| 1 | /* ======================================================================== *\ | 
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| 2 | ! | 
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| 3 | ! * | 
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| 4 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction | 
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| 5 | ! * Software. It is distributed to you in the hope that it can be a useful | 
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| 6 | ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes. | 
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| 7 | ! * It is distributed WITHOUT ANY WARRANTY. | 
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| 8 | ! * | 
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| 9 | ! * Permission to use, copy, modify and distribute this software and its | 
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| 10 | ! * documentation for any purpose is hereby granted without fee, | 
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| 11 | ! * provided that the above copyright notice appear in all copies and | 
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| 12 | ! * that both that copyright notice and this permission notice appear | 
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| 13 | ! * in supporting documentation. It is provided "as is" without express | 
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| 14 | ! * or implied warranty. | 
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| 15 | ! * | 
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| 16 | ! | 
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| 17 | ! | 
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| 18 | !   Author(s): Javier López , 4/2004 <mailto:jlopez@ifae.es> | 
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| 19 | ! | 
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| 20 | !   Copyright: MAGIC Software Development, 2000-2004 | 
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| 21 | ! | 
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| 22 | ! | 
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| 23 | \* ======================================================================== */ | 
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| 24 | #include "MPSFFitCalc.h" | 
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| 25 |  | 
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| 26 | #include <iostream> | 
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| 27 |  | 
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| 28 |  | 
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| 29 | #include <TH1D.h> | 
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| 30 | #include <TString.h> | 
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| 31 | #include <TArrayS.h> | 
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| 32 | #include <TArrayI.h> | 
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| 33 | #include <TArrayD.h> | 
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| 34 | #include <TMinuit.h> | 
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| 35 | #include <TStopwatch.h> | 
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| 36 |  | 
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| 37 | #include "MGeomPix.h" | 
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| 38 | #include "MGeomCam.h" | 
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| 39 | #include "MMinuitInterface.h" | 
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| 40 |  | 
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| 41 | #include "MLog.h" | 
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| 42 | #include "MLogManip.h" | 
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| 43 |  | 
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| 44 | #include "MParList.h" | 
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| 45 |  | 
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| 46 | ClassImp(MPSFFitCalc); | 
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| 47 |  | 
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| 48 | using namespace std; | 
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| 49 |  | 
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| 50 |  | 
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| 51 | const Int_t numVar = 5; | 
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| 52 | const Float_t pixelSize = 31.5; //[mm] | 
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| 53 | const Float_t sqrt2 = sqrt(2.); | 
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| 54 | const Float_t sqrt3 = sqrt(3.); | 
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| 55 | const Bool_t usePrintOut = kTRUE; | 
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| 56 | const Int_t minuitPrintOut = 0; | 
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| 57 |  | 
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| 58 | UInt_t  numPixels; | 
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| 59 | Bool_t  isPixelUsed[577]; | 
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| 60 | UInt_t  numPixelsUsed; | 
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| 61 | Float_t pixelPosX[577]; | 
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| 62 | Float_t pixelPosY[577]; | 
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| 63 | Float_t pixelValue[577]; | 
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| 64 | Float_t ChiSquare; | 
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| 65 |  | 
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| 66 | MPSFFitCalc::MPSFFitCalc(ImgCleanMode_t imgmode, const char *name, const char *title) | 
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| 67 | { | 
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| 68 | fName  = name  ? name  : "MPSFFitCalc"; | 
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| 69 | fTitle = title ? title : "Task that fits the PSF using the dc readout of the camera."; | 
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| 70 |  | 
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| 71 | fImgCleanMode = imgmode; | 
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| 72 | fNumRings     = 6; | 
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| 73 | fPedLevel     = 3.0; | 
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| 74 |  | 
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| 75 |  | 
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| 76 | // Initialization of the camera dc mask 'fIsPixelused[]' | 
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| 77 | numPixels = 577; | 
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| 78 | for (UInt_t pixid=0; pixid<numPixels; pixid++) | 
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| 79 | isPixelUsed[pixid] = kTRUE; | 
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| 80 |  | 
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| 81 | fTotalMeanFit.Reset(); | 
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| 82 | fNumTotalMeanFits = 0; | 
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| 83 |  | 
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| 84 | fMaxDC = 30.; | 
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| 85 |  | 
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| 86 | fPedestalDCHist = new TH1D("ped","",(Int_t)fMaxDC*10,0.,fMaxDC); | 
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| 87 |  | 
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| 88 | fVname = new TString[numVar]; | 
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| 89 | fVinit.Set(numVar); | 
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| 90 | fStep.Set(numVar); | 
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| 91 | fLimlo.Set(numVar); | 
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| 92 | fLimup.Set(numVar); | 
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| 93 | fFix.Set(numVar); | 
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| 94 |  | 
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| 95 |  | 
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| 96 | fVname[0] = "max"; | 
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| 97 | fVinit[0] = fMaxDC; | 
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| 98 | fStep[0]  = fVinit[0]/sqrt2; | 
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| 99 | fLimlo[0] = 1.; | 
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| 100 | fLimup[0] = 40.; | 
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| 101 | fFix[0]   = 0; | 
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| 102 |  | 
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| 103 | fVname[1] = "meanminor"; | 
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| 104 | fVinit[1] = 0.; | 
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| 105 | fStep[1]  = fVinit[0]/sqrt2; | 
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| 106 | fLimlo[1] = -600.; | 
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| 107 | fLimup[1] = 600.; | 
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| 108 | fFix[1]   = 0; | 
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| 109 |  | 
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| 110 | fVname[2] = "sigmaminor"; | 
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| 111 | fVinit[2] = pixelSize; | 
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| 112 | fStep[2]  = fVinit[0]/sqrt2; | 
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| 113 | fLimlo[2] = pixelSize/(2*sqrt3); | 
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| 114 | fLimup[2] = 500.; | 
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| 115 | fFix[2]   = 0; | 
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| 116 |  | 
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| 117 | fVname[3] = "meanmajor"; | 
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| 118 | fVinit[3] = 0.; | 
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| 119 | fStep[3]  = fVinit[0]/sqrt2; | 
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| 120 | fLimlo[3] = -600.; | 
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| 121 | fLimup[3] = 600.; | 
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| 122 | fFix[3]   = 0; | 
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| 123 |  | 
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| 124 | fVname[4] = "sigmamajor"; | 
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| 125 | fVinit[4] = pixelSize; | 
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| 126 | fStep[4]  = fVinit[0]/sqrt2; | 
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| 127 | fLimlo[4] = pixelSize/(2*sqrt3); | 
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| 128 | fLimup[4] = 500.; | 
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| 129 | fFix[4]   = 0; | 
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| 130 |  | 
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| 131 | fObjectFit  = NULL; | 
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| 132 | //    fMethod     = "SIMPLEX"; | 
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| 133 | fMethod     = "MIGRAD"; | 
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| 134 | fNulloutput = kFALSE; | 
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| 135 | } | 
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| 136 |  | 
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| 137 | MPSFFitCalc::~MPSFFitCalc() | 
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| 138 | { | 
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| 139 | delete fPedestalDCHist; | 
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| 140 | } | 
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| 141 |  | 
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| 142 | //______________________________________________________________________________ | 
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| 143 | // | 
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| 144 | // The 2D gaussian fucntion used to fit the spot of the star | 
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| 145 | // | 
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| 146 | static Double_t func(float x,float y,Double_t *par) | 
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| 147 | { | 
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| 148 | Double_t value=par[0]*exp(-(x-par[1])*(x-par[1])/(2*par[2]*par[2]))*exp(-(y-par[3])*(y-par[3])/(2*par[4]*par[4])); | 
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| 149 | return value; | 
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| 150 | } | 
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| 151 |  | 
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| 152 | //______________________________________________________________________________ | 
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| 153 | // | 
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| 154 | // Function used by Minuit to do the fit | 
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| 155 | // | 
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| 156 | static void fcnPSF(Int_t &npar, Double_t *gin, Double_t &f, Double_t *par, Int_t iflag) | 
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| 157 | { | 
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| 158 |  | 
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| 159 | //calculate chisquare | 
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| 160 | Double_t chisq = 0; | 
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| 161 | Double_t delta; | 
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| 162 | Double_t x,y,z; | 
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| 163 | Double_t errorz = 0.2; //[uA] | 
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| 164 |  | 
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| 165 |  | 
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| 166 | for (UInt_t pixid=1; pixid<numPixels; pixid++) | 
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| 167 | { | 
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| 168 |  | 
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| 169 | if (isPixelUsed[pixid] && pixelValue[pixid]>0.) | 
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| 170 | { | 
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| 171 | x = pixelPosX[pixid]; | 
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| 172 | y = pixelPosY[pixid]; | 
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| 173 | z = pixelValue[pixid]; | 
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| 174 |  | 
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| 175 | if (errorz > 0.0) | 
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| 176 | { | 
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| 177 | delta  = (z-func(x,y,par))/errorz; | 
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| 178 | chisq += delta*delta; | 
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| 179 | } | 
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| 180 | else | 
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| 181 | cerr << "ERROR fcnPSF: This should never happen errorz[" << pixid << "] " << errorz << endl; | 
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| 182 | } | 
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| 183 | } | 
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| 184 | f = chisq; | 
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| 185 | ChiSquare = chisq; | 
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| 186 |  | 
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| 187 | } | 
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| 188 |  | 
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| 189 |  | 
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| 190 | void MPSFFitCalc::InitFitVariables() | 
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| 191 | { | 
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| 192 |  | 
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| 193 | for (UInt_t pixid=1; pixid<577; pixid++) | 
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| 194 | pixelValue[pixid]=(Float_t)((*fCamera)[pixid]); | 
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| 195 |  | 
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| 196 | numPixelsUsed = 0; | 
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| 197 | Float_t totalDC = 0.0; | 
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| 198 |  | 
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| 199 | fVinit[0] = fMaxDC; | 
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| 200 |  | 
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| 201 | if(usePrintOut) | 
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| 202 | *fLog << dbg << "Pixels used in the fit \t"; | 
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| 203 |  | 
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| 204 | for (UInt_t idx=0; idx<numPixels; idx++) | 
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| 205 | { | 
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| 206 | if (isPixelUsed[idx]) | 
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| 207 | { | 
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| 208 | fVinit[1] += pixelPosX[idx]*pixelValue[idx]; | 
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| 209 | fVinit[3] += pixelPosY[idx]*pixelValue[idx]; | 
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| 210 | totalDC += pixelValue[idx]; | 
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| 211 | numPixelsUsed++; | 
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| 212 |  | 
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| 213 | if(usePrintOut) | 
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| 214 | *fLog << dbg << ' ' << idx; | 
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| 215 | } | 
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| 216 | } | 
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| 217 | if(usePrintOut) | 
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| 218 | *fLog << dbg << endl; | 
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| 219 |  | 
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| 220 |  | 
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| 221 | fVinit[1] /= totalDC; | 
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| 222 | fVinit[3] /= totalDC; | 
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| 223 |  | 
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| 224 |  | 
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| 225 | fVinit[2] = pixelSize*sqrt((Float_t)numPixelsUsed)/2; | 
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| 226 | fVinit[4] = pixelSize*sqrt((Float_t)numPixelsUsed)/3; | 
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| 227 |  | 
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| 228 | //Init steps | 
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| 229 |  | 
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| 230 | for(Int_t i=0; i<numVar; i++) | 
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| 231 | if (fVinit[i] != 0) | 
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| 232 | fStep[i] = TMath::Abs(fVinit[i]/sqrt2); | 
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| 233 |  | 
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| 234 |  | 
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| 235 | for (UInt_t pixidx=0; pixidx<numPixels; pixidx++) | 
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| 236 | if ( (*fGeomCam)[pixidx].GetSector() == 6) | 
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| 237 | fPedestalDCHist->Fill(pixelValue[pixidx]); | 
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| 238 |  | 
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| 239 | fPedestalDC = fPedestalDCHist->GetBinCenter(fPedestalDCHist->GetMaximumBin()); | 
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| 240 |  | 
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| 241 | for (UInt_t pixid=1; pixid<577; pixid++) | 
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| 242 | pixelValue[pixid]-=fPedestalDC; | 
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| 243 |  | 
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| 244 | if(usePrintOut) | 
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| 245 | { | 
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| 246 | *fLog << dbg << "numPixelsUsed \t" << numPixelsUsed << endl; | 
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| 247 | *fLog << dbg << "fPedestalDC \t" << fPedestalDC << endl; | 
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| 248 | *fLog << dbg << "Maximun DC Init. value \t" << fVinit[0] << endl; | 
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| 249 | *fLog << dbg << "Mean Minor Axis Init. value \t" << fVinit[1] << " mm\t"; | 
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| 250 | *fLog << dbg << "Sigma Minor Axis Init. value \t" << fVinit[2] << endl; | 
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| 251 | *fLog << dbg << "Mean Major Axis Init. value \t" << fVinit[3] << " mm\t"; | 
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| 252 | *fLog << dbg << "Sigma Major Axis Init. value \t" << fVinit[4] << endl; | 
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| 253 | } | 
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| 254 | } | 
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| 255 |  | 
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| 256 | void MPSFFitCalc::RingImgClean() | 
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| 257 | { | 
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| 258 |  | 
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| 259 | Bool_t  isPixelUsedTmp[577]; | 
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| 260 |  | 
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| 261 | fMaxDC=0; | 
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| 262 | UInt_t maxDCpix[2]; | 
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| 263 |  | 
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| 264 |  | 
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| 265 | // Look for the two neighbor pixels with the maximun signal and set all pixels as unused | 
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| 266 | Float_t dc[2]; | 
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| 267 | Float_t dcsum; | 
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| 268 |  | 
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| 269 | // Find the two close pixels with the maximun dc | 
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| 270 | for(UInt_t pixidx=0; pixidx<numPixels; pixidx++) | 
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| 271 | { | 
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| 272 |  | 
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| 273 | if(isPixelUsed[pixidx]) | 
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| 274 | { | 
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| 275 | dc[0] = (Float_t)(*fCamera)[pixidx]; | 
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| 276 | isPixelUsedTmp[pixidx] = kFALSE; | 
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| 277 |  | 
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| 278 | MGeomPix g = (*fGeomCam)[pixidx]; | 
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| 279 | Int_t numNextNeighbors = g.GetNumNeighbors(); | 
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| 280 |  | 
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| 281 | for(Int_t nextNeighbor=0; nextNeighbor<numNextNeighbors; nextNeighbor++) | 
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| 282 | { | 
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| 283 | if(isPixelUsed[pixidx]) | 
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| 284 | { | 
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| 285 | UInt_t swneighbor = g.GetNeighbor(nextNeighbor); | 
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| 286 | dc[1] = (Float_t)(*fCamera)[swneighbor]; | 
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| 287 |  | 
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| 288 | dcsum = dc[0] + dc[1]; | 
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| 289 |  | 
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| 290 | if(dcsum > fMaxDC*2) | 
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| 291 | { | 
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| 292 | maxDCpix[0] = pixidx; | 
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| 293 | maxDCpix[1] = swneighbor; | 
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| 294 | fMaxDC = dcsum/2; | 
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| 295 | } | 
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| 296 | } | 
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| 297 | } | 
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| 298 | } | 
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| 299 | } | 
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| 300 |  | 
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| 301 | // Those variables are: | 
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| 302 | // 1. an array of 2 dimensions | 
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| 303 | //    1.1 the first dimension store the ring around the 'maxiun signal pixel' | 
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| 304 | //    1.2 the sw numbers of the pixels in this ring | 
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| 305 | // 2. an array with the number of pixels in each ring | 
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| 306 | UInt_t isPixelUesdInRing[fNumRings][577]; | 
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| 307 | UInt_t numPixelsUsedInRing[fNumRings]; | 
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| 308 |  | 
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| 309 | // Store the 'maximun signal pixel in the [0] ring and set it as used | 
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| 310 |  | 
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| 311 | for (Int_t core=0; core<2; core++) | 
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| 312 | { | 
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| 313 | isPixelUesdInRing[0][0] = maxDCpix[core]; | 
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| 314 | numPixelsUsedInRing[0] = 1; | 
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| 315 | isPixelUsedTmp[isPixelUesdInRing[0][0]] = kTRUE; | 
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| 316 |  | 
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| 317 | UInt_t count; | 
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| 318 |  | 
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| 319 | // Loop over the neighbors of the previus ring and store the sw numbers in the 2D array to be | 
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| 320 | // use in the next loop/ring | 
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| 321 | for (UShort_t ring=0; ring<fNumRings-1; ring++) | 
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| 322 | { | 
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| 323 | count = 0;  // In this variable we count the pixels we are in each ring | 
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| 324 | for(UInt_t nextPixelUsed=0; nextPixelUsed<numPixelsUsedInRing[ring]; nextPixelUsed++) | 
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| 325 | { | 
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| 326 | MGeomPix g = (*fGeomCam)[isPixelUesdInRing[ring][nextPixelUsed]]; | 
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| 327 | Int_t numNextNeighbors = g.GetNumNeighbors(); | 
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| 328 | for(Int_t nextNeighbor=0; nextNeighbor<numNextNeighbors; nextNeighbor++) | 
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| 329 | { | 
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| 330 | UInt_t swneighbor = g.GetNeighbor(nextNeighbor); | 
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| 331 | if (!isPixelUsedTmp[swneighbor]) | 
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| 332 | { | 
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| 333 | isPixelUsedTmp[swneighbor] = kTRUE; | 
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| 334 | isPixelUesdInRing[ring+1][count] = swneighbor; | 
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| 335 | count++; | 
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| 336 | } | 
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| 337 | } | 
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| 338 | numPixelsUsedInRing[ring+1] = count; | 
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| 339 | } | 
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| 340 | } | 
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| 341 |  | 
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| 342 |  | 
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| 343 | if(usePrintOut) | 
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| 344 | { | 
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| 345 | for (UInt_t row=0; row<fNumRings; row++) | 
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| 346 | { | 
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| 347 |  | 
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| 348 | *fLog << dbg  << "fIsPixeUsed[" << row << "][" << numPixelsUsedInRing[row] << "] "; | 
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| 349 | for (UInt_t column=0; column<numPixelsUsedInRing[row]; column++) | 
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| 350 | *fLog << dbg << isPixelUesdInRing[row][column] << ' '; | 
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| 351 | *fLog << dbg << endl; | 
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| 352 | } | 
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| 353 | } | 
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| 354 | } | 
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| 355 |  | 
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| 356 |  | 
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| 357 | for(UInt_t pixidx=0; pixidx<numPixels; pixidx++) | 
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| 358 | { | 
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| 359 | if(isPixelUsed[pixidx] && isPixelUsedTmp[pixidx]) | 
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| 360 | isPixelUsed[pixidx] = kTRUE; | 
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| 361 | else | 
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| 362 | isPixelUsed[pixidx] = kFALSE; | 
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| 363 | } | 
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| 364 |  | 
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| 365 | } | 
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| 366 |  | 
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| 367 | void MPSFFitCalc::RmsImgClean(Float_t pedestal) | 
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| 368 | {} | 
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| 369 |  | 
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| 370 | void MPSFFitCalc::MaskImgClean(TArrayS blindpixels) | 
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| 371 | { | 
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| 372 |  | 
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| 373 | Int_t npix = blindpixels.GetSize(); | 
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| 374 |  | 
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| 375 | for (Int_t idx=0; idx<npix; idx++) | 
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| 376 | isPixelUsed[blindpixels[idx]] = kFALSE; | 
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| 377 |  | 
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| 378 | } | 
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| 379 |  | 
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| 380 | // -------------------------------------------------------------------------- | 
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| 381 | // | 
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| 382 | // The PreProcess searches for the following input containers: | 
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| 383 | //  - MCameraDC | 
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| 384 | // | 
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| 385 | // The following output containers are also searched and created if | 
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| 386 | // they were not found: | 
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| 387 | // | 
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| 388 | //  - MPSFFit | 
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| 389 | // | 
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| 390 | Int_t MPSFFitCalc::PreProcess(MParList *pList) | 
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| 391 | { | 
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| 392 |  | 
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| 393 | fGeomCam = (MGeomCam*)pList->FindObject(AddSerialNumber("MGeomCam")); | 
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| 394 |  | 
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| 395 | if (!fGeomCam) | 
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| 396 | { | 
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| 397 | *fLog << err << AddSerialNumber("MGeomCam") << " not found ... aborting" << endl; | 
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| 398 | return kFALSE; | 
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| 399 | } | 
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| 400 |  | 
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| 401 | // Initialize positions of the pixels to be used in the minuit minimizations | 
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| 402 |  | 
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| 403 | for (UInt_t pixid=1; pixid<577; pixid++) | 
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| 404 | { | 
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| 405 | MGeomPix &pix=(*fGeomCam)[pixid]; | 
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| 406 | pixelPosX[pixid] = pix.GetX(); | 
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| 407 | pixelPosY[pixid] = pix.GetY(); | 
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| 408 | } | 
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| 409 |  | 
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| 410 | fCamera = (MCameraDC*)pList->FindObject(AddSerialNumber("MCameraDC")); | 
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| 411 |  | 
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| 412 | if (!fCamera) | 
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| 413 | { | 
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| 414 | *fLog << err << AddSerialNumber("MCameraDC") << " not found ... aborting" << endl; | 
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| 415 | return kFALSE; | 
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| 416 | } | 
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| 417 |  | 
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| 418 | fFit = (MPSFFit*)pList->FindCreateObj(AddSerialNumber("MPSFFit")); | 
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| 419 | if (!fFit) | 
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| 420 | { | 
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| 421 | *fLog << err << AddSerialNumber("MPSFFit") << " cannot be created ... aborting" << endl; | 
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| 422 | return kFALSE; | 
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| 423 | } | 
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| 424 |  | 
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| 425 | // Minuit initialization | 
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| 426 |  | 
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| 427 | TMinuit *gMinuit = new TMinuit(6);  //initialize TMinuit with a maximum of 5 params | 
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| 428 | gMinuit->SetFCN(fcnPSF); | 
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| 429 |  | 
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| 430 | Double_t arglist[10]; | 
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| 431 | Int_t ierflg = 0; | 
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| 432 |  | 
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| 433 | arglist[0] = 1; | 
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| 434 | gMinuit->mnexcm("SET ERR", arglist ,1,ierflg); | 
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| 435 | arglist[0] = minuitPrintOut; | 
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| 436 | gMinuit->mnexcm("SET PRI", arglist ,1,ierflg); | 
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| 437 |  | 
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| 438 | return kTRUE; | 
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| 439 |  | 
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| 440 | } | 
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| 441 |  | 
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| 442 | Int_t MPSFFitCalc::Process() | 
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| 443 | { | 
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| 444 |  | 
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| 445 | // ------------------------------------------ | 
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| 446 | // image cleaning | 
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| 447 |  | 
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| 448 | switch(fImgCleanMode) | 
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| 449 | { | 
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| 450 | case kRing: | 
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| 451 | { | 
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| 452 | RingImgClean(); | 
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| 453 | break; | 
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| 454 | } | 
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| 455 | case kRms: | 
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| 456 | { | 
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| 457 | RmsImgClean(fPedLevel); | 
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| 458 | break; | 
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| 459 | } | 
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| 460 | case kMask: | 
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| 461 | { | 
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| 462 | MaskImgClean(fBlindPixels); | 
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| 463 | break; | 
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| 464 | } | 
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| 465 | case kCombined: | 
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| 466 | { | 
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| 467 | MaskImgClean(fBlindPixels); | 
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| 468 | RingImgClean(); | 
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| 469 | MaskImgClean(fBlindPixels); | 
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| 470 | break; | 
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| 471 | } | 
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| 472 | default: | 
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| 473 | { | 
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| 474 | *fLog << err << "Image Cleaning mode " << fImgCleanMode << " not defined" << endl; | 
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| 475 | return kFALSE; | 
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| 476 | } | 
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| 477 | } | 
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| 478 |  | 
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| 479 | InitFitVariables(); | 
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| 480 |  | 
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| 481 | // ------------------------------------------- | 
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| 482 | // call MINUIT | 
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| 483 |  | 
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| 484 | Double_t arglist[10]; | 
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| 485 | Int_t ierflg = 0; | 
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| 486 |  | 
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| 487 | for (Int_t i=0; i<numVar; i++) | 
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| 488 | gMinuit->mnparm(i, fVname[i], fVinit[i], fStep[i], fLimlo[i], fLimup[i], ierflg); | 
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| 489 |  | 
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| 490 | TStopwatch clock; | 
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| 491 | clock.Start(); | 
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| 492 |  | 
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| 493 | // Now ready for minimization step | 
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| 494 | arglist[0] = 500; | 
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| 495 | arglist[1] = 1.; | 
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| 496 | gMinuit->mnexcm(fMethod, arglist ,2,ierflg); | 
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| 497 |  | 
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| 498 | clock.Stop(); | 
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| 499 |  | 
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| 500 | if(usePrintOut) | 
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| 501 | { | 
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| 502 | *fLog << dbg << "Time spent for the minimization in MINUIT :   " << endl;; | 
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| 503 | clock.Print(); | 
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| 504 | } | 
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| 505 |  | 
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| 506 | if (ierflg) | 
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| 507 | { | 
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| 508 | *fLog << err << "MMinuitInterface::CallMinuit error " << ierflg << endl; | 
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| 509 | return kCONTINUE; | 
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| 510 | } | 
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| 511 |  | 
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| 512 | fNumTotalMeanFits++; | 
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| 513 |  | 
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| 514 | Double_t parm,parmerr; | 
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| 515 |  | 
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| 516 | gMinuit->GetParameter(0,parm,parmerr); | 
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| 517 | fFit->SetMaximun(parm); | 
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| 518 | fTotalMeanFit.SetMaximun(fTotalMeanFit.GetMaximun()+parm); | 
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| 519 |  | 
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| 520 | gMinuit->GetParameter(1,parm,parmerr); | 
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| 521 | fFit->SetMeanMinorAxis(parm); | 
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| 522 | fTotalMeanFit.SetMeanMinorAxis(fTotalMeanFit.GetMeanMinorAxis()+parm); | 
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| 523 |  | 
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| 524 | gMinuit->GetParameter(2,parm,parmerr); | 
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| 525 | fFit->SetSigmaMinorAxis(parm); | 
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| 526 | fTotalMeanFit.SetSigmaMinorAxis(fTotalMeanFit.GetSigmaMinorAxis()+parm); | 
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| 527 |  | 
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| 528 | gMinuit->GetParameter(3,parm,parmerr); | 
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| 529 | fFit->SetMeanMajorAxis(parm); | 
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| 530 | fTotalMeanFit.SetMeanMajorAxis(fTotalMeanFit.GetMeanMajorAxis()+parm); | 
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| 531 |  | 
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| 532 | gMinuit->GetParameter(4,parm,parmerr); | 
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| 533 | fFit->SetSigmaMajorAxis(parm); | 
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| 534 | fTotalMeanFit.SetSigmaMajorAxis(fTotalMeanFit.GetSigmaMajorAxis()+parm); | 
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| 535 |  | 
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| 536 | fFit->SetChisquare(ChiSquare/(numPixelsUsed-numVar)); | 
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| 537 | fTotalMeanFit.SetChisquare(fTotalMeanFit.GetChisquare()+ChiSquare/(numPixelsUsed-numVar)); | 
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| 538 |  | 
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| 539 | if(usePrintOut) | 
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| 540 | { | 
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| 541 | fFit->Print(); | 
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| 542 | fTotalMeanFit.Print(); | 
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| 543 | } | 
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| 544 |  | 
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| 545 | return kTRUE; | 
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| 546 | } | 
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| 547 |  | 
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| 548 | Int_t MPSFFitCalc::PostProcess() | 
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| 549 | { | 
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| 550 |  | 
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| 551 | fTotalMeanFit.SetMaximun(fTotalMeanFit.GetMaximun()/fNumTotalMeanFits); | 
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| 552 | fTotalMeanFit.SetMeanMinorAxis(fTotalMeanFit.GetMeanMinorAxis()/fNumTotalMeanFits); | 
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| 553 | fTotalMeanFit.SetSigmaMinorAxis(fTotalMeanFit.GetSigmaMinorAxis()/fNumTotalMeanFits); | 
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| 554 | fTotalMeanFit.SetMeanMajorAxis(fTotalMeanFit.GetMeanMajorAxis()/fNumTotalMeanFits); | 
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| 555 | fTotalMeanFit.SetSigmaMajorAxis(fTotalMeanFit.GetSigmaMajorAxis()/fNumTotalMeanFits); | 
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| 556 | fTotalMeanFit.SetChisquare(fTotalMeanFit.GetChisquare()/fNumTotalMeanFits); | 
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| 557 |  | 
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| 558 | fFit->SetMaximun(fTotalMeanFit.GetMaximun()); | 
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| 559 | fFit->SetMeanMinorAxis(fTotalMeanFit.GetMeanMinorAxis()); | 
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| 560 | fFit->SetSigmaMinorAxis(fTotalMeanFit.GetSigmaMinorAxis()); | 
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| 561 | fFit->SetMeanMajorAxis(fTotalMeanFit.GetMeanMajorAxis()); | 
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| 562 | fFit->SetSigmaMajorAxis(fTotalMeanFit.GetSigmaMajorAxis()); | 
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| 563 | fFit->SetChisquare(fTotalMeanFit.GetChisquare()); | 
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| 564 |  | 
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| 565 | if(usePrintOut) | 
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| 566 | fTotalMeanFit.Print(); | 
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| 567 |  | 
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| 568 | return kTRUE; | 
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| 569 | } | 
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