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test_aperture.py

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  • Forked from finesse / pykat
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    DataFits.m 111.47 KiB
    (* ::Package:: *)
    
    (************************************************************************)
    (* This file was generated automatically by the Mathematica front end.  *)
    (* It contains Initialization cells from a Notebook file, which         *)
    (* typically will have the same name as this file except ending in      *)
    (* ".nb" instead of ".m".                                               *)
    (*                                                                      *)
    (* This file is intended to be loaded into the Mathematica kernel using *)
    (* the package loading commands Get or Needs.  Doing so is equivalent   *)
    (* to using the Evaluate Initialization Cells menu command in the front *)
    (* end.                                                                 *)
    (*                                                                      *)
    (* DO NOT EDIT THIS FILE.  This entire file is regenerated              *)
    (* automatically each time the parent Notebook file is saved in the     *)
    (* Mathematica front end.  Any changes you make to this file will be    *)
    (* overwritten.                                                         *)
    (************************************************************************)
    
    
    
    (* ::Code::Initialization:: *)
    BeginPackage["DataFits`",{"NRLists`","ErrorBarPlots`"}];
    
    
    (* ::Code::Initialization:: *)
    \[Eta]::usage="\[Eta] for local usage";
    S::usage="S for local usage";
    \[Chi]1::usage="\[Chi]1 for local usage";
    \[Chi]2::usage="\[Chi]2 for local usage";
    \[Delta]\[Chi]::usage="\[Delta]\[Chi] for local usage";
    
    a0::usage="a0 for local usage";
    a1::usage="a1 for local usage";
    a2::usage="a2 for local usage";
    
    sTot::usage="";
    sTot3::usage="";
    \[Chi]Tot::usage="";
    
    \[Chi]diffplus::usage="";
    \[Chi]diffstan::usage="";
    
    DataFitFunction::usage="DataFitFunction[data_?ListQ,ansatzList_?ListQ,OptionsPattern[]]";
    
    DataFitFunctionAll::usage="DataFitFunctionAll[dataraw_?ListQ,OptionsPattern[]]";
    DataFitFunctionAllNoWeights::usage="DataFitFunctionAllWeights[dataraw_?ListQ,OptionsPattern[]]";
    
    AnsatzRestrictions::usage="AnsatzRestrictions[nsfit_, q1fit_, ansatzGen_]";
    
    Plot2DFits::usage="Plot2DFits[data_?ListQ,fitlist_?ListQ,fitvars_?ListQ, OptionsPattern[]]";
    myListPlot3D::usage="myListPlot3D[data_?ListQ,options]: Plot 3d data +  interpolated function";
    ColorGradient::usage="ColorGradient[data,colors,options]. Create a linear gradient of colors for the data";
    CreateColors::usage="CreateColors[codes,colors]. Set different colors for each NR code";
    
    CleanAnsatzParams::usage="cleanAnsatzParams[paramsGuess_, vars_]";
    
    Generate1DPolynomialAnsatz::usage="Generate1DPolynomialAnsatz[CoefficientPrefixString_?StringQ,variable_,MinOrder_?IntegerQ,MaxOrder_?IntegerQ] creates a polynomial function ansatz.";
    
    Residuals::usage="Residuals[data_,fit_,vars_] computes fit residuals.";
    AtomsList::usage="Take the coefficients out";
    
    GeneralizeFunction::usage="GeneralizeFunction[expr_,x_] insert free coefficient at all (non-exact) real numbers in a function";
    GeneralizeFunction::usage="GeneralizeFunction[expr_,x_,coord_,orderNum,orderDenom_] insert polynomial with free coefficients at all (non-exact) real numbers in a function";
    
    ExactPade::usage="ExactPade[ansatz_,coeffRules_,padeOptions_] get Pade approximant while keeping exact coefficients fixed.";
    Generate1DPadeAnsatzList::usage="Generate1DPadeAnsatzList[ansatz_,\!\(\*
    StyleBox[\"coeffRules_\", \"Code\"]\)\!\(\*
    StyleBox[\",\", \"Code\"]\)\!\(\*
    StyleBox[\"variable_\", \"Code\"]\)\!\(\*