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 <TMath.h>
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10 | #include <TFile.h>
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11 |
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12 | #include <stdio.h>
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13 | #include <stdint.h>
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14 | #include <cstdio>
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15 |
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16 | #define HAVE_ZLIB
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17 | #include "fits.h"
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18 |
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19 | #include "openFits.h"
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20 | #include "openFits.c"
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21 |
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22 | #include "DrsCalibration.h"
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23 | #include "DrsCalibration.C"
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24 |
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25 | #include "SpikeRemoval.h"
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26 | #include "SpikeRemoval.C"
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27 |
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28 | //#include "zerosearch.C"
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29 | #include "factfir.C"
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30 |
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31 | #define NPIX 1440
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32 | #define NCELL 1024
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33 |
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34 | // data access and treatment
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35 | #define FAD_MAX_SAMPLES 1024
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36 |
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37 | int NEvents;
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38 | vector<int16_t> Data; // vector, which will be filled with raw data
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39 | vector<int16_t> StartCells; // vector, which will be filled with DRS start positions
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40 | unsigned int EventID; // index of the current event
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41 | UInt_t RegionOfInterest; // Width of the Region, read out of the DRS
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42 | UInt_t NumberOfPixels; // Total number of pixel, read out of the camera
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43 | size_t PXLxROI; // Size of column "Data" = #Pixel x ROI
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44 |
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45 | int NBSLeve = 1000;
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46 |
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47 | size_t TriggerOffsetROI, RC;
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48 | vector<float> Offset, Gain, TriggerOffset;
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49 |
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50 |
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51 | vector<float> Ameas(FAD_MAX_SAMPLES); // copy of the data (measured amplitude
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52 | vector<float> N1mean(FAD_MAX_SAMPLES); // mean of the +1 -1 ch neighbors
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53 | vector<float> N2mean(FAD_MAX_SAMPLES); // mean of the +2 -2 ch neighbors
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54 | vector<float> Vcorr(FAD_MAX_SAMPLES); // corrected Values
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55 | vector<float> Vdiff(FAD_MAX_SAMPLES); // numerical derivative
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56 |
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57 | vector<float> Vslide(FAD_MAX_SAMPLES); // sliding average result
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58 | vector<float> Vcfd(FAD_MAX_SAMPLES); // CDF result
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59 | vector<float> Vcfd2(FAD_MAX_SAMPLES); // CDF result + 2nd sliding average
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60 |
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61 |
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62 |
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63 | // histograms
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64 | const int Ntypes = 7;
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65 | const unsigned int // arranged by Dominik
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66 | tAmeas = 0,
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67 | tN1mean = 1,
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68 | tVcorr = 2,
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69 | tVtest = 3,
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70 | tVslide = 4,
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71 | tVcfd = 5,
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72 | tVcfd2 = 6;
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73 |
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74 | TH1F* h;
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75 | TH2F hPixelCellData(
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76 | "PixelPedestal", "PixelPedestal", NCELL, 0., NCELL, 200, -50., 150.);
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77 | TH1F *hBaseline[ NPIX ]; // histograms for baseline extraction
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78 | TH1F *hMeanBsl, *hpltMeanBsl;
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79 | TH1F *hRmsBsl, *hpltRmsBsl;
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80 | TObjArray hList;
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81 | TObjArray hListBaseline;
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82 |
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83 | void BookHistos( int , int);
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84 | void SaveHistograms( const char * );
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85 |
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86 | // Create a canvas
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87 | TCanvas* CW;
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88 | TCanvas* cFilter;
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89 |
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90 |
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91 | int fbsl(
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92 | const char *datafilename = "path-to-datafile.fits.gz",
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93 | const char *drsfilename = "path-to-calibfile.drs.fits.gz",
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94 | int firstevent = 0,
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95 | int nevents = -1,
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96 | int firstpixel = 0,
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97 | int npixel = -1,
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98 | const char *TextOutFileName = "",
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99 | const char *RootOutFileName = "",
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100 | bool produceGraphic = true
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101 | ){
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102 | fits * datafile = NULL;
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103 |
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104 | NEvents = openDataFits(
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105 | datafilename,
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106 | &datafile,
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107 | Data,
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108 | StartCells,
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109 | EventID,
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110 | RegionOfInterest,
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111 | NumberOfPixels,
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112 | PXLxROI);
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113 |
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114 | printf("number of events in file: %d\n", NEvents);
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115 | if (NEvents == 0){
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116 | cout << "return code of openDataFits:" << datafilename<< endl;
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117 | cout << "is zero -> aborting." << endl;
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118 | return 1;
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119 | }
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120 |
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121 |
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122 | // compare the number of events in the data file with the nevents the
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123 | // the user would like to read. nevents = -1 means: read all
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124 | if ( nevents == -1 || nevents > NEvents ) nevents = NEvents;
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125 | if ( npixel == -1 || npixel > (int)NumberOfPixels) npixel = NumberOfPixels;
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126 |
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127 | RC = openCalibFits( drsfilename, Offset, Gain, TriggerOffset, TriggerOffsetROI);
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128 | if (RC == 0){
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129 | cout << "return code of openCalibFits:" << drsfilename << endl;
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130 | cout << "is zero -> aborting." << endl;
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131 | return 1;
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132 | }
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133 |
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134 |
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135 | BookHistos( RegionOfInterest, npixel );
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136 | size_t calib_RC = 1;
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137 |
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138 | // loop over events
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139 | for ( int ev = firstevent; ev < firstevent + nevents; ev++) {
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140 |
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141 | datafile->GetRow( ev );
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142 |
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143 | if( ev % 100 == 0){
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144 | cout << "Event ID: " << EventID << endl;
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145 | }
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146 |
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147 | // loop over pixel
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148 | for ( int pix = firstpixel ; pix < npixel+firstpixel ; pix++ ){
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149 |
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150 |
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151 | // get the data of this pixel from the Data vector
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152 | // apply the Drs Calibration and cut off 12 slices at the beginning
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153 | // and at the end.
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154 | calib_RC = applyDrsCalibration( Ameas,pix,12,12,
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155 | Offset, Gain, TriggerOffset,
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156 | RegionOfInterest, Data, StartCells);
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157 | if (calib_RC == 0){
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158 | break;
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159 | }
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160 |
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161 | // finds spikes in the raw data, and interpolates the value
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162 | // spikes are: 1 or 2 slice wide, positive non physical artifacts
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163 | removeSpikes (Ameas, Vcorr);
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164 |
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165 | // filter Vcorr with sliding average using FIR filter function
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166 | // 8 is here the HalfWidth of the sliding average window.
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167 | sliding_avg(Vcorr, Vslide, 8);
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168 |
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169 | for ( unsigned int sl = 0; sl < Vslide.size() ; sl++){
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170 | // hPixelCellData.Fill( sl, Vcorr[sl] );
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171 | hBaseline[pix-firstpixel]->Fill( Vslide[sl] ) ;
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172 | }
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173 | }
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174 |
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175 | if (calib_RC == 0){
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176 | break;
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177 | }
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178 |
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179 | }
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180 |
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181 |
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182 | if (calib_RC == 0){
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183 | cout << "DRS Calibration didn't work ... aborting" << endl;
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184 | return 2;
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185 | }
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186 |
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187 | FILE *fp;
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188 | TString fName;
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189 |
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190 | fName = TextOutFileName;
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191 | if (fName.Length() != 0){
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192 | cout << "saving text to " << TextOutFileName << endl;
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193 |
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194 |
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195 | fp = fopen(fName, "a+");
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196 | fprintf( fp, "FILE: %s\n", datafilename );
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197 | fprintf( fp, "NEVENTS: %d\n", nevents);
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198 | NBSLeve = nevents; // this has to be changed when computation on a subset of a run is implemented
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199 | fprintf( fp, "NBSLEVE: %d\n", NBSLeve );
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200 |
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201 | for (int pix = firstpixel; pix < firstpixel+npixel; pix++) {
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202 | float vmaxprob = hBaseline[pix-firstpixel]->GetXaxis()->GetBinCenter(
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203 | hBaseline[pix-firstpixel]->GetMaximumBin() );
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204 |
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205 | fprintf( fp, "%8.3f", vmaxprob );
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206 |
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207 | hMeanBsl->Fill( vmaxprob );
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208 | hpltMeanBsl->SetBinContent(pix+1, vmaxprob );
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209 |
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210 | hRmsBsl->Fill(hBaseline[pix-firstpixel]->GetRMS() );
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211 | hpltRmsBsl->SetBinContent( pix+1, hBaseline[pix]->GetRMS() );
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212 | }
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213 | fprintf( fp, "\n" );
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214 |
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215 | fclose( fp );
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216 | }
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217 | if (RootOutFileName != ""){
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218 | cout << "saving histograms to " << RootOutFileName << endl;
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219 | SaveHistograms( RootOutFileName );
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220 | }
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221 | if (produceGraphic){
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222 | TCanvas * cMeanBsl = new TCanvas();
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223 | cMeanBsl->cd();
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224 | hMeanBsl->Draw();
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225 | cMeanBsl->Update();
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226 |
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227 | TCanvas * cRmsBsl = new TCanvas();
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228 | cRmsBsl->cd();
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229 | hRmsBsl->Draw();
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230 | cMeanBsl->Update();
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231 | }
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232 | return( 0 );
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233 | }
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234 |
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235 | void BookHistos( int Samples , int NumberOfPixel){
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236 | // booking and parameter settings for all histos
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237 |
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238 | // histograms for baseline extraction
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239 | char hName[500];
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240 | char hTitle[500];
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241 |
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242 | TH1F *h;
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243 |
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244 | printf("inside BookHistos\n");
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245 |
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246 | for( int i = 0; i < NumberOfPixel; i++ ) {
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247 |
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248 | // printf("call sprintf [%d]\n", i );
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249 | sprintf(&hTitle[0],"all events all slices of pixel %d", i);
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250 | sprintf(&hName[0],"base%d", i);
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251 | // printf("call sprintf [%d] done\n", i );
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252 |
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253 | h = new TH1F( hName, hTitle, 400, -99.5 ,100.5 );
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254 |
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255 | // printf("histo booked\n");
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256 | h->GetXaxis()->SetTitle( "Sample value (mV)" );
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257 | h->GetYaxis()->SetTitle( "Entries / 0.5 mV" );
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258 | // printf("histo title set\n");
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259 | hListBaseline.Add( h );
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260 | // printf("histo added to List\n");
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261 | hBaseline[i] = h;
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262 | // printf("histo assigned to array\n");
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263 | }
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264 |
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265 | printf("made HBaseline * 1440\n");
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266 |
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267 | hMeanBsl = new TH1F("histo_mean","Value of maximal probability",400,-99.5,100.5);
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268 | hMeanBsl->GetXaxis()->SetTitle( "max value (mV)" );
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269 | hMeanBsl->GetYaxis()->SetTitle( "Entries / 0.5 mV" );
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270 | hList.Add( hMeanBsl );
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271 |
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272 | hpltMeanBsl = new TH1F("hplt_mean","Value of maximal probability",1440,-0.5,1439.5);
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273 | hpltMeanBsl->GetXaxis()->SetTitle( "pixel" );
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274 | hpltMeanBsl->GetYaxis()->SetTitle( "max value in mV" );
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275 | hList.Add( hpltMeanBsl );
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276 |
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277 | hRmsBsl = new TH1F("histo_rms","RMS in mV",2000,-99.5,100.5);
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278 | hRmsBsl->GetXaxis()->SetTitle( "RMS (mV)" );
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279 | hRmsBsl->GetYaxis()->SetTitle( "Entries / 0.5 mV" );
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280 | hList.Add( hRmsBsl );
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281 |
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282 | hpltRmsBsl = new TH1F("hplt_rms","Value of maximal probability",1440,-0.5,1439.5);
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283 | hpltRmsBsl->GetXaxis()->SetTitle( "pixel" );
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284 | hpltRmsBsl->GetYaxis()->SetTitle( "RMS in mV" );
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285 | hList.Add( hpltRmsBsl );
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286 | }
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287 |
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288 |
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289 | void SaveHistograms( const char * loc_fname ){
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290 |
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291 | TString fName; // name of the histogram file
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292 |
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293 | /* create the filename for the histogram file */
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294 | fName = loc_fname; // use the name of the tree file
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295 | //fName.Remove(fName.Length() - 5); // remove the extension .root
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296 | //fName += "_histo.root"; // add the new extension
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297 | //fName += ".root";
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298 |
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299 | TFile tf( fName, "RECREATE"); // create the histogram file (replace if already existing)
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300 |
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301 | hList.Write(); // write the major histograms into the top level directory
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302 | tf.mkdir("BaselineHisto"); tf.cd("BaselineHisto"); // go to new subdirectory
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303 | hListBaseline.Write(); // write histos into subdirectory
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304 |
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305 | tf.Close(); // close the file
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306 |
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307 | } // end of function: void ana::SaveHistograms( void )
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308 |
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