "*",
RowBox[{"(",
RowBox[{"1", "-",
FractionBox[
RowBox[{"b1", "*", "b1"}],
RowBox[{"4", "\[Pi]"}]], "+",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}]}],
")"}]}]}], "a0"]]}]]}]], "Input",
CellLabel->"In[3]:=",ExpressionUUID->"583e80ed-08b1-3540-acb6-5c5ddc81ef63"],
Cell[BoxData[
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-",
RowBox[{"R0", " ",
RowBox[{"(",
RowBox[{"1", "-",
FractionBox[
SuperscriptBox["b1", "2"],
RowBox[{"4", " ", "\[Pi]"}]], "+",
RowBox[{
FractionBox["1", "4"], " ", "b1", " ",
SqrtBox[
FractionBox["5", "\[Pi]"]], " ",
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}]}]}], ")"}]}]}],
"a0"]]}]]], "Output",
CellChangeTimes->{3.991712341297064*^9, 3.9919640821998634`*^9,
3.991965052903612*^9},
CellLabel->"Out[3]=",ExpressionUUID->"2a18313e-1f31-6d47-a71a-80e32b33c3f8"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"ppp", "[",
RowBox[{"p0_", ",", "R0_", ",", "x0_", ",", "r_", ",", "b1_"}], "]"}], "=",
RowBox[{
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]]}]], "+",
RowBox[{"y", "*",
RowBox[{"(",
RowBox[{
RowBox[{"R0", "*",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]]}]]}], "*", "b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}], "+",
RowBox[{
FractionBox[
RowBox[{"R0", "*", "R0"}], "2"], "*",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]]}]]}]}], "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}], ")"}],
"2"]}]}], ")"}]}]}]}]], "Input",
CellLabel->"In[4]:=",ExpressionUUID->"0d592b07-0bde-dd44-8769-c843b2d15343"],
Cell[BoxData[
RowBox[{
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]]}]], "+",
RowBox[{"y", " ",
RowBox[{"(",
RowBox[{
FractionBox[
RowBox[{"b1", " ",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]], " ", "p0", " ",
SqrtBox[
FractionBox["5", "\[Pi]"]], " ", "R0", " ",
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}]}],
RowBox[{"4", " ", "b0", " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]]}], ")"}], "2"]}]], "+",
FractionBox[
RowBox[{"5", " ",
SuperscriptBox["b1", "2"], " ",
RowBox[{"(",
RowBox[{
FractionBox[
RowBox[{"2", " ",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"2", " ",
RowBox[{"(",
RowBox[{"r", "-", "R0"}], ")"}]}], "b0"]], " ", "p0"}],
RowBox[{
SuperscriptBox["b0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]]}], ")"}], "3"]}]], "-",
FractionBox[
RowBox[{
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]], " ", "p0"}],
RowBox[{
SuperscriptBox["b0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "b0"]]}], ")"}], "2"]}]]}], ")"}],
" ",
SuperscriptBox["R0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}], "2"]}],
RowBox[{"32", " ", "\[Pi]"}]]}], ")"}]}]}]], "Output",
CellChangeTimes->{3.991712341324932*^9, 3.9919640822258663`*^9,
3.9919650529266243`*^9},
CellLabel->"Out[4]=",ExpressionUUID->"f9210340-71d9-8548-b6dd-6e1f2ea59c91"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"ppp2", "[",
RowBox[{"p0_", ",", "R0_", ",", "x0_", ",", "r_", ",", "b1_"}], "]"}], "=",
RowBox[{
SuperscriptBox[
RowBox[{"(",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]]}]], ")"}], "2"], "+",
RowBox[{"yy", "*",
RowBox[{"(",
RowBox[{
RowBox[{"R0", "*",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
SuperscriptBox[
RowBox[{"(",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]]}]], ")"}], "2"]}], "*", "b1",
"*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}], "+",
RowBox[{
FractionBox[
RowBox[{"R0", "*", "R0"}], "2"], "*",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
SuperscriptBox[
RowBox[{"(",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]]}]], ")"}], "2"]}]}], "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}], ")"}],
"2"]}]}], ")"}]}]}]}]], "Input",
CellLabel->"In[5]:=",ExpressionUUID->"2ab4cb2f-3eb0-8f4d-b0e5-c0b0154d2f35"],
Cell[BoxData[
RowBox[{
FractionBox[
SuperscriptBox["p0", "2"],
SuperscriptBox[
RowBox[{"(",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]]}], ")"}], "2"]], "+",
RowBox[{"yy", " ",
RowBox[{"(",
RowBox[{
FractionBox[
RowBox[{"b1", " ",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]], " ",
SuperscriptBox["p0", "2"], " ",
SqrtBox[
FractionBox["5", "\[Pi]"]], " ", "R0", " ",
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}]}],
RowBox[{"2", " ", "bb0", " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]]}], ")"}], "3"]}]], "+",
FractionBox[
RowBox[{"5", " ",
SuperscriptBox["b1", "2"], " ",
RowBox[{"(",
RowBox[{
FractionBox[
RowBox[{"6", " ",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"2", " ",
RowBox[{"(",
RowBox[{"r", "-", "R0"}], ")"}]}], "bb0"]], " ",
SuperscriptBox["p0", "2"]}],
RowBox[{
SuperscriptBox["bb0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]]}], ")"}], "4"]}]], "-",
FractionBox[
RowBox[{"2", " ",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]], " ",
SuperscriptBox["p0", "2"]}],
RowBox[{
SuperscriptBox["bb0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R0"}], "bb0"]]}], ")"}], "3"]}]]}], ")"}],
" ",
SuperscriptBox["R0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}], "2"]}],
RowBox[{"32", " ", "\[Pi]"}]]}], ")"}]}]}]], "Output",
CellChangeTimes->{3.9917123413539066`*^9, 3.991964082252865*^9,
3.9919650529506397`*^9},
CellLabel->"Out[5]=",ExpressionUUID->"7bb7a125-449f-3a49-97d2-1464bf24ed55"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"pppp", "[",
RowBox[{"p0_", ",", "R0_", ",", "x0_", ",", "r_", ",", "b1_"}], "]"}], "=",
RowBox[{
FractionBox[
RowBox[{"p0", "*",
RowBox[{"Sinh", "[",
FractionBox["R0", "b0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}]}]], "+",
RowBox[{"y", "*",
RowBox[{"(",
RowBox[{
RowBox[{"R0", "*",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
FractionBox[
RowBox[{"p0", "*",
RowBox[{"Sinh", "[",
FractionBox["R0", "b0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}]}]]}], "*", "b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}], "+",
RowBox[{
FractionBox[
RowBox[{"R0", "*", "R0"}], "2"], "*",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
FractionBox[
RowBox[{"p0", "*",
RowBox[{"Sinh", "[",
FractionBox["R0", "b0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}]}]]}]}], "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}], ")"}],
"2"]}]}], ")"}]}]}]}]], "Input",
CellLabel->"In[6]:=",ExpressionUUID->"80075296-619a-5348-a91f-42a62b35265a"],
Cell[BoxData[
RowBox[{
FractionBox[
RowBox[{"p0", " ",
RowBox[{"Sinh", "[",
FractionBox["R0", "b0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}]}]], "+",
RowBox[{"y", " ",
RowBox[{"(",
RowBox[{
RowBox[{
FractionBox["1", "4"], " ", "b1", " ",
SqrtBox[
FractionBox["5", "\[Pi]"]], " ", "R0", " ",
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}], " ",
RowBox[{"(",
RowBox[{
FractionBox[
RowBox[{"p0", " ",
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}]}],
RowBox[{"b0", " ",
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}]}], ")"}]}]], "-",
FractionBox[
RowBox[{"p0", " ",
SuperscriptBox[
RowBox[{"Sinh", "[",
FractionBox["R0", "b0"], "]"}], "2"]}],
RowBox[{"b0", " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}]}], ")"}], "2"]}]]}], ")"}]}],
"+",
RowBox[{
FractionBox["1",
RowBox[{"32", " ", "\[Pi]"}]],
RowBox[{"5", " ",
SuperscriptBox["b1", "2"], " ",
SuperscriptBox["R0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}], "2"], " ",
RowBox[{"(",
RowBox[{
RowBox[{"-",
FractionBox[
RowBox[{"3", " ", "p0", " ",
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}], " ",
RowBox[{"Sinh", "[",
FractionBox["R0", "b0"], "]"}]}],
RowBox[{
SuperscriptBox["b0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}]}], ")"}], "2"]}]]}], "+",
FractionBox[
RowBox[{"p0", " ",
RowBox[{"Sinh", "[",
FractionBox["R0", "b0"], "]"}]}],
RowBox[{
SuperscriptBox["b0", "2"], " ",
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}]}], ")"}]}]], "+",
FractionBox[
RowBox[{"2", " ", "p0", " ",
SuperscriptBox[
RowBox[{"Sinh", "[",
FractionBox["R0", "b0"], "]"}], "3"]}],
RowBox[{
SuperscriptBox["b0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "b0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "b0"], "]"}]}], ")"}], "3"]}]]}],
")"}]}]}]}], ")"}]}]}]], "Output",
CellChangeTimes->{3.991712341376917*^9, 3.9919640822778645`*^9,
3.9919650529736423`*^9},
CellLabel->"Out[6]=",ExpressionUUID->"d32a7453-1a51-6e48-86af-b1d1c28a8672"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"pppp2", "[",
RowBox[{"p0_", ",", "R0_", ",", "x0_", ",", "r_", ",", "b1_"}], "]"}], "=",
RowBox[{
SuperscriptBox[
RowBox[{"(",
FractionBox[
RowBox[{"p0", "*",
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}]}]], ")"}], "2"], "+",
RowBox[{"yy", "*",
RowBox[{"(",
RowBox[{
RowBox[{"R0", "*",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
SuperscriptBox[
RowBox[{"(",
FractionBox[
RowBox[{"p0", "*",
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}]}]], ")"}], "2"]}], "*", "b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}], "+",
RowBox[{
FractionBox[
RowBox[{"R0", "*", "R0"}], "2"], "*",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
RowBox[{
SubscriptBox["\[PartialD]", "R0"], " ",
SuperscriptBox[
RowBox[{"(",
FractionBox[
RowBox[{"p0", "*",
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}]}]], ")"}], "2"]}]}], "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x0", ",", "\[Phi]"}], "]"}]}], ")"}],
"2"]}]}], ")"}]}]}]}]], "Input",
CellLabel->"In[7]:=",ExpressionUUID->"7e5ea904-38c2-8f45-b173-9fdd0d01cd3b"],
Cell[BoxData[
RowBox[{
FractionBox[
RowBox[{
SuperscriptBox["p0", "2"], " ",
SuperscriptBox[
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}], "2"]}],
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}]}], ")"}], "2"]], "+",
RowBox[{"yy", " ",
RowBox[{"(",
RowBox[{
RowBox[{
FractionBox["1", "4"], " ", "b1", " ",
SqrtBox[
FractionBox["5", "\[Pi]"]], " ", "R0", " ",
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}], " ",
RowBox[{"(",
RowBox[{
FractionBox[
RowBox[{"2", " ",
SuperscriptBox["p0", "2"], " ",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}], " ",
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}]}],
RowBox[{"bb0", " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}]}], ")"}], "2"]}]], "-",
FractionBox[
RowBox[{"2", " ",
SuperscriptBox["p0", "2"], " ",
SuperscriptBox[
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}], "3"]}],
RowBox[{"bb0", " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}]}], ")"}], "3"]}]]}], ")"}]}],
"+",
RowBox[{
FractionBox["1",
RowBox[{"32", " ", "\[Pi]"}]],
RowBox[{"5", " ",
SuperscriptBox["b1", "2"], " ",
SuperscriptBox["R0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"-", "1"}], "+",
RowBox[{"3", " ",
SuperscriptBox[
RowBox[{"Cos", "[", "x0", "]"}], "2"]}]}], ")"}], "2"], " ",
RowBox[{"(",
RowBox[{
FractionBox[
RowBox[{"2", " ",
SuperscriptBox["p0", "2"], " ",
SuperscriptBox[
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}], "2"]}],
RowBox[{
SuperscriptBox["bb0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}]}], ")"}], "2"]}]], "-",
FractionBox[
RowBox[{"10", " ",
SuperscriptBox["p0", "2"], " ",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}], " ",
SuperscriptBox[
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}], "2"]}],
RowBox[{
SuperscriptBox["bb0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}]}], ")"}], "3"]}]], "+",
FractionBox[
RowBox[{"2", " ",
SuperscriptBox["p0", "2"], " ",
SuperscriptBox[
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}], "2"]}],
RowBox[{
SuperscriptBox["bb0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}]}], ")"}], "2"]}]], "+",
FractionBox[
RowBox[{"6", " ",
SuperscriptBox["p0", "2"], " ",
SuperscriptBox[
RowBox[{"Sinh", "[",
FractionBox["R0", "bb0"], "]"}], "4"]}],
RowBox[{
SuperscriptBox["bb0", "2"], " ",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"Cosh", "[",
FractionBox["r", "bb0"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["R0", "bb0"], "]"}]}], ")"}], "4"]}]]}],
")"}]}]}]}], ")"}]}]}]], "Output",
CellChangeTimes->{3.991712341392933*^9, 3.9919640822888775`*^9,
3.9919650530016823`*^9},
CellLabel->"Out[7]=",ExpressionUUID->"a6e1e3e7-c00b-3944-a263-f0f98e41f146"]
}, Open ]],
Cell[BoxData[""], "Input",
CellChangeTimes->{3.9917077685737076`*^9},
CellLabel->
"In[362]:=",ExpressionUUID->"76dcb41c-d560-6240-8a0d-5f5c4dea74f7"],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"A", "=", "240"}]], "Input",
CellChangeTimes->{{3.991567249576977*^9, 3.9915672513871117`*^9}, {
3.9917123499378605`*^9, 3.9917123524269905`*^9}, {3.9917930368126183`*^9,
3.99179303935478*^9}, {3.992162742007002*^9,
3.9921627427606335`*^9}},ExpressionUUID->"f25944e3-b412-7146-ac6d-\
f008d8c60ab5"],
Cell[BoxData["236"], "Output",
CellChangeTimes->{
3.9913196497381973`*^9, 3.9917078280760555`*^9, {3.991712341402319*^9,
3.9917123683710194`*^9}, 3.991964088272585*^9, 3.9919650668367367`*^9},
CellLabel->"Out[8]=",ExpressionUUID->"6a9ddfcd-6773-d042-b72b-ee308eec2141"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"A1", "="}]], "Input",
CellChangeTimes->{
3.9917123636954575`*^9, 3.9917930477498703`*^9, {3.9919640953047657`*^9,
3.991964095496088*^9},
3.9919730324857025`*^9},ExpressionUUID->"24bf6fdb-f0a0-774b-a5d1-\
1f910c97a298"],
Cell[BoxData["58"], "Output",
CellChangeTimes->{
3.9913196497578354`*^9, 3.991707828199957*^9, {3.991712341409319*^9,
3.9917123684317207`*^9}, 3.9919640965938797`*^9, 3.9919650679796085`*^9},
CellLabel->"Out[9]=",ExpressionUUID->"52096119-62e6-0d42-9c3a-ed392c0f435b"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"a1", "=", "0.55"}]], "Input",
CellChangeTimes->{3.9434144380252676`*^9},
CellLabel->"In[10]:=",ExpressionUUID->"f86d7ec2-4b9e-cb4f-ac44-ab1d7c6b8c93"],
Cell[BoxData["0.55`"], "Output",
CellChangeTimes->{3.991319649777508*^9, 3.991707828219631*^9,
3.9917123414174232`*^9, 3.9919641050847206`*^9, 3.9919650689841537`*^9},
CellLabel->"Out[10]=",ExpressionUUID->"ff7e327a-caed-ff48-83df-0fe2efc4709b"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"a2", "=",
RowBox[{"a1", "-",
RowBox[{"0.015", "*",
FractionBox[
RowBox[{
RowBox[{"2", "*", "A1"}], "-", "A"}], "A"]}]}]}]], "Input",
CellLabel->"In[11]:=",ExpressionUUID->"18b7ff08-61ef-0a43-a3b6-f39456c5d3bf"],
Cell[BoxData["0.5576271186440679`"], "Output",
CellChangeTimes->{3.9913196497965145`*^9, 3.9917078282275677`*^9,
3.9917123414253197`*^9, 3.991964105132374*^9, 3.99196507082041*^9},
CellLabel->"Out[11]=",ExpressionUUID->"93d6f676-720a-5849-a331-8426b6262c0a"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"p0", "=", "0.17"}]], "Input",
CellLabel->"In[12]:=",ExpressionUUID->"81606684-c7bc-8847-8110-4e7d8dadb4e3"],
Cell[BoxData["0.17`"], "Output",
CellChangeTimes->{3.9913196498144608`*^9, 3.9917078282485256`*^9,
3.9917123414324265`*^9, 3.991964105152542*^9, 3.9919650751473694`*^9},
CellLabel->"Out[12]=",ExpressionUUID->"f741aa01-a99b-b44b-b60c-e076bb3abbca"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"R01", "=",
RowBox[{"1.16", "*",
SuperscriptBox["A1",
RowBox[{"1", "/", "3"}]]}]}]], "Input",
CellChangeTimes->{{3.9434138465865016`*^9, 3.9434138476462865`*^9}},
CellLabel->"In[13]:=",ExpressionUUID->"f761fcb8-28f7-6340-a8c9-04643afe677c"],
Cell[BoxData["4.4902169031282435`"], "Output",
CellChangeTimes->{3.9913196498225155`*^9, 3.9917078282706223`*^9,
3.9917123414384117`*^9, 3.991964105158039*^9, 3.9919650774986343`*^9},
CellLabel->"Out[13]=",ExpressionUUID->"71a44cb5-a1c6-d444-bdc5-4d11fddcaa5f"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"R02", "=",
RowBox[{"1.16", "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"A", "-", "A1"}], ")"}],
RowBox[{"1", "/", "3"}]]}]}]], "Input",
CellLabel->"In[14]:=",ExpressionUUID->"eb02623b-c429-f44e-955f-4ce148f45177"],
Cell[BoxData["6.525262540876552`"], "Output",
CellChangeTimes->{3.9913196498425236`*^9, 3.9917078282785244`*^9,
3.991712341447321*^9, 3.9919641051782207`*^9, 3.99196507853343*^9},
CellLabel->"Out[14]=",ExpressionUUID->"47939d39-036e-054e-9de8-a4bd25512646"]
}, Open ]],
Cell[BoxData[
RowBox[{"b1", "="}]], "Input",
CellChangeTimes->{
3.9917123951294365`*^9, 3.99179305435186*^9, {3.99196410971159*^9,
3.9919641153565598`*^9}, {3.991965091938593*^9, 3.9919650927835865`*^9},
3.991973034922682*^9},ExpressionUUID->"5a7643d0-24aa-4445-a07d-\
8c03ae610a22"],
Cell[BoxData[
RowBox[{"b2", "="}]], "Input",
CellChangeTimes->{
3.9917124038115807`*^9, 3.991793052797516*^9, {3.9919641207252083`*^9,
3.991964121458187*^9}, {3.991965119761894*^9, 3.9919651201266823`*^9},
3.9919730365316715`*^9},ExpressionUUID->"0d6c01d9-da94-5e40-a1b9-\
b6cc52ad8d72"],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"x1", "=", "0"}]], "Input",
CellLabel->"In[17]:=",ExpressionUUID->"bdbca864-d729-6d45-83af-09286972fe2c"],
Cell[BoxData["0"], "Output",
CellChangeTimes->{3.9913196498927155`*^9, 3.9917078283276424`*^9,
3.991712341478319*^9, 3.9919641257179623`*^9, 3.9919651236440945`*^9},
CellLabel->"Out[17]=",ExpressionUUID->"5d184a3a-6729-2542-bddb-91c459c84dd2"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"x2", "=", "0"}]], "Input",
CellLabel->"In[18]:=",ExpressionUUID->"ff4d19af-9e5c-ef4d-abe6-b09a5488a2e8"],
Cell[BoxData["0"], "Output",
CellChangeTimes->{3.9913196498996067`*^9, 3.99170782834754*^9,
3.9917123414863186`*^9, 3.9919641257640095`*^9, 3.991965124607527*^9},
CellLabel->"Out[18]=",ExpressionUUID->"a2015830-d30b-264b-9c26-848d4c35743d"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"l1", "=",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"{",
FractionBox[
FractionBox[
RowBox[{"p0", "*",
RowBox[{"Sinh", "[",
FractionBox[
RowBox[{"R1", "*",
RowBox[{"(",
RowBox[{"1", "-",
FractionBox[
RowBox[{"b1", "*", "b1"}],
RowBox[{"4", "\[Pi]"}]], "+",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x1", ",", "\[Phi]"}],
"]"}]}]}], ")"}]}], "a1"], "]"}]}],
RowBox[{
RowBox[{"Cosh", "[",
FractionBox[
RowBox[{"R1", "*",
RowBox[{"(",
RowBox[{"1", "-",
FractionBox[
RowBox[{"b1", "*", "b1"}],
RowBox[{"4", "\[Pi]"}]], "+",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x1", ",", "\[Phi]"}],
"]"}]}]}], ")"}]}], "a1"], "]"}], "+",
RowBox[{"Cosh", "[",
FractionBox["r", "a1"], "]"}]}]], "p0"], "}"}], "/.",
RowBox[{"R1", "\[Rule]", "R01"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a1", "\[Rule]", "0.55"}]}], "/.",
RowBox[{"x1", "\[Rule]", "0"}]}], "/.",
RowBox[{"b1", "\[Rule]", "b1"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "3", ",", "10"}], "}"}]}], "]"}]}],
"\[IndentingNewLine]"}]], "Input",
CellChangeTimes->{{3.9919641474075165`*^9, 3.9919641522943115`*^9}},
CellLabel->"In[19]:=",ExpressionUUID->"1df47ed4-968d-ab47-9cf0-8687993d44a2"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwVV3c0Fu4XpyR7y369g0hGWRG5t4hQVkJCdpRkkyQyQkbISCo7I98yMkpI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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ]}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3c0Fu4XpyR7y369g0hGWRG5t4hQVkJCdpRkkyQyQkbISCo7I98yMkpI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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 10}, {0., 0.9853735520528359}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 10}, {0., 0.9853735520528359}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3c0Fu4XpyR7y369g0hGWRG5t4hQVkJCdpRkkyQyQkbISCo7I98yMkpI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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 10}, {0., 0.9853735520528359}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{3.0000000000000067`, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{3, 10}, {0., 0.9853735520528359}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{
3.9917124540376835`*^9, {3.991964135503311*^9, 3.9919641527564583`*^9},
3.991965132478647*^9},
CellLabel->"Out[19]=",ExpressionUUID->"b99c4f95-df55-1444-95e1-a039c9afcece"]
}, Open ]],
Cell[BoxData[""], "Input",
CellChangeTimes->{
3.991842459440727*^9},ExpressionUUID->"7b24a916-b850-f042-8ae8-\
50b3ad5aa448"],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"FindRoot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "y"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R1", ",", "a1", ",", "x1", ",", "r", ",",
"b1"}], "]"}], "-",
RowBox[{"ppp", "[",
RowBox[{"p0", ",", "R1", ",", "x1", ",", "r", ",", "b1"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "4", ",", "10", ",", "0.1"}], "}"}]}], "]"}],
"\[Equal]", "0"}], ",",
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "b0"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R1", ",", "a1", ",", "x1", ",", "r", ",",
"b1"}], "]"}], "-",
RowBox[{"ppp", "[",
RowBox[{"p0", ",", "R1", ",", "x1", ",", "r", ",", "b1"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "4", ",", "10", ",", "0.1"}], "}"}]}], "]"}],
"\[Equal]", "0"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"y", ",", "1"}], "}"}], ",",
RowBox[{"{",
RowBox[{"b0", ",", "0.65"}], "}"}]}], "]"}], "/.",
RowBox[{"R1", "\[Rule]", "R01"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a1", "\[Rule]", "0.55"}]}], "/.",
RowBox[{"x1", "\[Rule]", "0"}]}], "/.",
RowBox[{"b1", "\[Rule]", "b1"}]}]], "Input",
CellChangeTimes->{{3.9919641656458683`*^9, 3.9919641703540897`*^9}, {
3.991965146253729*^9, 3.991965149824396*^9}},
CellLabel->"In[20]:=",ExpressionUUID->"0fd1647e-55ba-6c45-ad3c-c7cf0756600e"],
Cell[BoxData[
TemplateBox[{
"FindRoot", "nlnum",
"\"The function value \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{RowBox[{RowBox[{\
\\\"2.`\\\", \\\" \\\", RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", \
FractionBox[RowBox[{\\\"0.04998713700356094`\\\", \\\" \\\", \
SuperscriptBox[\\\"2.718281828459045`\\\", \
RowBox[{\\\"1.5384615384615383`\\\", \\\" \\\", RowBox[{\\\"Plus\\\", \\\"[\\\
\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"]\\\"}]}]], \\\" \\\", \\\"R1\\\"}], SuperscriptBox[RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"1.`\\\", \\\"\[VeryThinSpace]\\\"}], \\\"+\\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\")\\\"}], \\\"2\\\"]]}], \
\\\"-\\\", RowBox[{\\\"0.018264820212904775`\\\", \\\" \\\", \
RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"0.8047337278106508`\\\", \\\" \\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\
\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\"-\\\", \
RowBox[{\\\"0.4023668639053254`\\\", \\\" \\\", RowBox[{\\\"Power\\\", \
\\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\
\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}], \\\" \\\", SuperscriptBox[\\\"R1\\\", \\\"2\\\"]}]}], \
\\\")\\\"}], \\\" \\\", RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", \
FractionBox[\\\"0.17`\\\", RowBox[{RowBox[{\\\"1.`\\\", \
\\\"\[VeryThinSpace]\\\"}], \\\"+\\\", RowBox[{\\\"Power\\\", \\\"[\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\
\\\"}]}]]}], \\\"-\\\", RowBox[{\\\"1.`\\\", \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"0.04998713700356094`\\\", \\\" \\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\
\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", \\\"R1\\\"}], \\\"+\\\", \
RowBox[{\\\"0.018264820212904775`\\\", \\\" \\\", RowBox[{\\\"Plus\\\", \\\"[\
\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}]}], \\\"+\\\", FractionBox[RowBox[{\\\"0.17`\\\", \\\" \\\", \
RowBox[{\\\"Sinh\\\", \\\"[\\\", RowBox[{\\\"2.152402473559755`\\\", \\\" \
\\\", \\\"R1\\\"}], \\\"]\\\"}]}], \
RowBox[{RowBox[{\\\"720.2371797638953`\\\", \\\"\[VeryThinSpace]\\\"}], \\\"+\
\\\", RowBox[{\\\"Cosh\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\
\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]]}], \\\")\\\"}]}], \\\"+\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"49\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"+\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"11\\\", \
\\\"\[RightSkeleton]\\\"}]}], \\\",\\\", RowBox[{RowBox[{\\\"2.`\\\", \\\" \\\
\", RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", FractionBox[RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \
SuperscriptBox[RowBox[{\\\"(\\\", RowBox[{RowBox[{RowBox[{\\\"\[LeftSkeleton]\
\\\", \\\"3\\\", \\\"\[RightSkeleton]\\\"}], \\\"\[VeryThinSpace]\\\"}], \
\\\"+\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\
\"}]}], \\\")\\\"}], \\\"2\\\"]]}], \\\"-\\\", RowBox[{\\\"1.`\\\", \\\" \
\\\", RowBox[{\\\"(\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\
\[RightSkeleton]\\\"}], \\\")\\\"}]}]}], \\\")\\\"}], \\\" \\\", \
RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", FractionBox[\\\"0.17`\\\", \
RowBox[{RowBox[{\\\"1.`\\\", \\\"\[VeryThinSpace]\\\"}], \\\"+\\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]]}], \\\"-\\\", RowBox[{\\\"1.`\\\", \
\\\" \\\", RowBox[{\\\"(\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \
\\\"\[RightSkeleton]\\\"}], \\\")\\\"}]}], \\\"+\\\", \
FractionBox[RowBox[{\\\"0.17`\\\", \\\" \\\", RowBox[{\\\"Sinh\\\", \
\\\"[\\\", RowBox[{\\\"2.152402473559755`\\\", \\\" \\\", \\\"R1\\\"}], \\\"]\
\\\"}]}], RowBox[{RowBox[{\\\"720.2371797638953`\\\", \
\\\"\[VeryThinSpace]\\\"}], \\\"+\\\", RowBox[{\\\"Cosh\\\", \\\"[\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\
\\\"}]}]]}], \\\")\\\"}]}], \\\"+\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \
\\\"49\\\", \\\"\[RightSkeleton]\\\"}], \\\"+\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"11\\\", \\\"\[RightSkeleton]\\\"}]}]}], \
\\\"}\\\"}]\\) is not a list of numbers with dimensions \
\\!\\(\\*RowBox[{\\\"{\\\", \\\"2\\\", \\\"}\\\"}]\\) at \
\\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"y\\\", \\\",\\\", \\\"b0\\\"}], \\\"}\
\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"1.`\\\", \\\",\\\", \
\\\"0.65`\\\"}], \\\"}\\\"}]\\).\"", 2, 20, 1, 24487566792016397019, "Local"},
"MessageTemplate"]], "Message", "MSG",
CellChangeTimes->{3.9917125179761257`*^9, 3.991964171446245*^9,
3.9919651511804237`*^9},
CellLabel->
"During evaluation of \
In[20]:=",ExpressionUUID->"a6ce969d-823a-ef4d-a589-f7cc65df348d"],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"y", "\[Rule]", "0.9052282716664432`"}], ",",
RowBox[{"b0", "\[Rule]", "0.6047945945713056`"}]}], "}"}]], "Output",
CellChangeTimes->{3.991712518051634*^9, 3.9919641715267353`*^9,
3.99196515126849*^9},
CellLabel->"Out[20]=",ExpressionUUID->"bbd66703-49d1-134c-8200-9aff5ce6bb92"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"FindRoot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "y"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R1", ",", "a1", ",", "x1", ",", "r", ",",
"b1"}], "]"}], "-",
RowBox[{"pppp", "[",
RowBox[{"p0", ",", "R1", ",", "x1", ",", "r", ",", "b1"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "6.5", ",", "10", ",", "0.1"}], "}"}]}],
"]"}], "\[Equal]", "0"}], ",",
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "b0"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R1", ",", "a1", ",", "x1", ",", "r", ",",
"b1"}], "]"}], "-",
RowBox[{"pppp", "[",
RowBox[{"p0", ",", "R1", ",", "x1", ",", "r", ",", "b1"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "6.5", ",", "10", ",", "0.1"}], "}"}]}],
"]"}], "\[Equal]", "0"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"y", ",", "1"}], "}"}], ",",
RowBox[{"{",
RowBox[{"b0", ",", "0.7"}], "}"}]}], "]"}], "/.",
RowBox[{"R1", "\[Rule]", "R01"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a1", "\[Rule]", "0.55"}]}], "/.",
RowBox[{"x1", "\[Rule]", "0"}]}], "/.",
RowBox[{"b1", "\[Rule]", "b1"}]}]], "Input",
CellLabel->
"In[380]:=",ExpressionUUID->"79d865b0-6c37-3243-a4e0-d7506dcfe14a"],
Cell[BoxData[
TemplateBox[{
"FindRoot", "nlnum",
"\"The function value \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{RowBox[{RowBox[{\
\\\"2.`\\\", \\\" \\\", RowBox[{\\\"(\\\", RowBox[{RowBox[{RowBox[{\\\"-\\\", \
\\\"0.2800677099442378`\\\"}], \\\" \\\", \\\"R1\\\", \\\" \\\", \
RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"0.24285714285714288`\\\", \\\" \\\", \
RowBox[{\\\"Cosh\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\
\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\"-\\\", \
RowBox[{\\\"0.24285714285714288`\\\", \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\
\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}]}], \\\"-\\\", RowBox[{\\\"0.039218961076704854`\\\", \\\" \\\", \
SuperscriptBox[\\\"R1\\\", \\\"2\\\"], \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{RowBox[{\\\"-\\\", \\\"1.0408163265306125`\\\"}], \\\" \\\", \
RowBox[{\\\"Cosh\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\
\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Sinh\\\", \
\\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\
\"}], \\\"]\\\"}]}], \\\"+\\\", RowBox[{\\\"0.3469387755102042`\\\", \\\" \
\\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \
\\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", \
RowBox[{\\\"Sinh\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\"+\\\", \
RowBox[{\\\"0.6938775510204084`\\\", \\\" \\\", RowBox[{\\\"Power\\\", \
\\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\
\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}]}]}], \\\")\\\"}], \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"-\\\", FractionBox[RowBox[{\\\"0.17`\\\", \\\" \\\", \
RowBox[{\\\"Sinh\\\", \\\"[\\\", RowBox[{\\\"1.4285714285714286`\\\", \\\" \\\
\", \\\"R1\\\"}], \\\"]\\\"}]}], RowBox[{RowBox[{\\\"5391.436356051909`\\\", \
\\\"\[VeryThinSpace]\\\"}], \\\"+\\\", RowBox[{\\\"Cosh\\\", \\\"[\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\
\\\"}]}]]}], \\\"-\\\", RowBox[{\\\"1.`\\\", \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"0.2800677099442378`\\\", \\\" \\\", \\\"R1\\\", \\\" \
\\\", RowBox[{\\\"Plus\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\
\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\"+\\\", \
RowBox[{\\\"0.039218961076704854`\\\", \\\" \\\", RowBox[{\\\"Power\\\", \
\\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\
\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Plus\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"3\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}]}], \\\"+\\\", FractionBox[RowBox[{\\\"0.17`\\\", \\\" \\\", \
RowBox[{\\\"Sinh\\\", \\\"[\\\", RowBox[{\\\"2.2988729554791925`\\\", \\\" \\\
\", \\\"R1\\\"}], \\\"]\\\"}]}], RowBox[{RowBox[{\\\"67848.64114184062`\\\", \
\\\"\[VeryThinSpace]\\\"}], \\\"+\\\", RowBox[{\\\"Cosh\\\", \\\"[\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\
\\\"}]}]]}], \\\")\\\"}]}], \\\"+\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \
\\\"35\\\", \\\"\[RightSkeleton]\\\"}]}], \\\",\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}]}], \\\"}\\\"}]\\) \
is not a list of numbers with dimensions \\!\\(\\*RowBox[{\\\"{\\\", \
\\\"2\\\", \\\"}\\\"}]\\) at \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"y\\\", \
\\\",\\\", \\\"b0\\\"}], \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \
RowBox[{\\\"1.`\\\", \\\",\\\", \\\"0.7`\\\"}], \\\"}\\\"}]\\).\"", 2, 380,
164, 24485846962764810879, "Local"},
"MessageTemplate"]], "Message", "MSG",
CellChangeTimes->{3.9917125235776978`*^9},
CellLabel->
"During evaluation of \
In[380]:=",ExpressionUUID->"4b16b77f-f67d-e34e-87af-3a85ccc8a16f"],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"y", "\[Rule]", "0.8843341005280374`"}], ",",
RowBox[{"b0", "\[Rule]", "0.7578746971183462`"}]}], "}"}]], "Output",
CellChangeTimes->{3.9917125237225304`*^9},
CellLabel->
"Out[380]=",ExpressionUUID->"2652aef6-326a-b249-aff2-673a6f5b2f37"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"y", "=", "0.905"}]], "Input",
CellChangeTimes->{{3.991712542905905*^9, 3.991712545766283*^9}, {
3.9919641812561817`*^9, 3.9919641814730263`*^9}, {3.991965164548561*^9,
3.9919651652528534`*^9}},
CellLabel->"In[21]:=",ExpressionUUID->"b936a356-288b-fa49-9ce3-75db208c644a"],
Cell[BoxData["0.905`"], "Output",
CellChangeTimes->{3.991712577539974*^9, 3.9919641835911674`*^9,
3.991965166337839*^9},
CellLabel->"Out[21]=",ExpressionUUID->"24c069fc-ebcb-8047-a502-1148cf0d4875"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"b0", "=", "0.605"}]], "Input",
CellChangeTimes->{{3.9917125549495907`*^9, 3.9917125609834213`*^9}, {
3.9919641902090893`*^9, 3.9919641942126675`*^9}, {3.9919651710886517`*^9,
3.991965171325409*^9}},
CellLabel->"In[22]:=",ExpressionUUID->"d5b02e93-37c6-e046-a015-cd95d27ec9f3"],
Cell[BoxData["0.605`"], "Output",
CellChangeTimes->{
3.9917125776046295`*^9, {3.9919641919259663`*^9, 3.9919641946011486`*^9},
3.991965172422703*^9},
CellLabel->"Out[22]=",ExpressionUUID->"3c0a4e5a-023d-db4e-a7c3-2ef94f5b809b"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"l2", "=",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"{",
RowBox[{
FractionBox["1", "p0"],
RowBox[{"(",
RowBox[{
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R1"}], "b0"]]}]], "+",
RowBox[{"y", "*",
RowBox[{"(",
RowBox[{
RowBox[{"R1", "*",
RowBox[{
SubscriptBox["\[PartialD]", "R1"], " ",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R1"}], "b0"]]}]]}], "*", "b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x1", ",", "\[Phi]"}], "]"}]}],
"+",
RowBox[{
FractionBox[
RowBox[{"R1", "*", "R1"}], "2"], "*",
RowBox[{
SubscriptBox["\[PartialD]", "R1"], " ",
RowBox[{
SubscriptBox["\[PartialD]", "R1"], " ",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R1"}], "b0"]]}]]}]}], "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"b1", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x1", ",", "\[Phi]"}],
"]"}]}], ")"}], "2"]}]}], ")"}]}]}], ")"}]}], "}"}], "/.",
RowBox[{"R1", "\[Rule]", "R01"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a1", "\[Rule]", "a1"}]}], "/.",
RowBox[{"x1", "\[Rule]", "0"}]}], "/.",
RowBox[{"b1", "\[Rule]", "b1"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "4", ",", "12"}], "}"}], ",",
RowBox[{"ColorFunction", "->",
RowBox[{"Function", "[",
RowBox[{"{", "Red", "}"}], "]"}]}]}], "]"}]}]], "Input",
CellChangeTimes->{
3.9917168703228035`*^9, {3.991964206647356*^9, 3.9919642192992706`*^9}},
CellLabel->"In[23]:=",ExpressionUUID->"7cc2507c-877d-4b47-80a1-806136a93537"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{GraphicsComplexBox[CompressedData["
1:eJwVl2k0FVwbhlGGDHXMszOfgzKUFNJ5nohESYYUmWUsZQgVIkRKmZJChpAI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"], {{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwl1VOQ4FgYgNGxbdu2bdueHrPHtm3bnh3btm3b2lnvnq59OLn3+5NUqvKQ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"],
VertexColors->Automatic]},
Annotation[#, "Charting`Private`Tag#1"]& ]},
VertexColors->CompressedData["
1:eJztyrEJgEAURMEvGtiGrWhgYmQJBsKBcODZu6kaCHZgMsnCY6db8ryeVURp
ImJK5Vjv+FT9VHvPPPZD3vKenj/FOziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO
4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO
/8EvVhqqdA==
"]], {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {
GraphicsComplex[CompressedData["
1:eJwVl2k0FVwbhlGGDHXMszOfgzKUFNJ5nohESYYUmWUsZQgVIkRKmZJChpAI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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwl1VOQ4FgYgNGxbdu2bdueHrPHtm3bnh3btm3b2lnvnq59OLn3+5NUqvKQ
JA8IrNE5eLBgwX46BK0rHKrzr/0vNCEnl8wGkIE7eiwhWKlrBN3IJktTcnFZ
DyQjd/U4QrJK1wx6Fpt1M3JzRQ8iE/f0eEKxWtciBFt0c/JwVQ8mM/f1BEKz
RtcmJFt1AHkJw1qzOoRim25BPsISjvBEICKRiMw619YlNNt1S/IThfVm9QjD
Dt2KAkRlg1l9wrJTt6Yg0dho1oBw7NJtKET0oHdu1pDw7NZtKcw1PYQsPNAT
icEm3YgI7NHtKMJ1PZSsPNSTiMlm3ZiI7NXtKcoNPYxsPNKTicUW3YRI7NMd
KMZNPZzsPNZTiM1W3ZTI7NcdKc4tPYIcPNFTicM23YwoHNCdKMFtPZKcPNXT
iMt23ZyoHNSdKckdPYpcPNPTiccOHUA0DulASnFXjyY3z/UM4rNTtyA6h3UX
SnNPjyEPL/RMErBLtyQGR3RXynBfjyUvL/UsErJbtyImR3U3yvJAjyMfr/Rs
ErFHtyYWx3R3yvFQjyc/r/UcErNXtyE2x3UPyvNIT6AAb/RckrBPtyUOJ3RP
KvBYT6Qgb/U8krJftyMuJ3UvKvJET6IQ7/R8knFAtycep3RvKvFUT6Yw7/UC
knNQdyA+p3UfKvNMT6EIH/RCUnBIdyQBZ3RfqvBcT6UoH/UiUnJYdyIhZ3U/
qvJCT6MYn/RiUnFEB30gE3FO96caL/V0ivNZLyE1R3UgiTmvB1CdV3oGJfii
l5KGY7oLSbigB1KD13omJfmql5GW47orSbmoB1GTN3oWpfiml5OOE7obybik
B1OLt3o2pfmuV5Cek7o7ybmsh1Cbd3oOZfihV5KBU7oHKbiih1KH93ouZflV
ryIjp3VPUnJVD6MuH/Q8yvFTryYTZ3QvUnFND6ceH/V8yvObXkNmzurepOa6
HkF9PukFVOB3vZYsnNN9SMMNPZIGfNYLqcgfeh1ZOa/7kpabehQN+aIXUYk/
9XqycUH3Ix239Gga8VUvpjJ/6Q1k56LuT3pu6zE05pteQhX+1hv5br+Uqvyj
f1iXUS3onbM8+P//9RzO/QdxUvrI
"], VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 12}, {0., 0.8911371422921853}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0FV4XRRky1DPP3vweylBSSO+ciERJhhSZZSwyhAoRIqVMSSFDSISK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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 12}, {0., 0.8911371422921853}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0FV4XRRky1DPP3vweylBSSO+ciERJhhSZZSwyhAoRIqVMSSFDSISK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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{
GraphicsComplex[CompressedData["
1:eJwVl2k0FVwbhlGGDHXMszOfgzKUFNJ5nohESYYUmWUsZQgVIkRKmZJChpAI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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwl1VOQ4FgYgNGxbdu2bdueHrPHtm3bnh3btm3b2lnvnq59OLn3+5NUqvKQ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"], VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 12}, {0., 0.8911371422921853}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0FV4XRRky1DPP3vweylBSSO+ciERJhhSZZSwyhAoRIqVMSSFDSISK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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{4.000000000000009, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{4, 12}, {0., 0.8911371422921853}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{
3.9917125835721416`*^9, {3.9919641980249367`*^9, 3.991964219779398*^9},
3.991965174909437*^9},
CellLabel->"Out[23]=",ExpressionUUID->"41956e1f-1f68-414f-abf8-1d85f5f909bc"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{"l1", ",", "l2"}], "]"}]], "Input",
CellLabel->"In[24]:=",ExpressionUUID->"9998eff2-8c55-9c49-a7ba-40c39d494e08"],
Cell[BoxData[
GraphicsBox[{
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwVV3c0Fu4XpyR7y369g0hGWRG5t4hQVkJCdpRkkyQyQkbISCo7I98yMkpI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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ]}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3c0Fu4XpyR7y369g0hGWRG5t4hQVkJCdpRkkyQyQkbISCo7I98yMkpI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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 10}, {0., 0.9853735520528359}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 10}, {0., 0.9853735520528359}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3c0Fu4XpyR7y369g0hGWRG5t4hQVkJCdpRkkyQyQkbISCo7I98yMkpI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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 10}, {0., 0.9853735520528359}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
InterpretationBox[{
TagBox[{GraphicsComplexBox[CompressedData["
1:eJwVl2k0FVwbhlGGDHXMszOfgzKUFNJ5nohESYYUmWUsZQgVIkRKmZJChpAI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"], {{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwl1VOQ4FgYgNGxbdu2bdueHrPHtm3bnh3btm3b2lnvnq59OLn3+5NUqvKQ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"],
VertexColors->Automatic]},
Annotation[#, "Charting`Private`Tag#1"]& ]},
VertexColors->CompressedData["
1:eJztyrEJgEAURMEvGtiGrWhgYmQJBsKBcODZu6kaCHZgMsnCY6db8ryeVURp
ImJK5Vjv+FT9VHvPPPZD3vKenj/FOziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO
4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO4ziO
/8EvVhqqdA==
"]], {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {
GraphicsComplex[CompressedData["
1:eJwVl2k0FVwbhlGGDHXMszOfgzKUFNJ5nohESYYUmWUsZQgVIkRKmZJChpAI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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwl1VOQ4FgYgNGxbdu2bdueHrPHtm3bnh3btm3b2lnvnq59OLn3+5NUqvKQ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"], VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 12}, {0., 0.8911371422921853}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0FV4XRRky1DPP3vweylBSSO+ciERJhhSZZSwyhAoRIqVMSSFDSISK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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 12}, {0., 0.8911371422921853}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0FV4XRRky1DPP3vweylBSSO+ciERJhhSZZSwyhAoRIqVMSSFDSISK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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{
GraphicsComplex[CompressedData["
1:eJwVl2k0FVwbhlGGDHXMszOfgzKUFNJ5nohESYYUmWUsZQgVIkRKmZJChpAI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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwl1VOQ4FgYgNGxbdu2bdueHrPHtm3bnh3btm3b2lnvnq59OLn3+5NUqvKQ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"], VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 12}, {0., 0.8911371422921853}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0FV4XRRky1DPP3vweylBSSO+ciERJhhSZZSwyhAoRIqVMSSFDSISK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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]]},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{3.0000000000000067`, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{3, 10}, {0., 0.9853735520528359}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{{3.9919642011989346`*^9, 3.9919642226365395`*^9},
3.991965177487829*^9},
CellLabel->"Out[24]=",ExpressionUUID->"6703284e-71ee-2b49-a42f-e34e32f0c333"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"l11", "=",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"{",
SuperscriptBox[
RowBox[{"(",
FractionBox[
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R1", ",", "a1", ",", "x1", ",", "r", ",", "b1"}],
"]"}], "p0"], ")"}], "2"], "}"}], "/.",
RowBox[{"R1", "\[Rule]", "R01"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a1", "\[Rule]", "0.55"}]}], "/.",
RowBox[{"x1", "\[Rule]", "0"}]}], "/.",
RowBox[{"b1", "\[Rule]", "b1"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "3", ",", "11"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{3.99196423637006*^9, 3.9919651876297417`*^9},
CellLabel->"In[26]:=",ExpressionUUID->"c35d5cd1-71e8-0d46-9aff-241fa1902366"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwVVnc4F84fV8ge2ePDZ4skEg3q7k0ys6mIkoTMMqKUVHZRSkjZRJnZW1Yk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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ]}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVVnc4F84fV8ge2ePDZ4skEg3q7k0ys6mIkoTMMqKUVHZRSkjZRJnZW1Yk
sjJCpUE2ZeQr5ef3z91zz9293q/xfp47sq27yfmtDAwM3pvD/+eeV5OCDAys
oHhobpTAN4+jto34bGNmhbPG+bF82+ex0bF3HzjZWWGPuZgsC+88fjdQmCAq
wApDMvLfZrjm8Zs5P/peaVYY1vl4+QXbPH5F4Fa2N2KFDp95wizDPM7zVTRr
T2aFG86tuSFzc9i1llbak8EKIzSRuOOzc3gXk7DIhxesUGW6uI82M4df3Psz
PFbMCn8a1u5WTc7hjGdN5zZaWWGXQo/X0Pc5/PT9cU/Fn6wgd3mQcXBoDocp
+D2IU2OD3BaDs63Nc9hLIEyaQ4sNRFBtg37THD69GlN7/Rgb8NxtuNDdMIeV
XhVO2Z5gg7NRawG9dXP4k+GUupwrG9iVjCQ2VMxhRXeLxfo4NjCM0p3QzZ3D
Q7n7zabn2eBUfm3v8oM53BR1dMp6mQ1umVIkIGoO53ubBnStscEJZTWX0Htz
OPCwe04JMzv8GD/Ez393Du/ueMYUIM4OmmJPtHmD5vDtGcESAS12kLVzcMu6
vKlfdkkQJbJDPibvgZNz+MYTXTWzNHao0F+57Xh8DvdwpLg4ZbHDv5ygz5Fm
c9h3Rr8xppAdItb3PO8zmsONuZkX519vrmdZjPV05rClwqm3yfPsYPbpEPQd
nMOhyg0BjGocoDW2r85cdA4PZ4jkiGpyQLmqt5Wq8CY/IfcBeT0O2BP0skFS
cA6/XxHfbWXOAUGH3335xDuHieXew8UXOCD44i95DdY5XKois8/+AQe88pBV
TFmZxd/w/enWbxxQ5Her/FH3LFaabbvTPMEBRP6zNoc6Z3FwPPOuhtlNvNsl
6aPts3jn8lWXqt8c0PxdbY3cOosvvjg/m8vBCWGrigkhtbP4r4Dq/IO9nLD8
9/PoyItZLDw19svqNicsKtwUTL45ix1jSQ8tQjlhqLhTZMV/FldqnNp7PIIT
AinOHjrXZvHppC5Pw1hO8F71JU5cnsXpZlVLatmckJakRWZ2mcV76u6vSPVy
QkkeR2OV+SzWi1ZdW6BwgbqQtybHjlnc+jnqnYU0FxjIJPG9ps5iTdmJ1AY5
LmC5+83uOmkWQ0O0XvQBLljWvn/vi+gs3rcw+3S/ARdwPubJusE5i0nHkrH/
FS641TG+j/fnDF5hZA7i6OICwQhzmmvZDPY0PGXh1ccF4soq1YVFM3gh/qXc
xyEuaHjI77OUP4On95zuzxvjAtM5Th2XrBk8eqZsh8kfLiAqDzLLPZ7Bb6su
tMVJcQNLjiZx4coMTvZ8xyN1nRuiB7Zl2B+YwcF6rlcUb3GDRQzbbw+lGexM
5fyGQrhBUDr8oZ/CDN7Xq1N6IoobSHWlKTelZ3CHYrNVWAY3nH6Y2WYjMoPX
flY9n+nghjwLKs+F39PY7OLzI0WSPFAwZXP1XuE0ZnUN9IFXPFBlP7/4jDCN
xb4hwYpmHsiMEr2tJTyNZS3+K9zzlgcoe2/9+bp9GhscdZuj9POAZIr8U3aW
afxQ4uR55hkeUDO5rEv4OYV5fjySGePghai+wU7NpikcH3tB+MV+XmiRf9ue
bj+F81d5F/fe44W0bumkxfhJfMDE5tq3KF6wTDpbezJ6Er/Kzmd+GM0LozuJ
p8ojJnHXaQORX495wVtIYJtDwCReaLpzuCCdF2KPPPt58/wkVojaFrqrkhdu
PWx5mbN7EhfIrBPoY7ywdWtsw9vqCVxo+UNTSHU7HDIKff275Qeu0+k84jy8
HTiwsf+5hjGs/m9nk2YYHzy8nuRcePgb7sRxs9Gy/JAnZ7is+2wUK5Mjil62
8UMC7ycesbVhvL11ed3MRwB2rO5Smjjcj3//cZ93EhEEd6ctVt2HuvFIkdZZ
urggvIk2V9GU7sYNzsTezxKCUOL47fJr/m58d/hdqRlVEOb8Uw0np7owpUrO
H+0WBHXxMsvKx13Y4Oo0J5+GILw+s9dTYbETZ6za76xwF4SIrhVR66AObLps
fZ6lRRBWQpn/wlorLn+bub3kjSD4ZAbsOjXYigmpP2ts2wVhIsTLIKq0FY8b
BAnVdgtCMZ5INvZsxVezclq8RgQh71PvAnWuBSef+iPz9acgyPXfbhSdfI3n
6uPmqglCsDX7VWjkUhM2jfsa70QUgoHX1QyH+ptwudsuLRGKEAxPt93fVt6E
b4q/SvLcIQQfTy2wLfo1YQHvH0Y7FYWA4MjyWoa5CatK7yuK1RKCxO0303gl
GnFoZK+Ph4cQCCeYHWuxrcfk7Pq5n15CMDqCx8Z06nFlS/75Sz5C4P8y4q3E
nno8w3DX9OI1IXjaOXHpw8YrbOSpIe8WLARMtSqlNxJfYZGTJeMX4oWgKtiI
m7W+DmeRY83PNgiBy8qd8Ntz1VgNBbWPNglB7SUW3Y2Gajxk6XnEpkUI7G0O
8ebEVmPOaMM9Z9qFoHle1jFOrRpf3MbKZd0vBGdyag5UxlbhA9O+TSenhODw
6Zk/vPqVuKXYcq8RnzDU1JncvjRchi8nH29iFhSGA75BnpWFZZh218S8SlgY
XtOqGw6Gl+Fb53R9pCSEQfBr+MrQwTKM+FSq1ncIQ97TY7NpT0pxsbvokeeH
hYHfT3tJ4UIJTt05aLL1gjAMv6U+VpAtwsZC77+VOW+eL5S684+1CDNs7fJy
dRMGpc6vkv/GC7H1h5aYQU9h+L5VJCgqrRCLhJYN5fkLQ5NsUQkTsRDfG4ux
PRUtDB653hd+S77E15LNPYrrhMEudS2r4nYePtOz3KHaIAzXuC5rDhnkYXWm
GJnGpk284bZhLbE8zOrYP9r9RhjkjhBfsxbm4mj5E4bzvcJQvu3DNdGxHJxT
e3LXzglhOPz5p5ayRTYeGTk1nsQrAsyyvoy6Plm4jntdbQe/CBwaNlvz1cvC
qfA0IU9QBG643oqYJmZhx/QRsxoxEajSM7WKf5OJl5ytG4doIkCJ4bQXImVi
zj+nkwUPikCAK2ui5ocMrCpqa3nnrAgk9h6+6H81DSuJ8XZp24nAGrOSzgPT
NLxLvPboNgcR+G+1Jm5qVxqWlBDbc9NFBPxjy2UcRlPxVnIPi4+PCAiJijEE
66biVmn1EtsIEfiVuOUGu2wKPn6AwqtSIQK89auzHsqJ2PBgV9DvKhEo/jKk
b/E7AWur+P8prhUB7cw49cKKBHzw0NC4fJMI2Bb2oAqcgAnwoIbeKQI6Z+dn
WI2f4m9aW523j4nAgQx/FUJoPL544mvzBK8onOfqW4g7EosnLm+9/JhfFIT3
67zx4o/FNjEUKV0hUaB2jAdmf4vBxn22wdniolDGiux2BMVgRdNvmm5SolB7
lVVMp/0RXjL43rKoKgpfp2c2yp2isYsbk286EoW9u7UeMUA0/h5BkzZXE4WB
lR69eMFo3NduF1qqKQo/GJ8yNNQ/xKW6Y9pXjEUBjfD/6JV4iH00x9/8sxeF
4wKHIyO/R+GF89uu5l8QhQB3g92VtVHYMUhqp42LKFSrGTbLP47CJ5vsw+sv
icKH02FfVwyi8AH1H7qB10RBUtlB40fNfbx2eOIt2wNR2HVB6/tb43vYX3mq
Q6Bmk++et9d0bO7gnU/ytGPrREEusdcfZO7gAQbPRtEGUQhR7vqX+CscK7T/
KZdsEQVywIHme8Hh+IstV7p096Y/P9lL5IrCsMZ9hauHxkTBmcFMp1UyFC8s
Ly3V/hCFBpvhxR+zITjhVIW72pQoZMRNFtnVhOAVKfXzmvOicPRQ2aqHdQjO
rDE1MvpPFMyUr5ztTgnG7NOXpey4xCAkZqCfWzUIlxqppozziMFI0geBMp4g
fK50Q/wCnxikJHkPFX4PxNU3Q7e7CYuBZjVraeq9QOwqEr/uQxaD/EbGedPJ
27jraE3PHWUxkHVn5L2ZfQvHJDPeKLIWg6SopEozhwB8sq+P38VGDE4c+yIV
rh6AxdizsmjnxMCoHgtzSwbgJM9jPY8cxeDci9cH/2XfwFmaj+i+nmLQY9KC
px7448oZqfZDYWLw443Ym9PXruFr5P9slu+IgaHiFkbuQ9cwOv52OTdSDD6s
e89prfvhxjp3IjFaDA7FN4Wc8PfD7Q/KPbYkicGd5KszLaFX8ccDuqKvi8XA
58psK1OpL052JeT5l4lBVZCN9pfrvtg2dU59f6UY2E2mMx3Q9MXjHA9dsurE
wIk2aGY06IPnPg3Xhbdt6onreLp9qw9mCHK1NxwVg8xi2eRtzt6Y1n2/aJBD
HHysj4veu+uBxY6x8J/jFodyvwXHRjsPvL3luscsrziUOIxx6x72wP+qnfZs
FRIHTq5nI3rzl/BAlka+LEkcqu31lXhPXMLhAasv/JXE4c36l62CyhdxwB83
drb94nCXybuLzncR+1weu/DwoDgYEL8O/Pvkju1ceqSzkDhEqC0kCB53x4dP
5jzr1hYHP+mDT8Z03fCCvE0qzVoc1CbnTSQNXPD4i/4t+WfEwVBXWn+A1wV/
pOufPWgrDmwFq4O8751xm7gKycBBHF7ZHM7YYuWM01gEEn0uiYOp+Unv2ktO
+PjnlsdtQeKgvxi22lHkiKsj5aMu5olD5pschh93zmNFaRHZuQJxGDkY8/id
9XmcVc/Q7FwkDuxRbXJCCufxw6XuVftycfit0KzX0GeHnSy9bKwbxIH6iLH5
Ct0Oi0hVyOv2iwOhuN+kuc8WR9alvGkZFAdbWfNP5rm2mMki/NzRYXEopPzg
UQ2yxfN3TsXCqDiQFb1rGPbZ4tc///7bNyUOpGz6T/snZ7FXjfo76j9xaKUv
KvB62+Cp47KOKQwEmLjS8yfB2AbbLPBvJTISoNRCwfLybhusRx1TFmMlAJfC
1WnWnjOYEhaSwMtHgIP/drRxNJ7GXWbtLn/pBHBeuaaN6qyw3Iw5x4A+ARy7
P4ePiFjgcrNjdeFGBAjrsBz7/vEk1qhR90SmBGCjPWP0TjuJrSLlhzNOEoDX
j6l3h8JJHK7Alu11jgCcRBfVMsMTeNyrWpfvCgHEojklbj4zxx4fC/81+xGA
sMoped3THP89+rzwij8BfOqPi8yDORYQjhH7cpsAr+x0BhQ+muEjFe5T+ZEE
SIk8y8MjboaT/1LC9dMJsG2VddUi2wTvshdFWzIJ8LayTQTdMMFl73h+FT8n
ANP7++mhpib4XdK6BSGfABn3dM7q/zXGf9X6ZaYrCPCMaTXumrkxtgwOexPa
SYDEZovbL4WNsADPAmvTGgH8oHAmqUoPv68JD9H5S4BvLN5vd/rr4WgX+rbO
DQIwDHEPqqrpYf42S8YhJgkIDtnCNNOqi/mCmv/Oc0vArgOaP85/0sG8f+J/
iVMlQImaJNdN0sZdz5UvpdAlIDtQPfXwtBa+f7JrXkpaAu60fHYilmphnlLm
2T1yEsCyIMiJ9bUw96WLP7T2S0DT1Pyd3gBNzPnj6IinngTUnl3+fmNdA7c/
GrX8T18CPvS94urq0MB3Nfw++BtJgIC9aW1wkgbmSC3oDzPf5LMj8yhNQwOz
W4t3J52RgI9JCwdYHxzBrL0LzW89JeBK9EZLFVbHzHVP8qlPJaCMyaC0pxLj
oUMa2p8TJUC3X49V2A3jgsqZ0fgUCXg3azPCR8HYqvQwH1+mBExu22a88y7C
hbmfvRgKJcDCqFfuheNhfPopVeVjiwR4d3n8DlFT3fwPtPfEtUmAJaO2/a0N
FcwW5+Vs1iEB1UOOEuK1Krj4YfPTtz0ScFrpfRT5sArmuOOwUfFRAs7I1IVb
qh/E5Veym2IWJaB+2lpUy3E/jvxtam2yIgENOq/E/eX343Pe68tc/0mA+mur
qMO/9236p78j6J8EKL7ObjcK3YfPO86HebJJQmlwzteMAmXMd2KvoRFREl50
Pm/4J6KEXZSqPrDpSYKsTgv1MezB9V19OeX6ksD6jO+HnfAeLOS6cMPBSBJq
VXk0H8wp4FcZdKlmc0lwES/W4k5U2Ozf+x4BNpJwT87vs8cWBVz9nx3Hb29J
2CHawmdbKIe3x9z4lOErCadr0nPPOMthe8X4l2Z+kiD4ZHc7M10O8zp3nigM
kIT/XIOdjsbvwnYjB9Nd70hC2nhUh8NdWcxZx334e7IkJLz/z/dnhAw+e0qG
92GaJNi4595vNpLBpb+PfFN7JgmPZcZ4ZQVksI3ClbCkbElI1+NYSX8qjYtT
vvVZlkpC3u7JHPniHdgqsNyt+60k+NZetglap+McHdvk2hVJIK5o3J+apGDl
XWSE/5OErsB6zdg6Cq7lHh2u+yMJf4P4qamPKLir11q4noEIDQaTvJ3qFLxs
bRHZyE6EcDrPdfcUMkYeRtdaJYnwoEqAXdKdhFvMeMR0yEQQP2AVZ6hLwkb7
35W9oRIhYTaV2Esn4XPreott0kTQDNaJiK8i4tBgLacORSIkf0wTWE6VxN3x
6GSPJhGe+Fr0aEQSsOX1v8smOkRYLLg9dcSAgL+fqX7Yq0eEK1HzZd3cBLxC
U+l8b0SEv7N+wdFR4lgsX1lzwJII+7qT+B8liGG7xl1KI25EGCm4ftPvnQhe
mRbjHY8hgtfPzL+ydwXxo4QfLU8fE4EyuJ5Ze0IQKxkW3zB9SgTuNUuDLqog
9ijUn3+VQgQnPkq7c40AnvMNePckhwhuB1jf267w43Hm8bvGDUQIEBozMPPn
w0FlhRqszURwraRE6RvzYdqFG+u1LUSIfhL2r4jGh23bRVx2dRDBeZ+yWlP7
dvzpgZ4eyyARwpKrVPrJ23E/8SVbzSwRqhztGttreLB39/V6zwUi2JXcvuV7
kQcL3Na9snORCIRj+tOfqTzYZPzbROwqEWys2bKH7nJjh+McdhVbSOBwaeW8
oQMX/kZAR6I5SWAiv3Sw7hAHHn6etkWXQoI4luPZHadZcBN9RD2SSoLLy14W
0TIsOC9FILCHRgKDvXIDvUvb8K3HQdtO7SDBn0Rbhoq727B0mAOHyy4SsKQY
t/yrZ8ZejrKCkftIwHvhe8ojNSZ8+vu54z37SSCgst3XjZ8Ja9k8jRU6SII1
ciy1YIwRi53kEktSJcF4UKG20x1GXK81L1kAJHjz+LlN8vBWzL2jSLpHlwRj
PiQWw8gteDV1+oLQsc16vt2BuvZb8BdJWralPgl2Din9TkZbcLHQI7lvhiTI
+RoUeGqBAVtu81FcMiPBFaue3T9PMODMMZVDQmc29a+daf/h+g9BeoOhpScJ
SoNYvXNPr6EL8kq747xIoHyDraWIuoYeVGZw9nuToCoy4sXhyf/QWFfoG2Nf
ErxwW40Z8P4Phf81OKJznQSif7wymR6tovfHh/cdCCHBsE54idHUCvr75Zjg
5VASVIsmunCWrSAp19rFojASNLs/j1IJXEFXbqcUyN8lgVhro9wUcQVJFjjs
3BFFAsOSZRs/q2XkyLYkIfSEBGlRh9QeTC6iqOjz66ZPSSDXcXH/1ppFVEkc
GIpKIMGjwZWCvvuLiGtfZSxXMgkuvflSkXZwERXaBmxnziDBKdd1m6Z7v9B6
FSfzUh4J3NNOM9ro/0RRbvSZ7gYSvDN+c/Dg9jmk+SVhYGcTCXQX14v3tM6i
NVOhxtvNJFgZYzw0fGMW2R5kiVduJcHolvB6lZ8zSJFpUutxBwmKdhb3/R2e
Ru8f56TZDJJA/I2gvGLXJArlpN+r+EACxOBm7Bc1iQ7dSLjKN0wC8qWNCCvT
SZRhF2nc9JEE7RtBj78MTqDL8hc3dnzb5LeiE/1u6gcSbt57an6WBKqzA/2M
MuOofX+Opvb8Zr868fnLLI6hgBc0xZQFEmw5ePNdd80YmrgnyGa6SIIjUUvX
MszGULnl79LSVRJY7tfauz/0O7JcqOTzZyTDgIdG4D/mbyhBXL2NU5QMft0M
Cf5mo8jlJecTAzEyhNBcr16UH0UqWgPO98XJIBcZaFjKPor6PVy4BCTJcLam
ps878DPibYsxEqeSYYedp8AOp0/olu90v4wcGXbycr94YzKCjLhLM513k+Ef
PuJ1k28ESaYH+ObKk2FvN99iW88wquoUFNujSIYA4fEpLvNhtCQF1gf2k+Gw
8ilnBZshZN8X/U1TjQw5e/+T7L83iJSczxSHqpOh4WXSiMDJQbR1y86gtiNk
mHoWwNhDGkRJu+qkDDTJwM0mKtxYNIAGb09eMNfb5L+7Muvs536kq4gWzpmT
4ZpLFGvasT60+96P9YALZHiy5/pBDd8eFMJZMfTRiQxk9piYbt0eNBoWXq7i
QobPyR9evJPoQQ8D5byW3MhgDK8L+Zu70eoVz2kHLzIEVi+MZ4t0o3q7jQ8G
N8hAXSotsXvWicS+dpVlB5CB+W3fhYCTncjrTOoj1ltk+Hq6NPkURyeSsjxq
3BBIBkV2f3Udz3co3PBOq3I4Gdrcmbd26nUgMxXhMsIjMnClkTc2JN6i3LKJ
6CsxZGAatWdSG25D25QrPfpjyfB0QnC31OM2VCFvvft+PBl8p3me9Qu1IUl6
WgZjMhls4olbM0TfoB888tFTL8hgOPza9oVqC7o6pnmp/BUZKh2sBTJ/NKLZ
ICelf/VkeLNT8tFoRSOykYr8faRxMz99D83bdxuRlkPf9c7mTT7lyj4MexuR
wOS58PE2MhTXN8i/CmxAeTMBaQJ9ZNjma/r6rko9Ikek21v2k0H8d27lDF89
ipZrlUkeIIMdn3F95vQr5OfGUyA7RAbXL0sNsomvkPZCQrX6ZzKc1Ny325zl
Ffq6WNl3cXLTf/PVYIbeGmQe/SmudIoMEpL3s+wja1Cr0lar9WkyTO/6e9VJ
twble+t8DZkjg4aGWMTRpmp07ffAXOIiGfbVVz2i1FUhoT9LLB1/yZAsmb+o
11WB9LbKq8jwUSBR69xS9IlS9O/lnXhHfgoc+dpmIU8vRQVnJ9YyBSgQkJhs
pbpYgoTqU6qkhCkw+mvX4fT7JejrDYHDNAIFsvWrVxO6itHVv/9hohQFjhK4
5qzsipBc7vHk0zsoYNVVvJ5woAiNWhUxJEpTgOB1NFeNqwhpVrvUE2Qp8O+3
2vXcskLE5/dZXUyBAusFK0wbvIXoxWrTUUEVCniqCxzpfl+ArLPIz8xUKZBa
U+Y2mFeAeE/6b4s+RAFT7a0qymEF6HLZ/hY+TAEN16DcGVSA1C+/0ObVoIDD
gHfBNat8NLR4T4/DgALDYW2Kj/fnIrZ5S+MtthR4vXuQqe3Uc6QZXFt76hwF
fh/uLq2TeI4CJSi7Su026wmGkfRHsxDDscltzg4UcEVPTWUcstBqlk/1excK
9PXohNT5ZaIJ2+gdWT4UkPZ+3KBQl4Gk1n5Hb71CAcHpr6l/wjKQXdSprdZX
KWB+3yNd2zwDjdZRPm6/vunHfzQhu9l0NEB4+cDvFgUyvzhk+lPT0ev+jr8G
ERRI16jNU32Wipjc9jg/j6SAxLmctce+qUid+dEg430KZLnt+Oagl4pq91oV
lT+gwErchrbBrxRUcn/KkRJHAebiw3ulj6agdF2W98upFLC+uEfy9HoSulUL
L56WU+DYlmq1X65P0JDvyvrnCgrU9dwc1pJ/ghT35hhSqyiQoW8cvetnPPqa
Kbz8vIYCUb+F9BIvxyP1qDlc1rDJ95pIy0bIY7TV7mlfdzsF3v1J/5PdGIss
JU2kBd9R4HQTw32biFhUOMjid7KTAuSHm8/ciVhkq+9J+txNgUvSvxbPzsag
hn26zjP9FNj/LzU3TTIG3WRbZWD5snk/e7ijOiYaDTbmmup+3fTLLly50CEa
KfifexbxjQLhRzN5+Q9Go9Ff7/QEximw1LDVgP/jQwQjGTHkaQrcMrkdtyjz
EDHkm+46tEwBVkZYcOiPQgFm+ScusVFhez7f/MmJSHRuxbmsk50KBTyBMoNP
IpFmnLTwbk4q2CSwlQgYRSLOkZT+KW4q6J+661FbGYFiz0Wb2wlQIWts0jE1
7i7K87hieoJIhUjK8Xsy3uEoSmBfUQmJCsGf705n7w1HXqW/+AQoVAj/XmvZ
9SsMqaw593TRqPDZT1TxP48w1HzztLHuTirs1YgdTroaikbuHzE8rEwFye9q
zCsZwahOkSH/yT4qcJZP9I65BqPU99Xca/upoEmPsbXZF4wcRfa9K1WhwpCb
gv1CaxBaTJLWVwAqnKgN0DmxFIjY87n0qHpUsGC5zkk/dxsd7BjQZDtLBdab
sS634gKQlX/HkbO2VPiWMT4qezEA+cs3QsU5KijIfbDarx2AmqLyVC7YU6Em
1sfpy68byOB40O43zlQIoGd3PXvlj2w/KwqFXaZCRbXL8g7/ayjwvjT/Fx8q
yKb3E8cPXEOZapK8B69QIaOW98mxJT80k8bGPulHBd0UBhqnqx/ycRz9q32T
Ck16J8tk7K+iuz8jxljvbuoNwCN3vX1RXurtrzYRVIhtXXgiouKLuk2vfC6P
pMK6TMWQ0oYPEiq1++AYtYmXeMVK9I4PSr6q2tEaQwVy+NwHl+eXUQnjZHFo
ChUG06+HiG94oU+CGoGsZVRw6VCMoG3zQGJTd+x1yqlwPyNOXf3jJXSitlc7
vIIKUh/KXlYXX0Jd9ue4OKupUPbnp3eT3SXUWHYrhqeeCgbMVhxsby6iLIv6
LKG3VIiKcJhyP+KOxuTY7pxop4Il08KJoHU3RNlq7BrXsZknuCeolrqhJy9G
94h1UYEaGMMQJOuGIv9sVEr0beYV+JLTTsIVeSagDtpnKuTuyHhCk3BGBZeC
88+PUsHR/7Fr2mcnNHP0XdSzL5t4x0rrclOdkP2c9XHp71Twz2xfPrPTCZ3E
1z/LTlIhmzGzVgQuIPSl6qfiIhXiNXy0+247IFb6QSE1Fhrc/XAtvt3ODnWN
hjAnsNKgAoV8z1S0Q7FP+5dW2WhgSfrP+x+DHZIS8Oot4KTBsFhPiUjSOaTB
mH+fxEeDjx9nDn4ZtUU3v9A4GCRo8K7kOWPrlbNIO8Fz7ZQkDYJWG752GpxF
vBYNk2VEGijx3rNXo51FyV1nWt0pNMiRWzS07rJBtXXxQZ930KBMUeKTlZwN
WkvgZahTpIHayZNt2ovWqMHizLyYEg3chfJU0p9bozDBvE+XlWngs+FbWWxj
jUQi9Gp2H6CBzTHt1dkuK7T/WvDVxMM0sFBoa42qOIW8LNeXrmvTYCNRVVD+
hQWaFZqYPHSaBuFdwarc/8zRu+XQ2ptnaJBYRMmPeGuOCt7LPHxtQ4MXplyi
Nx+bI68HzoeMztGgilvled0+c7TGNR95zpEGPV9t9ty4bIZYmVf2hnvQwJa9
iijLboqmvsWwdnrSgHCPFXl8MkFvG/Z/5PemgUNbQr1EkQmKDLgSnOBDA8bF
LJtEaxMkuL4+WHCNBqGlh3XkyowRZZHRfyCYBhd7XdMb/IwQU0+6CSGUBo4w
7DZhboTGCo7uOBtGA/NmR9p5BSOU5RbSNXWHBg9Yux1ftRsi+Sl26r/7NKB2
D7HcyzFAh75sb6U9oYGGeW+XU/gxdKKTyOeRT4PgnRpHLpZoI9+a/24XFNDg
3n/fn7+7ro3is3uX517SQC83wPCFpjYaCQn54FxMgyczZr/ef9BCtjCffL6C
BkwHGi0/MGtt/p9r5S0aafA6Squg2PMoikyKS4ltosGtQ4NkxyNHUX6EB39/
82b91jajUP6j6NcFqd8mrTS4b94uyFGigXwokbXHOmjQXH5tfWP9CLr10Fof
Bmigo7rOOZKkjtJv7q/zH6TBSliO9Ky3Omp2376n5sNm/+Wv51gdU0esx5oF
VEZoMEJVSjJdU0MRTHIje7/QIDus4Uy4pRqK81532jFNg/MZjhNOsoDyTjwJ
5d6gwfSt4ean/IeQpdw1FkcGOjTn6nlwdaqibYzWwfVb6BA8bhlCv6OKzuRJ
Bnox0YGAVO4eZVZFvMypN4bY6LBn4CIW3aKCPAqzLj8ToEPihdNhNYIHkGRo
2PKGIB1ct1k4zQ7tR23WTl4WwnQon7j1Iyd5P6Ky7fLgFKPDjz4q7pPbj96f
yXf1INJByc5sKMNgH9rPVWqHdtJhRk1sC/25Evr+NeZbrCwdqnYTz7y8rITu
l/vY/txFh09HpufKNZTQxLmDNunydDgZfGNR6eteFF9ZfYpdmQ69y1rWryh7
0bpDo0k/psPKFQHaroo96FVDF7iZ00Ho1vjcPsfdKLiKMaPgOB1u+FQP/qDs
RvrF+9gWT9DhZ4999b5Pcmgo42m3jyUdHGX2vM86LocWQx1tb56hgy4Y55QZ
7EJShgyB0RfowDu+97i55U40o7V3ot+JDjpjPuNHJHeiIrA/JupCh/b5Opuq
rzIIFNsFEt3owHZmQhlcZZCFYFxGpicd7hanzt0IlUZ3h+VbKq/TgbWBpeF9
vxQyeW8r+9efDidMzR82p0oh0Y5H93AAHWYfP+OSc5dCz2r/nGi6RQdixFTz
KTYpVJfSMtERspmHQbmm+BE6+uVwhv1LFB2u8bftVX9LRSeWIvVZntEh4EGO
WfIOMmp6p67gnkkH6mW1rI0/JKT4fIVvIIsOTzdE5zu6SIj79OnBZ9l0eHDr
zUKhHwm9bpE7p/lyc9/8i9yWXCJSetLuG1RNB3GWgdzbSAKlegecmq3ZzE/A
XpS2REC8RkrIvI4OBW6Sz2++IKAZpqeM9AY6XKzuK3ERJaA0N+fIphY6ZA69
5+vcEEN86uzpjL10kEgzPHlgVgQFEGqDnd/TYWshPa83VwTNrVy60NtHh5CM
TlVedxH0JvvD7rRBOhj2V8fbLwqjAMHnFeqf6NAT9CTCilEYzU9odd6cpEMh
ztYXx4LIqvHPy8kpOoRqdTzgYxNEbQn50cYzdAhyK1F/2CuAnpkIW5LnN/N6
431R1kkAna4e//5qiQ4fRgPSohL4UXtMfIv0Ch0ayYPNec78SOWSwYv7v+nQ
ZR/+WleFHwlKlbrbrNEhcvuzU2uDfOgWg5NJ6x869Idae3E850MLQxLKCn/p
YDb/xzPmCh86XdItHPePDt1//Gnxunyo/V7Q2sYGHRzqVk0ECXzof1AedRY=
"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 11}, {0., 0.9709610360313319}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 11}, {0., 0.9709610360313319}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVVnc4F84fV8ge2ePDZ4skEg3q7k0ys6mIkoTMMqKUVHZRSkjZRJnZW1Yk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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 11}, {0., 0.9709610360313319}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{3.0000000000000067`, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{3, 11}, {0., 0.9709610360313319}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{{3.9919642330912876`*^9, 3.991964236757889*^9}, {
3.991965183952503*^9, 3.991965188526533*^9}},
CellLabel->"Out[26]=",ExpressionUUID->"ac71e15b-ed5e-df47-9b29-0c4867b635da"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"FindRoot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "yy"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
SuperscriptBox[
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R1", ",", "a1", ",", "x1", ",", "r", ",",
"b1"}], "]"}], "2"], "-",
RowBox[{"ppp2", "[",
RowBox[{"p0", ",", "R1", ",", "x1", ",", "r", ",", "b1"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "4", ",", "8", ",", "0.1"}], "}"}]}], "]"}],
"\[Equal]", "0"}], ",",
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "bb0"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
SuperscriptBox[
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R1", ",", "a1", ",", "x1", ",", "r", ",",
"b1"}], "]"}], "2"], "-",
RowBox[{"ppp2", "[",
RowBox[{"p0", ",", "R1", ",", "x1", ",", "r", ",", "b1"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "4", ",", "8", ",", "0.1"}], "}"}]}], "]"}],
"\[Equal]", "0"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"yy", ",", "1.2"}], "}"}], ",",
RowBox[{"{",
RowBox[{"bb0", ",", "1"}], "}"}]}], "]"}], "/.",
RowBox[{"R1", "\[Rule]", "R01"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a1", "\[Rule]", "0.55"}]}], "/.",
RowBox[{"x1", "\[Rule]", "0"}]}], "/.",
RowBox[{"b1", "\[Rule]", "b1"}]}]], "Input",
CellChangeTimes->{{3.9919642544864635`*^9, 3.991964272002693*^9}, {
3.991965198532404*^9, 3.991965201015888*^9}},
CellLabel->"In[27]:=",ExpressionUUID->"96e79a55-1eb8-2a4c-bbe6-5fbb4df97bf2"],
Cell[BoxData[
TemplateBox[{
"FindRoot", "nlnum",
"\"The function value \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{RowBox[{RowBox[{\
\\\"2.`\\\", \\\" \\\", RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", \
FractionBox[RowBox[{\\\"0.01104715727778697`\\\", \\\" \\\", \
SuperscriptBox[\\\"2.718281828459045`\\\", RowBox[{\\\"1.`\\\", \\\" \\\", \
RowBox[{\\\"Plus\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]], \\\" \\\", \\\"R1\\\"}], \
SuperscriptBox[RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"1.`\\\", \\\"\
\[VeryThinSpace]\\\"}], \\\"+\\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\
\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"]\\\"}]}], \\\")\\\"}], \\\"3\\\"]]}], \\\"-\\\", \
RowBox[{\\\"0.018264820212904775`\\\", \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"0.17340000000000003`\\\", \\\" \\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\
\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\"-\\\", \
RowBox[{\\\"0.05780000000000001`\\\", \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\
\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}], \\\" \\\", SuperscriptBox[\\\"R1\\\", \\\"2\\\"]}]}], \
\\\")\\\"}], \\\" \\\", RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", \
FractionBox[\\\"0.028900000000000006`\\\", SuperscriptBox[RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"1.`\\\", \\\"\[VeryThinSpace]\\\"}], \\\"+\\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\")\\\"}], \\\"2\\\"]]}], \
\\\"-\\\", RowBox[{\\\"1.2`\\\", \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"0.01104715727778697`\\\", \\\" \\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\
\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", \\\"R1\\\"}], \\\"+\\\", \
RowBox[{\\\"0.018264820212904775`\\\", \\\" \\\", RowBox[{\\\"Plus\\\", \\\"[\
\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}]}], \\\"+\\\", FractionBox[RowBox[{\\\"0.028900000000000006`\\\", \
\\\" \\\", SuperscriptBox[RowBox[{\\\"Sinh\\\", \\\"[\\\", \
RowBox[{\\\"Times\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\"]\\\"}], \\\"2\\\"]}], \
SuperscriptBox[RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"720.2371797638953`\\\", \
\\\"\[VeryThinSpace]\\\"}], \\\"+\\\", RowBox[{\\\"Cosh\\\", \\\"[\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\
\\\"}]}], \\\")\\\"}], \\\"2\\\"]]}], \\\")\\\"}]}], \\\"+\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"39\\\", \\\"\[RightSkeleton]\\\"}], \\\"+\\\", \
RowBox[{\\\"2.`\\\", \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\")\
\\\"}], \\\" \\\", RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", FractionBox[\
\\\"0.028900000000000006`\\\", SuperscriptBox[RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"1.`\\\", \\\"\[VeryThinSpace]\\\"}], \\\"+\\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\")\\\"}], \\\"2\\\"]]}], \
\\\"-\\\", RowBox[{\\\"1.2`\\\", \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"0.01104715727778697`\\\", \\\" \\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\" \\\", \\\"R1\
\\\"}], \\\"+\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\
\[RightSkeleton]\\\"}]}], \\\")\\\"}]}], \\\"+\\\", \
FractionBox[RowBox[{\\\"0.028900000000000006`\\\", \\\" \\\", \
SuperscriptBox[RowBox[{\\\"Sinh\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\
\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\"2\\\"]}], \
SuperscriptBox[RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"\[LeftSkeleton]\\\", \\\
\"21\\\", \\\"\[RightSkeleton]\\\"}], \\\"+\\\", RowBox[{\\\"Cosh\\\", \
\\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\
\"}], \\\"]\\\"}]}], \\\")\\\"}], \\\"2\\\"]]}], \\\")\\\"}]}]}], \\\",\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}]}], \
\\\"}\\\"}]\\) is not a list of numbers with dimensions \
\\!\\(\\*RowBox[{\\\"{\\\", \\\"2\\\", \\\"}\\\"}]\\) at \
\\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"yy\\\", \\\",\\\", \\\"bb0\\\"}], \
\\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"1.2`\\\", \\\",\\\", \
\\\"1.`\\\"}], \\\"}\\\"}]\\).\"", 2, 27, 2, 24487566792016397019, "Local"},
"MessageTemplate"]], "Message", "MSG",
CellChangeTimes->{3.991964272641367*^9, 3.991965207078659*^9},
CellLabel->
"During evaluation of \
In[27]:=",ExpressionUUID->"293d998c-aeb5-184b-97de-8f2d9e85e42d"],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"yy", "\[Rule]", "1.0285007968743203`"}], ",",
RowBox[{"bb0", "\[Rule]", "0.6825258812945496`"}]}], "}"}]], "Output",
CellChangeTimes->{3.991964272691372*^9, 3.99196520714266*^9},
CellLabel->"Out[27]=",ExpressionUUID->"a6d0bcab-7a5f-3241-a90b-d597e43a8a2c"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"yy", "=", "1.03"}]], "Input",
CellChangeTimes->{{3.991964278686388*^9, 3.9919642789396744`*^9},
3.991965211114523*^9},
CellLabel->"In[28]:=",ExpressionUUID->"e7f8a0fc-58ca-3c43-8050-1041e5611e26"],
Cell[BoxData["1.03`"], "Output",
CellChangeTimes->{3.991964280066925*^9, 3.991965218521267*^9},
CellLabel->"Out[28]=",ExpressionUUID->"47b1b04b-24ab-8646-9e9d-741b016fa08e"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"bb0", "=", "0.68"}]], "Input",
CellChangeTimes->{{3.991964284161188*^9, 3.9919642845938396`*^9}, {
3.9919652166473465`*^9, 3.991965216788891*^9}},
CellLabel->"In[29]:=",ExpressionUUID->"8a3efd5c-480b-0b42-87de-a0381a89eb4a"],
Cell[BoxData["0.68`"], "Output",
CellChangeTimes->{3.991964285066065*^9, 3.9919652203929043`*^9},
CellLabel->"Out[29]=",ExpressionUUID->"aadb20c3-ffae-b946-a5c2-c62eda02df65"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"l22", "=",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"{",
FractionBox[
RowBox[{"ppp2", "[",
RowBox[{"p0", ",", "R1", ",", "x1", ",", "r", ",", "b1"}], "]"}],
SuperscriptBox["p0", "2"]], "}"}], "/.",
RowBox[{"R1", "\[Rule]", "R01"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a1", "\[Rule]", "0.55"}]}], "/.",
RowBox[{"x1", "\[Rule]", "0"}]}], "/.",
RowBox[{"b1", "\[Rule]", "b1"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "4", ",", "11"}], "}"}], ",",
RowBox[{"ColorFunction", "->",
RowBox[{"Function", "[",
RowBox[{"{", "Red", "}"}], "]"}]}]}], "]"}]}]], "Input",
CellChangeTimes->{
3.9917168848265095`*^9, {3.9919642917670784`*^9, 3.991964315141735*^9}},
CellLabel->"In[30]:=",ExpressionUUID->"a14f3f77-6d27-1048-853d-e35ac0579b5a"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{GraphicsComplexBox[CompressedData["
1:eJwVl/cjFW4bxhGSrzj2OQfHmZlRdut5biUjRVFGSkZEZIushArJLCqys4pk
h5AIJVTIihJChaJSobf3l/v+B67xuWh27iYOHGxsbHz/zv//MZ3kDWxsBJDx
CbT7r2gW75wUbSqLIUD03/c/jj+YwROvbsntYAnCkEOcyEu9abwkIfAxv1wQ
rk0Ix3QnT+FxQsAZAywEDfxTBWY3JnCKyWxeU78QiGReDIunjePKeQM1yZPC
kOmRe+rs4TGcOljic2BVGNRaaDfPzQ9ia3fekPIkEehZHZyNmOzF0TZHhlel
ReHEQ2FaYW4PDk6/80mqRhQELk3PvTHtwIOak8Z0XTHge+Zga6/8BAsFSwRb
vRSDob3ZKPVePRYWMD9+2kkc9l9Rzd4bUYGDVi4kHP8uDotJO/oWE4pxsUaZ
/6ZYIkhnB5hv88jF9ZKDskwmCZStuUvKSWlY1XpekbuUBK6lketzs5Kw12fe
iUd6ZLC/ID9RbR+NSf2i85Z9ZPgVdDpclxiGI/k2FT93kwDX5+FmwR/9cN+c
opoXlySYvFw+y17kjqMVGQKrCZJwrkZ9OC3QAa+vptw+Li8F6z39X49JH8Of
0zacz66RAq1wR8WzH0zwfaVPcpI6FFBs9Ohpv2iAt218ddllmAJI/8Gu6DzA
inoF2zKcpKFD7O1tCVMNvDilbdzLRgWJC9ZZYTOKGLMpOC4aUoGYEe5kMUTH
uO2/fM5EKpiO9vRdMiDhHDX3x2yjVLBbS8h/Y0fAdcbPuOaZNJD3XHQSGeTC
zU2ZJX6naWB5MGpz6NFVpDjwa8unShocXPfmozX/IjK8ve/twRUaNPmxMezO
zqAuHop9lj4dVGTme9s83iEu+ozQRBwd0C+NE6ODfUghQVnmcR8diiUbmzL3
vkAVecsiUTQGbGh19lRfbEbfnB8q7nFiwJMzQ1022g9R0usVqekKBnDa7Q1j
6JQiRlKdtwwbE8rebXvWTbmDTrF5LVroMsEl0X9r8fY0JCByd79vIhOKw1Xf
cO1MRK59w93hg0x4l78h9CuORNWfL1crSrNAZFz3hYh2KHIsqvJvOs2CS2qT
vZUCvqhD9K297gMWJDmYbV4Qd0Wv3qr9+fuXBSa9zeN9Y7aoU6T/pKUuAYw2
104uacxiwrGBpR8DBJDwGV313TCDXX8ejvR0FYS52kO2XwI+YpdknSL/X4IQ
59eaGZA1iSPOB3/Y6CoKrx4MLeTTXmAFl1Yp6l9RGL1TF1FHeorPHg2dargi
BuL6LxQYGU1YSHfbl3FJceApC5O2M67B7Rddf34oEYdb6pI39no9wNdIZK5m
bSKovWqpVckswBWFrQdZg0SwHK0Koy1nYv9dE/Kip0kQxOP2sD0sBZuwgnnG
/5CgI/2AM5aMx7q28TNXYskgPWDwVmr0Ij74VapLiC4Bc7YJFxrdgnFJcOEC
pVYCom3icj+c9calGwuyqg0lYe++ugJH8dO4/SvVbPOoJKwtuq1utrfFv+VE
+EM9pcDishz7j43muMsh4PCJNSnYzpg5W8dvjJdujw48iaOA7Op+bpd0Hawi
/8iGiy4Nkz3fvovt3YGjeMU+Myqlgee7+oW4n1vxTe+qIftNVLjK03/Fw1IG
N9qncq+4UeHC1FCM73sK/hq8q4KjhgoJ1n0nfK1EsHJz2gc/dhpcCh2r9Wvm
xShS/Wi5Hg108vULLKfZsd/+F+5b42kg8yn2+nDeT1S/nb6eMkiDC8XLoQIy
84jPVI16jk4Hc5+NEZ99J9Dp6+vqdrvSgfPA315S1xC6Ycl3+1UZHYb0bE8o
j79ECxIilDt/6JBNGXX2uNqGTHkGqVM6DJi02r1n30IDaqZY3bkey4Dv6732
N+tUICvVkfbLQwy44+lX7qlRhFo7klWBwYTOs41X+XSy0I5ofuopVyYc0PEJ
3FSajBp89sSuVDKBg9hrw/noKhJ6/2CPxQoTnkdxyIcNhaNYQ+kbP3RYcLBm
x5Ek+QBEfGfgti6WBSmvA2N3qnqirl+RyjkDLAga6j1V4OSIrilqVCsyCEDA
ctdKvGZxHtVvqLeMALKcUqFRNjNYdvKnRb++IFwfTBfbP/ERbxks1I/vF4ST
wk2mDZQpvN7DeYxLVxSIAT/3X5Dvxr0RlZwZw6LAMWYa1nivDct2qKQuOImB
SKTSS4nRxzjRVl5d+qcYJE0sbZs/XYvdntnK518RB062kvshX8owz39Gz+Mk
iMDmI1On+bcIb1mom7hTToSwQw89d2dlY3LxaKGkHgnsWvbu66y8iZu1q8hL
fSTo87Vbe9uRgEfyXkwxXcgwI7/oNc4diSs+3LSu+kMG3zCnJ9omoVii9aOR
7zUJ8NLJlepO9MW7Q2Znr8lKgsrS6KelBlcsJ5CtIlojCT+erfJuOWyPQz1u
9s0dkIK5UK17LD9LfJy9eSZ0WAq6dM/RblMPYZOpk+wLzhRQem4c9GNBF1el
6vnUrFHgRMX2ojd0hIdkxxLfx0qDSFu6pc56Nay7eUUkTZgKObwGqgV/5PDf
rfZVfsepwKcxPNonQMM3snOL192hgpvLPh/XUjHs/OeiSf08FRSOrAZo3N6I
Vz79VT6kQYNGo3jeqrZ1OI1bM+5wMA0Kt+2i2lr+Rj4b+NMi2mjA+/H2hpjt
X5Gif+PaSQE66JctSmx7PYUkuwkCXkfp0CF6JHRz6VvU9ei3uVUWHWh3NNoy
W16j2P4sevk0HcIScyq7tJ+hiDfTtzRVGYAxQZMs/Rgd1eF1dg1kgGZRI4kz
swr5hbsuVrcxIChqpb5etRj5KBW+LhdkguYv0u5bxBx0aG/TBhtLJuhNcOZX
Gd1Ejjp+X7RymTBSmr/9kF88wsNPN8zNMqEh8gpL6utFRE97nS+owoKSwVeb
T8gHI7w3dNE2iAW/GiU1zvF4o8715R1LLSzgnyK3aIo7I85VX6FLzgQQ8mHO
3PwxgwNStgmQ/hKAN8esd/7uNG759GLr1RIxuMhxrEZwogEnyuvfydstDqyl
86snLKowXduvhfpKHK7X5ohvEyzFVNkptHSKCFuEQ5dueOZhLfvu+tw1IqyZ
ajyymEjH/S9m7m68SoKSlP/k5IOv43EenR/dNDK4Pas3z5G/ikslTD9/e0CG
W3tUSjQmw/Hntaxd7voScIcq8tvncgDereGS2D4mAWZed49HxXpiqdsOFkNu
knDEeDP1TPEp7NSbcW4vpxQI3CZTynRPYO8PsbqC16VgcrSr7fzoYYyeqTTu
olHgyL5xy/cy+3HyEYvSlEoKlLhK/b1+eTe+X6NywGSvNHj51Ffeu6eFtT7v
3+s4LA3qA4pr41Jb8OeHHpkK26hgKZu5Q+8PE5+//tosNPQfDwQWpL//KoH3
WfbXsj+nAg67RCvZI4S/R5b7qArTQMn7ehqbEg8OZbpEiFr+y8saBQMDDTZs
kmh/kD+HBgINlyc/bf+OOF01vKpnadB7QnJCSP4z+rK5UPuqOh1edI9c1jEf
RzVWPxyFQ+hQue+44h3VAWT3XWrcoIUO/O9q4is29yAT20ukFH4GZJZzP7Sk
tiL6to68a2YMgDIaXl6sQ/K/7r5vyGJA+kmv98ayZQh/MEw3/8KArSrPKOcu
5yMxh4ikTjUmOKWb8z3TykCs7mMabueZYFT1rO+32TUkekdAuamNCRSZ3Nsl
Q9FoYiotuHkjC9RDVSTbflxAv3+fjhw2ZwHTzUyh9pwfWggQnsnNYIHrtq/j
1mLuqOeT9fVDn1nQYfvSOGDdSeSv5WiTLEiACaFCuYnYWfw1TPfFkwwCLF+X
maqOmsHcxwwe82gKws616McdYtM4MWBEXLJVEB4t0855WE1hfacTb9lVRcEw
Wf/pLYkeXJCw2X+0QxSe669EtAe341C2GN8oczF4GTZs5h7RjE3m6Za7JsRg
xZL6fvpSHW5yHXnCE/BPz2bp5kcry3HzOqeSszxEWAnYrzGjfQ+7CVcrTWUS
QWZvF34TnoM/TVg5Z6qToDCY+6bz+1v4d/crxmozCTL4/irtLk3E+QauDp6W
ZNj7orgmQikKT4282RQ5TYYpesb6dOUL+NU0d0jmBQnI/UASq6o8i2OqrsSt
E5cEYujmtHwFNzx0e5y64Y4kMJZCRJtsTuIW4WPbNu2UgtL8W+NKT45iZrdD
heAzKaBYJ59JXjmEQ3kLRLnN/+VlnvN8noo+9u/lWxP8QgFWUIfyl2KM19Xs
cWwKlAYf8xcBe1jqWJJXWkWLlwokUnFVhpMClibpxVYepoKOokrdyXka/qxm
IR+RSgXaKLf72qI45r7xO2p0igomr+++2ykjgEekJsmZm2lQeW91rLeDE9//
8Iky5U0D33Nufte6/6CehfCp6gYaeLOR6xMp31A9L9fcEBcdwlVGYpMlptF3
F/GHUYfoUF/Y8NoTjaHZec/KjBt0ODWW2pbU3otGyqeZ28focPn5IZ9dD58j
ycYFcxt5BtyKGZvXWteMNr15/+yNJwPOtHBs8fpYjS7ereA52MAApcZ68wuv
SlCnTVnOFx4m9LCZCSiL5qIR+s2QEWMm1MS1iATV3kLbFQWlzFOZUJ7EZzpl
moDMLF5+1hpnQj3lnQRL8DJybSlWzpBlQc5e6xeFz0LQKz8JjQRvFmjvxJcv
cvmgZ/ztyVJ1LLjnYqteE3MaTfPk1c2bE4CponzvhPgsbv3Fw8HzmQD10wOL
4cPTWIohw7fpthikPn0yYsvdhE1qoKNFWRwGin6nOBtXY98PX4+HNf3LT/mq
zriGUjxEZaMPHyaCJp/0Zr7wfHz20jPuyU9EkAoJezW7JRPnc51ySQgkwYFD
+q1hAcmYnGLzd4CfDAaJZ7qNCmJxYMPX0ziTDLK9E01zwxGYsjzGpa0uAUWn
+dUffw3Ey5bRjxc7JcBRQ2IyMcgLO/Zxr+oflwRP++BhwrATJtq/O7XtqySs
S6M0uQbb4KpLh4r0w6Vg1X5zgNX8kX966I/qEqDApsaBYcPEA7j1XGpLcTYF
ooTEFD5f2YM9vv7sv6sqDV075DKyF7Zhm8AHxL3t0iC68WSkKedW3Jyc9KhN
mQpZpsQMQ/omnBFUrdTgR4X241w7TWykcPqnKM2wx//6/cr9GlN9YZzIkr13
hJcGMy13BD64b8AnzA66nzxIg2jTjOdzG9jxSXfiu4ybNGhPuN8X6fQD2Zje
q599T4N9usLWC+lfUFDT3JZ1inS4Wr//sfKJDyhheYWg4EsHHbZj89b+gyhY
5jqOraODYrDjk0COlygLvZCgcDHAsviJ+lmjp6iW+tL+0YF/e6nfecTD6RH6
cSV8j/wNBjAeTG2UVC5HB/67Vj7/gQEyFhFBpX0FyC3lqj23IhPCCSy3D6cz
Uek99buzvkx49eVngVXgdTQbU2g92vBvTx1spXvsjkF/7PNtNnKxwKte4e+N
8TCkw9hLcDZiwalL5XHd7f4oorhEoTeZBSdUTY0HLD1Q9zdvu4BxFtTU2q2e
2uyAXk4YtMv+YIECU7vi04wdOo3W1J7zEKC7WZb9ZtosFlMr0d2RTAANBvav
uz2DfcW9vtOUBOHPqoJckPI03vPc969tvSCcO9DVtO/cFHY+eXTkvJwoDF99
r9R5ogcL3ZjZutYkCo+4ZbyVp9uxYlrNeJ+RGAgJBMYeHmzGKhrSLp1DYqDh
o7l6mViPZx/djN/mKQ4ltXx6nyQqsDTbd+nZNXHwFYi5sXP6Hua/U2F6KYUI
hlE8vB3LObg3lGwwrkiCjYlrmV8DU7GYuG3BhYck+HazZ+GKTBLmS63LTTlI
hrLlRop9WxQOHfzB+3WUDJ9mt2qGZl/AxQHJohr+EtCya6Nu2X4/XGoy8n47
vyQoD219kDjthlUmOYjhqZLgt/uxruXnk9jRYdcnbVUpIIWJJji4W2GeqmrS
0cdS8POmmXyWmwm+kdYhnXCAAtU5p0T/DOrjAY/5ZjRBAYfGhw5+uwDf+Pu9
W9lLGuZvrnZsqlXHkf6lcImLCsnVbr1hmxTxfb5tAYcPUoH8H8+0kz0di609
cGpJpoJ/aZCeTxoRH56quOM+TgWG81PegUUB3FllHq8nR4PPW7kknhpzYS2T
p1NK7jSQ9U41s01cQSETDVcO1f7T/xbB9B/XviHO3vxJUXY6EDcMOKQ/nUZ2
teRY0QN0cCiv21bE/Q4tR26e0L5GB4nGU/bhxn0ogs6XFzxEB+usb5oNQZ1o
usynaonFAN4AtY4H55pRTOaLwI1nGHDo8Sj/hsQaFNNoIZz2kAElwVr8HkX3
0fKvqivRnExYHmA/ZnojF2UncD0kGzLBRTJa87tfKmJSR9Wmkv/xaOFpo8Cn
Ceh9spn16FsmBC6Mvs3Lu4wSB24tTjJY8HjtaptbznkkKej8RtadBd2fvvjP
RfqgfYkmq1urWDC+mh8QZeyChvhRPNOYACnfxgaNZWbxbJFH4PlxArSaX/5S
+m0aP2swPed1TQxGG8nBaiZNWOXvzmHTTeKQPiRWo9NVjdPV7suXV4tDzpQ8
IU38AdaUuppkZEgE43UfsumEAixKbFe4OE4Ei6JTfF5JmTg+i2X42osEgQQN
X+3VZKwxOhd+nIsMAXaHjTa4xeF3AtpFDilk2NBQcCPO6iKuXlqbKVSQgB99
wbXDxUH49SeSZdQTCdgY8OWV7LIXvuJpbhx6WBL2qH5MPernjD2K2E6Uf5QE
l1kipWvOBlsMqBw7GSAFsCCycyrIDM+GyM6LradA9utHSupGRnjkv0ddWjcp
IL3J/cZRYR388upQ6oD8P/4cufK18cZ2vNRsH1bRIA25yh18B4K2YiUuVqeo
AhUGKR8MOus2YWWPQvJxbyoYTvsVhFAouL3ig29zPRWiz9QG8PQI43fe421T
XDR44vIncYM4Lzaab574bz8NGB+HfzX7seO5t9/yp6/R4O0XPfarXD8Rv95H
24i3NBDTr2ZF2syhlqgEWSRDB477mZ/zpj+gNV22qSoPOnj4/9Lnpw2h6KaD
bluq6aDH/0hr3uMl0i9eSLNlY4A2aXaw/dNTdEnkSPMhAwZseR2d916uAR07
4r50IokBNXkVrdw15eiwtFbDjjEGyFtxNd0PL0S3tiQa5sgw4XewFzu5PxOd
lcielPVkwsHfhnZ3hJNRb+jZs2dqmZCo23L24GoMupSt+KqMjQUOJoELbMfD
kbOmSu99AxZYrXtpauh3DnXprnS6JLLgzs+UPfKtHsjo7Fp77FsW1HOIiXa1
O6CDTr1Ku76yYKze/FWlj/0/nm60FfnDgq2WpOS/dnbIXntfhgMnAYoe27od
zZnFhXx26/wSCEC2Nei4kT+DFX0vxZXICcKOE6L7y3ZM4zTv3YucNYLQydHy
TjxyCgeMvxluYIoC2TD+ICusB+untvHH1otCBL33wrBUB+aYNSIF7ROD4qHP
xRqcT3C2pdSScL8YOH9k1e22q8chjss/XrqKA+OoxPyocQU2CqkbYPwWB09D
5/dFO4vx6BlVx/5EIpDnbt3dopaL27t+aYXLkmDRdeTs6WepOHd7weyTChLE
terjXSeTcOMe+xb5/WTIu3A9Vko0GneacwezhsggXdr4hOvtBXxrj/X7UG8J
oLpph6Td9MPNmZxX+jdIwszNjp/V+u54lCdJuClZ8l/f+RpEqDpgDX6llm4l
KSA8o98mtlnhgEKb/Wv1UmCk1GzyoMAE5zoM5fbrU6BidMf4QWUDzNNow+ob
o4DZXbbYYk/AdozuiFNnpMFNaFlHilsDNyj/0tu8jgpRCvjPscuK2I9bZYFh
RIXqR6miYel0XDQ+evnkNSqIM2N+n/pGxEEbE1W13v3zw3lt7o1KBKyzTtBQ
QoYGxFPs+9iuceHgqPJ9r11pYBWToNnyfQUdsT5mTamhQdD7u2v6L7+hAq1z
tuVrNOgTsauckppBN2zT/If30SGXQHa02/EOhRy58kcokQ67Oyliu6/1oYHB
247SA3Rgz771KfRdJ+q6VzXZwGCAXkMTt2BVM8IX9xwuOM2Ax2aUWvJMDYrv
KCLurmbAahD8OsBXimJ1H/614GDCkzP/qbOGcxFnx47+h/pMmBoT2Zg/kIrI
t1qaiq8xoale8e47tkS0SYMk/mCYCZfv7o19+e0yyrVLOBJFY4GRSLcb14ZQ
9PitQMGSKwuSjQz/TDz3Qby9KVvqy1nQYNB/e325C3otGP27YR8Bbj+oLFdQ
nsXB4UyturcE+EA44kRdm8aZfLP3ifFiQBF+pBrp34Sz6TtOptLEYZp3sDaa
vwarvt2YYFguDnkvA1/X6zzAjqmm+yN1idDTpHHvmXkBnnini/reEiG7x1Ii
ojUTR8xz7vBxI4G7pKzSXZyCW9g1nmawkaG2aYX37qs4nFQz3bGcSIajhdf5
/dMuYk5v/mOjmyRg+9mtWWUbg3FTxXtmb4MExI0NnaJqeuP0xvPLEgclwSb7
2vepp85Ysiv+6MK4JMTYMbhuy9piuQsM9W++UrDd+Bh9pcUMH/N6SavjoICc
gsLCeLERnu59YRpyjQIXi09vOGOhgzlGDNfcNkmDRbxqkt3cdtwwtVPz80Np
8Jc73xj+cCs+WX/mdb0sFS6yYjSIvDL4p3N2vKInFVw9Syasz1PwsZuE63a1
VPhdHnxAV1QE86Q2Hrm/jgZyX+1/qrvy4qc7gjLGDGjwKCJ4uuI+O1YRffff
1UQayI+SmIVHfqLJpgi1Q8M0MI81+qDwZA45zdnlDjPpwBm3A7qUJpDa3IWe
IDc6uBwVauL2G0KCV0suslfSYZakm6xW+BKlnQw7vm6NDjbFujTCzjbkyp/y
VUKPAT3iBt99YhqQwPbJzt/xDMjNs2uaXi1HFnLRT96PMOAn/aPp2ZFCtCX4
WqMniwl1FnnFtXxZaMBkgKPdjQlbpJ/JHbdNRh2/j3Go1zAhdtX779VjV1Gn
9nz0xTUmrKP+Zh1PDUdBj2U1TPX+6StPqMq05xzyFs65rRnPguEqERj644H4
a/asEIdZ0C/+9IE80RERikh2bXMsuLyT9jO5zh4J5XBeT1/+xwfySjl/7tih
ROkApehVFqxK5lGXqHbo3W6PXhUOAgSlGHyvyJvF35br3ovEESBvxd4u5N4M
5smNH/GREYQAOcPUFu1p3N4me6a/UhDi2Iwcz8ZN4bCsZCtruih4CulP2Sb1
4PE0jdUjtaLwIGD1XrdWB54j3FIz1hcDL27HsiekJ/ioS1pN9et/e+3VRS2r
y/W4vVZGPv20OPRivZF1pyuwwyNKZdNPcZDuuj2reqoY677ycg+JJ0KgfmwH
1SQXN/vOlJpuIsFECnl66Wsqdu18/p9DGQmS2Ir7BsOSMJGoeXjJgAwirudT
jHZG429i/FWNb8gQZk29Ffv7AhaU3a23yVMC1l90/3imyQ93tt04kbteEki/
eP5onnPHFWSrBOtrkvBaIL7Uy9wBp9vllSYrSkGfmWyI5aIVVmVUOvTUSsFh
dvH1q60mWP6Z3alzuhSI+/jIwumoAaY63jTLfEsBwWjdJe4YwHqVO06sc5EG
2tmduwIVNbDFldvP2Tio0KJsR9StUcRW4Up3/ztAhWv1yz5H6ul46bBviloS
FQiqj5pfSpEwISs0QHKMClvfFLId1yfg0MIzslybaPBg4dCCWxUXprKKgu64
/OMJnYzWHzKrCCTutnFW0yBHYeBo3fw39HvWVjps9Z9f7lu1rhrMIFX1t2ca
DOhQ3fXm0N8j71Dzju2X/8TTwa8w2Gqpqg+FVU7pLvTTgbtfdGpC6AV6XGi+
mkNnwLGe027Rvc3ohl9Ik68zA6Dk9KKY6EOU2GUqIVrFAKvQoCyqbCkacK3d
BuxM2FV/aufYSi6qmug/GaXHBAPyr33nN6QhkTfVlxKSmPB4hUS1oiSijosB
3reGmKASNFq8mxSJSvJjuK2oLIhl3exYYoYiER37+CEXFty7MrPw4IsPmvXZ
vu9CGQvq0J+9RpMu6KBwqXKMPgFq3HIyhFRn8VP3EDHLYQLYL55061o3g6+o
qj//dFUMstyePum80oSPqtXKYmlx2M6/ojqhVINDtu5qEX8gDmmDafI+Vg9w
8FCVLEuHCI6sxRtTgQV4/95LesHDRFj+oG/8eDQThyQvlem4kuB3Rqg1wzYF
X0my/AhrJPDhVNtZzRGPP8fUWzbHk2EjqU5e9dFFLK8idt2fKQF2CzziQigY
a95sjT5X/6/vuz87T5t54/wp4RczByRhv+4mTZ55Z/xtzGIg9p0kSFzPF3+x
1xYn9qXSHnpLwbmRFsdjM2ZY9DNrx1U2CvTWdmbJjRpht21mYrRECqzcEnMw
CtTB5PAI5e1MabDcn2x2i7QD5/oXCkZWS0OBdUuP28BWvCYuZB4vQ4Xy6H2p
2Vtl8PBUuqGIBxUqkho27yml4Lz/8nNVHlJB8fz9AKwlgtOUStKSOGgwfkXn
u2oKL+YYHwjq0KfBAMfzZwvP2XFvaf+uEwk0uM/LbS4d8hP1BL++rTlEgyjt
Ot/vS3OoNtPQrohBh8mrMkbIZAJ1P25uPXGGDm8SxB+5Zg+hw97HBWfL6fC1
kEcutfUl0oXnu3pX6NCTYTSddrIN2fyntYFdlwE0iVWyZkMDclKkbmuPY0Bm
2aPjGrQKdFRJ9WnFMAMEXc7KHNhQhAJyrv+yYDKh7Zef6QHZLBTt5p2QcoYJ
OR9CHTIik1GL5sF2YjUTKnQ39WXFXEXuCQc/uq0ywbTmu0N/bTi6yM38yNRl
wan9Dkf3r55DT8/9uCgVx4Is6ffLPuKeaM5iSnR0kAXbk+Rl94IjWthXHxjz
hQW6WhF0pzF79G1Pfon9TxaUL35f7G2zQ15NkvrGKyzgGatcG9a2Q2Uhb0Ra
1/7l74hBvB6bHfofbUKTUg==
"], {{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwl1mOQnmcAhtHd2LbNxnZj221s23Ybm21sO2ls22Yb2056tv1x9n2ue57v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"],
VertexColors->Automatic]},
Annotation[#, "Charting`Private`Tag#1"]& ]},
VertexColors->CompressedData["
1:eJztyrsJgFAURMHrJzCwCVvRwMTIEgyEB8IDtX/UQLAAw0kWDjvdkue1LSOO
OiKmdJxrEd+qnmrumcd+yFve0/OneAfHcRzHcRzHcRzHcRzHcRzHcRzHcRzH
cRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzH
cRzH8Z/4BZdCRh0=
"]], {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {
GraphicsComplex[CompressedData["
1:eJwVl/cjFW4bxhGSrzj2OQfHmZlRdut5biUjRVFGSkZEZIushArJLCqys4pk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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwl1mOQnmcAhtHd2LbNxnZj221s23Ybm21sO2ls22Yb2056tv1x9n2ue57v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"], VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 11}, {0., 0.8332573817712089}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0Fd4TR0i+4tnfszxvzRplb7t3lCwpirKkZImI7LJLqJCsRUX2bEWy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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 11}, {0., 0.8332573817712089}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0Fd4TR0i+4tnfszxvzRplb7t3lCwpirKkZImI7LJLqJCsRUX2bEWy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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{
GraphicsComplex[CompressedData["
1:eJwVl/cjFW4bxhGSrzj2OQfHmZlRdut5biUjRVFGSkZEZIushArJLCqys4pk
h5AIJVTIihJChaJSobf3l/v+B67xuWh27iYOHGxsbHz/zv//MZ3kDWxsBJDx
CbT7r2gW75wUbSqLIUD03/c/jj+YwROvbsntYAnCkEOcyEu9abwkIfAxv1wQ
rk0Ix3QnT+FxQsAZAywEDfxTBWY3JnCKyWxeU78QiGReDIunjePKeQM1yZPC
kOmRe+rs4TGcOljic2BVGNRaaDfPzQ9ia3fekPIkEehZHZyNmOzF0TZHhlel
ReHEQ2FaYW4PDk6/80mqRhQELk3PvTHtwIOak8Z0XTHge+Zga6/8BAsFSwRb
vRSDob3ZKPVePRYWMD9+2kkc9l9Rzd4bUYGDVi4kHP8uDotJO/oWE4pxsUaZ
/6ZYIkhnB5hv88jF9ZKDskwmCZStuUvKSWlY1XpekbuUBK6lketzs5Kw12fe
iUd6ZLC/ID9RbR+NSf2i85Z9ZPgVdDpclxiGI/k2FT93kwDX5+FmwR/9cN+c
opoXlySYvFw+y17kjqMVGQKrCZJwrkZ9OC3QAa+vptw+Li8F6z39X49JH8Of
0zacz66RAq1wR8WzH0zwfaVPcpI6FFBs9Ohpv2iAt218ddllmAJI/8Gu6DzA
inoF2zKcpKFD7O1tCVMNvDilbdzLRgWJC9ZZYTOKGLMpOC4aUoGYEe5kMUTH
uO2/fM5EKpiO9vRdMiDhHDX3x2yjVLBbS8h/Y0fAdcbPuOaZNJD3XHQSGeTC
zU2ZJX6naWB5MGpz6NFVpDjwa8unShocXPfmozX/IjK8ve/twRUaNPmxMezO
zqAuHop9lj4dVGTme9s83iEu+ozQRBwd0C+NE6ODfUghQVnmcR8diiUbmzL3
vkAVecsiUTQGbGh19lRfbEbfnB8q7nFiwJMzQ1022g9R0usVqekKBnDa7Q1j
6JQiRlKdtwwbE8rebXvWTbmDTrF5LVroMsEl0X9r8fY0JCByd79vIhOKw1Xf
cO1MRK59w93hg0x4l78h9CuORNWfL1crSrNAZFz3hYh2KHIsqvJvOs2CS2qT
vZUCvqhD9K297gMWJDmYbV4Qd0Wv3qr9+fuXBSa9zeN9Y7aoU6T/pKUuAYw2
104uacxiwrGBpR8DBJDwGV313TCDXX8ejvR0FYS52kO2XwI+YpdknSL/X4IQ
59eaGZA1iSPOB3/Y6CoKrx4MLeTTXmAFl1Yp6l9RGL1TF1FHeorPHg2dargi
BuL6LxQYGU1YSHfbl3FJceApC5O2M67B7Rddf34oEYdb6pI39no9wNdIZK5m
bSKovWqpVckswBWFrQdZg0SwHK0Koy1nYv9dE/Kip0kQxOP2sD0sBZuwgnnG
/5CgI/2AM5aMx7q28TNXYskgPWDwVmr0Ij74VapLiC4Bc7YJFxrdgnFJcOEC
pVYCom3icj+c9calGwuyqg0lYe++ugJH8dO4/SvVbPOoJKwtuq1utrfFv+VE
+EM9pcDishz7j43muMsh4PCJNSnYzpg5W8dvjJdujw48iaOA7Op+bpd0Hawi
/8iGiy4Nkz3fvovt3YGjeMU+Myqlgee7+oW4n1vxTe+qIftNVLjK03/Fw1IG
N9qncq+4UeHC1FCM73sK/hq8q4KjhgoJ1n0nfK1EsHJz2gc/dhpcCh2r9Wvm
xShS/Wi5Hg108vULLKfZsd/+F+5b42kg8yn2+nDeT1S/nb6eMkiDC8XLoQIy
84jPVI16jk4Hc5+NEZ99J9Dp6+vqdrvSgfPA315S1xC6Ycl3+1UZHYb0bE8o
j79ECxIilDt/6JBNGXX2uNqGTHkGqVM6DJi02r1n30IDaqZY3bkey4Dv6732
N+tUICvVkfbLQwy44+lX7qlRhFo7klWBwYTOs41X+XSy0I5ofuopVyYc0PEJ
3FSajBp89sSuVDKBg9hrw/noKhJ6/2CPxQoTnkdxyIcNhaNYQ+kbP3RYcLBm
x5Ek+QBEfGfgti6WBSmvA2N3qnqirl+RyjkDLAga6j1V4OSIrilqVCsyCEDA
ctdKvGZxHtVvqLeMALKcUqFRNjNYdvKnRb++IFwfTBfbP/ERbxks1I/vF4ST
wk2mDZQpvN7DeYxLVxSIAT/3X5Dvxr0RlZwZw6LAMWYa1nivDct2qKQuOImB
SKTSS4nRxzjRVl5d+qcYJE0sbZs/XYvdntnK518RB062kvshX8owz39Gz+Mk
iMDmI1On+bcIb1mom7hTToSwQw89d2dlY3LxaKGkHgnsWvbu66y8iZu1q8hL
fSTo87Vbe9uRgEfyXkwxXcgwI7/oNc4diSs+3LSu+kMG3zCnJ9omoVii9aOR
7zUJ8NLJlepO9MW7Q2Znr8lKgsrS6KelBlcsJ5CtIlojCT+erfJuOWyPQz1u
9s0dkIK5UK17LD9LfJy9eSZ0WAq6dM/RblMPYZOpk+wLzhRQem4c9GNBF1el
6vnUrFHgRMX2ojd0hIdkxxLfx0qDSFu6pc56Nay7eUUkTZgKObwGqgV/5PDf
rfZVfsepwKcxPNonQMM3snOL192hgpvLPh/XUjHs/OeiSf08FRSOrAZo3N6I
Vz79VT6kQYNGo3jeqrZ1OI1bM+5wMA0Kt+2i2lr+Rj4b+NMi2mjA+/H2hpjt
X5Gif+PaSQE66JctSmx7PYUkuwkCXkfp0CF6JHRz6VvU9ei3uVUWHWh3NNoy
W16j2P4sevk0HcIScyq7tJ+hiDfTtzRVGYAxQZMs/Rgd1eF1dg1kgGZRI4kz
swr5hbsuVrcxIChqpb5etRj5KBW+LhdkguYv0u5bxBx0aG/TBhtLJuhNcOZX
Gd1Ejjp+X7RymTBSmr/9kF88wsNPN8zNMqEh8gpL6utFRE97nS+owoKSwVeb
T8gHI7w3dNE2iAW/GiU1zvF4o8715R1LLSzgnyK3aIo7I85VX6FLzgQQ8mHO
3PwxgwNStgmQ/hKAN8esd/7uNG759GLr1RIxuMhxrEZwogEnyuvfydstDqyl
86snLKowXduvhfpKHK7X5ohvEyzFVNkptHSKCFuEQ5dueOZhLfvu+tw1IqyZ
ajyymEjH/S9m7m68SoKSlP/k5IOv43EenR/dNDK4Pas3z5G/ikslTD9/e0CG
W3tUSjQmw/Hntaxd7voScIcq8tvncgDereGS2D4mAWZed49HxXpiqdsOFkNu
knDEeDP1TPEp7NSbcW4vpxQI3CZTynRPYO8PsbqC16VgcrSr7fzoYYyeqTTu
olHgyL5xy/cy+3HyEYvSlEoKlLhK/b1+eTe+X6NywGSvNHj51Ffeu6eFtT7v
3+s4LA3qA4pr41Jb8OeHHpkK26hgKZu5Q+8PE5+//tosNPQfDwQWpL//KoH3
WfbXsj+nAg67RCvZI4S/R5b7qArTQMn7ehqbEg8OZbpEiFr+y8saBQMDDTZs
kmh/kD+HBgINlyc/bf+OOF01vKpnadB7QnJCSP4z+rK5UPuqOh1edI9c1jEf
RzVWPxyFQ+hQue+44h3VAWT3XWrcoIUO/O9q4is29yAT20ukFH4GZJZzP7Sk
tiL6to68a2YMgDIaXl6sQ/K/7r5vyGJA+kmv98ayZQh/MEw3/8KArSrPKOcu
5yMxh4ikTjUmOKWb8z3TykCs7mMabueZYFT1rO+32TUkekdAuamNCRSZ3Nsl
Q9FoYiotuHkjC9RDVSTbflxAv3+fjhw2ZwHTzUyh9pwfWggQnsnNYIHrtq/j
1mLuqOeT9fVDn1nQYfvSOGDdSeSv5WiTLEiACaFCuYnYWfw1TPfFkwwCLF+X
maqOmsHcxwwe82gKws616McdYtM4MWBEXLJVEB4t0855WE1hfacTb9lVRcEw
Wf/pLYkeXJCw2X+0QxSe669EtAe341C2GN8oczF4GTZs5h7RjE3m6Za7JsRg
xZL6fvpSHW5yHXnCE/BPz2bp5kcry3HzOqeSszxEWAnYrzGjfQ+7CVcrTWUS
QWZvF34TnoM/TVg5Z6qToDCY+6bz+1v4d/crxmozCTL4/irtLk3E+QauDp6W
ZNj7orgmQikKT4282RQ5TYYpesb6dOUL+NU0d0jmBQnI/UASq6o8i2OqrsSt
E5cEYujmtHwFNzx0e5y64Y4kMJZCRJtsTuIW4WPbNu2UgtL8W+NKT45iZrdD
heAzKaBYJ59JXjmEQ3kLRLnN/+VlnvN8noo+9u/lWxP8QgFWUIfyl2KM19Xs
cWwKlAYf8xcBe1jqWJJXWkWLlwokUnFVhpMClibpxVYepoKOokrdyXka/qxm
IR+RSgXaKLf72qI45r7xO2p0igomr+++2ykjgEekJsmZm2lQeW91rLeDE9//
8Iky5U0D33Nufte6/6CehfCp6gYaeLOR6xMp31A9L9fcEBcdwlVGYpMlptF3
F/GHUYfoUF/Y8NoTjaHZec/KjBt0ODWW2pbU3otGyqeZ28focPn5IZ9dD58j
ycYFcxt5BtyKGZvXWteMNr15/+yNJwPOtHBs8fpYjS7ereA52MAApcZ68wuv
SlCnTVnOFx4m9LCZCSiL5qIR+s2QEWMm1MS1iATV3kLbFQWlzFOZUJ7EZzpl
moDMLF5+1hpnQj3lnQRL8DJybSlWzpBlQc5e6xeFz0LQKz8JjQRvFmjvxJcv
cvmgZ/ztyVJ1LLjnYqteE3MaTfPk1c2bE4CponzvhPgsbv3Fw8HzmQD10wOL
4cPTWIohw7fpthikPn0yYsvdhE1qoKNFWRwGin6nOBtXY98PX4+HNf3LT/mq
zriGUjxEZaMPHyaCJp/0Zr7wfHz20jPuyU9EkAoJezW7JRPnc51ySQgkwYFD
+q1hAcmYnGLzd4CfDAaJZ7qNCmJxYMPX0ziTDLK9E01zwxGYsjzGpa0uAUWn
+dUffw3Ey5bRjxc7JcBRQ2IyMcgLO/Zxr+oflwRP++BhwrATJtq/O7XtqySs
S6M0uQbb4KpLh4r0w6Vg1X5zgNX8kX966I/qEqDApsaBYcPEA7j1XGpLcTYF
ooTEFD5f2YM9vv7sv6sqDV075DKyF7Zhm8AHxL3t0iC68WSkKedW3Jyc9KhN
mQpZpsQMQ/omnBFUrdTgR4X241w7TWykcPqnKM2wx//6/cr9GlN9YZzIkr13
hJcGMy13BD64b8AnzA66nzxIg2jTjOdzG9jxSXfiu4ybNGhPuN8X6fQD2Zje
q599T4N9usLWC+lfUFDT3JZ1inS4Wr//sfKJDyhheYWg4EsHHbZj89b+gyhY
5jqOraODYrDjk0COlygLvZCgcDHAsviJ+lmjp6iW+tL+0YF/e6nfecTD6RH6
cSV8j/wNBjAeTG2UVC5HB/67Vj7/gQEyFhFBpX0FyC3lqj23IhPCCSy3D6cz
Uek99buzvkx49eVngVXgdTQbU2g92vBvTx1spXvsjkF/7PNtNnKxwKte4e+N
8TCkw9hLcDZiwalL5XHd7f4oorhEoTeZBSdUTY0HLD1Q9zdvu4BxFtTU2q2e
2uyAXk4YtMv+YIECU7vi04wdOo3W1J7zEKC7WZb9ZtosFlMr0d2RTAANBvav
uz2DfcW9vtOUBOHPqoJckPI03vPc969tvSCcO9DVtO/cFHY+eXTkvJwoDF99
r9R5ogcL3ZjZutYkCo+4ZbyVp9uxYlrNeJ+RGAgJBMYeHmzGKhrSLp1DYqDh
o7l6mViPZx/djN/mKQ4ltXx6nyQqsDTbd+nZNXHwFYi5sXP6Hua/U2F6KYUI
hlE8vB3LObg3lGwwrkiCjYlrmV8DU7GYuG3BhYck+HazZ+GKTBLmS63LTTlI
hrLlRop9WxQOHfzB+3WUDJ9mt2qGZl/AxQHJohr+EtCya6Nu2X4/XGoy8n47
vyQoD219kDjthlUmOYjhqZLgt/uxruXnk9jRYdcnbVUpIIWJJji4W2GeqmrS
0cdS8POmmXyWmwm+kdYhnXCAAtU5p0T/DOrjAY/5ZjRBAYfGhw5+uwDf+Pu9
W9lLGuZvrnZsqlXHkf6lcImLCsnVbr1hmxTxfb5tAYcPUoH8H8+0kz0di609
cGpJpoJ/aZCeTxoRH56quOM+TgWG81PegUUB3FllHq8nR4PPW7kknhpzYS2T
p1NK7jSQ9U41s01cQSETDVcO1f7T/xbB9B/XviHO3vxJUXY6EDcMOKQ/nUZ2
teRY0QN0cCiv21bE/Q4tR26e0L5GB4nGU/bhxn0ogs6XFzxEB+usb5oNQZ1o
usynaonFAN4AtY4H55pRTOaLwI1nGHDo8Sj/hsQaFNNoIZz2kAElwVr8HkX3
0fKvqivRnExYHmA/ZnojF2UncD0kGzLBRTJa87tfKmJSR9Wmkv/xaOFpo8Cn
Ceh9spn16FsmBC6Mvs3Lu4wSB24tTjJY8HjtaptbznkkKej8RtadBd2fvvjP
RfqgfYkmq1urWDC+mh8QZeyChvhRPNOYACnfxgaNZWbxbJFH4PlxArSaX/5S
+m0aP2swPed1TQxGG8nBaiZNWOXvzmHTTeKQPiRWo9NVjdPV7suXV4tDzpQ8
IU38AdaUuppkZEgE43UfsumEAixKbFe4OE4Ei6JTfF5JmTg+i2X42osEgQQN
X+3VZKwxOhd+nIsMAXaHjTa4xeF3AtpFDilk2NBQcCPO6iKuXlqbKVSQgB99
wbXDxUH49SeSZdQTCdgY8OWV7LIXvuJpbhx6WBL2qH5MPernjD2K2E6Uf5QE
l1kipWvOBlsMqBw7GSAFsCCycyrIDM+GyM6LradA9utHSupGRnjkv0ddWjcp
IL3J/cZRYR388upQ6oD8P/4cufK18cZ2vNRsH1bRIA25yh18B4K2YiUuVqeo
AhUGKR8MOus2YWWPQvJxbyoYTvsVhFAouL3ig29zPRWiz9QG8PQI43fe421T
XDR44vIncYM4Lzaab574bz8NGB+HfzX7seO5t9/yp6/R4O0XPfarXD8Rv95H
24i3NBDTr2ZF2syhlqgEWSRDB477mZ/zpj+gNV22qSoPOnj4/9Lnpw2h6KaD
bluq6aDH/0hr3uMl0i9eSLNlY4A2aXaw/dNTdEnkSPMhAwZseR2d916uAR07
4r50IokBNXkVrdw15eiwtFbDjjEGyFtxNd0PL0S3tiQa5sgw4XewFzu5PxOd
lcielPVkwsHfhnZ3hJNRb+jZs2dqmZCo23L24GoMupSt+KqMjQUOJoELbMfD
kbOmSu99AxZYrXtpauh3DnXprnS6JLLgzs+UPfKtHsjo7Fp77FsW1HOIiXa1
O6CDTr1Ku76yYKze/FWlj/0/nm60FfnDgq2WpOS/dnbIXntfhgMnAYoe27od
zZnFhXx26/wSCEC2Nei4kT+DFX0vxZXICcKOE6L7y3ZM4zTv3YucNYLQydHy
TjxyCgeMvxluYIoC2TD+ICusB+untvHH1otCBL33wrBUB+aYNSIF7ROD4qHP
xRqcT3C2pdSScL8YOH9k1e22q8chjss/XrqKA+OoxPyocQU2CqkbYPwWB09D
5/dFO4vx6BlVx/5EIpDnbt3dopaL27t+aYXLkmDRdeTs6WepOHd7weyTChLE
terjXSeTcOMe+xb5/WTIu3A9Vko0GneacwezhsggXdr4hOvtBXxrj/X7UG8J
oLpph6Td9MPNmZxX+jdIwszNjp/V+u54lCdJuClZ8l/f+RpEqDpgDX6llm4l
KSA8o98mtlnhgEKb/Wv1UmCk1GzyoMAE5zoM5fbrU6BidMf4QWUDzNNow+ob
o4DZXbbYYk/AdozuiFNnpMFNaFlHilsDNyj/0tu8jgpRCvjPscuK2I9bZYFh
RIXqR6miYel0XDQ+evnkNSqIM2N+n/pGxEEbE1W13v3zw3lt7o1KBKyzTtBQ
QoYGxFPs+9iuceHgqPJ9r11pYBWToNnyfQUdsT5mTamhQdD7u2v6L7+hAq1z
tuVrNOgTsauckppBN2zT/If30SGXQHa02/EOhRy58kcokQ67Oyliu6/1oYHB
247SA3Rgz771KfRdJ+q6VzXZwGCAXkMTt2BVM8IX9xwuOM2Ax2aUWvJMDYrv
KCLurmbAahD8OsBXimJ1H/614GDCkzP/qbOGcxFnx47+h/pMmBoT2Zg/kIrI
t1qaiq8xoale8e47tkS0SYMk/mCYCZfv7o19+e0yyrVLOBJFY4GRSLcb14ZQ
9PitQMGSKwuSjQz/TDz3Qby9KVvqy1nQYNB/e325C3otGP27YR8Bbj+oLFdQ
nsXB4UyturcE+EA44kRdm8aZfLP3ifFiQBF+pBrp34Sz6TtOptLEYZp3sDaa
vwarvt2YYFguDnkvA1/X6zzAjqmm+yN1idDTpHHvmXkBnnini/reEiG7x1Ii
ojUTR8xz7vBxI4G7pKzSXZyCW9g1nmawkaG2aYX37qs4nFQz3bGcSIajhdf5
/dMuYk5v/mOjmyRg+9mtWWUbg3FTxXtmb4MExI0NnaJqeuP0xvPLEgclwSb7
2vepp85Ysiv+6MK4JMTYMbhuy9piuQsM9W++UrDd+Bh9pcUMH/N6SavjoICc
gsLCeLERnu59YRpyjQIXi09vOGOhgzlGDNfcNkmDRbxqkt3cdtwwtVPz80Np
8Jc73xj+cCs+WX/mdb0sFS6yYjSIvDL4p3N2vKInFVw9Syasz1PwsZuE63a1
VPhdHnxAV1QE86Q2Hrm/jgZyX+1/qrvy4qc7gjLGDGjwKCJ4uuI+O1YRffff
1UQayI+SmIVHfqLJpgi1Q8M0MI81+qDwZA45zdnlDjPpwBm3A7qUJpDa3IWe
IDc6uBwVauL2G0KCV0suslfSYZakm6xW+BKlnQw7vm6NDjbFujTCzjbkyp/y
VUKPAT3iBt99YhqQwPbJzt/xDMjNs2uaXi1HFnLRT96PMOAn/aPp2ZFCtCX4
WqMniwl1FnnFtXxZaMBkgKPdjQlbpJ/JHbdNRh2/j3Go1zAhdtX779VjV1Gn
9nz0xTUmrKP+Zh1PDUdBj2U1TPX+6StPqMq05xzyFs65rRnPguEqERj644H4
a/asEIdZ0C/+9IE80RERikh2bXMsuLyT9jO5zh4J5XBeT1/+xwfySjl/7tih
ROkApehVFqxK5lGXqHbo3W6PXhUOAgSlGHyvyJvF35br3ovEESBvxd4u5N4M
5smNH/GREYQAOcPUFu1p3N4me6a/UhDi2Iwcz8ZN4bCsZCtruih4CulP2Sb1
4PE0jdUjtaLwIGD1XrdWB54j3FIz1hcDL27HsiekJ/ioS1pN9et/e+3VRS2r
y/W4vVZGPv20OPRivZF1pyuwwyNKZdNPcZDuuj2reqoY677ycg+JJ0KgfmwH
1SQXN/vOlJpuIsFECnl66Wsqdu18/p9DGQmS2Ir7BsOSMJGoeXjJgAwirudT
jHZG429i/FWNb8gQZk29Ffv7AhaU3a23yVMC1l90/3imyQ93tt04kbteEki/
eP5onnPHFWSrBOtrkvBaIL7Uy9wBp9vllSYrSkGfmWyI5aIVVmVUOvTUSsFh
dvH1q60mWP6Z3alzuhSI+/jIwumoAaY63jTLfEsBwWjdJe4YwHqVO06sc5EG
2tmduwIVNbDFldvP2Tio0KJsR9StUcRW4Up3/ztAhWv1yz5H6ul46bBviloS
FQiqj5pfSpEwISs0QHKMClvfFLId1yfg0MIzslybaPBg4dCCWxUXprKKgu64
/OMJnYzWHzKrCCTutnFW0yBHYeBo3fw39HvWVjps9Z9f7lu1rhrMIFX1t2ca
DOhQ3fXm0N8j71Dzju2X/8TTwa8w2Gqpqg+FVU7pLvTTgbtfdGpC6AV6XGi+
mkNnwLGe027Rvc3ohl9Ik68zA6Dk9KKY6EOU2GUqIVrFAKvQoCyqbCkacK3d
BuxM2FV/aufYSi6qmug/GaXHBAPyr33nN6QhkTfVlxKSmPB4hUS1oiSijosB
3reGmKASNFq8mxSJSvJjuK2oLIhl3exYYoYiER37+CEXFty7MrPw4IsPmvXZ
vu9CGQvq0J+9RpMu6KBwqXKMPgFq3HIyhFRn8VP3EDHLYQLYL55061o3g6+o
qj//dFUMstyePum80oSPqtXKYmlx2M6/ojqhVINDtu5qEX8gDmmDafI+Vg9w
8FCVLEuHCI6sxRtTgQV4/95LesHDRFj+oG/8eDQThyQvlem4kuB3Rqg1wzYF
X0my/AhrJPDhVNtZzRGPP8fUWzbHk2EjqU5e9dFFLK8idt2fKQF2CzziQigY
a95sjT5X/6/vuz87T5t54/wp4RczByRhv+4mTZ55Z/xtzGIg9p0kSFzPF3+x
1xYn9qXSHnpLwbmRFsdjM2ZY9DNrx1U2CvTWdmbJjRpht21mYrRECqzcEnMw
CtTB5PAI5e1MabDcn2x2i7QD5/oXCkZWS0OBdUuP28BWvCYuZB4vQ4Xy6H2p
2Vtl8PBUuqGIBxUqkho27yml4Lz/8nNVHlJB8fz9AKwlgtOUStKSOGgwfkXn
u2oKL+YYHwjq0KfBAMfzZwvP2XFvaf+uEwk0uM/LbS4d8hP1BL++rTlEgyjt
Ot/vS3OoNtPQrohBh8mrMkbIZAJ1P25uPXGGDm8SxB+5Zg+hw97HBWfL6fC1
kEcutfUl0oXnu3pX6NCTYTSddrIN2fyntYFdlwE0iVWyZkMDclKkbmuPY0Bm
2aPjGrQKdFRJ9WnFMAMEXc7KHNhQhAJyrv+yYDKh7Zef6QHZLBTt5p2QcoYJ
OR9CHTIik1GL5sF2YjUTKnQ39WXFXEXuCQc/uq0ywbTmu0N/bTi6yM38yNRl
wan9Dkf3r55DT8/9uCgVx4Is6ffLPuKeaM5iSnR0kAXbk+Rl94IjWthXHxjz
hQW6WhF0pzF79G1Pfon9TxaUL35f7G2zQ15NkvrGKyzgGatcG9a2Q2Uhb0Ra
1/7l74hBvB6bHfofbUKTUg==
"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwl1mOQnmcAhtHd2LbNxnZj221s23Ybm21sO2ls22Yb2056tv1x9n2ue57v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"], VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 11}, {0., 0.8332573817712089}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0Fd4TR0i+4tnfszxvzRplb7t3lCwpirKkZImI7LJLqJCsRUX2bEWy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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{4.000000000000009, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{4, 11}, {0., 0.8332573817712089}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{{3.9919642877358036`*^9, 3.9919643155562134`*^9},
3.9919652220078144`*^9},
CellLabel->"Out[30]=",ExpressionUUID->"cd317bc8-762f-b249-ba4b-f05e39e52441"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{"l11", ",", "l22"}], "]"}]], "Input",
CellLabel->"In[31]:=",ExpressionUUID->"7f7adb48-d16c-ff46-92de-216bf33e0dd7"],
Cell[BoxData[
GraphicsBox[{
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwVVnc4F84fV8ge2ePDZ4skEg3q7k0ys6mIkoTMMqKUVHZRSkjZRJnZW1Yk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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ]}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVVnc4F84fV8ge2ePDZ4skEg3q7k0ys6mIkoTMMqKUVHZRSkjZRJnZW1Yk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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 11}, {0., 0.9709610360313319}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 11}, {0., 0.9709610360313319}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVVnc4F84fV8ge2ePDZ4skEg3q7k0ys6mIkoTMMqKUVHZRSkjZRJnZW1Yk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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{3, 11}, {0., 0.9709610360313319}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {3.0000000000000067`, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
InterpretationBox[{
TagBox[{GraphicsComplexBox[CompressedData["
1:eJwVl/cjFW4bxhGSrzj2OQfHmZlRdut5biUjRVFGSkZEZIushArJLCqys4pk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"], {{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwl1mOQnmcAhtHd2LbNxnZj221s23Ybm21sO2ls22Yb2056tv1x9n2ue57v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"],
VertexColors->Automatic]},
Annotation[#, "Charting`Private`Tag#1"]& ]},
VertexColors->CompressedData["
1:eJztyrsJgFAURMHrJzCwCVvRwMTIEgyEB8IDtX/UQLAAw0kWDjvdkue1LSOO
OiKmdJxrEd+qnmrumcd+yFve0/OneAfHcRzHcRzHcRzHcRzHcRzHcRzHcRzH
cRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzHcRzH
cRzH8Z/4BZdCRh0=
"]], {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {
GraphicsComplex[CompressedData["
1:eJwVl/cjFW4bxhGSrzj2OQfHmZlRdut5biUjRVFGSkZEZIushArJLCqys4pk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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwl1mOQnmcAhtHd2LbNxnZj221s23Ybm21sO2ls22Yb2056tv1x9n2ue57v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"], VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 11}, {0., 0.8332573817712089}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0Fd4TR0i+4tnfszxvzRplb7t3lCwpirKkZImI7LJLqJCsRUX2bEWy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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 11}, {0., 0.8332573817712089}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0Fd4TR0i+4tnfszxvzRplb7t3lCwpirKkZImI7LJLqJCsRUX2bEWy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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{
GraphicsComplex[CompressedData["
1:eJwVl/cjFW4bxhGSrzj2OQfHmZlRdut5biUjRVFGSkZEZIushArJLCqys4pk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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwl1mOQnmcAhtHd2LbNxnZj221s23Ybm21sO2ls22Yb2056tv1x9n2ue57v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"], VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{4, 11}, {0., 0.8332573817712089}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {4.000000000000009, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3k0Fd4TR0i+4tnfszxvzRplb7t3lCwpirKkZImI7LJLqJCsRUX2bEWy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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]]},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{3.0000000000000067`, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{3, 11}, {0., 0.9709610360313319}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{3.9919643184825573`*^9, 3.991965223761923*^9},
CellLabel->"Out[31]=",ExpressionUUID->"9e14947f-42bc-8641-8034-f5e698425a9d"]
}, Open ]],
Cell[BoxData[
RowBox[{"Clear", "[",
RowBox[{"b0", ",", "y", ",", "bb0", ",", "yy", ",", "r"}], "]"}]], "Input",
CellChangeTimes->{3.9918427409143257`*^9},
CellLabel->"In[32]:=",ExpressionUUID->"1a4d7ad0-fdd7-c149-91c3-f4bf148c2ba8"],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"l111", "=",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"{",
FractionBox[
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R2", ",", "a2", ",", "x2", ",", "r", ",", "b2"}],
"]"}], "p0"], "}"}], "/.",
RowBox[{"R2", "\[Rule]", "R02"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a2", "\[Rule]", "0.57"}]}], "/.",
RowBox[{"x2", "\[Rule]", "0"}]}], "/.",
RowBox[{"b2", "\[Rule]", "b2"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "8", ",", "13"}], "}"}]}], "]"}]}]], "Input",
CellLabel->"In[33]:=",ExpressionUUID->"5f40daf9-1e74-0640-ab31-9384896fd730"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwV0Xk41fkXB3BlTU2lRirJvZfvVira0+UcJZQQstwsWWKkIlfZ40bZs0Ro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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ]}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwV0Xk41fkXB3BlTU2lRirJvZfvVira0+UcJZQQstwsWWKkIlfZ40bZs0Ro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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.7724483356680106}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.7724483356680106}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwV0Xk41fkXB3BlTU2lRirJvZfvVira0+UcJZQQstwsWWKkIlfZ40bZs0Ro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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.7724483356680106}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{8.000000000000018, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{8, 13}, {0., 0.7724483356680106}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{3.9919643389546776`*^9, 3.9919652326803303`*^9},
CellLabel->"Out[33]=",ExpressionUUID->"ab4a8ae4-7b26-1044-b8e9-90a3af291166"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"FindRoot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "y"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R2", ",", "a2", ",", "x2", ",", "r", ",",
"b2"}], "]"}], "-",
RowBox[{"ppp", "[",
RowBox[{"p0", ",", "R2", ",", "x2", ",", "r", ",", "b2"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "8.5", ",", "12", ",", "0.1"}], "}"}]}],
"]"}], "\[Equal]", "0"}], ",",
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "b0"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R2", ",", "a2", ",", "x2", ",", "r", ",",
"b2"}], "]"}], "-",
RowBox[{"ppp", "[",
RowBox[{"p0", ",", "R2", ",", "x2", ",", "r", ",", "b2"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "8.5", ",", "12", ",", "0.1"}], "}"}]}],
"]"}], "\[Equal]", "0"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"y", ",", "1.1"}], "}"}], ",",
RowBox[{"{",
RowBox[{"b0", ",", "0.8"}], "}"}]}], "]"}], "/.",
RowBox[{"R2", "\[Rule]", "R02"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a2", "\[Rule]", "a2"}]}], "/.",
RowBox[{"x2", "\[Rule]", "0"}]}], "/.",
RowBox[{"b2", "\[Rule]", "b2"}]}]], "Input",
CellLabel->"In[34]:=",ExpressionUUID->"90f0001a-9463-4d4f-9baf-b5d8df3a0ca0"],
Cell[BoxData[
TemplateBox[{
"FindRoot", "nlnum",
"\"The function value \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\",\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}]}], \
\\\"}\\\"}]\\) is not a list of numbers with dimensions \
\\!\\(\\*RowBox[{\\\"{\\\", \\\"2\\\", \\\"}\\\"}]\\) at \
\\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"y\\\", \\\",\\\", \\\"b0\\\"}], \\\"}\
\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"1.1`\\\", \\\",\\\", \
\\\"0.8`\\\"}], \\\"}\\\"}]\\).\"", 2, 34, 3, 24487566792016397019, "Local"},
"MessageTemplate"]], "Message", "MSG",
CellChangeTimes->{3.99196434662237*^9, 3.991965267764641*^9},
CellLabel->
"During evaluation of \
In[34]:=",ExpressionUUID->"d45217bd-3db0-d84b-b93e-b4da41993a99"],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"y", "\[Rule]", "1.2126471180583713`"}], ",",
RowBox[{"b0", "\[Rule]", "0.7404404359662677`"}]}], "}"}]], "Output",
CellChangeTimes->{3.9919643466702614`*^9, 3.9919652678273296`*^9},
CellLabel->"Out[34]=",ExpressionUUID->"0c3ee823-26f7-754d-aaf4-945766964406"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"y", "=", "1.21"}]], "Input",
CellChangeTimes->{{3.9919643517017803`*^9, 3.9919643518904247`*^9}, {
3.991965271719015*^9, 3.991965272747534*^9}},
CellLabel->"In[36]:=",ExpressionUUID->"dbdfb703-96b0-7646-a6d8-1714cb27d7e0"],
Cell[BoxData["1.21`"], "Output",
CellChangeTimes->{3.991964352345875*^9, 3.9919652787755985`*^9},
CellLabel->"Out[36]=",ExpressionUUID->"0033eac9-b93a-5840-8e79-2fdb31b1f0d6"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"b0", "=", "0.74"}]], "Input",
CellChangeTimes->{{3.991964356946327*^9, 3.991964357098551*^9}, {
3.9919652753355255`*^9, 3.991965275476549*^9}},
CellLabel->"In[35]:=",ExpressionUUID->"b1797ad3-1841-6d4a-802c-01a83775cf12"],
Cell[BoxData["0.74`"], "Output",
CellChangeTimes->{3.9919643574642944`*^9, 3.9919652764203777`*^9},
CellLabel->"Out[35]=",ExpressionUUID->"2c6f3eab-7b12-5342-ba0c-9ee44e09e8e4"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"l222", "=",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"{",
RowBox[{
FractionBox["1", "p0"],
RowBox[{"(",
RowBox[{
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R2"}], "b0"]]}]], "+",
RowBox[{"y", "*",
RowBox[{"(",
RowBox[{
RowBox[{"R2", "*",
RowBox[{
SubscriptBox["\[PartialD]", "R2"], " ",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R2"}], "b0"]]}]]}], "*", "b2", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x2", ",", "\[Phi]"}], "]"}]}],
"+",
RowBox[{
FractionBox[
RowBox[{"R2", "*", "R2"}], "2"], "*",
RowBox[{
SubscriptBox["\[PartialD]", "R2"], " ",
RowBox[{
SubscriptBox["\[PartialD]", "R2"], " ",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R2"}], "b0"]]}]]}]}], "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"b2", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x2", ",", "\[Phi]"}],
"]"}]}], ")"}], "2"]}]}], ")"}]}]}], ")"}]}], "}"}], "/.",
RowBox[{"R2", "\[Rule]", "R02"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a2", "\[Rule]", "a2"}]}], "/.",
RowBox[{"x2", "\[Rule]", "0"}]}], "/.",
RowBox[{"b2", "\[Rule]", "b2"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "8", ",", "13"}], "}"}], ",",
RowBox[{"ColorFunction", "->",
RowBox[{"Function", "[",
RowBox[{"{", "Red", "}"}], "]"}]}]}], "]"}]}],
"\[IndentingNewLine]"}]], "Input",
CellChangeTimes->{3.9917169014568214`*^9},
CellLabel->"In[37]:=",ExpressionUUID->"44ce8c70-9506-d44d-96f8-61e476c7c15f"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{GraphicsComplexBox[CompressedData["
1:eJwVlGs01AkYxkUJWdSKVJj7zN85tgvVSrxvbBIyYtuN/uNWzrqUtrEq69KQ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"], {{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.],
LineBox[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,
29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44,
45, 46, 47, 48, 49, 72, 66, 61, 57, 54, 52, 73, 67, 62, 58, 55, 74,
68, 63, 59, 75, 69, 64, 76, 70, 77, 50},
VertexColors->Automatic]},
Annotation[#, "Charting`Private`Tag#1"]& ]},
VertexColors->CompressedData["
1:eJxTTMoPSvNlYGAoZgESPpnFJWmMKDxmEI8DSAS5Oznn5+QXZYLkMxlgxKjy
UeWjykeVjyofVT6qfFT5qPJR5aPKR5WPKh++ygHj00IN
"]], {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {
GraphicsComplex[CompressedData["
1:eJwVlGs01AkYxkUJWdSKVJj7zN85tgvVSrxvbBIyYtuN/uNWzrqUtrEq69KQ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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26,
27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42,
43, 44, 45, 46, 47, 48, 49, 72, 66, 61, 57, 54, 52, 73, 67,
62, 58, 55, 74, 68, 63, 59, 75, 69, 64, 76, 70, 77, 50},
VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.9983911300932561}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVj3s0lAkchkUJWdSKVJj7zOcc24VqJX6/2CRkxLYbfeNWzrqUtrEq69KQ
SiYRitTqVJiURJSMSI0MuRwUEVn3sVrGtSahtX885z3Pf+9D9T3m6qespKS0
d5H/l3ruiIqSEgWvVQinmyfloOojVq5d9A8xs6mTMjn8a6mmnLyEglW2CkPd
D3J4OnFHiaFCwerEX6bdpXJw4XXO71aloGXgivnx63KIMndQJGpScEdYcq3z
Ljl09rFHjQ0oGE2/yepMH4Mr0N8Gmyno9Nfr9HLbUahgBReV+lOwt0ZuLQsd
gdkLjYfTrlPQwSXjaqNCBiZcA1FoAwX9j1o7kXmDoG1zajJBhYopWRtyv7j3
w/LCvFUaW6nY/vxurq5HLxTvnbGsPELFfZPbJLHPumG/E+fTidtUNEmLjj9p
3gnq0o1nL7+l4p2Lg8HaFu3AP7bXcEiDhvFJ3OICbiuMpUB8phUN84QG2jY9
LeC5dn3cr8domJFzwmWqrAnONGomOmTTMGkl6+0htwYoW2gJvPWOhkIyWZo6
UAt3yQfczVp03OElC6Fdq4a49fxXEls6+oQz2vmVEog4oKlTGkpHsXrk+z3+
L4D5Unxo+D4d9Z3nzX/eXwG9IuuL4d10tDlPPz0sEoNrWVu5/WoGDtOkUYWc
Eniy0V2g58hArp7no2CiGExphfr2kQy8sTAtzHhcCO47DZ8WFTGwc7jj5LOX
+ZDe5Wl6ZoiB4V3dhqYz96CuI97MbQ0TL3z7+KNBvgiKltbZ8JyZWOC09B3/
chbk3+9h1QmYGM11+li9/DZ4CjR0Q0qYqCj+7GtkcxOUS4yS140ycdmS7x+6
EdehNEBtkG3MwlHjE1JhSxowHVR3Bu9n4SfR1YUduamQldNxfE0cC2ODHpOR
esmg75dmJill4R79WU9aZSLAvoAFkZyFVqE1tlGXhPBnqU7mOJWNv0UkbM9k
xEEgt94u5AAbuw6fX5COxMJRH16Vu5CNiQ1prS6OMXCotb0Fy9lY9Pr41B0N
AWid9B/xmWJjzaWGTWPN4VCf2tA2xOTgR4tod2+PUwA9dvXZJAf13OqKm3RD
ISfhnqtfMgcdNPtOjTvygVLS/yCuioPjseirpPY7cLU2rRqa5aDFpSe7B6RB
cLnXzVFkSmBuD1Xjq5M/SPV8Vgd4EejbZpc5xvWDR2Exw4evEJjP7+7uDPeF
ggNhSVVSAq2fxi5bs8EbtrwgorJrCFzLb7ohYHqDmHgfdK6WQJXu6L6xdd4g
md2+276OwK8F2UFdat7QdmNuvq6RQJ36zB8+vfKCuZ7TQW9aCbRiGXWe3+gF
9gHn7Pr6CdR/YZbQ8Z0nNDRvNZcMEBiT7JahPscD1+0yatYggZUht8x/GuHB
wRX2834yAi2x+XN7NQ+CH6gX/zNC4KuvKRoCAQ9SJy5SJyYIbIqyWKiYIcHA
w0q7ZXLxT+u0InWAhMyXo3OPpggcv59nFPqGBFGKc/sfMwQ6x6q8cSskQbxF
J1GhIHCVfcG2+KMkWGdWRnR8ITDtS3pfAUmCRPV4oHh2sT+yPK7XkYT6d827
IuYIvBa0/qG3CQn7MMaMN0+gX3US/aEBCW13N1OtFwgsaywOX65OgsfKfi3j
bwTeMskvDFAchL/DUua+LXrOdPbzVtlB+A+lOEGi
"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.9983911300932561}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVj3s0lAkchkUJWdSKVJj7zOcc24VqJX6/2CRkxLYbfeNWzrqUtrEq69KQ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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{
GraphicsComplex[CompressedData["
1:eJwVlGs01AkYxkUJWdSKVJj7zN85tgvVSrxvbBIyYtuN/uNWzrqUtrEq69KQ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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,
29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45,
46, 47, 48, 49, 72, 66, 61, 57, 54, 52, 73, 67, 62, 58, 55, 74,
68, 63, 59, 75, 69, 64, 76, 70, 77, 50}, VertexColors ->
Automatic]}, "Charting`Private`Tag#1"]}}, VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.9983911300932561}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVj3s0lAkchkUJWdSKVJj7zOcc24VqJX6/2CRkxLYbfeNWzrqUtrEq69KQ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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{8.000000000000018, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{8, 13}, {0., 0.9983911300932561}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{3.991964359553013*^9, 3.9919653448206234`*^9},
CellLabel->"Out[37]=",ExpressionUUID->"2997bdd0-9785-af49-ae97-9f40d7c169a6"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{"l111", ",", "l222"}], "]"}]], "Input",
CellLabel->"In[38]:=",ExpressionUUID->"299aaf37-7ffd-574a-9050-d17f2288bbc9"],
Cell[BoxData[
GraphicsBox[{
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwV0Xk41fkXB3BlTU2lRirJvZfvVira0+UcJZQQstwsWWKkIlfZ40bZs0Ro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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ]}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwV0Xk41fkXB3BlTU2lRirJvZfvVira0+UcJZQQstwsWWKkIlfZ40bZs0Ro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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.7724483356680106}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.7724483356680106}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwV0Xk41fkXB3BlTU2lRirJvZfvVira0+UcJZQQstwsWWKkIlfZ40bZs0Ro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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.7724483356680106}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
InterpretationBox[{
TagBox[{GraphicsComplexBox[CompressedData["
1:eJwVlGs01AkYxkUJWdSKVJj7zN85tgvVSrxvbBIyYtuN/uNWzrqUtrEq69KQ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"], {{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.],
LineBox[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,
44, 45, 46, 47, 48, 49, 72, 66, 61, 57, 54, 52, 73, 67, 62, 58,
55, 74, 68, 63, 59, 75, 69, 64, 76, 70, 77, 50},
VertexColors->Automatic]},
Annotation[#, "Charting`Private`Tag#1"]& ]},
VertexColors->CompressedData["
1:eJxTTMoPSvNlYGAoZgESPpnFJWmMKDxmEI8DSAS5Oznn5+QXZYLkMxlgxKjy
UeWjykeVjyofVT6qfFT5qPJR5aPKR5WPKh++ygHj00IN
"]], {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {
GraphicsComplex[CompressedData["
1:eJwVlGs01AkYxkUJWdSKVJj7zN85tgvVSrxvbBIyYtuN/uNWzrqUtrEq69KQ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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,
26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40,
41, 42, 43, 44, 45, 46, 47, 48, 49, 72, 66, 61, 57, 54, 52,
73, 67, 62, 58, 55, 74, 68, 63, 59, 75, 69, 64, 76, 70, 77,
50}, VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.9983911300932561}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVj3s0lAkchkUJWdSKVJj7zOcc24VqJX6/2CRkxLYbfeNWzrqUtrEq69KQ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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.9983911300932561}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVj3s0lAkchkUJWdSKVJj7zOcc24VqJX6/2CRkxLYbfeNWzrqUtrEq69KQ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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{
GraphicsComplex[CompressedData["
1:eJwVlGs01AkYxkUJWdSKVJj7zN85tgvVSrxvbBIyYtuN/uNWzrqUtrEq69KQ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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{1, 71, 65, 60, 56, 53, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,
44, 45, 46, 47, 48, 49, 72, 66, 61, 57, 54, 52, 73, 67, 62, 58,
55, 74, 68, 63, 59, 75, 69, 64, 76, 70, 77, 50}, VertexColors ->
Automatic]}, "Charting`Private`Tag#1"]}}, VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{8, 13}, {0., 0.9983911300932561}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {8.000000000000018, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVj3s0lAkchkUJWdSKVJj7zOcc24VqJX6/2CRkxLYbfeNWzrqUtrEq69KQ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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]]},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{8.000000000000018, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{8, 13}, {0., 0.7724483356680106}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{3.99196436252302*^9, 3.991965349109049*^9},
CellLabel->"Out[38]=",ExpressionUUID->"3bdc7a5c-e2ee-584c-ac64-2e70607d048a"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"l1111", "=",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"{",
SuperscriptBox[
RowBox[{"(",
FractionBox[
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R2", ",", "a2", ",", "x2", ",", "r", ",", "b2"}],
"]"}], "p0"], ")"}], "2"], "}"}], "/.",
RowBox[{"R2", "\[Rule]", "R02"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a2", "\[Rule]", "0.57"}]}], "/.",
RowBox[{"x2", "\[Rule]", "0"}]}], "/.",
RowBox[{"b2", "\[Rule]", "0.892"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "6", ",", "13"}], "}"}]}], "]"}]}]], "Input",
CellLabel->"In[39]:=",ExpressionUUID->"f3943b5b-dc03-1343-88ab-8e6b6abbdcf4"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwVV3c41t8bppCQkGSPd78REsI35zyVzIZERiIjZZNEimREqJBVpJQRRbJX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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ]}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3c41t8bppCQkGSPd78REsI35zyVzIZERiIjZZNEimREqJBVpJQRRbJX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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{6, 13}, {0., 0.9838824269554479}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {6.000000000000013, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{6, 13}, {0., 0.9838824269554479}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {6.000000000000013, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3c41t8bppCQkGSPd78REsI35zyVzIZERiIjZZNEimREqJBVpJQRRbJX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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{6, 13}, {0., 0.9838824269554479}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {6.000000000000013, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{6.000000000000013, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{6, 13}, {0., 0.9838824269554479}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{3.991964380582947*^9, 3.9919653530989933`*^9},
CellLabel->"Out[39]=",ExpressionUUID->"06c0f498-eac1-0847-9c8e-eda5d2c44b2b"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"FindRoot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "yy"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
SuperscriptBox[
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R2", ",", "a2", ",", "x2", ",", "r", ",",
"b2"}], "]"}], "2"], "-",
RowBox[{"ppp2", "[",
RowBox[{"p0", ",", "R2", ",", "x2", ",", "r", ",", "b2"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "7", ",", "12", ",", "0.1"}], "}"}]}], "]"}],
"\[Equal]", "0"}], ",",
RowBox[{
RowBox[{"Sum", "[",
RowBox[{
RowBox[{
SubscriptBox["\[PartialD]", "bb0"], " ",
RowBox[{"(",
SuperscriptBox[
RowBox[{"(",
RowBox[{
SuperscriptBox[
RowBox[{"p", "[",
RowBox[{
"p0", ",", "R2", ",", "a2", ",", "x2", ",", "r", ",",
"b2"}], "]"}], "2"], "-",
RowBox[{"ppp2", "[",
RowBox[{"p0", ",", "R2", ",", "x2", ",", "r", ",", "b2"}],
"]"}]}], ")"}], "2"], ")"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "7", ",", "12", ",", "0.1"}], "}"}]}], "]"}],
"\[Equal]", "0"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"yy", ",", "2"}], "}"}], ",",
RowBox[{"{",
RowBox[{"bb0", ",", "1"}], "}"}]}], "]"}], "/.",
RowBox[{"R2", "\[Rule]", "R02"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a2", "\[Rule]", "a2"}]}], "/.", "\[IndentingNewLine]",
RowBox[{"x2", "\[Rule]", "0"}]}], "/.",
RowBox[{"b2", "\[Rule]", "b2"}]}]], "Input",
CellChangeTimes->{{3.991965361745764*^9, 3.991965363244217*^9}},
CellLabel->"In[40]:=",ExpressionUUID->"821ca014-9c3d-214a-9c1a-0b2310271344"],
Cell[BoxData[
TemplateBox[{
"FindRoot", "nlnum",
"\"The function value \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{RowBox[{RowBox[{\
\\\"2.`\\\", \\\" \\\", RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", \
FractionBox[RowBox[{\\\"0.020563025427959906`\\\", \\\" \\\", SuperscriptBox[\
\\\"2.718281828459045`\\\", RowBox[{\\\"1.`\\\", \\\" \\\", \
RowBox[{\\\"Plus\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]], \\\" \\\", \\\"R2\\\"}], \
SuperscriptBox[RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"1.`\\\", \\\"\
\[VeryThinSpace]\\\"}], \\\"+\\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\
\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"]\\\"}]}], \\\")\\\"}], \\\"3\\\"]]}], \\\"-\\\", \
RowBox[{\\\"0.06328318847219941`\\\", \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"0.17340000000000003`\\\", \\\" \\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\
\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\"-\\\", \
RowBox[{\\\"0.05780000000000001`\\\", \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\
\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \
\\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}], \\\" \\\", SuperscriptBox[\\\"R2\\\", \\\"2\\\"]}]}], \
\\\")\\\"}], \\\" \\\", RowBox[{\\\"(\\\", RowBox[{RowBox[{\\\"-\\\", \
FractionBox[\\\"0.028900000000000006`\\\", SuperscriptBox[RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"1.`\\\", \\\"\[VeryThinSpace]\\\"}], \\\"+\\\", \
RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\")\\\"}], \\\"2\\\"]]}], \
\\\"-\\\", RowBox[{\\\"2.`\\\", \\\" \\\", RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"0.020563025427959906`\\\", \\\" \\\", RowBox[{\\\"Power\\\
\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\
\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \
\\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\
\"}], \\\"]\\\"}], \\\" \\\", \\\"R2\\\"}], \\\"+\\\", \
RowBox[{\\\"0.06328318847219941`\\\", \\\" \\\", RowBox[{\\\"Plus\\\", \
\\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\
\"}], \\\"]\\\"}], \\\" \\\", RowBox[{\\\"Power\\\", \\\"[\\\", RowBox[{\\\"\
\[LeftSkeleton]\\\", \\\"2\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}]}], \
\\\")\\\"}]}], \\\"+\\\", FractionBox[RowBox[{\\\"0.028900000000000006`\\\", \
\\\" \\\", SuperscriptBox[RowBox[{\\\"Sinh\\\", \\\"[\\\", \
RowBox[{\\\"Times\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"2\\\", \
\\\"\[RightSkeleton]\\\"}], \\\"]\\\"}], \\\"]\\\"}], \\\"2\\\"]}], \
SuperscriptBox[RowBox[{\\\"(\\\", \
RowBox[{RowBox[{\\\"141498.48776203764`\\\", \\\"\[VeryThinSpace]\\\"}], \
\\\"+\\\", RowBox[{\\\"Cosh\\\", \\\"[\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \
\\\"1\\\", \\\"\[RightSkeleton]\\\"}], \\\"]\\\"}]}], \\\")\\\"}], \
\\\"2\\\"]]}], \\\")\\\"}]}], \\\"+\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \
\\\"49\\\", \\\"\[RightSkeleton]\\\"}], \\\"+\\\", \
RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\"}]}], \
\\\",\\\", RowBox[{\\\"\[LeftSkeleton]\\\", \\\"1\\\", \\\"\[RightSkeleton]\\\
\"}]}], \\\"}\\\"}]\\) is not a list of numbers with dimensions \
\\!\\(\\*RowBox[{\\\"{\\\", \\\"2\\\", \\\"}\\\"}]\\) at \
\\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"yy\\\", \\\",\\\", \\\"bb0\\\"}], \
\\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", RowBox[{\\\"2.`\\\", \\\",\\\", \
\\\"1.`\\\"}], \\\"}\\\"}]\\).\"", 2, 40, 4, 24487566792016397019, "Local"},
"MessageTemplate"]], "Message", "MSG",
CellChangeTimes->{3.9919643917585564`*^9, 3.991965364224392*^9},
CellLabel->
"During evaluation of \
In[40]:=",ExpressionUUID->"50f338a9-2714-414e-bdb7-3725d4c972eb"],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"yy", "\[Rule]", "1.3500734902449187`"}], ",",
RowBox[{"bb0", "\[Rule]", "1.2509407283612735`"}]}], "}"}]], "Output",
CellChangeTimes->{3.991964391814556*^9, 3.9919653643031864`*^9},
CellLabel->"Out[40]=",ExpressionUUID->"a7b97199-28ed-c646-8d22-78ffeb63ef4c"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"yy", "=", "1.35"}]], "Input",
CellChangeTimes->{{3.9919643977866764`*^9, 3.991964402237297*^9}, {
3.991965369034729*^9, 3.9919653692465267`*^9}},
CellLabel->"In[42]:=",ExpressionUUID->"4524f895-5d5e-a74f-a717-0cd15a841249"],
Cell[BoxData["1.35`"], "Output",
CellChangeTimes->{3.9919644079976406`*^9, 3.9919653747711143`*^9},
CellLabel->"Out[42]=",ExpressionUUID->"377d765f-55cd-dc47-820d-b3643247f64b"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"bb0", "=", "1.25"}]], "Input",
CellChangeTimes->{{3.9919644056263065`*^9, 3.991964406063389*^9}, {
3.9919653725905457`*^9, 3.991965372909004*^9}},
CellLabel->"In[41]:=",ExpressionUUID->"17f8190f-852b-fa46-bdc8-1bb243b31de3"],
Cell[BoxData["1.25`"], "Output",
CellChangeTimes->{3.9919644088621464`*^9, 3.991965373888151*^9},
CellLabel->"Out[41]=",ExpressionUUID->"23a36480-da27-694e-95bd-3cc076086ad0"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"l2222", "=",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{
RowBox[{"{",
RowBox[{
FractionBox["1",
SuperscriptBox["p0", "2"]],
RowBox[{"(",
RowBox[{
SuperscriptBox[
RowBox[{"(",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R2"}], "bb0"]]}]], ")"}], "2"], "+",
RowBox[{"yy", "*",
RowBox[{"(",
RowBox[{
RowBox[{"R2", "*",
RowBox[{
SubscriptBox["\[PartialD]", "R2"], " ",
SuperscriptBox[
RowBox[{"(",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R2"}], "bb0"]]}]], ")"}], "2"]}], "*",
"b2", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x2", ",", "\[Phi]"}], "]"}]}],
"+",
RowBox[{
FractionBox[
RowBox[{"R2", "*", "R2"}], "2"], "*",
RowBox[{
SubscriptBox["\[PartialD]", "R2"], " ",
RowBox[{
SubscriptBox["\[PartialD]", "R2"], " ",
SuperscriptBox[
RowBox[{"(",
FractionBox["p0",
RowBox[{"1", "+",
SuperscriptBox["\[ExponentialE]",
FractionBox[
RowBox[{"r", "-", "R2"}], "bb0"]]}]], ")"}], "2"]}]}],
"*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"b2", "*",
RowBox[{"SphericalHarmonicY", "[",
RowBox[{"2", ",", "0", ",", "x2", ",", "\[Phi]"}],
"]"}]}], ")"}], "2"]}]}], ")"}]}]}], ")"}]}], "}"}], "/.",
RowBox[{"R2", "\[Rule]", "R02"}]}], "/.",
RowBox[{"p0", "\[Rule]", "0.17"}]}], "/.",
RowBox[{"a2", "\[Rule]", "a2"}]}], "/.",
RowBox[{"x2", "\[Rule]", "0"}]}], "/.",
RowBox[{"b2", "\[Rule]", "b2"}]}], ",",
RowBox[{"{",
RowBox[{"r", ",", "7", ",", "13"}], "}"}], ",",
RowBox[{"ColorFunction", "->",
RowBox[{"Function", "[",
RowBox[{"{", "Red", "}"}], "]"}]}]}], "]"}]}]], "Input",
CellChangeTimes->{
3.9917169296319904`*^9, {3.9919653858356647`*^9, 3.991965385973503*^9}},
CellLabel->"In[45]:=",ExpressionUUID->"86a6c2bf-ff39-cc4d-a1c0-fb8141afbdb9"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{GraphicsComplexBox[CompressedData["
1:eJwVlvk7lYkbxoVsU5GK6JDlvO97XvtEatqeh4aypBOyNZIlhKIkWcp2FKEc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"], {{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.],
LineBox[{1, 176, 149, 123, 98, 74, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
28, 177, 150, 124, 99, 75, 52, 29, 178, 151, 125, 100, 76, 53, 30,
179, 152, 126, 101, 77, 54, 31, 180, 153, 127, 102, 78, 55, 32,
181, 154, 128, 103, 79, 56, 33, 182, 155, 129, 104, 80, 57, 34,
183, 156, 130, 105, 81, 58, 35, 184, 157, 131, 106, 82, 59, 36,
185, 158, 132, 107, 83, 60, 37, 186, 159, 133, 108, 84, 61, 38,
187, 160, 134, 109, 85, 62, 39, 188, 161, 135, 110, 86, 63, 40,
189, 162, 136, 111, 87, 64, 41, 190, 163, 137, 112, 88, 65, 42,
191, 164, 138, 113, 89, 66, 43, 192, 165, 139, 114, 90, 67, 44,
193, 166, 140, 115, 91, 68, 45, 194, 167, 141, 116, 92, 69, 46,
195, 168, 142, 117, 93, 70, 47, 196, 169, 143, 118, 94, 71, 48,
197, 170, 144, 119, 95, 72, 49, 198, 171, 145, 120, 96, 73, 199,
172, 146, 121, 97, 200, 173, 147, 122, 201, 174, 148, 202, 175,
203, 50},
VertexColors->Automatic]},
Annotation[#, "Charting`Private`Tag#1"]& ]},
VertexColors->CompressedData["
1:eJztyrEJgDAARNGIFq7hKlrYWGUECyEgBIxbupSmsHAFec2H496w5rhdIYTS
PVlSObfms9q6+idxHqe85yPVP4U3OI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7j
OI7j/+I30dXt0A==
"]], {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {
GraphicsComplex[CompressedData["
1:eJwVlvk7lYkbxoVsU5GK6JDlvO97XvtEatqeh4aypBOyNZIlhKIkWcp2FKEc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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{1, 176, 149, 123, 98, 74, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26,
27, 28, 177, 150, 124, 99, 75, 52, 29, 178, 151, 125, 100, 76,
53, 30, 179, 152, 126, 101, 77, 54, 31, 180, 153, 127, 102,
78, 55, 32, 181, 154, 128, 103, 79, 56, 33, 182, 155, 129, 104,
80, 57, 34, 183, 156, 130, 105, 81, 58, 35, 184, 157, 131,
106, 82, 59, 36, 185, 158, 132, 107, 83, 60, 37, 186, 159, 133,
108, 84, 61, 38, 187, 160, 134, 109, 85, 62, 39, 188, 161,
135, 110, 86, 63, 40, 189, 162, 136, 111, 87, 64, 41, 190, 163,
137, 112, 88, 65, 42, 191, 164, 138, 113, 89, 66, 43, 192,
165, 139, 114, 90, 67, 44, 193, 166, 140, 115, 91, 68, 45, 194,
167, 141, 116, 92, 69, 46, 195, 168, 142, 117, 93, 70, 47,
196, 169, 143, 118, 94, 71, 48, 197, 170, 144, 119, 95, 72, 49,
198, 171, 145, 120, 96, 73, 199, 172, 146, 121, 97, 200, 173,
147, 122, 201, 174, 148, 202, 175, 203, 50}, VertexColors ->
Automatic]}, "Charting`Private`Tag#1"]}}, VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{7, 13}, {0., 1.01270012148501}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {7.000000000000016, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVkWk4lYkfhoVsU5GK6JDlvO97XvsgNal+PxrKkk7I1kiWEIqSZMt2FKEc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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{7, 13}, {0., 1.01270012148501}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {7.000000000000016, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVkWk4lYkfhoVsU5GK6JDlvO97XvsgNal+PxrKkk7I1kiWEIqSZMt2FKEc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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{
GraphicsComplex[CompressedData["
1:eJwVlvk7lYkbxoVsU5GK6JDlvO97XvtEatqeh4aypBOyNZIlhKIkWcp2FKEc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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{1, 176, 149, 123, 98, 74, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28,
177, 150, 124, 99, 75, 52, 29, 178, 151, 125, 100, 76, 53, 30,
179, 152, 126, 101, 77, 54, 31, 180, 153, 127, 102, 78, 55, 32,
181, 154, 128, 103, 79, 56, 33, 182, 155, 129, 104, 80, 57, 34,
183, 156, 130, 105, 81, 58, 35, 184, 157, 131, 106, 82, 59, 36,
185, 158, 132, 107, 83, 60, 37, 186, 159, 133, 108, 84, 61, 38,
187, 160, 134, 109, 85, 62, 39, 188, 161, 135, 110, 86, 63, 40,
189, 162, 136, 111, 87, 64, 41, 190, 163, 137, 112, 88, 65, 42,
191, 164, 138, 113, 89, 66, 43, 192, 165, 139, 114, 90, 67, 44,
193, 166, 140, 115, 91, 68, 45, 194, 167, 141, 116, 92, 69, 46,
195, 168, 142, 117, 93, 70, 47, 196, 169, 143, 118, 94, 71, 48,
197, 170, 144, 119, 95, 72, 49, 198, 171, 145, 120, 96, 73, 199,
172, 146, 121, 97, 200, 173, 147, 122, 201, 174, 148, 202, 175,
203, 50}, VertexColors -> Automatic]}, "Charting`Private`Tag#1"]}},
VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{7, 13}, {0., 1.01270012148501}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {7.000000000000016, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVkWk4lYkfhoVsU5GK6JDlvO97XvsgNal+PxrKkk7I1kiWEIqSZMt2FKEc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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{7.000000000000016, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{7, 13}, {0., 1.01270012148501}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{
3.9919644112859936`*^9, {3.991965376324545*^9, 3.9919653868094997`*^9}},
CellLabel->"Out[45]=",ExpressionUUID->"a8bb082f-c236-ff48-ad39-40714b1d68e9"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"Show", "[",
RowBox[{"l1111", ",", "l2222"}], "]"}], "\[IndentingNewLine]"}]], "Input",
CellLabel->"In[46]:=",ExpressionUUID->"8a3460c1-aa75-4842-9332-c34c99c08aa4"],
Cell[BoxData[
GraphicsBox[{
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.], LineBox[CompressedData["
1:eJwVV3c41t8bppCQkGSPd78REsI35zyVzIZERiIjZZNEimREqJBVpJQRRbJX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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ]}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3c41t8bppCQkGSPd78REsI35zyVzIZERiIjZZNEimREqJBVpJQRRbJX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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{6, 13}, {0., 0.9838824269554479}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {6.000000000000013, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{6, 13}, {0., 0.9838824269554479}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {6.000000000000013, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVV3c41t8bppCQkGSPd78REsI35zyVzIZERiIjZZNEimREqJBVpJQRRbJX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"]]}, "Charting`Private`Tag#1"]}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{6, 13}, {0., 0.9838824269554479}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {6.000000000000013, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
InterpretationBox[{
TagBox[{GraphicsComplexBox[CompressedData["
1:eJwVlvk7lYkbxoVsU5GK6JDlvO97XvtEatqeh4aypBOyNZIlhKIkWcp2FKEc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"], {{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.],
LineBox[{1, 176, 149, 123, 98, 74, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26,
27, 28, 177, 150, 124, 99, 75, 52, 29, 178, 151, 125, 100, 76, 53,
30, 179, 152, 126, 101, 77, 54, 31, 180, 153, 127, 102, 78, 55,
32, 181, 154, 128, 103, 79, 56, 33, 182, 155, 129, 104, 80, 57,
34, 183, 156, 130, 105, 81, 58, 35, 184, 157, 131, 106, 82, 59,
36, 185, 158, 132, 107, 83, 60, 37, 186, 159, 133, 108, 84, 61,
38, 187, 160, 134, 109, 85, 62, 39, 188, 161, 135, 110, 86, 63,
40, 189, 162, 136, 111, 87, 64, 41, 190, 163, 137, 112, 88, 65,
42, 191, 164, 138, 113, 89, 66, 43, 192, 165, 139, 114, 90, 67,
44, 193, 166, 140, 115, 91, 68, 45, 194, 167, 141, 116, 92, 69,
46, 195, 168, 142, 117, 93, 70, 47, 196, 169, 143, 118, 94, 71,
48, 197, 170, 144, 119, 95, 72, 49, 198, 171, 145, 120, 96, 73,
199, 172, 146, 121, 97, 200, 173, 147, 122, 201, 174, 148, 202,
175, 203, 50},
VertexColors->Automatic]},
Annotation[#, "Charting`Private`Tag#1"]& ]},
VertexColors->CompressedData["
1:eJztyrEJgDAARNGIFq7hKlrYWGUECyEgBIxbupSmsHAFec2H496w5rhdIYTS
PVlSObfms9q6+idxHqe85yPVP4U3OI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7j
OI7j/+I30dXt0A==
"]], {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {
GraphicsComplex[CompressedData["
1:eJwVlvk7lYkbxoVsU5GK6JDlvO97XvtEatqeh4aypBOyNZIlhKIkWcp2FKEc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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{1, 176, 149, 123, 98, 74, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,
26, 27, 28, 177, 150, 124, 99, 75, 52, 29, 178, 151, 125, 100,
76, 53, 30, 179, 152, 126, 101, 77, 54, 31, 180, 153, 127,
102, 78, 55, 32, 181, 154, 128, 103, 79, 56, 33, 182, 155,
129, 104, 80, 57, 34, 183, 156, 130, 105, 81, 58, 35, 184,
157, 131, 106, 82, 59, 36, 185, 158, 132, 107, 83, 60, 37,
186, 159, 133, 108, 84, 61, 38, 187, 160, 134, 109, 85, 62,
39, 188, 161, 135, 110, 86, 63, 40, 189, 162, 136, 111, 87,
64, 41, 190, 163, 137, 112, 88, 65, 42, 191, 164, 138, 113,
89, 66, 43, 192, 165, 139, 114, 90, 67, 44, 193, 166, 140,
115, 91, 68, 45, 194, 167, 141, 116, 92, 69, 46, 195, 168,
142, 117, 93, 70, 47, 196, 169, 143, 118, 94, 71, 48, 197,
170, 144, 119, 95, 72, 49, 198, 171, 145, 120, 96, 73, 199,
172, 146, 121, 97, 200, 173, 147, 122, 201, 174, 148, 202,
175, 203, 50}, VertexColors -> Automatic]},
"Charting`Private`Tag#1"]}}, VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{7, 13}, {0., 1.01270012148501}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {7.000000000000016, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVkWk4lYkfhoVsU5GK6JDlvO97XvsgNal+PxrKkk7I1kiWEIqSZMt2FKEc
a0ecUlKDQk0bhZSyjL2UlGzRgjCIpP79PzzXc93X9dyfHmU3f+v9ggICAo2/
8v/eeW29mIAAA+fHhiQW64/DsZhJv/5FDIzO6ht4rjMO/L+utz0RYuBjntDZ
y5rjMCalej5BlIGfY1xcNlPjkBSyTGuFJAP331hY5C4/DnXm721IRQYWaJ1k
BAuMg9Fo6gXLTQwM4PnapWZ9AT3dMQPecQZeZ88ap1eOgU6K4Xb7eQbOLctT
P9UyAlOydg6+QQo4mZvtEP3pE5y373SWH1XA3w0kY/QFP4KT76jJ2CFFbLrl
phH3eQj6rrVprP6giBNXBlcvzA9CVLnljKfvWvzb8Tv1dawfBDmat9kja5Ez
c+jyvR+9UFBx8I/tukpYmz67RzupBxzWpiSEBiqhtmdpVrp4N4zKynXZlyrh
MTcvad7CSwgcsb0sOKKErifuG64zfAEi6m96qjSUESVD+hwj2yH8R70c64Ay
3pC6VXtCpxV+Ggo9vVSojKPxLd8mBhohcPeXkU+flHH6x5iY1fwzaBQyXtFD
qmDGyunC6eonoM3oLRzwUsEQ16LJe8WPILh+0Cg9XwXvVpngN5tKaOzVN7cf
UsEo2Q0SPtn3Yfnz9U3DpCou4nRYSeXeho1/5e1UdVfF7LZoQwXvmxBgZbf1
cL4qhvplRJV03YCEF4cNfPpUcUWy0sNIuUJI24D5OgpMdMn1X/4nowAKFzvF
iu9l4kKFu/6DQ5fgitdr1+RsJtqZeVQaLrsAnZlyFWnnmXh/UjZH+isfRJ46
rMzOYaLCf9S7uXd88GS+fFrAZ+KcxE+fuTI+kH0d6tWXmDi92eBIhR0fCpya
picLmcjfXC1jfDkXru2oTnCoYGJi/yR/+fYcKNYrKFN9w0QpToxYYiUPLLVa
kXjLxD8U5R/FFfFghPWthexh4pRm7UDyOR5oKFqN0b1MjC33+fPpER4Uic2o
6QwyMacmM7KT4kHhW5P8TSNM/L7R2/pg+jm4dup95u7vTGRz1yz9IzgL8ruZ
4acYBDZNqbtEuGbAuQDLu8EKBM65itZcss6AxMVHJ70UCaxNG5Ro35oBR7Qf
e29XItBLZLmBFZkBGOu6W5xJYCs1ZPrgczp0q/G1EtUJXGojLORzPB2kQ2X7
zmwkUCW5dFX/uTSIWi1hmulA4ISC80OBaS4wumcash0JdKspVXIb5sLd3IGd
F5wI7KjpPtbUxYUxlYeO1/4icO/SgN5HlVxw1gw4WL6PwF3rOJ+UEriw0bgz
vcebwFNiUV/L1nJhyvfSABlCoL9X5j8TNingXbUx+i6PQBeNmKLFJclgzyBu
FmYT+EHi9fgbXjKYhkgO5J4n0JPr1ljDSQZCb/BPTi6BsiaL5cudkqG/IFls
Vx6BH9l1K+1Ek2HPmd6zn64RWK29ydLQPQmsnE/yFe4RuF6E3hpKJIL+fFtF
bCeBPRI+ky/b4iFN9arKkZcEOt6X/MezOh4mLcIT9r0i8Jv8RcdFJfFQmkPa
b35NYNuS6787JcWDxpawyZm3BIboF2/hbYsH1Wgm7fOewIsxjUzT6lMgLRqc
yZ4isKg8qY0sPwkT0ozDCtIkrsRbSf7NHJj1vqOstIJEM0+l0ohKDghUsdtV
VpJY5cG/k3WDA8t84/RYMiQWzo+YfznDAbXHY9O68iSWOI7mq7M54BH4KHS7
ConzfX5tbc9jobPDkxOoS2Lnh4qa7KEYqEgvy6q3JtExNZjlqRYNMnFmU+U2
v7iqhZJSjIaAoD52sS2JL1lrmmqWRwNpt1zirB2JRgVGk0ZzUZAiezjc1olE
me404at1UeCZreP6zpVEF5uDW0UPRIH0xRK16QASPyZbHJpwiQTvousPlc6S
WNQZVtBTGA6+9RIeZAqJxmuOdh1OD4dDw14SGlwSNZTT9GROhMNRVRX79Wkk
3tEoVkvdFQ6R5zPHd2SRaJ8n/GT3XBhkJkaqhl0gcXdS2UMByzCo9d2V8KKE
xBl/PbeUhRBQ0Zi2Pd1KYjvtvV/kbDAcH9x59UQbiW9k210rI4KhJadw7kg7
iftNbzXE+AVD+NJ9/D3PSfzuuK1KxzwYOscahjVekVgt/dFYSSQYEsouhra8
I3FB3wBNo47BuIHlxZVfSJxwzD8XGBEEVUaXP/OXUthZ/F8plxcIJ2s/BJ5Z
RuGTptFQv8RAsDTT+h4hSaGcmoLFrohAeMW+v8R5OYWLQjj9G1wDYdylRXPN
Kgq1e9iakXQgqJyY989iUGjHCcL+iiNwstxm6qw6hUNdD8o6hg/DDj3hhSgz
ClXeC5747hQADwaXtXDMKVwheGuYaRUAaplyefEWFKYK+GyyNwoAkTktk5Qd
FJ6vkk3oogKgutIx+cIuCn/486qufvIHffMShUpHCoulWjV1mf4g7+q0Zf4A
hSl3w2o8rxyED2dKI4NOU2iGfd4Wb32g8PW9Ba9ECt/3O8Ul1vuAH/kozCmJ
wmu/VXzpuu0D4w/bguEMhbZb7sflnfGB2ZFJf/FUCqcyZnJeow+IWazbl8uj
sP4c8ejz1QPAEi3H2msUXnIvPGkS5Q1ekY8XrXpG4ZumBV69vSe0z6bUr6mj
sPnPoLgJE0/YdGQvV6WeQq2vGEXpe4LU/jklnUYKd1qFHH8o5Qn3zLXRooXC
UbcSk5SG/SAhc/5E9EsK5Q+F/3yG+6G4+Mj86DCF3wOrvhis94DJLuXpp2Is
lFLeWjRg5gb/Kr6erBNn4T9ry8lYQzcocE8db5BgoX/C2X81Nd3AaVRwpHkJ
CxX3WAflS7lBjcBgf6fUr31qlJXMK1fgUgWtQ6tZSOdoNgsfcAWdILViEZqF
0kY773ek7oNDUnrupmYsnO7YXCosvhdyvnxYst6chX/cE2gbn3SG+mb+HcqC
hRvWfP4x8sYZmMkSEuI7WPiY5Wi7qswZXov3lzayWXhn2KKA6eQMpkLcH2wH
FjasERTRL/kLFGfGeHu8WOj2ed/2Oo890Nxd2BoQx0LrGwHU0XkHyP9APAk6
ycK9cauuRA87QOj0xbuhp1jIVS8Z5nc4ACGZxeck/PIFS06LFTtAuHGs37lk
Fmpx/SYznR2A/nuPWHUGC9k/wyoyHtsD59gSlCxgoUvStvy6bDvYuPxQyfWn
LOTVtwgmBdqC+70hq7xnLPTOsA4y8bCFJBeXsfQ6FgbxLxpI7LaFd9fZmuEN
LKww5nNuG9gCx1yvyLyZhY+2eHunfrOB5tjZguEXLDwelqu/l2MDbjMxfOX3
LDSW71svctEaTndnJWcI0Xjp7rHekWk2qFrNu3GEaTz9bcol/CMbHlTv3RC4
mMZN+YojK9+yYewKMcAWpXFqTbCU6xM2WAfc2rDkNxofCe967pHGBvnFLQMx
0jQWi9OlK/XYUKglsjFAmUaBOzcedExYQWP00SFzoJGbV9iuu9ESlqjkLrZC
GmMlZH6/rWoJVjW1zF1GNFYv03E0W2oJrYKy7vZbafy66GVzQa8FPI+9/859
G41p32Sa9OMtoCfux6vwnTT67zRQ5r42h8mE+MYbLjSGV84XjCaagVxqTql0
FI16h70mfBS3wY1/a8KEo2nsDxIX1V+6DYxFP5rO/GKpe/hK/Lsp+IWve9sV
S+PJRvX47i5TqPZsFs87ReO+TRnyMpmm4Gko4K599pfPiBfulTKFm4Puqyz5
NFL/mMvHS5qA+Xr10LgHNLbxuQe3aW8Fxhpdj7SHNE60L5llr90KYz82WOVV
0qjUtfaOl+RWSHtqqvKwmkbVlW15D74Yw5vdbg1TT2iUIy5JCJUZw6GjPHmP
Jhrvk3teza4zhtQy0QrjHhoVCOsOMDMCj4xlV9jvaBR/MRLVvdEIDEJWnd3b
S+NHb7fVsRpG0I2q7qH9NJZfb3w7LWkEzNYtv90conEoq/mm90uEO2NBe5S/
0Bix5atSmDdCfHu4ifb4r//+NvvQ6oTgdCdWe/MEjbU6twV0dyD8jOAKOf5H
o0HCrZ+rdBG2L71elPKVxga5z151swDyE7cy+LM0nhgRFaJ6AEael0cWz9Go
2Gpx/fxjgJScOpu6eRptFd4OPT0D4BbVsrnzO43PXOSsI44C6Ht0UoMLNO7e
4cQxcwIQ2f52+eQPGtWaKnzVEaBLfXD+508aS7d7z6iQAP8DAaWgjA==
"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{7, 13}, {0., 1.01270012148501}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {7.000000000000016, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVkWk4lYkfhoVsU5GK6JDlvO97XvsgNal+PxrKkk7I1kiWEIqSZMt2FKEc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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{
GraphicsComplex[CompressedData["
1:eJwVlvk7lYkbxoVsU5GK6JDlvO97XvtEatqeh4aypBOyNZIlhKIkWcp2FKEc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"], {{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{1, 176, 149, 123, 98, 74, 51, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
28, 177, 150, 124, 99, 75, 52, 29, 178, 151, 125, 100, 76, 53, 30,
179, 152, 126, 101, 77, 54, 31, 180, 153, 127, 102, 78, 55, 32,
181, 154, 128, 103, 79, 56, 33, 182, 155, 129, 104, 80, 57, 34,
183, 156, 130, 105, 81, 58, 35, 184, 157, 131, 106, 82, 59, 36,
185, 158, 132, 107, 83, 60, 37, 186, 159, 133, 108, 84, 61, 38,
187, 160, 134, 109, 85, 62, 39, 188, 161, 135, 110, 86, 63, 40,
189, 162, 136, 111, 87, 64, 41, 190, 163, 137, 112, 88, 65, 42,
191, 164, 138, 113, 89, 66, 43, 192, 165, 139, 114, 90, 67, 44,
193, 166, 140, 115, 91, 68, 45, 194, 167, 141, 116, 92, 69, 46,
195, 168, 142, 117, 93, 70, 47, 196, 169, 143, 118, 94, 71, 48,
197, 170, 144, 119, 95, 72, 49, 198, 171, 145, 120, 96, 73, 199,
172, 146, 121, 97, 200, 173, 147, 122, 201, 174, 148, 202, 175,
203, 50}, VertexColors -> Automatic]},
"Charting`Private`Tag#1"]}}, VertexColors -> {{
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}, {
RGBColor[1, 0, 0]}}], {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>,
"PlotRange" -> {{7, 13}, {0., 1.01270012148501}},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {7.000000000000016, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[CompressedData["
1:eJwVkWk4lYkfhoVsU5GK6JDlvO97XvsgNal+PxrKkk7I1kiWEIqSZMt2FKEc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"]]}, "Charting`Private`Tag#1"]}}, {}}, "GCFlag" -> True|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]]},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{6.000000000000013, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{{6, 13}, {0., 0.9838824269554479}},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{
3.991964413959593*^9, {3.9919653785065365`*^9, 3.99196538910149*^9}},
CellLabel->"Out[46]=",ExpressionUUID->"e3c73124-5ee5-7e4d-83eb-0db8ce2e2f72"]
}, Open ]]
},
WindowSize->{1428, 741.75},
WindowMargins->{{0, Automatic}, {Automatic, 0}},
CellContext->Notebook,
FrontEndVersion->"14.3 for Microsoft Windows (64-bit) (July 8, 2025)",
StyleDefinitions->"Default.nb",
ExpressionUUID->"1a7a37f1-4b71-ed43-9b79-f0236ef1c974"
]
(* End of Notebook Content *)
(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[CellGroupData[{
Cell[576, 22, 1152, 34, 80, "Input",ExpressionUUID->"ffae8b70-aa14-974a-9de2-11aa9ba7fa35"],
Cell[1731, 58, 1468, 46, 97, "Output",ExpressionUUID->"f00538f3-424d-5a45-91bd-3eee5cf83449"]
}, Open ]],
Cell[CellGroupData[{
Cell[3236, 109, 720, 20, 61, "Input",ExpressionUUID->"583e80ed-08b1-3540-acb6-5c5ddc81ef63"],
Cell[3959, 131, 863, 25, 71, "Output",ExpressionUUID->"2a18313e-1f31-6d47-a71a-80e32b33c3f8"]
}, Open ]],
Cell[CellGroupData[{
Cell[4859, 161, 1465, 41, 56, "Input",ExpressionUUID->"0d592b07-0bde-dd44-8769-c843b2d15343"],
Cell[6327, 204, 2559, 75, 146, "Output",ExpressionUUID->"f9210340-71d9-8548-b6dd-6e1f2ea59c91"]
}, Open ]],
Cell[CellGroupData[{
Cell[8923, 284, 1680, 48, 56, "Input",ExpressionUUID->"2ab4cb2f-3eb0-8f4d-b0e5-c0b0154d2f35"],
Cell[10606, 334, 2758, 81, 146, "Output",ExpressionUUID->"7bb7a125-449f-3a49-97d2-1464bf24ed55"]
}, Open ]],
Cell[CellGroupData[{
Cell[13401, 420, 1843, 53, 88, "Input",ExpressionUUID->"80075296-619a-5348-a91f-42a62b35265a"],
Cell[15247, 475, 3728, 111, 121, "Output",ExpressionUUID->"d32a7453-1a51-6e48-86af-b1d1c28a8672"]
}, Open ]],
Cell[CellGroupData[{
Cell[19012, 591, 2080, 59, 88, "Input",ExpressionUUID->"7e5ea904-38c2-8f45-b173-9fdd0d01cd3b"],
Cell[21095, 652, 4797, 140, 121, "Output",ExpressionUUID->"a6e1e3e7-c00b-3944-a263-f0f98e41f146"]
}, Open ]],
Cell[25907, 795, 153, 3, 28, "Input",ExpressionUUID->"76dcb41c-d560-6240-8a0d-5f5c4dea74f7"],
Cell[CellGroupData[{
Cell[26085, 802, 330, 6, 28, "Input",ExpressionUUID->"f25944e3-b412-7146-ac6d-f008d8c60ab5"],
Cell[26418, 810, 277, 4, 32, "Output",ExpressionUUID->"6a9ddfcd-6773-d042-b72b-ee308eec2141"]
}, Open ]],
Cell[CellGroupData[{
Cell[26732, 819, 253, 6, 28, "Input",ExpressionUUID->"24bf6fdb-f0a0-774b-a5d1-1f910c97a298"],
Cell[26988, 827, 276, 4, 32, "Output",ExpressionUUID->"52096119-62e6-0d42-9c3a-ed392c0f435b"]
}, Open ]],
Cell[CellGroupData[{
Cell[27301, 836, 176, 3, 28, "Input",ExpressionUUID->"f86d7ec2-4b9e-cb4f-ac44-ab1d7c6b8c93"],
Cell[27480, 841, 250, 3, 32, "Output",ExpressionUUID->"ff7e327a-caed-ff48-83df-0fe2efc4709b"]
}, Open ]],
Cell[CellGroupData[{
Cell[27767, 849, 258, 7, 43, "Input",ExpressionUUID->"18b7ff08-61ef-0a43-a3b6-f39456c5d3bf"],
Cell[28028, 858, 263, 3, 32, "Output",ExpressionUUID->"93d6f676-720a-5849-a331-8426b6262c0a"]
}, Open ]],
Cell[CellGroupData[{
Cell[28328, 866, 132, 2, 28, "Input",ExpressionUUID->"81606684-c7bc-8847-8110-4e7d8dadb4e3"],
Cell[28463, 870, 252, 3, 32, "Output",ExpressionUUID->"f741aa01-a99b-b44b-b60c-e076bb3abbca"]
}, Open ]],
Cell[CellGroupData[{
Cell[28752, 878, 277, 6, 28, "Input",ExpressionUUID->"f761fcb8-28f7-6340-a8c9-04643afe677c"],
Cell[29032, 886, 266, 3, 32, "Output",ExpressionUUID->"71a44cb5-a1c6-d444-bdc5-4d11fddcaa5f"]
}, Open ]],
Cell[CellGroupData[{
Cell[29335, 894, 258, 7, 28, "Input",ExpressionUUID->"eb02623b-c429-f44e-955f-4ce148f45177"],
Cell[29596, 903, 262, 3, 32, "Output",ExpressionUUID->"47939d39-036e-054e-9de8-a4bd25512646"]
}, Open ]],
Cell[29873, 909, 295, 6, 28, "Input",ExpressionUUID->"5a7643d0-24aa-4445-a07d-8c03ae610a22"],
Cell[30171, 917, 299, 6, 28, "Input",ExpressionUUID->"0d6c01d9-da94-5e40-a1b9-b6cc52ad8d72"],
Cell[CellGroupData[{
Cell[30495, 927, 129, 2, 28, "Input",ExpressionUUID->"bdbca864-d729-6d45-83af-09286972fe2c"],
Cell[30627, 931, 248, 3, 32, "Output",ExpressionUUID->"5d184a3a-6729-2542-bddb-91c459c84dd2"]
}, Open ]],
Cell[CellGroupData[{
Cell[30912, 939, 129, 2, 28, "Input",ExpressionUUID->"ff4d19af-9e5c-ef4d-abe6-b09a5488a2e8"],
Cell[31044, 943, 245, 3, 32, "Output",ExpressionUUID->"a2015830-d30b-264b-9c26-848d4c35743d"]
}, Open ]],
Cell[CellGroupData[{
Cell[31326, 951, 1965, 50, 117, "Input",ExpressionUUID->"1df47ed4-968d-ab47-9cf0-8687993d44a2"],
Cell[33294, 1003, 31761, 569, 237, "Output",ExpressionUUID->"b99c4f95-df55-1444-95e1-a039c9afcece"]
}, Open ]],
Cell[65070, 1575, 128, 3, 28, "Input",ExpressionUUID->"7b24a916-b850-f042-8ae8-50b3ad5aa448"],
Cell[CellGroupData[{
Cell[65223, 1582, 2276, 59, 68, "Input",ExpressionUUID->"0fd1647e-55ba-6c45-ad3c-c7cf0756600e"],
Cell[67502, 1643, 5393, 79, 107, "Message",ExpressionUUID->"a6ce969d-823a-ef4d-a589-f7cc65df348d"],
Cell[72898, 1724, 339, 7, 32, "Output",ExpressionUUID->"bbd66703-49d1-134c-8200-9aff5ce6bb92"]
}, Open ]],
Cell[CellGroupData[{
Cell[73274, 1736, 2168, 58, 68, "Input",ExpressionUUID->"79d865b0-6c37-3243-a4e0-d7506dcfe14a"],
Cell[75445, 1796, 4376, 63, 101, "Message",ExpressionUUID->"4b16b77f-f67d-e34e-87af-3a85ccc8a16f"],
Cell[79824, 1861, 297, 7, 32, "Output",ExpressionUUID->"2652aef6-326a-b249-aff2-673a6f5b2f37"]
}, Open ]],
Cell[CellGroupData[{
Cell[80158, 1873, 302, 5, 28, "Input",ExpressionUUID->"b936a356-288b-fa49-9ce3-75db208c644a"],
Cell[80463, 1880, 203, 3, 32, "Output",ExpressionUUID->"24c069fc-ebcb-8047-a502-1148cf0d4875"]
}, Open ]],
Cell[CellGroupData[{
Cell[80703, 1888, 307, 5, 28, "Input",ExpressionUUID->"d5b02e93-37c6-e046-a015-cd95d27ec9f3"],
Cell[81013, 1895, 235, 4, 32, "Output",ExpressionUUID->"3c0a4e5a-023d-db4e-a7c3-2ef94f5b809b"]
}, Open ]],
Cell[CellGroupData[{
Cell[81285, 1904, 2521, 63, 139, "Input",ExpressionUUID->"7cc2507c-877d-4b47-80a1-806136a93537"],
Cell[83809, 1969, 107321, 2284, 237, "Output",ExpressionUUID->"41956e1f-1f68-414f-abf8-1d85f5f909bc"]
}, Open ]],
Cell[CellGroupData[{
Cell[191167, 4258, 161, 3, 42, "Input",ExpressionUUID->"9998eff2-8c55-9c49-a7ba-40c39d494e08"],
Cell[191331, 4263, 138703, 2809, 237, "Output",ExpressionUUID->"6703284e-71ee-2b49-a42f-e34e32f0c333"]
}, Open ]],
Cell[CellGroupData[{
Cell[330071, 7077, 911, 25, 60, "Input",ExpressionUUID->"c35d5cd1-71e8-0d46-9aff-241fa1902366"],
Cell[330985, 7104, 45788, 799, 237, "Output",ExpressionUUID->"ac71e15b-ed5e-df47-9b29-0c4867b635da"]
}, Open ]],
Cell[CellGroupData[{
Cell[376810, 7908, 2363, 61, 68, "Input",ExpressionUUID->"96e79a55-1eb8-2a4c-bbe6-5fbb4df97bf2"],
Cell[379176, 7971, 5452, 79, 110, "Message",ExpressionUUID->"293d998c-aeb5-184b-97de-8f2d9e85e42d"],
Cell[384631, 8052, 314, 6, 32, "Output",ExpressionUUID->"a6d0bcab-7a5f-3241-a90b-d597e43a8a2c"]
}, Open ]],
Cell[CellGroupData[{
Cell[384982, 8063, 226, 4, 28, "Input",ExpressionUUID->"e7f8a0fc-58ca-3c43-8050-1041e5611e26"],
Cell[385211, 8069, 175, 2, 32, "Output",ExpressionUUID->"47b1b04b-24ab-8646-9e9d-741b016fa08e"]
}, Open ]],
Cell[CellGroupData[{
Cell[385423, 8076, 252, 4, 28, "Input",ExpressionUUID->"8a3efd5c-480b-0b42-87de-a0381a89eb4a"],
Cell[385678, 8082, 177, 2, 32, "Output",ExpressionUUID->"aadb20c3-ffae-b946-a5c2-c62eda02df65"]
}, Open ]],
Cell[CellGroupData[{
Cell[385892, 8089, 981, 26, 61, "Input",ExpressionUUID->"a14f3f77-6d27-1048-853d-e35ac0579b5a"],
Cell[386876, 8117, 111871, 2376, 237, "Output",ExpressionUUID->"cd317bc8-762f-b249-ba4b-f05e39e52441"]
}, Open ]],
Cell[CellGroupData[{
Cell[498784, 10498, 163, 3, 42, "Input",ExpressionUUID->"7f7adb48-d16c-ff46-92de-216bf33e0dd7"],
Cell[498950, 10503, 157319, 3132, 237, "Output",ExpressionUUID->"9e14947f-42bc-8641-8034-f5e698425a9d"]
}, Open ]],
Cell[656284, 13638, 238, 4, 42, "Input",ExpressionUUID->"1a4d7ad0-fdd7-c149-91c3-f4bf148c2ba8"],
Cell[CellGroupData[{
Cell[656547, 13646, 773, 22, 60, "Input",ExpressionUUID->"5f40daf9-1e74-0640-ab31-9384896fd730"],
Cell[657323, 13670, 18986, 357, 238, "Output",ExpressionUUID->"ab4a8ae4-7b26-1044-b8e9-90a3af291166"]
}, Open ]],
Cell[CellGroupData[{
Cell[676346, 14032, 2162, 57, 68, "Input",ExpressionUUID->"90f0001a-9463-4d4f-9baf-b5d8df3a0ca0"],
Cell[678511, 14091, 834, 15, 26, "Message",ExpressionUUID->"d45217bd-3db0-d84b-b93e-b4da41993a99"],
Cell[679348, 14108, 317, 6, 32, "Output",ExpressionUUID->"0c3ee823-26f7-754d-aaf4-945766964406"]
}, Open ]],
Cell[CellGroupData[{
Cell[679702, 14119, 250, 4, 28, "Input",ExpressionUUID->"dbdfb703-96b0-7646-a6d8-1714cb27d7e0"],
Cell[679955, 14125, 177, 2, 32, "Output",ExpressionUUID->"0033eac9-b93a-5840-8e79-2fdb31b1f0d6"]
}, Open ]],
Cell[CellGroupData[{
Cell[680169, 14132, 249, 4, 28, "Input",ExpressionUUID->"b1797ad3-1841-6d4a-802c-01a83775cf12"],
Cell[680421, 14138, 179, 2, 32, "Output",ExpressionUUID->"2c6f3eab-7b12-5342-ba0c-9ee44e09e8e4"]
}, Open ]],
Cell[CellGroupData[{
Cell[680637, 14145, 2560, 64, 161, "Input",ExpressionUUID->"44ce8c70-9506-d44d-96f8-61e476c7c15f"],
Cell[683200, 14211, 23768, 514, 237, "Output",ExpressionUUID->"2997bdd0-9785-af49-ae97-9f40d7c169a6"]
}, Open ]],
Cell[CellGroupData[{
Cell[707005, 14730, 165, 3, 42, "Input",ExpressionUUID->"299aaf37-7ffd-574a-9050-d17f2288bbc9"],
Cell[707173, 14735, 41611, 830, 238, "Output",ExpressionUUID->"3bdc7a5c-e2ee-584c-ac64-2e70607d048a"]
}, Open ]],
Cell[CellGroupData[{
Cell[748821, 15570, 851, 24, 60, "Input",ExpressionUUID->"f3943b5b-dc03-1343-88ab-8e6b6abbdcf4"],
Cell[749675, 15596, 39726, 699, 237, "Output",ExpressionUUID->"06c0f498-eac1-0847-9c8e-eda5d2c44b2b"]
}, Open ]],
Cell[CellGroupData[{
Cell[789438, 16300, 2333, 60, 87, "Input",ExpressionUUID->"821ca014-9c3d-214a-9c1a-0b2310271344"],
Cell[791774, 16362, 4044, 60, 95, "Message",ExpressionUUID->"50f338a9-2714-414e-bdb7-3725d4c972eb"],
Cell[795821, 16424, 317, 6, 32, "Output",ExpressionUUID->"a7b97199-28ed-c646-8d22-78ffeb63ef4c"]
}, Open ]],
Cell[CellGroupData[{
Cell[796175, 16435, 251, 4, 28, "Input",ExpressionUUID->"4524f895-5d5e-a74f-a717-0cd15a841249"],
Cell[796429, 16441, 179, 2, 32, "Output",ExpressionUUID->"377d765f-55cd-dc47-820d-b3643247f64b"]
}, Open ]],
Cell[CellGroupData[{
Cell[796645, 16448, 252, 4, 28, "Input",ExpressionUUID->"17f8190f-852b-fa46-bdc8-1bb243b31de3"],
Cell[796900, 16454, 177, 2, 32, "Output",ExpressionUUID->"23a36480-da27-694e-95bd-3cc076086ad0"]
}, Open ]],
Cell[CellGroupData[{
Cell[797114, 16461, 2844, 72, 140, "Input",ExpressionUUID->"86a6c2bf-ff39-cc4d-a1c0-fb8141afbdb9"],
Cell[799961, 16535, 49805, 1052, 237, "Output",ExpressionUUID->"a8bb082f-c236-ff48-ad39-40714b1d68e9"]
}, Open ]],
Cell[CellGroupData[{
Cell[849803, 17592, 204, 4, 63, "Input",ExpressionUUID->"8a3460c1-aa75-4842-9332-c34c99c08aa4"],
Cell[850010, 17598, 88691, 1711, 237, "Output",ExpressionUUID->"e3c73124-5ee5-7e4d-83eb-0db8ce2e2f72"]
}, Open ]]
}
]
*)