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Rev | Author | Line No. | Line |
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35 | f9daq | 1 | #include "TROOT.h" |
2 | #include "TFile.h" |
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3 | #include "TBenchmark.h" |
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4 | #include "TH1F.h" |
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5 | #include "TH2F.h" |
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6 | #include "TH3F.h" |
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7 | #include "TCanvas.h" |
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8 | #include "TStyle.h" |
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9 | #include "TPad.h" |
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10 | #include "TF1.h" |
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11 | #include "TGraph.h" |
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12 | #include "TSpectrum.h" |
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13 | #include "stdio.h" |
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38 | f9daq | 14 | #include "THStack.h" |
40 | f9daq | 15 | #include "TPaveText.h" |
35 | f9daq | 16 | |
17 | #include "include/RTUtil.h" |
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18 | |||
19 | double getNoise(TH2F*, int, int); |
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20 | |||
40 | f9daq | 21 | int biasScan(char filename[256] = "test", char plopt[256]="th", int chXstart=0, int chXend=7, double par1=0.0, double par2=0.0, bool debug = false) |
35 | f9daq | 22 | { |
23 | const int c_nChannels = 64; |
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40 | f9daq | 24 | const double c_xOffset = 0; // mm |
25 | const double c_yOffset = 0; |
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35 | f9daq | 26 | |
27 | int map[8][8]={{32,34,53,55,40,42,61,63}, |
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28 | {48,50,37,39,56,58,45,47}, |
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29 | {33,35,52,54,41,43,60,62}, |
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30 | {49,51,36,38,57,59,44,46}, |
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31 | {17,19,4,6,25,27,12,14}, |
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32 | {1,3,20,22,9,11,28,30}, |
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33 | {16,18,5,7,24,26,13,15}, |
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34 | {0,2,21,23,8,10,29,31} |
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35 | }; |
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36 | |||
38 | f9daq | 37 | // Set draw style |
35 | f9daq | 38 | RTSetStyle(gStyle); |
39 | |||
40 | // open the file with histograms |
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41 | char fnameroot[256]; |
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42 | TFile* rootfile; |
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43 | sprintf(fnameroot, "root/%s.root", filename); |
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44 | rootfile = (TFile *) gROOT->FindObject(filename); |
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45 | if(rootfile==NULL) rootfile = new TFile(fnameroot); |
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46 | if(rootfile==NULL) { |
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47 | printf("Cannot open root file %s!!!\n",fnameroot); |
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48 | return(0); |
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49 | } |
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50 | |||
51 | if(strstr(plopt, "tdc") != NULL) { |
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52 | TCanvas *canvas21 = new TCanvas("canvas21","canvas21",1600,800); |
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53 | TH3F* h0 = (TH3F*) rootfile->Get("h_correctedTDC"); |
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54 | Int_t binsX = h0->GetXaxis()->GetNbins(); |
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55 | Int_t minX = h0->GetXaxis()->GetFirst(); |
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56 | Int_t maxX = h0->GetXaxis()->GetLast()+1; |
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57 | Int_t binsY = h0->GetYaxis()->GetNbins(); |
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58 | Int_t minY = h0->GetYaxis()->GetFirst(); |
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59 | Int_t maxY = h0->GetYaxis()->GetLast()+1; |
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60 | Int_t binsZ = h0->GetZaxis()->GetNbins(); |
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61 | Int_t minZ = h0->GetZaxis()->GetFirst(); |
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62 | Int_t maxZ = h0->GetZaxis()->GetLast()+1; |
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63 | Double_t xLowUser = h0->GetXaxis()->GetBinLowEdge(minX); |
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64 | Double_t xUpUser = h0->GetXaxis()->GetBinUpEdge(maxX); |
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65 | Double_t yLowUser = h0->GetYaxis()->GetBinLowEdge(minY); |
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66 | Double_t yUpUser = h0->GetYaxis()->GetBinUpEdge(maxY); |
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67 | |||
68 | canvas21->Divide(2); |
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69 | //h0->Draw(); |
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70 | canvas21->cd(1); |
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71 | //h0->Project3D("xy")->Draw("colz"); |
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72 | //canvas21->cd(2); |
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73 | //h0->Project3D("yz")->Draw("colz"); |
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74 | //canvas21->cd(3); |
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75 | TH2D* h_correctedTDC = (TH2D*) h0->Project3D("xz"); |
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76 | //h0->GetZaxis()->SetRangeUser(-5,5); |
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77 | //h0->Project3D("xzo")->Draw("colz"); |
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40 | f9daq | 78 | //h_correctedTDC->SetTitle("; t [ns]; Channel"); |
35 | f9daq | 79 | h_correctedTDC->Draw("colz"); |
80 | /* |
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81 | TH1F* tdc1 = new TH1F("tdc1",";TDC [ns];Events",binsZ, minZ, maxZ); |
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82 | //for(int j=minY; j<maxY; j++) { |
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83 | for(int k=minZ; k<maxZ; k++) { |
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84 | double signal = h0->GetBinContent(1,1,k); |
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85 | tdc1->Fill(k,signal); |
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86 | //} |
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87 | } |
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88 | tdc1->Draw(); |
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89 | */ |
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90 | |||
91 | TH2D* h_timeWalk = (TH2D*) h0->Project3D("zy"); |
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92 | canvas21->cd(2); |
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40 | f9daq | 93 | //h_timeWalk->SetTitle(";Threshold [V]; t [ns]"); |
35 | f9daq | 94 | h_timeWalk->Draw("colz"); |
95 | } |
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96 | |||
36 | f9daq | 97 | if (strstr(plopt, "bias") != NULL) { |
98 | TCanvas* canvas01 = new TCanvas("canvas01","",800, 800); |
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99 | canvas01->cd(); |
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100 | TH2F* h_bias = (TH2F*) rootfile->Get("h_bias"); |
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101 | h_bias->Draw("colz"); |
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50 | f9daq | 102 | |
103 | TCanvas* canvas02 = new TCanvas("canvas02","",800, 800); |
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104 | //canvas02->Divide(2,2); |
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105 | canvas02->cd(); |
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106 | TH3F* h_biasThreshold = (TH3F*) rootfile->Get("h_biasThreshold"); |
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107 | //h_biasThreshold->Draw(); |
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108 | //canvas02->cd(2); |
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109 | //h_biasThreshold->GetXaxis()->SetRange(1,5); |
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110 | h_biasThreshold->Project3D("zy"); |
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91 | f9daq | 111 | h_biasThreshold->SetTitle(""); |
50 | f9daq | 112 | h_biasThreshold_zy->DrawCopy("colz"); |
113 | |||
114 | TCanvas* canvas03 = new TCanvas("canvas03","",1200, 1200); |
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115 | canvas03->Divide(4,4); |
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116 | int x1=0; |
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117 | int x2=3; |
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118 | int y1=0; |
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119 | int y2=3; |
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120 | for(int j=x1; j<=x2; j++){ |
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121 | for(int k=y1; k<=y2; k++){ |
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122 | int channel = map[j][k]; |
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123 | int canvasPosition = 4*(4-k-1) + 4 - j; |
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124 | canvas03->cd(canvasPosition); |
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125 | h_biasThreshold->GetXaxis()->SetRange(channel+1,channel+1); |
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126 | char histoName[128]; |
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127 | sprintf(histoName, "Ch %d", channel); |
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128 | h_biasThreshold->Project3D("zy"); |
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129 | //sprintf(option, "h_biasThresholsd_zy%f", channel); |
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130 | h_biasThreshold_zy->SetTitle(histoName); |
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131 | h_biasThreshold_zy->DrawCopy("colz"); |
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132 | |||
133 | } |
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134 | } |
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135 | TCanvas* canvas04 = new TCanvas("canvas04","",1200, 1200); |
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136 | canvas04->Divide(4,4); |
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137 | int x1=0; |
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138 | int x2=3; |
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139 | int y1=4; |
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140 | int y2=7; |
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141 | for(int j=x1; j<=x2; j++){ |
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142 | for(int k=y1; k<=y2; k++){ |
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143 | int channel = map[j][k]; |
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144 | int canvasPosition = 4*(8-k-1) + 4 - j; |
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145 | canvas04->cd(canvasPosition); |
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146 | h_biasThreshold->GetXaxis()->SetRange(channel+1,channel+1); |
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147 | char histoName[128]; |
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148 | sprintf(histoName, "Ch %d", channel); |
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149 | h_biasThreshold->Project3D("zy"); |
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150 | //sprintf(option, "h_biasThresholsd_zy%f", channel); |
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151 | h_biasThreshold_zy->SetTitle(histoName); |
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152 | h_biasThreshold_zy->DrawCopy("colz"); |
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153 | |||
154 | } |
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155 | } |
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156 | TCanvas* canvas05 = new TCanvas("canvas05","",1200, 1200); |
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157 | canvas05->Divide(4,4); |
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158 | int x1=4; |
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159 | int x2=7; |
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160 | int y1=0; |
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161 | int y2=3; |
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162 | for(int j=x1; j<=x2; j++){ |
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163 | for(int k=y1; k<=y2; k++){ |
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164 | int channel = map[j][k]; |
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165 | int canvasPosition = 4*(4-k-1) + 8 - j; |
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166 | canvas05->cd(canvasPosition); |
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167 | h_biasThreshold->GetXaxis()->SetRange(channel+1,channel+1); |
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168 | char histoName[128]; |
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169 | sprintf(histoName, "Ch %d", channel); |
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170 | h_biasThreshold->Project3D("zy"); |
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171 | //sprintf(option, "h_biasThresholsd_zy%f", channel); |
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172 | h_biasThreshold_zy->SetTitle(histoName); |
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173 | h_biasThreshold_zy->DrawCopy("colz"); |
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174 | |||
175 | } |
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176 | } |
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177 | |||
178 | TCanvas* canvas06 = new TCanvas("canvas06","",1200, 1200); |
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179 | canvas06->Divide(4,4); |
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180 | int x1=4; |
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181 | int x2=7; |
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182 | int y1=4; |
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183 | int y2=7; |
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184 | for(int j=x1; j<=x2; j++){ |
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185 | for(int k=y1; k<=y2; k++){ |
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186 | int channel = map[j][k]; |
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187 | int canvasPosition = 4*(8-k-1) + 8 - j; |
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188 | canvas06->cd(canvasPosition); |
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189 | h_biasThreshold->GetXaxis()->SetRange(channel+1,channel+1); |
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190 | char histoName[128]; |
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191 | sprintf(histoName, "Ch %d", channel); |
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192 | h_biasThreshold->Project3D("zy"); |
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193 | //sprintf(option, "h_biasThresholsd_zy%f", channel); |
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194 | h_biasThreshold_zy->SetTitle(histoName); |
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195 | h_biasThreshold_zy->DrawCopy("colz"); |
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196 | |||
197 | } |
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198 | } |
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199 | |||
36 | f9daq | 200 | } |
201 | |||
202 | if (strstr(plopt, "th") != NULL) { |
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203 | TCanvas* canvas1 = new TCanvas("canvas1","",800,800); |
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204 | canvas1->cd(); |
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205 | //gPad->SetLogz(); |
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206 | //canvas1->SetLogz(); |
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207 | TH2F* h_threshold = (TH2F*) rootfile->Get("h_threshold"); |
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208 | h_threshold->SetTitleOffset(1.5,"y"); |
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209 | //h_threshold->GetZaxis()->SetRangeUser(0,1000); |
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210 | h_threshold->SetContour(20); |
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211 | |||
212 | h_threshold->Draw("colz"); |
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213 | |||
214 | TCanvas* canvas2 = new TCanvas("canvas2","",1600,800); |
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215 | canvas2->Divide(2); |
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216 | TH1D* h_projection1 = h_threshold->ProjectionY("Ch 37",38,38); |
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217 | canvas2->cd(1); |
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218 | //h_projection1->GetYaxis()->SetRangeUser(0,1000); |
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219 | //gPad->SetLogy(); |
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220 | h_projection1->Draw(); |
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221 | |||
222 | TH1D* h_projection2 = h_threshold->ProjectionY("Ch 38",39,39); |
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223 | canvas2->cd(2); |
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224 | //gPad->SetLogy(); |
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91 | f9daq | 225 | h_projection2->Draw(); |
226 | |||
227 | TCanvas* canvas21 = new TCanvas("canvas21","",1200,1200); |
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228 | canvas21->Divide(3,3); |
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229 | TH3F* h_biasThreshold = (TH3F*) rootfile->Get("h_biasThreshold"); |
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230 | //h_biasThreshold->Draw(); |
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231 | //canvas02->cd(2); |
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232 | //h_biasThreshold->GetXaxis()->SetRange(1,5); |
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233 | h_biasThreshold->Project3D("zy"); |
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234 | canvas21->cd(1); |
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235 | h_biasThreshold_zy->DrawCopy("colz"); |
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236 | canvas21->cd(2); |
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237 | for (int jk=0; jk<9; jk++){ |
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238 | h_biasThreshold_zy->ProjectionY("_py",jk*2+1,jk*2+1); |
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239 | canvas21->cd(jk+1); |
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240 | char histoName[128]; |
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241 | double bias = h_biasThreshold_zy->GetXaxis()->GetBinCenter(jk*2+1); |
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242 | sprintf(histoName, "Bias = %4.2f V", bias); |
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243 | h_biasThreshold_zy_py->SetTitle(histoName); |
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244 | h_biasThreshold_zy_py->DrawCopy(); |
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245 | } |
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246 | |||
36 | f9daq | 247 | } |
248 | |||
35 | f9daq | 249 | if(strstr(plopt,"16") != NULL) |
250 | { |
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36 | f9daq | 251 | TH2F* h_threshold = (TH2F*) rootfile->Get("h_bias"); |
35 | f9daq | 252 | TCanvas* canvas = new TCanvas("canvas","",1600,1600); |
38 | f9daq | 253 | TCanvas* canvas11 = new TCanvas("canvas11","",800,800); |
35 | f9daq | 254 | canvas->cd(); |
255 | TVirtualPad *main = new TPad("main","main",0,0,1,1,10,1); |
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256 | main->Draw(); |
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38 | f9daq | 257 | main->cd(); |
35 | f9daq | 258 | main->Divide(4,4); |
259 | for(int i=chXstart; i<chXend; i++) { |
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40 | f9daq | 260 | for(int j=(int)par1; j<(int)par2; j++) { |
35 | f9daq | 261 | int channel = map[i][j]; |
262 | TH1D* h_projection = h_threshold->ProjectionY("",channel+1,channel+1); |
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40 | f9daq | 263 | int canvasPosition = i-chXend+4*((int)par2-j)+1; |
35 | f9daq | 264 | printf(" %d ", canvasPosition); |
265 | main->cd(canvasPosition); |
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38 | f9daq | 266 | gPad->SetMargin(0.08, 0.08, 0.08, 0.08); |
35 | f9daq | 267 | char name[128]; |
268 | sprintf(name,"Channel %d",channel); |
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269 | h_projection->SetTitle(name); |
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38 | f9daq | 270 | h_projection->GetYaxis()->SetRangeUser(0,10000); |
271 | h_projection->DrawCopy("pe1x0"); |
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272 | canvas11->cd(); |
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273 | if (canvasPosition == 1) { |
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274 | h_projection->SetMarkerStyle(kFullDotMedium); |
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275 | h_projection->GetYaxis()->SetRangeUser(0,10000); |
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276 | h_projection->DrawCopy("Pl"); |
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277 | } |
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278 | else { |
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279 | h_projection->SetMarkerStyle(kFullDotMedium); |
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280 | h_projection->SetLineColor(canvasPosition); |
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281 | h_projection->SetMarkerColor(canvasPosition); |
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282 | h_projection->SetTitle(""); |
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283 | h_projection->DrawCopy("plsame"); |
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284 | } |
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35 | f9daq | 285 | } |
38 | f9daq | 286 | |
35 | f9daq | 287 | } |
288 | printf("\n"); |
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289 | } |
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290 | |||
36 | f9daq | 291 | if(strstr(plopt, "1ch") != NULL) |
292 | { |
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293 | TH2F* h_bias = (TH2F*) rootfile->Get("h_bias"); |
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38 | f9daq | 294 | TCanvas* canvas = new TCanvas("canvas","",800,800); |
36 | f9daq | 295 | canvas->cd(); |
296 | int channel = map[chXstart][chXend]; |
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297 | TH1D* h_projection = h_bias->ProjectionY("",channel+1,channel+1); |
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298 | char name[128]; |
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299 | sprintf(name,"Channel %d",channel); |
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300 | h_projection->SetTitle(name); |
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38 | f9daq | 301 | h_projection->SetMarkerStyle(kFullDotMedium); |
302 | //h_projection->SetMarkerSize(8); |
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303 | gPad->SetMargin(0.1,0.1,0.1,0.1); |
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40 | f9daq | 304 | |
305 | |||
306 | TF1* f_linear = new TF1("f_linear", "[0] + [1]*x", par1, par2); |
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307 | f_linear->SetParameter(0, -1); |
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308 | f_linear->SetParameter(1, 0.1); |
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309 | f_linear->SetParNames("p0", "p1"); |
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310 | h_projection->Fit(f_linear,"q"); |
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311 | h_projection->Fit(f_linear,"r"); |
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38 | f9daq | 312 | h_projection->Draw("pe1x0"); |
40 | f9daq | 313 | |
314 | double p0 = f_linear->GetParameter(0); |
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315 | double p1 = f_linear->GetParameter(1); |
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316 | printf("p0 %f p1 %f V_b = %f [V]\n", p0, p1, -p0/p1); |
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317 | TPaveText *text = new TPaveText(0.15,0.5,0.35,0.56); |
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318 | text->SetFillColor(0); |
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319 | text->SetBorderSize(0.1); |
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320 | text->SetTextSize(0.030); |
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321 | char string[128]; |
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322 | sprintf(string, "V_b = %2.2f", -p0/p1); |
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323 | text->AddText(string); |
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324 | text->Draw("same"); |
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325 | text->Paint(); |
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36 | f9daq | 326 | } |
327 | |||
35 | f9daq | 328 | if( strstr(plopt, "all") != NULL ) { |
329 | TCanvas *canvas2 = new TCanvas("canvas2","Hits x;;",2000,2000); |
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330 | TCanvas *canvas3 = new TCanvas("canvas3","Hits y;;",2000,2000); |
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331 | canvas2->Divide(8,8); |
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332 | canvas3->Divide(8,8); |
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333 | TH1F* h_hitsx; |
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334 | TH1F* h_hitsy; |
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335 | for(int i=0; i<c_nChannels; i++) { |
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336 | canvas2->cd(i+1); |
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337 | char hname[128]; |
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338 | sprintf(hname, "hnhitsx%d", i); |
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339 | h_hitsx = (TH1F*)rootfile->Get(hname); |
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340 | h_hitsx->Draw(); |
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341 | canvas3->cd(i+1); |
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342 | sprintf(hname, "hnhitsy%d", i); |
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343 | h_hitsy = (TH1F*)rootfile->Get(hname); |
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344 | h_hitsy->Draw(); |
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345 | } |
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346 | } |
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347 | |||
348 | if( strstr(plopt, "x") != NULL ) { |
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349 | TCanvas *canvas10 = new TCanvas("canvas10","Ch x;;",500,500); |
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350 | TH1F* h_hitsx; |
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351 | canvas10->cd(); |
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352 | char hname[128]; |
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353 | sprintf(hname, "hnhitsx%d", chXstart); |
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354 | h_hitsx = (TH1F*)rootfile->Get(hname); |
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355 | h_hitsx->Draw("colz"); |
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356 | } |
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357 | |||
358 | if( strstr(plopt, "y") != NULL ) { |
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359 | TCanvas *canvas11 = new TCanvas("canvas11","Ch x;;",500,500); |
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360 | TH1F* h_hitsy; |
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361 | canvas11->cd(); |
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362 | char hname[128]; |
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363 | sprintf(hname, "hnhitsy%d", chXstart); |
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364 | h_hitsy = (TH1F*)rootfile->Get(hname); |
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365 | h_hitsy->Draw(); |
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366 | } |
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40 | f9daq | 367 | |
35 | f9daq | 368 | |
369 | /** Draws the sum of the channels |
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370 | * Each channel is a 2d plot |
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371 | * Intended for the study of 1 channel |
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372 | */ |
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373 | if (strstr(plopt, "2d") != NULL) { |
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374 | |||
375 | int nX = chXend - chXstart + 1; |
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40 | f9daq | 376 | int nY = (int)par2 - (int)par1 + 1; |
35 | f9daq | 377 | TCanvas* canvas7 = new TCanvas("canvas7","canvas7", nX*400,nY*400); |
378 | printf("nx %d ny %d\n",nX,nY); |
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379 | canvas7->Divide(nX,nY); |
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40 | f9daq | 380 | for(int i=(int)par1; i<=(int)par2; i++) { |
35 | f9daq | 381 | for(int j=chXstart; j<=chXend; j++) { |
382 | //int canvasPosition = nX*(i-chYstart)+(j-chXstart)+1; |
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40 | f9daq | 383 | int canvasPosition = nX*((int)par2-i)+(j-chXstart)+1; |
35 | f9daq | 384 | if (debug) printf("canvas %d\n",canvasPosition); |
385 | canvas7->cd(canvasPosition); |
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386 | char hname[128]; |
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387 | int chPosition = map[j][i]; |
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388 | sprintf(hname, "h2d%d", chPosition); |
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389 | TH2F* h_2d = (TH2F*)rootfile->Get(hname); |
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390 | h_2d->Draw("colz"); |
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391 | } //x |
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392 | } |
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393 | |||
394 | // Number of photoelectrons - Poissonian correction |
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395 | TCanvas* canvas8 = new TCanvas("canvas8","canvas8", 1000,1000); |
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396 | canvas8->cd(); |
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397 | gStyle->SetOptStat(0); |
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398 | char hname[128]; |
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399 | int chPosition = map[1][2]; |
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400 | sprintf(hname, "h2d%d", chPosition); |
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401 | TH2F* h_2d = (TH2F*)rootfile->Get(hname); |
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402 | |||
403 | Int_t binsX = h_2d->GetXaxis()->GetNbins(); |
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404 | Int_t minX = h_2d->GetXaxis()->GetFirst(); |
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405 | Int_t maxX = h_2d->GetXaxis()->GetLast()+1; |
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406 | Int_t binsY = h_2d->GetYaxis()->GetNbins(); |
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407 | Int_t minY = h_2d->GetYaxis()->GetFirst(); |
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408 | Int_t maxY = h_2d->GetYaxis()->GetLast()+1; |
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409 | Double_t xLowUser = h_2d->GetXaxis()->GetBinLowEdge(minX); |
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410 | Double_t xUpUser = h_2d->GetXaxis()->GetBinUpEdge(maxX); |
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411 | Double_t yLowUser = h_2d->GetYaxis()->GetBinLowEdge(minY); |
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412 | Double_t yUpUser = h_2d->GetYaxis()->GetBinUpEdge(maxY); |
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413 | if (debug) printf("xLow %f xUp %f\n",xLowUser,xUpUser); |
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414 | TH2F* h_corrected = new TH2F("h_corrected","h_corrected",binsX, xLowUser, xUpUser, binsY, yLowUser, yUpUser); |
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415 | |||
416 | double noise = getNoise(h_2d, 1, 89); |
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417 | if(debug) printf("Noise = %f\n", noise); |
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418 | for(int k=minX; k<=maxX; k++) { |
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419 | for(int j=minY; j<=maxY; j++) { |
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420 | double signal = h_2d->GetBinContent(k,j); // detected |
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421 | //double p = ((signal - noise) > 1) ? (signal-noise) : 1; |
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422 | double p = signal - noise; |
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423 | p /= 10000.; |
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424 | double p0 = 1.0 - p; // events with zero photons |
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425 | //double eta = (-log(p0) * p0 ) / (1-p0-0.00001); |
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426 | double eta = -log(p0); // constant of the poissonian statistics |
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427 | if (debug) printf("p=%f p0=%f log(p0)=%f eta=%f\n",p,p0,log(p0),eta); |
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428 | double x = k*(xUpUser-xLowUser)/double(binsX); |
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429 | double y = j*(yUpUser-yLowUser)/double(binsY); |
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430 | h_corrected->Fill(x+3,y+8, eta); |
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431 | } |
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432 | } |
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433 | h_corrected->SetTitle("n_pe = - ln P(0);x[mm];y[mm]"); |
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434 | h_corrected->GetZaxis()->SetRangeUser(-0.05,0.3); |
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435 | h_corrected->Draw("colz"); |
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436 | |||
437 | // collection efficiency |
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438 | int nPoints =0; |
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439 | double efficiency=0; |
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440 | for (int i=18; i<=58; i++) { |
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441 | for (int j=19; j<=59; j++) { |
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442 | double signal = h_corrected->GetBinContent(i,j); |
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443 | if(debug) printf("signal %f\n",signal); |
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444 | efficiency += signal; |
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445 | nPoints++; |
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446 | } |
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447 | } |
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448 | printf("Signal sum = %f\n # of points = %d\n",efficiency,nPoints); |
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449 | } |
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450 | |||
451 | /** Draws the sum of channel signals |
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452 | * Each channel is a 2d ('h2d') histogram |
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453 | * Suitable for 8x8 chs scan |
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454 | */ |
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455 | if( strstr(plopt, "sum") != NULL ) { |
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40 | f9daq | 456 | int nX = 7 - 0 + 1; |
457 | int nY = 7 - 0 + 1; |
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35 | f9daq | 458 | TCanvas* canvas12 = new TCanvas("canvas12","c2",8*200, 8*200); |
459 | canvas12->cd(); |
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460 | gStyle->SetOptStat(0); |
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461 | |||
462 | // final histogram parameters |
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463 | TH2F* h0 = (TH2F*) rootfile->Get("h2d0"); |
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464 | Int_t binsX = h0->GetXaxis()->GetNbins(); |
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465 | Int_t minX = h0->GetXaxis()->GetFirst(); |
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466 | Int_t maxX = h0->GetXaxis()->GetLast()+1; |
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467 | Int_t binsY = h0->GetYaxis()->GetNbins(); |
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468 | Int_t minY = h0->GetYaxis()->GetFirst(); |
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469 | Int_t maxY = h0->GetYaxis()->GetLast()+1; |
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470 | Double_t xLowUser = h0->GetXaxis()->GetBinLowEdge(minX); |
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471 | Double_t xUpUser = h0->GetXaxis()->GetBinUpEdge(maxX); |
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472 | Double_t yLowUser = h0->GetYaxis()->GetBinLowEdge(minY); |
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473 | Double_t yUpUser = h0->GetYaxis()->GetBinUpEdge(maxY); |
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474 | if (debug) printf("xLow %f xUp %f\n",xLowUser,xUpUser); |
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475 | TH2F* h_corrected = new TH2F("h_corrected","h_corrected",binsX,xLowUser,xUpUser, binsY,yLowUser,yUpUser); |
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476 | TH2F* h[9]; |
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477 | |||
478 | // 2d histogram noise subtraction and poisson scaling |
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40 | f9daq | 479 | for(int i=0; i<=7; i++) { |
35 | f9daq | 480 | for(int j=chXstart; j<=chXend; j++) { |
481 | int chPosition = map[j][i]; |
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482 | char hname[128]; |
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483 | sprintf(hname, "h2d%d", chPosition); |
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40 | f9daq | 484 | int histogram = nX*(i-0)+(j-chXstart); |
35 | f9daq | 485 | h[histogram] = (TH2F *) rootfile->Get(hname); |
486 | int noise = getNoise(h[histogram], 1, 170); |
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487 | if (debug) printf("noise: %d\n",noise); |
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488 | for(int k=minX; k<=maxX; k++) { |
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489 | for(int l=minY; l<=maxY; l++) { |
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490 | int signal = h[histogram]->GetBinContent(k,l); // detected |
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491 | //double p = ((signal - noise) > 0.1) ? (signal-noise) : 0.1; |
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492 | double p = signal - noise; |
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493 | p /= 10000.; |
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494 | double p0 = 1.0 - p; // events with zero photons |
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495 | //double eta = (-log(p0) * p0 ) / (1-p0-0.00001); |
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496 | double eta = -log(p0); |
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497 | //printf("p=%f p0=%f log(p0)=%f eta=%f\n",p,p0,log(p0),eta); |
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498 | double x = k*(xUpUser-xLowUser)/double(binsX); |
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499 | double y = l*(yUpUser-yLowUser)/double(binsY); |
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500 | h_corrected->Fill(x-c_xOffset, y-c_yOffset, signal); |
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501 | } |
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502 | } |
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503 | |||
504 | } |
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505 | } |
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506 | |||
507 | h_corrected->SetTitle("SiPM#2 n_p.e.;x[mm];y[mm]"); |
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508 | //h_corrected->GetZaxis()->SetRangeUser(-0.05,.30); |
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509 | h_corrected->Draw("colz"); |
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510 | |||
511 | TCanvas* canvas13 = new TCanvas("canvas13","canvas13",600,300); |
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512 | canvas13->Divide(2); |
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513 | canvas13->cd(1); |
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514 | //h[16]->Draw("colz"); |
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515 | canvas13->cd(2); |
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516 | //h[8]->Draw("colz"); |
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517 | } |
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518 | |||
519 | return(0); |
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520 | } |
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521 | |||
522 | /** Function calculates the noise from one channel |
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523 | * it runs through the bins along x and returns the average value |
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524 | */ |
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525 | double getNoise(TH2F* histogram, int yStart, int yEnd) |
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526 | { |
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527 | double noise=0; |
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528 | int count=0; |
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529 | for(int j=yStart; j<yEnd; j++) { |
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530 | double value = histogram->GetBinContent(j,2); |
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531 | //if (noise < value) noise = value; |
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532 | noise += value; |
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533 | count++; |
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534 | } |
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535 | return (noise/double(count)); |
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536 | } |
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537 |