| 1 | /********************** Peak-Template ***********************
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| 2 |
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| 3 | this makro shell search for Peaks in data and form a template
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| 4 | of these, so it can be used for detection of other peaks
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| 5 |
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| 6 | *************************************************************/
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| 7 |
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| 8 | //root libraries
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| 9 |
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| 10 | #include <TROOT.h>
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| 11 | #include <TCanvas.h>
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| 12 | #include <TProfile.h>
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| 13 | #include <TTimer.h>
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| 14 | #include <TH1F.h>
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| 15 | #include <TH2F.h>
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| 16 | #include <Getline.h>
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| 17 | #include <TLine.h>
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| 18 | #include <TBox.h>
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| 19 | #include <TMath.h>
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| 20 | #include <TFile.h>
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| 21 | #include <TStyle.h>
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| 22 |
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| 23 | #include <stdio.h>
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| 24 | #include <stdint.h>
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| 25 | #include <cstdio>
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| 26 |
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| 27 | #define NPIX 1440
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| 28 | #define NCELL 1024
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| 29 | #define FAD_MAX_SAMPLES 1024
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| 30 |
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| 31 | #define HAVE_ZLIB
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| 32 |
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| 33 | //rootmacros
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| 34 |
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| 35 | #include "fits.h"
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| 36 |
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| 37 | #include "openFits.h"
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| 38 | #include "openFits.c"
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| 39 |
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| 40 | #include "discriminator.h"
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| 41 | #include "discriminator.C"
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| 42 | #include "zerosearch.h"
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| 43 | #include "zerosearch.C"
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| 44 | #include "factfir.C"
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| 45 |
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| 46 | #include "DrsCalibration.C"
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| 47 | #include "DrsCalibration.h"
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| 48 |
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| 49 | #include "SpikeRemoval.h"
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| 50 | #include "SpikeRemoval.C"
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| 51 |
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| 52 | //-----------------------------------------------------------------------------
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| 53 | // Decleration of variables
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| 54 | //-----------------------------------------------------------------------------
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| 55 | bool breakout=false;
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| 56 |
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| 57 | int NEvents;
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| 58 | vector<int16_t> AllPixelDataVector;
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| 59 | vector<int16_t> StartCellVector;
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| 60 | unsigned int CurrentEventID;
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| 61 | size_t PXLxROI;
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| 62 | UInt_t RegionOfInterest;
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| 63 | UInt_t NumberOfPixels;
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| 64 |
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| 65 | size_t TriggerOffsetROI, RC;
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| 66 | size_t drs_n;
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| 67 | vector<float> drs_basemean;
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| 68 | vector<float> drs_gainmean;
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| 69 | vector<float> drs_triggeroffsetmean;
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| 70 |
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| 71 | vector<float> Ameas(FAD_MAX_SAMPLES); // copy of the data (measured amplitude
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| 72 | vector<float> Vcorr(FAD_MAX_SAMPLES); // corrected Values
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| 73 | vector<float> Vslide(FAD_MAX_SAMPLES); // sliding average result
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| 74 | vector<float> Vcfd(FAD_MAX_SAMPLES); // CDF result
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| 75 | vector<float> Vcfd2(FAD_MAX_SAMPLES); // CDF result + 2nd sliding average
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| 76 |
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| 77 | typedef struct{
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| 78 | float maxAmpl;
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| 79 | float countOfMax;
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| 80 | } OverlayMaximum;
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| 81 | vector<OverlayMaximum> SingleMaximum;
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| 82 | // histograms
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| 83 | const int NumberOfDebugHistoTypes = 7;
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| 84 |
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| 85 | const unsigned int
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| 86 | Ameas_ = 0,
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| 87 | N1mean_ = 1,
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| 88 | Vcorr_ = 2,
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| 89 | Vtest_ = 3,
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| 90 | Vslide_ = 4,
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| 91 | Vcfd_ = 5,
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| 92 | Vcfd2_ = 6;
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| 93 |
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| 94 | TH1F* h;
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| 95 | TH1F *debugHistos;
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| 96 | TH2F *hPeakOverlay; //histogrammm for overlay of detected Peaks
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| 97 | TH1F *hMaxPeakOverlay;
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| 98 | //TH2F *hPixelPeakOverlay;
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| 99 | //TH2F *hEventPeakOverlay;
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| 100 | int hPeakOverlayXaxisLeft,hPeakOverlayXaxisRight;
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| 101 |
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| 102 | TObjArray hList;
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| 103 | TObjArray hListBaseline;
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| 104 |
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| 105 | void BookHistos( );
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| 106 | void SaveHistograms( const char * );
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| 107 |
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| 108 | //-----------------------------------------------------------------------------
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| 109 | // Main
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| 110 | //-----------------------------------------------------------------------------
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| 111 | int tpeak(
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| 112 | char *datafilename = "data/20111016_013.fits.gz",
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| 113 | const char *drsfilename = "../../20111016_011.drs.fits.gz",
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| 114 | const char *OutRootFileName = "../analysis/tpeak_cdf.Coutput.root",
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| 115 | int firstevent = 0,
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| 116 | int nevents = -1,
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| 117 | int firstpixel = 0,
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| 118 | int npixel = -1,
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| 119 | bool spikeDebug = false,
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| 120 | int avg1 = 14,
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| 121 | int avg2 = 8,
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| 122 | int OverlayWindowLeft = 50,
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| 123 | int OverlayWindowRight = 150,
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| 124 | int verbosityLevel = 1, // different verbosity levels can be implemented here
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| 125 | bool ProduceGraphic = true
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| 126 | )
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| 127 |
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| 128 | {
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| 129 | hPeakOverlayXaxisLeft = OverlayWindowLeft;
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| 130 | hPeakOverlayXaxisRight = OverlayWindowRight;
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| 131 |
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| 132 | gStyle->SetPalette(1,0);
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| 133 | gROOT->SetStyle("Plain");
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| 134 |
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| 135 | //-----------------------------------------------------------------------------
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| 136 | // Create (pointer to) Canvases, which are used in every run,
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| 137 | // also in 'non-debug' runs
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| 138 | //-----------------------------------------------------------------------------
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| 139 | // Canvases only need if spike Debug, but I want to deklare
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| 140 | // the pointers anyway ...
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| 141 | TCanvas *cFiltered = NULL;
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| 142 | if (spikeDebug){
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| 143 | cFiltered = new TCanvas("cFiltered","filtered DRS Waveforms", 1,310,400,300);
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| 144 | cFiltered->Divide(1, 3);
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| 145 | }
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| 146 | // Canvases to show the peak template
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| 147 | TCanvas *cPeakOverlay = NULL;
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| 148 | cPeakOverlay = new TCanvas("cPeakOverlay", "Overlay of detected Peaks", 1, 1, 1200, 800);
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| 149 | cPeakOverlay->Divide(2,1);
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| 150 | // // All peaks of one Pixel
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| 151 | // TCanvas *cPixelPeakOverlay = NULL;
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| 152 | // cPixelPeakOverlay = new TCanvas("cPixelPeakOverlay", "Overlay of detected Peaks of all Events of one Pixel", 401, 1, 400, 400);
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| 153 | // // All Peaks of one Event
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| 154 | // TCanvas *cYProjection = NULL;
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| 155 | // cYProjection = new TCanvas("cYProjection", "Y Projection of peak overlay for each bin ", 802, 1, 400, 400);
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| 156 |
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| 157 |
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| 158 |
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| 159 | //-----------------------------------------------------------------------------
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| 160 | // read FACT raw data
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| 161 | // * remove spikes
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| 162 | // * calculate baseline
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| 163 | // * find peaks (CFD and normal discriminator)
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| 164 | // * compute pulse height and pulse integral spektrum of the peaks
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| 165 | //-----------------------------------------------------------------------------
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| 166 |
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| 167 |
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| 168 | //-----------------------------------------------------------------------------
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| 169 | // Filter-Settings
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| 170 | //-----------------------------------------------------------------------------
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| 171 | // CFD filter settings
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| 172 | int k_cfd = 10;
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| 173 | vector<double> a_cfd(k_cfd, 0);
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| 174 | double b_cfd = 1.;
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| 175 | a_cfd[0]=-0.75;
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| 176 | a_cfd[k_cfd-1]=1.;
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| 177 |
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| 178 | //-----------------------------------------------------------------------------
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| 179 | // prepare datafile
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| 180 | //-----------------------------------------------------------------------------
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| 181 |
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| 182 | // Open the data file
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| 183 |
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| 184 | fits * datafile;
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| 185 | // Opens the raw data file and 'binds' the variables given as
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| 186 | // Parameters to the data file. So they are filled with
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| 187 | // raw data as soon as datafile->GetRow(int) is called.
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| 188 | NEvents = openDataFits( datafilename, &datafile,
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| 189 | AllPixelDataVector, StartCellVector, CurrentEventID,
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| 190 | RegionOfInterest, NumberOfPixels, PXLxROI, verbosityLevel);
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| 191 | if (NEvents == 0){
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| 192 | cout << "return code of OpenDataFile:" << datafilename<< endl;
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| 193 | cout << "is zero -> aborting." << endl;
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| 194 | return 1;
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| 195 | }
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| 196 |
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| 197 | if (verbosityLevel > 0)
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| 198 | cout <<"number of events in file: "<< NEvents << "\t";
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| 199 | if ( nevents == -1 || nevents > NEvents ) nevents = NEvents; // -1 means all!
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| 200 | if (verbosityLevel > 0)
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| 201 | cout <<"of, which "<< nevents << "will be processed"<< endl;
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| 202 |
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| 203 | if (verbosityLevel > 0)
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| 204 | cout <<"Total # of Pixel: "<< NumberOfPixels << "\t";
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| 205 | if ( npixel == -1 || npixel > (int)NumberOfPixels ) npixel = (int)NumberOfPixels; // -1 means all!
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| 206 | if (verbosityLevel > 0)
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| 207 | cout <<"of, which "<< npixel << "will be processed"<< endl;
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| 208 | //Get the DRS calibration
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| 209 | RC = openCalibFits( drsfilename, drs_basemean, drs_gainmean, drs_triggeroffsetmean, TriggerOffsetROI);
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| 210 | if (RC == 0){
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| 211 | cout << "return code of openCalibFits:" << drsfilename << endl;
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| 212 | cout << "is zero -> aborting." << endl;
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| 213 | return 1;
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| 214 | }
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| 215 | // Book the histograms
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| 216 | BookHistos( );
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| 217 |
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| 218 | //-----------------------------------------------------------------------------
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| 219 | // Loops over Every Event and Pixel
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| 220 | //-----------------------------------------------------------------------------
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| 221 | for ( int ev = firstevent; ev < firstevent + nevents; ev++) {
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| 222 | // Get an Event --> consists of 1440 Pixel ...erm....data
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| 223 | datafile->GetRow( ev );
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| 224 |
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| 225 | //-------------------------------------
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| 226 | // Loop over every Pixel of Event
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| 227 | //-------------------------------------
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| 228 |
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| 229 | for ( int pix = firstpixel; pix < firstpixel + npixel; pix++ ){
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| 230 | if (verbosityLevel > 0){
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| 231 | if (pix == firstpixel){
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| 232 | cout << "Processing Event: " << CurrentEventID << "/" << nevents << endl;
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| 233 | }
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| 234 | }
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| 235 |
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| 236 | applyDrsCalibration( Ameas,pix,12,12,
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| 237 | drs_basemean, drs_gainmean, drs_triggeroffsetmean,
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| 238 | RegionOfInterest, AllPixelDataVector, StartCellVector);
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| 239 |
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| 240 | // finds spikes in the raw data, and interpolates the value
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| 241 | // spikes are: 1 or 2 slice wide, positive non physical artifacts
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| 242 | removeSpikes (Ameas, Vcorr);
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| 243 |
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| 244 | // filter Vcorr with sliding average using FIR filter function
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| 245 | sliding_avg(Vcorr, Vslide, avg1);
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| 246 | // filter Vslide with CFD using FIR filter function
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| 247 | factfir(b_cfd , a_cfd, k_cfd, Vslide, Vcfd);
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| 248 | // filter Vcfd with sliding average using FIR filter function
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| 249 | sliding_avg(Vcfd, Vcfd2, avg2);
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| 250 |
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| 251 | // peaks in Ameas[] are found by searching for zero crossings
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| 252 | // in Vcfd2
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| 253 | // first Argument 1 means ... *rising* edge
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| 254 | // second Argument 1 means ... search with stepsize 1 ... 10 is okay as well
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| 255 | vector<Region> * zXings = zerosearch( Vcfd2 , 1 , 8);
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| 256 | // zXings means "zero cross ings"
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| 257 | EnlargeRegion(*zXings, 10, 10);
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| 258 | findAbsMaxInRegions(*zXings, Vslide);
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| 259 | removeMaximaBelow( *zXings, 3.0);
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| 260 | removeRegionWithMaxOnEdge( *zXings, 2);
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| 261 | removeRegionOnFallingEdge( *zXings, 100);
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| 262 |
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| 263 | //following Code should produce the Overlay of peaks
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| 264 | vector<Region>::iterator it;
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| 265 | for (it = zXings->begin() ; it < zXings->end() ; it++){
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| 266 | if (it->maxPos < 12 || it->maxPos > RegionOfInterest-12)
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| 267 | continue;
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| 268 | domstest->Fill(it->maxPos);
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| 269 | int Left = it->maxPos - OverlayWindowLeft;
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| 270 | int Right = it->maxPos + OverlayWindowRight;
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| 271 | if (Left < 0)
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| 272 | Left =0;
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| 273 | if (Right > (int)Vcorr.size() )
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| 274 | Right=Vcorr.size() ;
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| 275 | for ( int pos = Left; pos < Right; pos++){
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| 276 | hPeakOverlay->Fill( pos - (it->maxPos), Vslide[pos]) ;
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| 277 | // hPixelPeakOverlay->Fill( pos - (it->maxPos), Vcorr[pos]) ;
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| 278 | // hEventPeakOverlay->Fill( pos - (it->maxPos), 2*Vcorr[pos]) ;
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| 279 | }
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| 280 | }
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| 281 |
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| 282 |
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| 283 | if ( spikeDebug ){
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| 284 | // TODO do this correct. The vectors should be the rigt ones... this is just luck
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| 285 | debugHistos[Ameas_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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| 286 | debugHistos[Vcorr_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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| 287 | debugHistos[Vslide_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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| 288 | debugHistos[Vcfd_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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| 289 | debugHistos[Vcfd2_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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| 290 |
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| 291 | for ( unsigned int sl = 0; sl < RegionOfInterest; sl++){
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| 292 | debugHistos[Ameas_].SetBinContent(sl, Ameas[sl]);
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| 293 | debugHistos[Vcorr_].SetBinContent(sl, Vcorr[sl]);
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| 294 | debugHistos[Vslide_].SetBinContent( sl, Vslide[sl] );
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| 295 | debugHistos[Vcfd_].SetBinContent( sl, Vcfd[sl] );
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| 296 | debugHistos[Vcfd2_].SetBinContent( sl, Vcfd2[sl] );
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| 297 | }
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| 298 |
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| 299 |
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| 300 | cFiltered->cd(1);
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| 301 | gPad->SetGrid();
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| 302 | debugHistos[Vcorr_].Draw();
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| 303 |
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| 304 | cFiltered->cd(2);
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| 305 | gPad->SetGrid();
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| 306 | debugHistos[Vslide_].Draw();
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| 307 |
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| 308 | TBox *OneBox;
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| 309 | vector<TBox*> MyBoxes;
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| 310 | for (unsigned int i=0; i<zXings->size(); i++){
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| 311 | OneBox = new TBox(
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| 312 | zXings->at(i).maxPos -10 ,
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| 313 | zXings->at(i).maxVal -0.5,
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| 314 | zXings->at(i).maxPos +10 ,
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| 315 | zXings->at(i).maxVal +0.5);
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| 316 | OneBox->SetLineColor(kBlue);
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| 317 | OneBox->SetLineWidth(1);
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| 318 | OneBox->SetFillStyle(0);
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| 319 | OneBox->SetFillColor(kRed);
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| 320 | MyBoxes.push_back(OneBox);
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| 321 | OneBox->Draw();
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| 322 | }
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| 323 |
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| 324 | cFiltered->cd(3);
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| 325 | gPad->SetGrid();
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| 326 | debugHistos[Vcfd2_].Draw();
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| 327 | TLine *zeroline = new TLine(0, 0, 1024, 0);
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| 328 | zeroline->SetLineColor(kBlue);
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| 329 | zeroline->Draw();
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| 330 |
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| 331 | cFiltered->Update();
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| 332 |
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| 333 | //OVERLAY PEAKS
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| 334 | cPeakOverlay->cd(1);
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| 335 | hPeakOverlay->Draw("COLZ");
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| 336 | cPeakOverlay->Modified();
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| 337 | cPeakOverlay->Update();
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| 338 |
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| 339 | //Process gui events asynchronously during input
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| 340 | TTimer timer("gSystem->ProcessEvents();", 50, kFALSE);
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| 341 | timer.TurnOn();
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| 342 | TString input = Getline("Type 'q' to exit, <return> to go on: ");
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| 343 | timer.TurnOff();
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| 344 | if (input=="q\n") {
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| 345 | breakout=true;
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| 346 | }
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| 347 |
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| 348 | //TODO!!!!!!!!!
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| 349 | // do some Garbage collection ...
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| 350 | // all the Objects on the heap should be deleted here.
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| 351 |
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| 352 | }// end of if(spikeDebug)
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| 353 |
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| 354 | delete zXings;
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| 355 | if (breakout)
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| 356 | break;
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| 357 |
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| 358 | }
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| 359 | //-------------------------------------
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| 360 | // end of loop over pixels
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| 361 | //-------------------------------------
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| 362 | if (ProduceGraphic){
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| 363 | if (ev % 50 == 0){
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| 364 |
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| 365 | //OVERLAY PEAKS
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| 366 | cPeakOverlay->cd(1);
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| 367 | hPeakOverlay->Draw("COLZ");
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| 368 | cPeakOverlay->cd(2);
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| 369 | // hMaxPeakOverlay->Draw("");
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| 370 | cPeakOverlay->Modified();
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| 371 | cPeakOverlay->Update();
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| 372 | }
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| 373 | }
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| 374 | if (breakout)
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| 375 | break;
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| 376 | }
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| 377 |
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| 378 | //-------------------------------------
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| 379 | // end of loop over Events
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| 380 | //-------------------------------------
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| 381 |
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| 382 | //-------------------------------------
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| 383 | // Histogramm of Maximas in Overlay Spectra
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| 384 | //-------------------------------------
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| 385 | // resize vector SingleMaximum to number of timeslices in Overlay Spectra
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| 386 | SingleMaximum.resize(hPeakOverlay->GetNbinsX());
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| 387 |
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| 388 | //put maximumvalue of every Y-projection of every timeslice into vector
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| 389 | for (int TimeSlice = 0; TimeSlice <= hPeakOverlay->GetNbinsX(); TimeSlice++ ){
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| 390 | TH1D* hProjPeak = hPeakOverlay->ProjectionY("proj_py", TimeSlice, TimeSlice, "");
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| 391 | SingleMaximum[ TimeSlice ].maxAmpl = (hProjPeak->GetMaximumBin() * 0.5) - 54;
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| 392 | SingleMaximum[ TimeSlice ].countOfMax = hProjPeak->GetBinContent( hProjPeak->GetMaximumBin() );
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| 393 | hMaxPeakOverlay->SetBinContent(TimeSlice, SingleMaximum[ TimeSlice ].maxAmpl );
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| 394 | }
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| 395 | hMaxPeakOverlay->Fit("landau", "", "", -50, 250);
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| 396 |
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| 397 | //-------------------------------------
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| 398 | // Draw Histograms
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| 399 | //-------------------------------------
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| 400 | if (ProduceGraphic){
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| 401 | //OVERLAY PEAKS
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| 402 | cPeakOverlay->cd(1);
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| 403 | hPeakOverlay->Draw("COLZ");
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| 404 | cPeakOverlay->cd(2);
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| 405 | hMaxPeakOverlay->Draw("");
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| 406 | cPeakOverlay->Modified();
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| 407 | cPeakOverlay->Update();
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| 408 |
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| 409 | // cPixelPeakOverlay->cd();
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| 410 | // hPixelPeakOverlay->Draw("COLZ");
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| 411 | // cPixelPeakOverlay->Modified();
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| 412 | // cPixelPeakOverlay->Update();
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| 413 |
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| 414 | }
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| 415 | SaveHistograms( OutRootFileName );
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| 416 |
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| 417 | return( 0 );
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| 418 | }
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| 419 |
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| 420 | // booking and parameter settings for all histos
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| 421 | void BookHistos( ){
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| 422 |
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| 423 | debugHistos = new TH1F[ NumberOfDebugHistoTypes ];
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| 424 | for ( int type = 0; type < NumberOfDebugHistoTypes; type++){
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| 425 | debugHistos[ type ].SetBins(1024, 0, 1024);
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| 426 | debugHistos[ type ].SetLineColor(1);
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| 427 | debugHistos[ type ].SetLineWidth(2);
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| 428 |
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| 429 | // set X axis paras
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| 430 | debugHistos[ type ].GetXaxis()->SetLabelSize(0.1);
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| 431 | debugHistos[ type ].GetXaxis()->SetTitleSize(0.1);
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| 432 | debugHistos[ type ].GetXaxis()->SetTitleOffset(1.2);
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| 433 | debugHistos[ type ].GetXaxis()->SetTitle(Form("Time slice (%.1f ns/slice)", 1./2.));
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| 434 |
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| 435 | // set Y axis paras
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| 436 | debugHistos[ type ].GetYaxis()->SetLabelSize(0.1);
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| 437 | debugHistos[ type ].GetYaxis()->SetTitleSize(0.1);
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| 438 | debugHistos[ type ].GetYaxis()->SetTitleOffset(0.3);
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| 439 | debugHistos[ type ].GetYaxis()->SetTitle("Amplitude (a.u.)");
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| 440 | }
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| 441 | /*
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| 442 | ProjHistos = new TH1D[ NumberOfTimeSlices ];
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| 443 | for ( int type = 0; type < NumberOfTimeSlices; type++){
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| 444 | ProjHistos[ type ].SetBins(1024, 0, 1024);
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| 445 | ProjHistos[ type ].SetLineColor(1);
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| 446 | ProjHistos[ type ].SetLineWidth(2);
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| 447 |
|
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| 448 | // set X axis paras
|
|---|
| 449 | ProjHistos[ type ].GetXaxis()->SetLabelSize(0.1);
|
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| 450 | ProjHistos[ type ].GetXaxis()->SetTitleSize(0.1);
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| 451 | ProjHistos[ type ].GetXaxis()->SetTitleOffset(1.2);
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| 452 | ProjHistos[ type ].GetXaxis()->SetTitle(Form("Time slice (%.1f ns/slice)", 1./2.));
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| 453 |
|
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| 454 | // set Y axis paras
|
|---|
| 455 | ProjHistos[ type ].GetYaxis()->SetLabelSize(0.1);
|
|---|
| 456 | ProjHistos[ type ].GetYaxis()->SetTitleSize(0.1);
|
|---|
| 457 | ProjHistos[ type ].GetYaxis()->SetTitleOffset(0.3);
|
|---|
| 458 | ProjHistos[ type ].GetYaxis()->SetTitle("Amplitude (a.u.)");
|
|---|
| 459 | }
|
|---|
| 460 | */
|
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| 461 | hPeakOverlay = new TH2F("hPeakOverlay", "Overlay of detected Peaks",
|
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| 462 | hPeakOverlayXaxisLeft + hPeakOverlayXaxisRight , (-1*hPeakOverlayXaxisLeft)-0.5, hPeakOverlayXaxisRight-0.5 ,
|
|---|
| 463 | 512, -55.5, 200.5 );
|
|---|
| 464 | hPeakOverlay->GetXaxis()->SetTitle( "Timeslices" );
|
|---|
| 465 | hPeakOverlay->GetYaxis()->SetTitle( "Amplitude [a.u.]" );
|
|---|
| 466 | //hPeakOverlay->SetBit(TH2F::kCanRebin);
|
|---|
| 467 | hList.Add( hPeakOverlay );
|
|---|
| 468 |
|
|---|
| 469 | hMaxPeakOverlay = new TH1F("hMaxPeakOverlay", "Single Peak derived with Maximum of above Spektrum",
|
|---|
| 470 | hPeakOverlayXaxisLeft + hPeakOverlayXaxisRight ,
|
|---|
| 471 | (-1*hPeakOverlayXaxisLeft)-0.5,
|
|---|
| 472 | hPeakOverlayXaxisRight-0.5
|
|---|
| 473 | );
|
|---|
| 474 | hMaxPeakOverlay->GetXaxis()->SetTitle( "Timeslices" );
|
|---|
| 475 | hMaxPeakOverlay->GetYaxis()->SetTitle( "Amplitude [a.u.]" );
|
|---|
| 476 | hList.Add( hMaxPeakOverlay );
|
|---|
| 477 |
|
|---|
| 478 | // hPixelPeakOverlay = new TH2F("hPixelPeakOverlay", "Maximum of Statistic of overlayed Peaks",
|
|---|
| 479 | // hPeakOverlayXaxisLeft + hPeakOverlayXaxisRight , (-1*hPeakOverlayXaxisLeft)-0.5, hPeakOverlayXaxisRight-0.5 ,
|
|---|
| 480 | // 512, -55.5, 200.5 );
|
|---|
| 481 | // hPixelPeakOverlay->GetXaxis()->SetTitle( "Timeslices" );
|
|---|
| 482 | // hPixelPeakOverlay->GetYaxis()->SetTitle( "Amplitude [a.u.]" );
|
|---|
| 483 | // hList.Add( hPixelPeakOverlay );
|
|---|
| 484 |
|
|---|
| 485 | // hEventPeakOverlay = new TH2F("hEventPeakOverlay", "Overlay of detected Peaks of all Pixel of one Event",
|
|---|
| 486 | // hPeakOverlayXaxisLeft + hPeakOverlayXaxisRight , (-1*hPeakOverlayXaxisLeft)-0.5, hPeakOverlayXaxisRight-0.5 ,
|
|---|
| 487 | // 4096, -48.5, 200.5 );
|
|---|
| 488 | // hEventPeakOverlay->GetXaxis()->SetTitle( "Timeslices" );
|
|---|
| 489 | // hEventPeakOverlay->GetYaxis()->SetTitle( "Amplitude [a.u.]" );
|
|---|
| 490 | // hList.Add( hEventPeakOverlay );
|
|---|
| 491 |
|
|---|
| 492 | }
|
|---|
| 493 |
|
|---|
| 494 | void SaveHistograms(const char * loc_fname ){
|
|---|
| 495 | // create the histogram file (replace if already existing)
|
|---|
| 496 | TFile tf( loc_fname, "RECREATE");
|
|---|
| 497 |
|
|---|
| 498 | hList.Write(); // write the major histograms into the top level directory
|
|---|
| 499 |
|
|---|
| 500 | tf.Close(); // close the file
|
|---|
| 501 | } // end of SaveHistograms( char * loc_fname )
|
|---|
| 502 |
|
|---|