1 | #include <TROOT.h>
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2 | #include <TCanvas.h>
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3 | #include <TProfile.h>
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4 | #include <TTimer.h>
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5 | #include <TH1F.h>
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6 | #include <TH2F.h>
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7 | #include <Getline.h>
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8 | #include <TLine.h>
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9 | #include <TBox.h>
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10 | #include <TMath.h>
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11 | #include <TFile.h>
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12 | #include <TStyle.h>
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13 |
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14 | #include <stdio.h>
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15 | #include <stdint.h>
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16 | #include <cstdio>
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17 | #include <deque>
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18 |
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19 | #define NPIX 1440
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20 | #define NCELL 1024
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21 | #define FAD_MAX_SAMPLES 1024
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22 |
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23 | #define HAVE_ZLIB
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24 | #include "fits.h"
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25 | #include "FOpenCalibFile.c"
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26 |
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27 | #include "discriminator.h"
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28 | #include "discriminator.C"
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29 | #include "zerosearch.h"
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30 | #include "zerosearch.C"
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31 | #include "factfir.C"
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32 |
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33 | #include "FOpenDataFile.h"
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34 | #include "FOpenDataFile.c"
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35 |
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36 | #include "DrsCalibration.C"
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37 | #include "DrsCalibration.h"
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38 |
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39 | #include "SpikeRemoval.h"
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40 | #include "SpikeRemoval.C"
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41 |
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42 | bool breakout=false;
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43 |
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44 | int NEvents;
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45 | vector<int16_t> AllPixelDataVector;
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46 | vector<int16_t> StartCellVector;
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47 | unsigned int CurrentEventID;
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48 | size_t PXLxROI;
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49 | UInt_t RegionOfInterest;
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50 | UInt_t NumberOfPixels;
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51 |
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52 | size_t drs_n;
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53 | vector<float> drs_basemean;
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54 | vector<float> drs_gainmean;
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55 | vector<float> drs_triggeroffsetmean;
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56 |
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57 | vector<float> Ameas(FAD_MAX_SAMPLES); // copy of the data (measured amplitude
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58 | vector<float> Vcorr(FAD_MAX_SAMPLES); // corrected Values
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59 | vector<float> Vslide(FAD_MAX_SAMPLES); // sliding average result
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60 | vector<float> Vcfd(FAD_MAX_SAMPLES); // CDF result
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61 | vector<float> Vcfd2(FAD_MAX_SAMPLES); // CDF result + 2nd sliding average
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62 |
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63 | // histograms
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64 | const int NumberOfDebugHistoTypes = 7;
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65 | const unsigned int
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66 | Ameas_ = 0,
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67 | N1mean_ = 1,
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68 | Vcorr_ = 2,
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69 | Vtest_ = 3,
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70 | Vslide_ = 4,
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71 | Vcfd_ = 5,
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72 | Vcfd2_ = 6;
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73 |
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74 | TH1F* h;
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75 | TH1F *debugHistos;
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76 | TH2F* hStartCell; // id of the DRS physical pipeline cell where readout starts
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77 | // x = pixel id, y = DRS cell id
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78 |
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79 | TH2F * hAmplSpek_cfd;
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80 | TObjArray hList;
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81 |
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82 | void BookHistos( );
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83 | void SaveHistograms(const char * );
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84 |
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85 | ///////////////////////////////////////////////////////////////////////////////
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86 | ///////////////////////////////////////////////////////////////////////////////
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87 | ///////////////////////////////////////////////////////////////////////////////
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88 | // read FACT raw data
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89 | // * remove spikes
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90 | // * calculate baseline
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91 | // * find peaks (CFD and normal discriminator)
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92 | // * compute pulse height and pulse integral spektrum of the peaks
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93 | int fpeak(
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94 | char *datafilename = "data/20111016_013.fits.gz",
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95 | const char *drsfilename = "../../20111016_011.drs.fits.gz",
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96 | const char *OutRootFileName = "../analysis/fpeak_cdf.Coutput.root",
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97 | int firstevent = 0,
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98 | int nevents = -1,
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99 | int firstpixel = 0,
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100 | int npixel = -1,
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101 | bool spikeDebug = false,
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102 | int avg1 = 14,
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103 | int avg2 = 8,
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104 | int verbosityLevel = 1, // different verbosity levels can be implemented here
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105 | bool ProduceGraphic = true
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106 | )
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107 | {
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108 | gStyle->SetPalette(1,0);
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109 | gROOT->SetStyle("Plain");
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110 |
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111 | TCanvas *cFiltered = NULL;
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112 | if (spikeDebug){
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113 | cFiltered = new TCanvas("cFiltered","filtered DRS Waveforms",410,410,400,400);
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114 | cFiltered->Divide(1, 4);
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115 | }
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116 |
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117 |
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118 |
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119 | // CFD filter settings
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120 | int k_cfd = 10;
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121 | vector<double> a_cfd(k_cfd, 0);
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122 | double b_cfd = 1.;
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123 | a_cfd[0]=-0.75;
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124 | a_cfd[k_cfd-1]=1.;
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125 |
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126 | fits * datafile;
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127 | // Opens the raw data file and 'binds' the variables given as
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128 | // Parameters to the data file. So they are filled with
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129 | // raw data as soon as datafile->GetRow(int) is called.
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130 | NEvents = OpenDataFile( datafilename, &datafile,
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131 | AllPixelDataVector, StartCellVector, CurrentEventID,
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132 | RegionOfInterest, NumberOfPixels, PXLxROI, verbosityLevel);
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133 | if (NEvents == 0){
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134 | cout << "return code of FOpenDataFile:" << datafilename<< endl;
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135 | cout << "is zero -> aborting." << endl;
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136 | return 1;
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137 | }
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138 |
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139 | if (verbosityLevel > 0)
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140 | cout <<"number of events in file: "<< NEvents << "\t";
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141 | if ( nevents == -1 || nevents > NEvents ) nevents = NEvents; // -1 means all!
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142 | if (verbosityLevel > 0)
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143 | cout <<"of, which "<< nevents << "will be processed"<< endl;
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144 |
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145 | if (verbosityLevel > 0)
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146 | cout <<"Total # of Pixel: "<< NumberOfPixels << "\t";
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147 | if ( npixel == -1 || npixel > (int)NumberOfPixels ) npixel = (int)NumberOfPixels; // -1 means all!
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148 | if (verbosityLevel > 0)
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149 | cout <<"of, which "<< npixel << "will be processed"<< endl;
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150 |
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151 |
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152 |
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153 | //Get the DRS calibration
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154 | FOpenCalibFile( drsfilename,
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155 | drs_basemean,
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156 | drs_gainmean,
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157 | drs_triggeroffsetmean,
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158 | drs_n);
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159 |
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160 | BookHistos( );
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161 |
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162 | for ( int ev = firstevent; ev < firstevent + nevents; ev++) {
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163 | // Get an Event --> consists of 1440 Pixel ...erm....data
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164 | datafile->GetRow( ev );
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165 |
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166 | for ( int pix = firstpixel; pix < firstpixel+npixel; pix++ ){
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167 | if (verbosityLevel > 0){
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168 | if (pix == firstpixel){
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169 | cout << "Processing Event: " << CurrentEventID << "/" << nevents << endl;
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170 | }
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171 | }
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172 |
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173 | applyDrsCalibration( Ameas,pix,12,12,
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174 | drs_basemean, drs_gainmean, drs_triggeroffsetmean,
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175 | RegionOfInterest, AllPixelDataVector, StartCellVector);
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176 |
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177 | // finds spikes in the raw data, and interpolates the value
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178 | // spikes are: 1 or 2 slice wide, positive non physical artifacts
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179 | removeSpikes (Ameas, Vcorr);
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180 |
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181 | // filter Vcorr with sliding average using FIR filter function
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182 | sliding_avg(Vcorr, Vslide, avg1);
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183 | // filter Vslide with CFD using FIR filter function
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184 | factfir(b_cfd , a_cfd, k_cfd, Vslide, Vcfd);
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185 | // filter Vcfd with sliding average using FIR filter function
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186 | sliding_avg(Vcfd, Vcfd2, avg2);
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187 |
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188 |
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189 | // peaks in Ameas[] are found by searching for zero crossings
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190 | // in Vcfd2
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191 | // first Argument 1 means ... *rising* edge
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192 | // second Argument 1 means ... search with stepsize 1 ... 8 is okay as well
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193 | vector<Region> * zXings = zerosearch( Vcfd2 , 1 , 8);
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194 | // zXings means "zero cross ings"
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195 | EnlargeRegion( *zXings, 10, 10);
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196 | findAbsMaxInRegions( *zXings, Vslide);
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197 | removeMaximaBelow( *zXings, 3.0, 0);
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198 | removeRegionWithMaxOnEdge( *zXings, 2);
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199 | removeRegionOnFallingEdge( *zXings, 100);
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200 |
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201 | // fill maxima in Histogram
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202 | if (zXings->size() != 0 ){
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203 | for (unsigned int i=0; i<zXings->size(); i++){
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204 | if (verbosityLevel > 1){
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205 | cout << zXings->at(i).maxPos << ":\t"
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206 | << zXings->at(i).maxVal <<endl;
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207 | }
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208 | hAmplSpek_cfd->Fill(pix, zXings->at(i).maxVal);
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209 | }
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210 | }
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211 |
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212 | if ( spikeDebug ){
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213 |
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214 | // TODO do this correct. The vectors should be the rigt ones... this is just luck
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215 | debugHistos[Ameas_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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216 | debugHistos[Vcorr_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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217 | debugHistos[Vslide_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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218 | debugHistos[Vcfd_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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219 | debugHistos[Vcfd2_].GetXaxis()->Set(Ameas.size() , -0.5 , Ameas.size()-0.5);
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220 |
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221 | for ( unsigned int sl = 0; sl < RegionOfInterest; sl++){
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222 | debugHistos[Ameas_].SetBinContent(sl, Ameas[sl]);
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223 | debugHistos[Vcorr_].SetBinContent(sl, Vcorr[sl]);
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224 | debugHistos[Vslide_].SetBinContent( sl, Vslide[sl] );
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225 | debugHistos[Vcfd_].SetBinContent( sl, Vcfd[sl] );
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226 | debugHistos[Vcfd2_].SetBinContent( sl, Vcfd2[sl] );
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227 | }
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228 |
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229 | cFiltered->cd(1);
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230 | gPad->SetGrid();
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231 | debugHistos[Ameas_].Draw();
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232 |
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233 | cFiltered->cd(2);
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234 | gPad->SetGrid();
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235 | debugHistos[Vcorr_].Draw();
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236 |
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237 | cFiltered->cd(3);
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238 | gPad->SetGrid();
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239 | debugHistos[Vslide_].Draw();
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240 |
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241 | TBox *OneBox;
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242 | vector<TBox*> MyBoxes;
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243 | for (unsigned int i=0; i<zXings->size(); i++){
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244 | OneBox = new TBox(
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245 | zXings->at(i).maxPos -10 ,
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246 | zXings->at(i).maxVal -0.5,
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247 | zXings->at(i).maxPos +10 ,
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248 | zXings->at(i).maxVal +0.5);
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249 | OneBox->SetLineColor(kBlue);
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250 | OneBox->SetLineWidth(1);
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251 | OneBox->SetFillStyle(0);
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252 | OneBox->SetFillColor(kRed);
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253 | MyBoxes.push_back(OneBox);
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254 | OneBox->Draw();
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255 | }
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256 |
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257 | cFiltered->cd(4);
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258 | gPad->SetGrid();
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259 | debugHistos[Vcfd2_].Draw();
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260 | TLine *zeroline = new TLine(0, 0, 1024, 0);
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261 | zeroline->SetLineColor(kBlue);
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262 | zeroline->Draw();
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263 |
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264 | cFiltered->Update();
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265 | //Process gui events asynchronously during input
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266 | TTimer timer("gSystem->ProcessEvents();", 50, kFALSE);
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267 | timer.TurnOn();
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268 | TString input = Getline("Type 'q' to exit, <return> to go on: ");
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269 | timer.TurnOff();
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270 | if (input=="q\n") {
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271 | breakout=true;
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272 | }
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273 |
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274 | //TODO!!!!!!!!!
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275 | // do some Garbage collection ...
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276 | }// end of if(spikeDebug)
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277 |
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278 | delete zXings;
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279 | if (breakout)
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280 | break;
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281 |
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282 | } // end of loop over pixels
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283 |
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284 | if (breakout)
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285 | break;
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286 | } // end of loop over pixels
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287 | if (ProduceGraphic){
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288 | TCanvas * cSpektrum;
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289 | cSpektrum = new TCanvas("cSpektrum","Amplitude Spektra of different discriminators",10,10,400,400);
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290 | cSpektrum->Divide(1,1);
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291 | cSpektrum->cd(1);
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292 | hAmplSpek_cfd->Draw("COLZ");
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293 | cSpektrum->Modified();
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294 | cSpektrum->Update();
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295 | }
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296 | SaveHistograms( OutRootFileName );
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297 | return( 0 );
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298 | }
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299 |
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300 | // booking and parameter settings for all histos
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301 | void BookHistos( ){
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302 | // histograms for baseline extraction
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303 |
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304 | TString name,title;
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305 | title = "all events all slices of pixel ";
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306 | name = "base";
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307 |
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308 | hAmplSpek_cfd = new TH2F("hAmplSpek_cfd","amplitude spektrum - CFD",1440,-0.5,1439.5, 256, -27.5, 100.5);
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309 | hAmplSpek_cfd->GetXaxis()->SetTitle( "pixel" );
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310 | hAmplSpek_cfd->GetYaxis()->SetTitle( "amplitude in mV" );
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311 | hList.Add( hAmplSpek_cfd );
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312 |
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313 |
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314 | debugHistos = new TH1F[ NumberOfDebugHistoTypes ];
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315 | for ( int type = 0; type < NumberOfDebugHistoTypes; type++){
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316 | debugHistos[ type ].SetBins(1024, 0, 1024);
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317 | debugHistos[ type ].SetLineColor(1);
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318 | debugHistos[ type ].SetLineWidth(2);
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319 |
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320 | // set X axis paras
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321 | debugHistos[ type ].GetXaxis()->SetLabelSize(0.1);
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322 | debugHistos[ type ].GetXaxis()->SetTitleSize(0.1);
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323 | debugHistos[ type ].GetXaxis()->SetTitleOffset(1.2);
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324 | debugHistos[ type ].GetXaxis()->SetTitle(Form("Time slice (%.1f ns/slice)", 1./2.));
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325 |
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326 | // set Y axis paras
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327 | debugHistos[ type ].GetYaxis()->SetLabelSize(0.1);
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328 | debugHistos[ type ].GetYaxis()->SetTitleSize(0.1);
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329 | debugHistos[ type ].GetYaxis()->SetTitleOffset(0.3);
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330 | debugHistos[ type ].GetYaxis()->SetTitle("Amplitude (a.u.)");
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331 | }
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332 | }
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333 |
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334 | void SaveHistograms( const char * loc_fname ){
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335 | // create the histogram file (replace if already existing)
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336 | TFile tf( loc_fname, "RECREATE");
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337 |
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338 | hList.Write(); // write the major histograms into the top level directory
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339 |
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340 | tf.Close(); // close the file
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341 | }
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