/* ======================================================================== *\ ! ! * ! * This file is part of MARS, the MAGIC Analysis and Reconstruction ! * Software. It is distributed to you in the hope that it can be a useful ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes. ! * It is distributed WITHOUT ANY WARRANTY. ! * ! * Permission to use, copy, modify and distribute this software and its ! * documentation for any purpose is hereby granted without fee, ! * provided that the above copyright notice appear in all copies and ! * that both that copyright notice and this permission notice appear ! * in supporting documentation. It is provided "as is" without express ! * or implied warranty. ! * ! ! ! Author(s): Wolfgang Wittek, 06/2003 ! ! Copyright: MAGIC Software Development, 2000-2003 ! ! \* ======================================================================== */ ///////////////////////////////////////////////////////////////////////////// // // MCT1PadONOFF // // This task applies padding such that for a given pixel and for a given // Theta bin the resulting distribution of the pedestal sigma is identical // to the distributions given by fHSigmaPixTheta and fHDiffPixTheta. // // The number of photons, its error and the pedestal sigmas are altered. // On average, the number of photons added is zero. // // The formulas used can be found in Thomas Schweizer's Thesis, // Section 2.2.1 // // There are 2 options for the padding : // // 1) fPadFlag = 1 : // Generate first a Sigmabar using the 2D-histogram Sigmabar vs. Theta // (fHSigmaTheta). Then generate a pedestal sigma for each pixel using // the 3D-histogram Theta, pixel no., Sigma^2-Sigmabar^2 // (fHDiffPixTheta). // // This is the preferred option as it takes into account the // correlations between the Sigma of a pixel and Sigmabar. // // 2) fPadFlag = 2 : // Generate a pedestal sigma for each pixel using the 3D-histogram // Theta, pixel no., Sigma (fHSigmaPixTheta). // // // The padding has to be done before the image cleaning because the // image cleaning depends on the pedestal sigmas. // // For random numbers gRandom is used. // // This implementation has been tested for CT1 data. For MAGIC some // modifications are necessary. // ///////////////////////////////////////////////////////////////////////////// #include "MCT1PadONOFF.h" #include #include #include #include #include #include #include #include #include "MBinning.h" #include "MSigmabar.h" #include "MMcEvt.hxx" #include "MLog.h" #include "MLogManip.h" #include "MParList.h" #include "MGeomCam.h" #include "MCerPhotPix.h" #include "MCerPhotEvt.h" #include "MPedestalCam.h" #include "MPedestalPix.h" #include "MBlindPixels.h" #include "MRead.h" #include "MFilterList.h" #include "MTaskList.h" #include "MBlindPixelCalc.h" #include "MHBlindPixels.h" #include "MFillH.h" #include "MHSigmaTheta.h" #include "MEvtLoop.h" ClassImp(MCT1PadONOFF); using namespace std; // -------------------------------------------------------------------------- // // Default constructor. // MCT1PadONOFF::MCT1PadONOFF(const char *name, const char *title) { fName = name ? name : "MCT1PadONOFF"; fTitle = title ? title : "Task for the ON-OFF padding"; fPadFlag = 1; *fLog << "MCT1PadONOFF: fPadFlag = " << fPadFlag << endl; fType = ""; fHSigmaTheta = NULL; fHSigmaThetaON = NULL; fHSigmaThetaOFF = NULL; fHSigmaPixTheta = NULL; fHSigmaPixThetaON = NULL; fHSigmaPixThetaOFF = NULL; fHDiffPixTheta = NULL; fHDiffPixThetaON = NULL; fHDiffPixThetaOFF = NULL; fHgON = NULL; fHgOFF = NULL; fHBlindPixIdTheta = NULL; fHBlindPixNTheta = NULL; fHSigmaPedestal = NULL; fHPhotons = NULL; fHNSB = NULL; } // -------------------------------------------------------------------------- // // Destructor. // MCT1PadONOFF::~MCT1PadONOFF() { if (fHBlindPixIdTheta != NULL) delete fHBlindPixIdTheta; if (fHBlindPixNTheta != NULL) delete fHBlindPixNTheta; if (fHSigmaTheta != NULL) delete fHSigmaTheta; if (fHSigmaPixTheta != NULL) delete fHSigmaPixTheta; if (fHDiffPixTheta != NULL) delete fHDiffPixTheta; if (fHSigmaPedestal != NULL) delete fHSigmaPedestal; if (fHPhotons != NULL) delete fHPhotons; if (fHNSB != NULL) delete fHNSB; if (fInfile != NULL) delete fInfile; } // -------------------------------------------------------------------------- // // Merge the distributions of ON and OFF data // // fHSigmaTheta 2D-histogram (Theta, sigmabar) // fHSigmaPixTheta 3D-hiostogram (Theta, pixel, sigma) // fHDiffPixTheta 3D-histogram (Theta, pixel, sigma^2-sigmabar^2) // fHBlindPixIdTheta 2D-histogram (Theta, blind pixel Id) // fHBlindPixNTheta 2D-histogram (Theta, no.of blind pixels ) // // and define the target distributions for the padding // Bool_t MCT1PadONOFF::MergeHistograms(TH2D *sigthon, TH2D *sigthoff, TH3D *sigpixthon, TH3D *sigpixthoff, TH3D *diffpixthon, TH3D *diffpixthoff, TH2D *blindidthon, TH2D *blindidthoff, TH2D *blindnthon, TH2D *blindnthoff) { *fLog << "----------------------------------------------------------------------------------" << endl; *fLog << "Merge the ON and OFF histograms to obtain the target distributions for the padding" << endl; //------------------------------------------------------------- // merge the distributions of ON and OFF events // to obtain the target distribution fHSigmaTheta // Double_t eps = 1.e-10; fHSigmaTheta = new TH2D( (TH2D&)*sigthon ); fHSigmaTheta->SetNameTitle("2D-ThetaSigmabar", "2D-ThetaSigmabar (target)"); // get binning for fHgON and fHgOFF from sigthon // binning in Theta TAxis *ax = sigthon->GetXaxis(); Int_t nbinstheta = ax->GetNbins(); TArrayD edgesx; edgesx.Set(nbinstheta+1); for (Int_t i=0; i<=nbinstheta; i++) { edgesx[i] = ax->GetBinLowEdge(i+1); //*fLog << "i, theta low edge = " << i << ", " << edgesx[i] << endl; } MBinning binth; binth.SetEdges(edgesx); // binning in sigmabar TAxis *ay = sigthon->GetYaxis(); Int_t nbinssig = ay->GetNbins(); TArrayD edgesy; edgesy.Set(nbinssig+1); for (Int_t i=0; i<=nbinssig; i++) { edgesy[i] = ay->GetBinLowEdge(i+1); //*fLog << "i, sigmabar low edge = " << i << ", " << edgesy[i] << endl; } MBinning binsg; binsg.SetEdges(edgesy); fHgON = new TH3D; MH::SetBinning(fHgON, &binth, &binsg, &binsg); fHgON->SetNameTitle("3D-PaddingMatrixON", "3D-PadMatrixThetaON"); fHgOFF = new TH3D; MH::SetBinning(fHgOFF, &binth, &binsg, &binsg); fHgOFF->SetNameTitle("3D-PaddingMatrixOFF", "3D-PadMatrixThetaOFF"); //............ loop over Theta bins ........................... // hista is the normalized 1D histogram of sigmabar for ON data // histb is the normalized 1D histogram of sigmabar for OFF data // histc is the difference ON-OFF // at the beginning, histap is a copy of hista // at the end, it will be the 1D histogram for ON data after padding // at the beginning, histbp is a copy of histb // at the end, it will be the 1D histogram for OFF data after padding // at the beginning, histcp is a copy of histc // at the end, it should be zero *fLog << "MCT1PadONOFF::MergeHistograms; bins of Theta, Sigmabarold, Sigmabarnew, fraction of events to be padded" << endl; for (Int_t l=1; l<=nbinstheta; l++) { TH1D *hista = sigthon->ProjectionY("sigon_y", l, l, ""); Stat_t suma = hista->Integral(); hista->Scale(1./suma); TH1D *histap = new TH1D( (const TH1D&)*hista ); TH1D *histb = sigthoff->ProjectionY("sigoff_y", l, l, ""); Stat_t sumb = histb->Integral(); histb->Scale(1./sumb); TH1D *histbp = new TH1D( (const TH1D&)*histb ); TH1D *histc = new TH1D( (const TH1D&)*hista ); histc->Add(histb, -1.0); TH1D *histcp = new TH1D( (const TH1D&)*histc ); // calculate matrix g // fHg[k][j] (if <0.0) tells how many ON events in bin k should be padded // from sigma_k to sigma_j // fHg[k][j] (if >0.0) tells how many OFF events in bin k should be padded // from sigma_k to sigma_j //-------- start j loop ------------------------------------------------ // loop over bins in histc, starting from the end Double_t v, s, w, t, x, u, a, b, c, arg; for (Int_t j=nbinssig; j >= 1; j--) { v = histcp->GetBinContent(j); if ( fabs(v) < eps ) continue; if (v >= 0.0) s = 1.0; else s = -1.0; //................ start k loop ...................................... // look for a bin k which may compensate the content of bin j for (Int_t k=j-1; k >= 1; k--) { w = histcp->GetBinContent(k); if ( fabs(w) < eps ) continue; if (w >= 0.0) t = 1.0; else t = -1.0; if (s==t) continue; x = v + w; if (x >= 0.0) u = 1.0; else u = -1.0; if (u == s) { arg = -w; if (arg <=0.0) { fHgON->SetBinContent (l, k, j, -arg); fHgOFF->SetBinContent(l, k, j, 0.0); } else { fHgON->SetBinContent (l, k, j, 0.0); fHgOFF->SetBinContent(l, k, j, arg); } *fLog << "l, k, j, arg = " << l << ", " << k << ", " << j << ", " << arg << endl; // g(k-1, j-1) = arg; //cout << "k-1, j-1, arg = " << k-1 << ", " << j-1 << ", " // << arg << endl; //...................................... // this is for checking the procedure if (arg < 0.0) { a = histap->GetBinContent(k); histap->SetBinContent(k, a+arg); a = histap->GetBinContent(j); histap->SetBinContent(j, a-arg); } else { b = histbp->GetBinContent(k); histbp->SetBinContent(k, b-arg); b = histbp->GetBinContent(j); histbp->SetBinContent(j, b+arg); } //...................................... histcp->SetBinContent(k, 0.0); histcp->SetBinContent(j, x); //...................................... // redefine v v = histcp->GetBinContent(j); if ( fabs(v) < eps ) break; if (v >= 0.0) s = 1.0; else s = -1.0; //...................................... continue; } arg = v; if (arg <=0.0) { fHgON->SetBinContent (l, k, j, -arg); fHgOFF->SetBinContent(l, k, j, 0.0); } else { fHgON->SetBinContent (l, k, j, 0.0); fHgOFF->SetBinContent(l, k, j, arg); } *fLog << "l, k, j, arg = " << l << ", " << k << ", " << j << ", " << arg << endl; //g(k-1, j-1) = arg; //cout << "k-1, j-1, arg = " << k-1 << ", " << j-1 << ", " // << arg << endl; //...................................... // this is for checking the procedure if (arg < 0.0) { a = histap->GetBinContent(k); histap->SetBinContent(k, a+arg); a = histap->GetBinContent(j); histap->SetBinContent(j, a-arg); } else { b = histbp->GetBinContent(k); histbp->SetBinContent(k, b-arg); b = histbp->GetBinContent(j); histbp->SetBinContent(j, b+arg); } //...................................... histcp->SetBinContent(k, x); histcp->SetBinContent(j, 0.0); break; } //................ end k loop ...................................... } //-------- end j loop ------------------------------------------------ // check results for this Theta bin for (Int_t j=1; j<=nbinssig; j++) { a = histap->GetBinContent(j); b = histbp->GetBinContent(j); c = histcp->GetBinContent(j); if( fabs(a-b)>3.0*eps || fabs(c)>3.0*eps ) *fLog << "MCT1PadONOFF::Read; inconsistency in results; a, b, c = " << a << ", " << b << ", " << c << endl; } // fill target distribution SigmaTheta // for this Theta bin // for (Int_t j=1; j<=nbinssig; j++) { a = histap->GetBinContent(j); fHSigmaTheta->SetBinContent(l, j, a); } delete hista; delete histb; delete histc; delete histap; delete histbp; delete histcp; } //............ end of loop over Theta bins .................... // target distributions for MC // SigmaPixTheta and DiffPixTheta // BlindPixIdTheta and BlindPixNTheta // are calculated as averages of the ON and OFF distributions fHSigmaThetaON = sigthon; fHSigmaThetaON->SetNameTitle("2D-ThetaSigmabarON", "2D-ThetaSigmabarON (target)"); fHSigmaThetaOFF = sigthoff; fHSigmaThetaOFF->SetNameTitle("2D-ThetaSigmabarOFF", "2D-ThetaSigmabarOFF (target)"); fHBlindPixNTheta = new TH2D( (TH2D&)*blindnthon ); fHBlindPixNTheta->SetNameTitle("2D-ThetaBlindN", "2D-ThetaBlindN (target)"); fHBlindPixIdTheta = new TH2D( (TH2D&)*blindidthon ); fHBlindPixIdTheta->SetNameTitle("2D-ThetaBlindId", "2D-ThetaBlindId (target)"); fHSigmaPixTheta = new TH3D( (TH3D&)*sigpixthon ); fHSigmaPixTheta->SetNameTitle("3D-ThetaPixSigma", "3D-ThetaPixSigma (target)"); fHSigmaPixThetaON = sigpixthon; fHSigmaPixThetaON->SetNameTitle("3D-ThetaPixSigmaON", "3D-ThetaPixSigmaON (target)"); fHSigmaPixThetaOFF = sigpixthoff; fHSigmaPixThetaOFF->SetNameTitle("3D-ThetaPixSigmaOFF", "3D-ThetaPixSigmaOFF (target)"); fHDiffPixTheta = new TH3D( (TH3D&)*diffpixthon ); fHDiffPixTheta->SetNameTitle("3D-ThetaPixDiff", "3D-ThetaPixDiff (target)"); fHDiffPixThetaON = diffpixthon; fHDiffPixThetaON->SetNameTitle("3D-ThetaPixDiffON", "3D-ThetaPixDiffON (target)"); fHDiffPixThetaOFF = diffpixthoff; fHDiffPixThetaOFF->SetNameTitle("3D-ThetaPixDiffOFF", "3D-ThetaPixDiffOFF (target)"); for (Int_t j=1; j<=nbinstheta; j++) { // fraction of ON/OFF events to be padded to a sigmabar // of the OFF/ON events : fracON, fracOFF Double_t fracON = fHgON->Integral (j, j, 1, nbinssig, 1, nbinssig, ""); Double_t fracOFF = fHgOFF->Integral(j, j, 1, nbinssig, 1, nbinssig, ""); TAxis *ax; TAxis *ay; TAxis *az; Double_t entON; Double_t entOFF; Double_t normON; Double_t normOFF; // set ranges for 2D-projections of 3D-histograms ax = sigpixthon->GetXaxis(); ax->SetRange(j, j); ax = sigpixthoff->GetXaxis(); ax->SetRange(j, j); ax = diffpixthon->GetXaxis(); ax->SetRange(j, j); ax = diffpixthoff->GetXaxis(); ax->SetRange(j, j); TH2D *hist; TH2D *histOFF; TH1D *hist1; TH1D *hist1OFF; // weights for ON and OFF distrubtions when // calculating the weighted average Double_t facON = 0.5 * (1. - fracON + fracOFF); Double_t facOFF = 0.5 * (1. + fracON - fracOFF); *fLog << fracON << ", " << fracOFF << ", " << facON << ", " << facOFF << endl; //------------------------------------------- ay = blindnthon->GetYaxis(); Int_t nbinsn = ay->GetNbins(); hist1 = (TH1D*)blindnthon->ProjectionY ("", j, j, ""); hist1->SetName("dummy"); hist1OFF = (TH1D*)blindnthoff->ProjectionY("", j, j, ""); // number of events in this theta bin entON = hist1->Integral(); entOFF = hist1OFF->Integral(); *fLog << "BlindPixNTheta : j, entON, entOFF = " << j << ", " << entON << ", " << entOFF << endl; normON = entON<=0.0 ? 0.0 : 1.0/entON; normOFF = entOFF<=0.0 ? 0.0 : 1.0/entOFF; hist1->Scale(normON); hist1OFF->Scale(normOFF); // weighted average of ON and OFF distributions hist1->Scale(facON); hist1->Add(hist1OFF, facOFF); for (Int_t k=1; k<=nbinsn; k++) { Double_t cont = hist1->GetBinContent(k); fHBlindPixNTheta->SetBinContent(j, k, cont); } delete hist1; delete hist1OFF; //------------------------------------------- ay = blindidthon->GetYaxis(); Int_t nbinsid = ay->GetNbins(); hist1 = (TH1D*)blindidthon->ProjectionY ("", j, j, ""); hist1->SetName("dummy"); hist1OFF = (TH1D*)blindidthoff->ProjectionY("", j, j, ""); hist1->Scale(normON); hist1OFF->Scale(normOFF); // weighted average of ON and OFF distributions hist1->Scale(facON); hist1->Add(hist1OFF, facOFF); for (Int_t k=1; k<=nbinsid; k++) { Double_t cont = hist1->GetBinContent(k); fHBlindPixIdTheta->SetBinContent(j, k, cont); } delete hist1; delete hist1OFF; //------------------------------------------- ay = sigpixthon->GetYaxis(); Int_t nbinspix = ay->GetNbins(); az = sigpixthon->GetZaxis(); Int_t nbinssigma = az->GetNbins(); hist = (TH2D*)sigpixthon->Project3D("zy"); hist->SetName("dummy"); histOFF = (TH2D*)sigpixthoff->Project3D("zy"); hist->Scale(normON); histOFF->Scale(normOFF); // weighted average of ON and OFF distributions hist->Scale(facON); hist->Add(histOFF, facOFF); for (Int_t k=1; k<=nbinspix; k++) for (Int_t l=1; l<=nbinssigma; l++) { Double_t cont = hist->GetBinContent(k,l); fHSigmaPixTheta->SetBinContent(j, k, l, cont); } delete hist; delete histOFF; //------------------------------------------- ay = diffpixthon->GetYaxis(); Int_t nbinspixel = ay->GetNbins(); az = diffpixthon->GetZaxis(); Int_t nbinsdiff = az->GetNbins(); hist = (TH2D*)diffpixthon->Project3D("zy"); hist->SetName("dummy"); histOFF = (TH2D*)diffpixthoff->Project3D("zy"); hist->Scale(normON); histOFF->Scale(normOFF); // weighted average of ON and OFF distributions hist->Scale(facON); hist->Add(histOFF, facOFF); for (Int_t k=1; k<=nbinspixel; k++) for (Int_t l=1; l<=nbinsdiff; l++) { Double_t cont = hist->GetBinContent(k,l); fHDiffPixTheta->SetBinContent(j, k, l, cont); } delete hist; delete histOFF; //------------------------------------------- } *fLog << "The target distributions for the padding have been created" << endl; *fLog << "----------------------------------------------------------" << endl; //-------------------------------------------- fHSigmaTheta->SetDirectory(NULL); fHSigmaThetaON->SetDirectory(NULL); fHSigmaThetaOFF->SetDirectory(NULL); fHSigmaPixTheta->SetDirectory(NULL); fHSigmaPixThetaON->SetDirectory(NULL); fHSigmaPixThetaOFF->SetDirectory(NULL); fHDiffPixTheta->SetDirectory(NULL); fHDiffPixThetaON->SetDirectory(NULL); fHDiffPixThetaOFF->SetDirectory(NULL); fHBlindPixIdTheta->SetDirectory(NULL); fHBlindPixNTheta->SetDirectory(NULL); fHgON->SetDirectory(NULL); fHgOFF->SetDirectory(NULL); return kTRUE; } // -------------------------------------------------------------------------- // // Read target distributions from a file // // Bool_t MCT1PadONOFF::ReadTargetDist(const char* namefilein) { *fLog << "Read padding histograms from file " << namefilein << endl; fInfile = new TFile(namefilein); fInfile->ls(); //------------------------------------ fHSigmaTheta = (TH2D*) gROOT->FindObject("2D-ThetaSigmabar"); if (!fHSigmaTheta) { *fLog << "Object '2D-ThetaSigmabar' not found on root file" << endl; return kFALSE; } *fLog << "Object '2D-ThetaSigmabar' was read in" << endl; fHSigmaThetaON = (TH2D*) gROOT->FindObject("2D-ThetaSigmabarON"); if (!fHSigmaThetaON) { *fLog << "Object '2D-ThetaSigmabarON' not found on root file" << endl; return kFALSE; } *fLog << "Object '2D-ThetaSigmabarON' was read in" << endl; fHSigmaThetaOFF = (TH2D*) gROOT->FindObject("2D-ThetaSigmabarOFF"); if (!fHSigmaThetaOFF) { *fLog << "Object '2D-ThetaSigmabarOFF' not found on root file" << endl; return kFALSE; } *fLog << "Object '2D-ThetaSigmabarOFF' was read in" << endl; fHSigmaPixTheta = (TH3D*) gROOT->FindObject("3D-ThetaPixSigma"); if (!fHSigmaPixTheta) { *fLog << "Object '3D-ThetaPixSigma' not found on root file" << endl; return kFALSE; } *fLog << "Object '3D-ThetaPixSigma' was read in" << endl; fHSigmaPixThetaON = (TH3D*) gROOT->FindObject("3D-ThetaPixSigmaON"); if (!fHSigmaPixThetaON) { *fLog << "Object '3D-ThetaPixSigmaON' not found on root file" << endl; return kFALSE; } *fLog << "Object '3D-ThetaPixSigmaON' was read in" << endl; fHSigmaPixThetaOFF = (TH3D*) gROOT->FindObject("3D-ThetaPixSigmaOFF"); if (!fHSigmaPixThetaOFF) { *fLog << "Object '3D-ThetaPixSigmaOFF' not found on root file" << endl; return kFALSE; } *fLog << "Object '3D-ThetaPixSigmaOFF' was read in" << endl; fHDiffPixTheta = (TH3D*) gROOT->FindObject("3D-ThetaPixDiff"); if (!fHDiffPixTheta) { *fLog << "Object '3D-ThetaPixDiff' not found on root file" << endl; return kFALSE; } *fLog << "Object '3D-ThetaPixDiff' was read in" << endl; fHDiffPixThetaON = (TH3D*) gROOT->FindObject("3D-ThetaPixDiffON"); if (!fHDiffPixThetaON) { *fLog << "Object '3D-ThetaPixDiffON' not found on root file" << endl; return kFALSE; } *fLog << "Object '3D-ThetaPixDiffON' was read in" << endl; fHDiffPixThetaOFF = (TH3D*) gROOT->FindObject("3D-ThetaPixDiffOFF"); if (!fHDiffPixThetaOFF) { *fLog << "Object '3D-ThetaPixDiffOFF' not found on root file" << endl; return kFALSE; } *fLog << "Object '3D-ThetaPixDiffOFF' was read in" << endl; fHgON = (TH3D*) gROOT->FindObject("3D-PaddingMatrixON"); if (!fHgON) { *fLog << "Object '3D-PaddingMatrixON' not found on root file" << endl; return kFALSE; } *fLog << "Object '3D-PaddingMatrixON' was read in" << endl; fHgOFF = (TH3D*) gROOT->FindObject("3D-PaddingMatrixOFF"); if (!fHgOFF) { *fLog << "Object '3D-PaddingMatrixOFF' not found on root file" << endl; return kFALSE; } *fLog << "Object '3D-PaddingMatrixOFF' was read in" << endl; fHBlindPixIdTheta = (TH2D*) gROOT->FindObject("2D-ThetaBlindId"); if (!fHBlindPixIdTheta) { *fLog << "Object '2D-ThetaBlindId' not found on root file" << endl; return kFALSE; } *fLog << "Object '2D-ThetaBlindId' was read in" << endl; fHBlindPixNTheta = (TH2D*) gROOT->FindObject("2D-ThetaBlindN"); if (!fHBlindPixNTheta) { *fLog << "Object '2D-ThetaBlindN' not found on root file" << endl; return kFALSE; } *fLog << "Object '2D-ThetaBlindN' was read in" << endl; //------------------------------------ return kTRUE; } // -------------------------------------------------------------------------- // // Write target distributions onto a file // // Bool_t MCT1PadONOFF::WriteTargetDist(const char* namefileout) { *fLog << "Write padding histograms onto file " << namefileout << endl; TFile outfile(namefileout, "RECREATE"); fHBlindPixNTheta->Write(); fHBlindPixIdTheta->Write(); fHSigmaTheta->Write(); fHSigmaThetaON->Write(); fHSigmaThetaOFF->Write(); fHSigmaPixTheta->Write(); fHSigmaPixThetaON->Write(); fHSigmaPixThetaOFF->Write(); fHDiffPixTheta->Write(); fHDiffPixThetaON->Write(); fHDiffPixThetaOFF->Write(); fHgON->Write(); fHgOFF->Write(); *fLog << "MCT1PadONOFF::WriteTargetDist; target histograms written onto file " << namefileout << endl; return kTRUE; } // -------------------------------------------------------------------------- // // Set type of data to be padded // // this is not necessary if the type of the data can be recognized // directly from the input // // void MCT1PadONOFF::SetDataType(const char* type) { fType = type; *fLog << "MCT1PadONOFF::SetDataType(); type of data to be padded : " << fType << endl; return; } // -------------------------------------------------------------------------- // // Set the option for the padding // // There are 2 options for the padding : // // 1) fPadFlag = 1 : // Generate first a Sigmabar using the 2D-histogram Sigmabar vs. Theta // (fHSigmaTheta). Then generate a pedestal sigma for each pixel using // the 3D-histogram Theta, pixel no., Sigma^2-Sigmabar^2 // (fHDiffPixTheta). // // This is the preferred option as it takes into account the // correlations between the Sigma of a pixel and Sigmabar. // // 2) fPadFlag = 2 : // Generate a pedestal sigma for each pixel using the 3D-histogram // Theta, pixel no., Sigma (fHSigmaPixTheta). // void MCT1PadONOFF::SetPadFlag(Int_t padflag) { fPadFlag = padflag; *fLog << "MCT1PadONOFF::SetPadFlag(); choose option " << fPadFlag << endl; } // -------------------------------------------------------------------------- // // Set the pointers and prepare the histograms // Int_t MCT1PadONOFF::PreProcess(MParList *pList) { if ( !fHSigmaTheta || !fHSigmaThetaON || !fHSigmaThetaOFF || !fHSigmaPixTheta || !fHSigmaPixThetaON || !fHSigmaPixThetaOFF || !fHDiffPixTheta || !fHDiffPixThetaON || !fHDiffPixThetaOFF || !fHBlindPixIdTheta || !fHBlindPixNTheta || !fHgON || !fHgOFF) { *fLog << err << "At least one of the histograms needed for the padding is not defined ... aborting." << endl; return kFALSE; } fMcEvt = (MMcEvt*)pList->FindObject("MMcEvt"); if (!fMcEvt) { *fLog << err << dbginf << "MMcEvt not found... aborting." << endl; return kFALSE; } fPed = (MPedestalCam*)pList->FindObject("MPedestalCam"); if (!fPed) { *fLog << err << "MPedestalCam not found... aborting." << endl; return kFALSE; } fCam = (MGeomCam*)pList->FindObject("MGeomCam"); if (!fCam) { *fLog << err << "MGeomCam not found (no geometry information available)... aborting." << endl; return kFALSE; } fEvt = (MCerPhotEvt*)pList->FindObject("MCerPhotEvt"); if (!fEvt) { *fLog << err << "MCerPhotEvt not found... aborting." << endl; return kFALSE; } fSigmabar = (MSigmabar*)pList->FindCreateObj("MSigmabar"); if (!fSigmabar) { *fLog << err << "MSigmabar not found... aborting." << endl; return kFALSE; } fBlinds = (MBlindPixels*)pList->FindCreateObj("MBlindPixels"); if (!fBlinds) { *fLog << err << "MBlindPixels not found... aborting." << endl; return kFALSE; } if (fType !="ON" && fType !="OFF" && fType !="MC") { *fLog << err << "Type of data to be padded not defined... aborting." << endl; return kFALSE; } //-------------------------------------------------------------------- // histograms for checking the padding // // plot pedestal sigmas fHSigmaPedestal = new TH2D("SigPed","Sigma: after vs. before padding", 100, 0.0, 5.0, 100, 0.0, 5.0); fHSigmaPedestal->SetXTitle("Pedestal sigma before padding"); fHSigmaPedestal->SetYTitle("Pedestal sigma after padding"); // plot no.of photons (before vs. after padding) fHPhotons = new TH2D("Photons","Photons: after vs.before padding", 100, -10.0, 90.0, 100, -10, 90); fHPhotons->SetXTitle("no.of photons before padding"); fHPhotons->SetYTitle("no.of photons after padding"); // plot of added NSB fHNSB = new TH1D("NSB","Distribution of added NSB", 100, -10.0, 10.0); fHNSB->SetXTitle("no.of added NSB photons"); fHNSB->SetYTitle("no.of pixels"); //-------------------------------------------------------------------- fIter = 20; memset(fErrors, 0, sizeof(fErrors)); return kTRUE; } // -------------------------------------------------------------------------- // // Do the Padding // idealy the events to be padded should have been generated without NSB // Int_t MCT1PadONOFF::Process() { //*fLog << "Entry MCT1PadONOFF::Process();" << endl; //------------------------------------------------ // add pixels to MCerPhotEvt which are not yet in; // set their number of photons equal to zero UInt_t imaxnumpix = fCam->GetNumPixels(); for (UInt_t i=0; iGetNumPixels(); for (UInt_t j=0; jAddPixel(i, 0.0, (*fPed)[i].GetMeanRms()); } //----------------------------------------- Int_t rc=0; Int_t rw=0; const UInt_t npix = fEvt->GetNumPixels(); //fSigmabar->Calc(*fCam, *fPed, *fEvt); //*fLog << "before padding : " << endl; //fSigmabar->Print(""); //$$$$$$$$$$$$$$$$$$$$$$$$$$ // to simulate the situation that before the padding the NSB and // electronic noise are zero : set Sigma = 0 for all pixels //for (UInt_t i=0; ioperator[](i); // Int_t j = pix.GetPixId(); // MPedestalPix &ppix = fPed->operator[](j); // ppix.SetMeanRms(0.0); //} //$$$$$$$$$$$$$$$$$$$$$$$$$$ //------------------------------------------- // Calculate average sigma of the event // Double_t sigbarold = fSigmabar->Calc(*fCam, *fPed, *fEvt); Double_t sigbarold2 = sigbarold*sigbarold; //fSigmabar->Print(""); // for MC data : expect sigmabar to be zero before the padding if (fType == "MC") { if (sigbarold > 0) { //*fLog << "MCT1PadONOFF::Process(); sigmabar of event to be padded is > 0 : " // << sigbarold << ". Stop event loop " << endl; // input data should have sigmabar = 0; stop event loop rc = 1; fErrors[rc]++; return kCONTINUE; } } const Double_t theta = kRad2Deg*fMcEvt->GetTelescopeTheta(); //*fLog << "theta = " << theta << endl; Int_t binTheta = fHBlindPixNTheta->GetXaxis()->FindBin(theta); if ( binTheta < 1 || binTheta > fHBlindPixNTheta->GetNbinsX() ) { //*fLog << "MCT1PadONOFF::Process(); binNumber out of range : theta, binTheta = " // << theta << ", " << binTheta << "; Skip event " << endl; // event cannot be padded; skip event rc = 2; fErrors[rc]++; return kCONTINUE; } //------------------------------------------- // get number of events in this theta bin // and number of events in this sigbarold bin Double_t nTheta; Double_t nSigma; if (fType == "ON") { TH1D *hn; hn = fHSigmaThetaON->ProjectionY("", binTheta, binTheta, ""); nTheta = hn->Integral(); Int_t binSigma = hn->FindBin(sigbarold); nSigma = hn->GetBinContent(binSigma); //*fLog << "Theta, sigbarold, binTheta, binSigma, nTheta, nSigma = " // << theta << ", " << sigbarold << ", " << binTheta << ", " // << binSigma << ", " << nTheta << ", " << nSigma << endl; delete hn; } else if (fType == "OFF") { TH1D *hn; hn = fHSigmaThetaOFF->ProjectionY("", binTheta, binTheta, ""); nTheta = hn->Integral(); Int_t binSigma = hn->FindBin(sigbarold); nSigma = hn->GetBinContent(binSigma); //*fLog << "Theta, sigbarold, binTheta, binSigma, nTheta, nSigma = " // << theta << ", " << sigbarold << ", " << binTheta << ", " // << binSigma << ", " << nTheta << ", " << nSigma << endl; delete hn; } else { nTheta = 0.0; nSigma = 0.0; } //------------------------------------------- // for the current theta, // generate blind pixels according to the histograms // fHBlindPixNTheta and fHBlindPixIDTheta // do this only for MC data if (fType == "MC") { // numBlind is the number of blind pixels in this event TH1D *nblind; UInt_t numBlind; nblind = fHBlindPixNTheta->ProjectionY("", binTheta, binTheta, ""); if ( nblind->Integral() == 0.0 ) { //*fLog << "MCT1PadONOFF::Process(); projection for Theta bin " // << binTheta << " has no entries; Skip event " << endl; // event cannot be padded; skip event delete nblind; rc = 7; fErrors[rc]++; return kCONTINUE; } else { numBlind = (Int_t) (nblind->GetRandom()+0.5); } delete nblind; #warn Code commented out due no compilation errors on Alpha OSF (tgb) /* // throw the Id of numBlind different pixels in this event TH1D *hblind; UInt_t idBlind; UInt_t listId[npix]; UInt_t nlist = 0; Bool_t equal; hblind = fHBlindPixIdTheta->ProjectionY("", binTheta, binTheta, ""); if ( hblind->Integral() > 0.0 ) for (UInt_t i=0; iGetRandom()+0.5); equal = kFALSE; for (UInt_t j=0; jSetPixelBlind(idBlind); //*fLog << "idBlind = " << idBlind << endl; } fBlinds->SetReadyToSave(); delete hblind; } */ //****************************************************************** // has the event to be padded ? // if yes : to which sigmabar should it be padded ? // Int_t binSig = fHgON->GetYaxis()->FindBin(sigbarold); //*fLog << "binSig, sigbarold = " << binSig << ", " << sigbarold << endl; Double_t prob; TH1D *hpad = NULL; if (fType == "ON") { hpad = fHgON->ProjectionZ("zON", binTheta, binTheta, binSig, binSig, ""); //Int_t nb = hpad->GetNbinsX(); //for (Int_t i=1; i<=nb; i++) //{ // if (hpad->GetBinContent(i) != 0.0) // *fLog << "i, fHgON = " << i << ", " << hpad->GetBinContent(i) << endl; //} if (nSigma != 0.0) prob = hpad->Integral() * nTheta/nSigma; else prob = 0.0; //*fLog << "nTheta, nSigma, prob = " << nTheta << ", " << nSigma // << ", " << prob << endl; } else if (fType == "OFF") { hpad = fHgOFF->ProjectionZ("zOFF", binTheta, binTheta, binSig, binSig, ""); if (nSigma != 0.0) prob = hpad->Integral() * nTheta/nSigma; else prob = 0.0; } else prob = 1.0; if ( fType != "MC" && (prob <= 0.0 || gRandom->Uniform() > prob) ) { delete hpad; // event should not be padded //*fLog << "event is not padded" << endl; rc = 8; fErrors[rc]++; return kTRUE; } // event should be padded //*fLog << "event is padded" << endl; //------------------------------------------- // for the current theta, generate a sigmabar // // for ON/OFF data according to the matrix fHgON/OFF // for MC data according to the histogram fHSigmaTheta // Double_t sigmabar=0; if (fType == "ON" || fType == "OFF") { //Int_t nbinsx = hpad->GetNbinsX(); //for (Int_t i=1; i<=nbinsx; i++) //{ // if (hpad->GetBinContent(i) != 0.0) // *fLog << "i, fHg = " << i << ", " << hpad->GetBinContent(i) << endl; //} sigmabar = hpad->GetRandom(); //*fLog << "sigmabar = " << sigmabar << endl; delete hpad; } else if (fType == "MC") { Int_t bincheck = fHSigmaTheta->GetXaxis()->FindBin(theta); if (binTheta != bincheck) { cout << "The binnings of the 2 histograms are not identical; aborting" << endl; return kERROR; } TH1D *hsigma; hsigma = fHSigmaTheta->ProjectionY("", binTheta, binTheta, ""); if ( hsigma->Integral() == 0.0 ) { *fLog << "MCT1PadONOFF::Process(); projection for Theta bin " << binTheta << " has no entries; Skip event " << endl; // event cannot be padded; skip event delete hsigma; rc = 3; fErrors[rc]++; return kCONTINUE; } else { sigmabar = hsigma->GetRandom(); //*fLog << "Theta, bin number = " << theta << ", " << binTheta // << ", sigmabar = " << sigmabar << endl } delete hsigma; } const Double_t sigmabar2 = sigmabar*sigmabar; //------------------------------------------- //*fLog << "MCT1PadONOFF::Process(); sigbarold, sigmabar = " // << sigbarold << ", "<< sigmabar << endl; // Skip event if target sigmabar is <= sigbarold if (sigmabar <= sigbarold) { *fLog << "MCT1PadONOFF::Process(); target sigmabar is less than sigbarold : " << sigmabar << ", " << sigbarold << ", Skip event" << endl; rc = 4; fErrors[rc]++; return kCONTINUE; } //------------------------------------------- // // Calculate average number of NSB photons to be added (lambdabar) // from the value of sigmabar, // - making assumptions about the average electronic noise (elNoise2) and // - using a fixed value (F2excess) for the excess noise factor Double_t elNoise2; // [photons] Double_t F2excess = 1.3; Double_t lambdabar; // [photons] Int_t bincheck = fHDiffPixTheta->GetXaxis()->FindBin(theta); if (binTheta != bincheck) { cout << "The binnings of the 2 histograms are not identical; aborting" << endl; return kERROR; } // Get RMS of (Sigma^2-sigmabar^2) in this Theta bin. // The average electronic noise (to be added) has to be well above this RMS, // otherwise the electronic noise of an individual pixel (elNoise2Pix) // may become negative TH1D *hnoise; if (fType == "MC") hnoise = fHDiffPixTheta->ProjectionZ("", binTheta, binTheta, 0, 9999, ""); else if (fType == "ON") hnoise = fHDiffPixThetaOFF->ProjectionZ("", binTheta, binTheta, 0, 9999, ""); else if (fType == "OFF") hnoise = fHDiffPixThetaON->ProjectionZ("", binTheta, binTheta, 0, 9999, ""); else { *fLog << "MCT1PadONOFF::Process; illegal data type... aborting" << endl; return kERROR; } Double_t RMS = hnoise->GetRMS(1); delete hnoise; elNoise2 = TMath::Min(RMS, sigmabar2 - sigbarold2); //*fLog << "elNoise2 = " << elNoise2 << endl; lambdabar = (sigmabar2 - sigbarold2 - elNoise2) / F2excess; // [photons] // This value of lambdabar is the same for all pixels; // note that lambdabar is normalized to the area of pixel 0 //---------- start loop over pixels --------------------------------- // do the padding for each pixel // // pad only pixels - which are used (before image cleaning) // Double_t sig = 0; Double_t sigma2 = 0; Double_t diff = 0; Double_t addSig2 = 0; Double_t elNoise2Pix = 0; for (UInt_t i=0; iGetPixRatio(j); MPedestalPix &ppix = (*fPed)[j]; Double_t oldsigma = ppix.GetMeanRms(); Double_t oldsigma2 = oldsigma*oldsigma; //--------------------------------- // throw the Sigma for this pixel // Int_t binPixel = fHDiffPixTheta->GetYaxis()->FindBin( (Double_t)j ); Int_t count; Bool_t ok; TH1D *hdiff; TH1D *hsig; switch (fPadFlag) { case 1 : // throw the Sigma for this pixel from the distribution fHDiffPixTheta if (fType == "MC") hdiff = fHDiffPixTheta->ProjectionZ("", binTheta, binTheta, binPixel, binPixel, ""); else if (fType == "ON") hdiff = fHDiffPixThetaOFF->ProjectionZ("", binTheta, binTheta, binPixel, binPixel, ""); else hdiff = fHDiffPixThetaON->ProjectionZ("", binTheta, binTheta, binPixel, binPixel, ""); if ( hdiff->Integral() == 0 ) { *fLog << "MCT1PadONOFF::Process(); projection for Theta bin " << binTheta << " and pixel bin " << binPixel << " has no entries; aborting " << endl; delete hdiff; rc = 5; fErrors[rc]++; return kCONTINUE; } count = 0; ok = kFALSE; for (Int_t m=0; mGetRandom(); // the following condition ensures that elNoise2Pix > 0.0 if ( (diff + sigmabar2 - oldsigma2/ratioArea - lambdabar*F2excess) > 0.0 ) { ok = kTRUE; break; } } if (!ok) { //*fLog << "theta, j, count, sigmabar, diff = " << theta << ", " // << j << ", " << count << ", " << sigmabar << ", " // << diff << endl; diff = lambdabar*F2excess + oldsigma2/ratioArea - sigmabar2; rw = 1; fWarnings[rw]++; } else { rw = 0; fWarnings[rw]++; } delete hdiff; sigma2 = diff + sigmabar2; break; case 2 : // throw the Sigma for this pixel from the distribution fHSigmaPixTheta if (fType == "MC") hsig = fHSigmaPixTheta->ProjectionZ("", binTheta, binTheta, binPixel, binPixel, ""); else if (fType == "ON") hsig = fHSigmaPixThetaOFF->ProjectionZ("", binTheta, binTheta, binPixel, binPixel, ""); else hsig = fHSigmaPixThetaON->ProjectionZ("", binTheta, binTheta, binPixel, binPixel, ""); if ( hsig->Integral() == 0 ) { *fLog << "MCT1PadONOFF::Process(); projection for Theta bin " << binTheta << " and pixel bin " << binPixel << " has no entries; aborting " << endl; delete hsig; rc = 6; fErrors[rc]++; return kCONTINUE; } count = 0; ok = kFALSE; for (Int_t m=0; mGetRandom(); sigma2 = sig*sig/ratioArea; // the following condition ensures that elNoise2Pix > 0.0 if ( (sigma2-oldsigma2/ratioArea-lambdabar*F2excess) > 0.0 ) { ok = kTRUE; break; } } if (!ok) { //*fLog << "theta, j, count, sigmabar, sig = " << theta << ", " // << j << ", " << count << ", " << sigmabar << ", " // << sig << endl; sigma2 = lambdabar*F2excess + oldsigma2/ratioArea; rw = 1; fWarnings[rw]++; } else { rw = 0; fWarnings[rw]++; } delete hsig; break; } //--------------------------------- // get the additional sigma^2 for this pixel (due to the padding) addSig2 = sigma2*ratioArea - oldsigma2; //--------------------------------- // get the additional electronic noise for this pixel elNoise2Pix = addSig2 - lambdabar*F2excess*ratioArea; //--------------------------------- // throw actual number of additional NSB photons (NSB) // and its RMS (sigmaNSB) Double_t NSB0 = gRandom->Poisson(lambdabar*ratioArea); Double_t arg = NSB0*(F2excess-1.0) + elNoise2Pix; Double_t sigmaNSB0; if (arg >= 0.0) { sigmaNSB0 = sqrt( arg ); } else { sigmaNSB0 = 0.0000001; if (arg < -1.e-10) { *fLog << "MCT1PadONOFF::Process(); argument of sqrt < 0 : " << arg << endl; } } //--------------------------------- // smear NSB0 according to sigmaNSB0 // and subtract lambdabar because of AC coupling Double_t NSB = gRandom->Gaus(NSB0, sigmaNSB0) - lambdabar*ratioArea; //--------------------------------- // add additional NSB to the number of photons Double_t oldphotons = pix.GetNumPhotons(); Double_t newphotons = oldphotons + NSB; pix.SetNumPhotons( newphotons ); fHNSB->Fill( NSB/sqrt(ratioArea) ); fHPhotons->Fill( oldphotons/sqrt(ratioArea), newphotons/sqrt(ratioArea) ); // error: add sigma of padded noise quadratically Double_t olderror = pix.GetErrorPhot(); Double_t newerror = sqrt( olderror*olderror + addSig2 ); pix.SetErrorPhot( newerror ); Double_t newsigma = sqrt( oldsigma2 + addSig2 ); ppix.SetMeanRms( newsigma ); fHSigmaPedestal->Fill( oldsigma, newsigma ); } //---------- end of loop over pixels --------------------------------- // Calculate sigmabar again and crosscheck //fSigmabar->Calc(*fCam, *fPed, *fEvt); //*fLog << "after padding : " << endl; //fSigmabar->Print(""); rc = 0; fErrors[rc]++; return kTRUE; //****************************************************************** } // -------------------------------------------------------------------------- // // Int_t MCT1PadONOFF::PostProcess() { if (GetNumExecutions() != 0) { *fLog << inf << endl; *fLog << GetDescriptor() << " execution statistics:" << endl; *fLog << dec << setfill(' '); int temp; if (fWarnings[0] != 0.0) temp = (int)(fWarnings[1]*100/fWarnings[0]); else temp = 100; *fLog << " " << setw(7) << fWarnings[1] << " (" << setw(3) << temp << "%) Warning : iteration to find acceptable sigma failed" << ", fIter = " << fIter << endl; *fLog << " " << setw(7) << fErrors[1] << " (" << setw(3) << (int)(fErrors[1]*100/GetNumExecutions()) << "%) Evts skipped due to: Sigmabar_old > 0" << endl; *fLog << " " << setw(7) << fErrors[2] << " (" << setw(3) << (int)(fErrors[2]*100/GetNumExecutions()) << "%) Evts skipped due to: Zenith angle out of range" << endl; *fLog << " " << setw(7) << fErrors[3] << " (" << setw(3) << (int)(fErrors[3]*100/GetNumExecutions()) << "%) Evts skipped due to: No data for generating Sigmabar" << endl; *fLog << " " << setw(7) << fErrors[4] << " (" << setw(3) << (int)(fErrors[4]*100/GetNumExecutions()) << "%) Evts skipped due to: Target sigma <= Sigmabar_old" << endl; *fLog << " " << setw(7) << fErrors[5] << " (" << setw(3) << (int)(fErrors[5]*100/GetNumExecutions()) << "%) Evts skipped due to: No data for generating Sigma^2-Sigmabar^2" << endl; *fLog << " " << setw(7) << fErrors[6] << " (" << setw(3) << (int)(fErrors[6]*100/GetNumExecutions()) << "%) Evts skipped due to: No data for generating Sigma" << endl; *fLog << " " << setw(7) << fErrors[7] << " (" << setw(3) << (int)(fErrors[7]*100/GetNumExecutions()) << "%) Evts skipped due to: No data for generating Blind pixels" << endl; *fLog << " " << setw(7) << fErrors[8] << " (" << setw(3) << (int)(fErrors[8]*100/GetNumExecutions()) << "%) Evts didn't have to be padded" << endl; *fLog << " " << fErrors[0] << " (" << (int)(fErrors[0]*100/GetNumExecutions()) << "%) Evts were successfully padded!" << endl; *fLog << endl; } //--------------------------------------------------------------- TCanvas &c = *(MH::MakeDefCanvas("PadONOFF", "", 900, 1200)); c.Divide(3, 4); gROOT->SetSelectedPad(NULL); c.cd(1); fHNSB->SetDirectory(NULL); fHNSB->DrawCopy(); fHNSB->SetBit(kCanDelete); c.cd(2); fHSigmaPedestal->SetDirectory(NULL); fHSigmaPedestal->DrawCopy(); fHSigmaPedestal->SetBit(kCanDelete); c.cd(3); fHPhotons->SetDirectory(NULL); fHPhotons->DrawCopy(); fHPhotons->SetBit(kCanDelete); //-------------------------------------------------------------------- c.cd(4); fHSigmaTheta->SetDirectory(NULL); fHSigmaTheta->SetTitle("(Target) 2D : Sigmabar, \\Theta"); fHSigmaTheta->DrawCopy(); fHSigmaTheta->SetBit(kCanDelete); //-------------------------------------------------------------------- c.cd(7); fHBlindPixNTheta->SetDirectory(NULL); fHBlindPixNTheta->SetTitle("(Target) 2D : no.of blind pixels, \\Theta"); fHBlindPixNTheta->DrawCopy(); fHBlindPixNTheta->SetBit(kCanDelete); //-------------------------------------------------------------------- c.cd(10); fHBlindPixIdTheta->SetDirectory(NULL); fHBlindPixIdTheta->SetTitle("(Target) 2D : blind pixel Id, \\Theta"); fHBlindPixIdTheta->DrawCopy(); fHBlindPixIdTheta->SetBit(kCanDelete); //-------------------------------------------------------------------- // draw the 3D histogram (target): Theta, pixel, Sigma^2-Sigmabar^2 c.cd(5); TH2D *l1; l1 = (TH2D*) ((TH3*)fHDiffPixTheta)->Project3D("zx"); l1->SetDirectory(NULL); l1->SetTitle("(Target) Sigma^2-Sigmabar^2 vs. \\Theta (all pixels)"); l1->SetXTitle("\\Theta [\\circ]"); l1->SetYTitle("Sigma^2-Sigmabar^2"); l1->DrawCopy("box"); l1->SetBit(kCanDelete);; c.cd(8); TH2D *l2; l2 = (TH2D*) ((TH3*)fHDiffPixTheta)->Project3D("zy"); l2->SetDirectory(NULL); l2->SetTitle("(Target) Sigma^2-Sigmabar^2 vs. pixel number (all \\Theta)"); l2->SetXTitle("pixel"); l2->SetYTitle("Sigma^2-Sigmabar^2"); l2->DrawCopy("box"); l2->SetBit(kCanDelete);; //-------------------------------------------------------------------- // draw the 3D histogram (target): Theta, pixel, Sigma c.cd(6); TH2D *k1; k1 = (TH2D*) ((TH3*)fHSigmaPixTheta)->Project3D("zx"); k1->SetDirectory(NULL); k1->SetTitle("(Target) Sigma vs. \\Theta (all pixels)"); k1->SetXTitle("\\Theta [\\circ]"); k1->SetYTitle("Sigma"); k1->DrawCopy("box"); k1->SetBit(kCanDelete); c.cd(9); TH2D *k2; k2 = (TH2D*) ((TH3*)fHSigmaPixTheta)->Project3D("zy"); k2->SetDirectory(NULL); k2->SetTitle("(Target) Sigma vs. pixel number (all \\Theta)"); k2->SetXTitle("pixel"); k2->SetYTitle("Sigma"); k2->DrawCopy("box"); k2->SetBit(kCanDelete);; //-------------------------------------------------------------------- c.cd(11); TH2D *m1; m1 = (TH2D*) ((TH3*)fHgON)->Project3D("zy"); m1->SetDirectory(NULL); m1->SetTitle("(Target) Sigmabar-new vs. Sigmabar-old (ON, all \\Theta)"); m1->SetXTitle("Sigmabar-old"); m1->SetYTitle("Sigmabar-new"); m1->DrawCopy("box"); m1->SetBit(kCanDelete);; c.cd(12); TH2D *m2; m2 = (TH2D*) ((TH3*)fHgOFF)->Project3D("zy"); m2->SetDirectory(NULL); m2->SetTitle("(Target) Sigmabar-new vs. Sigmabar-old (OFF, all \\Theta)"); m2->SetXTitle("Sigmabar-old"); m2->SetYTitle("Sigmabar-new"); m2->DrawCopy("box"); m2->SetBit(kCanDelete);; return kTRUE; } // --------------------------------------------------------------------------