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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 "TCanvas.h" |
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7 | #include "TStyle.h" |
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8 | #include "TPad.h" |
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47 | f9daq | 9 | #include "TPaveText.h" |
10 | //#include "TLabel.h" |
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35 | f9daq | 11 | #include "TF1.h" |
12 | #include "TGraph.h" |
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13 | #include "TSpectrum.h" |
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14 | #include "stdio.h" |
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15 | |||
16 | #include "include/RTUtil.h" |
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17 | |||
18 | double getNoise(TH2F*, int, int); |
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19 | |||
47 | f9daq | 20 | int sipm(char filename[256] = "test", char plopt[256]="all", int parameter1=0, int parameter2=7, int chYstart=0, int chYend=7, bool debug = false) |
35 | f9daq | 21 | { |
22 | const int c_nChannels = 64; |
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23 | |||
24 | int map[8][8]={{32,34,53,55,40,42,61,63}, |
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25 | {48,50,37,39,56,58,45,47}, |
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26 | {33,35,52,54,41,43,60,62}, |
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27 | {49,51,36,38,57,59,44,46}, |
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28 | {17,19,4,6,25,27,12,14}, |
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29 | {1,3,20,22,9,11,28,30}, |
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30 | {16,18,5,7,24,26,13,15}, |
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31 | {0,2,21,23,8,10,29,31} |
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32 | }; |
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33 | |||
34 | char fnameroot[256]; |
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35 | TFile* rootfile; |
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36 | sprintf(fnameroot, "root/%s.root", filename); |
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37 | rootfile = (TFile *) gROOT->FindObject(filename); |
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38 | if(rootfile==NULL) rootfile = new TFile(fnameroot); |
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39 | if(rootfile==NULL) { |
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40 | printf("Cannot open root file %s!!!\n",fnameroot); |
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41 | return(0); |
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42 | } |
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43 | |||
44 | // set draw style |
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38 | f9daq | 45 | RTSetStyle(gStyle); |
47 | f9daq | 46 | |
47 | // Print results to .pdf (option "p") |
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48 | if(strstr(plopt, "p") != NULL) { |
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49 | TCanvas* canvasFirst = new TCanvas("canvasFirst","",500,500); |
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50 | TPaveText* text = new TPaveText(.05,.1,.95,.8); |
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51 | text->AddText("SiPM Scan results"); |
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52 | canvasFirst->cd(); |
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53 | text->Draw(); |
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54 | canvasFirst->Print("result.pdf("); |
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55 | } |
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35 | f9daq | 56 | |
57 | if( strstr(plopt, "all") != NULL ) { |
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58 | TCanvas *canvas2 = new TCanvas("canvas2","Hits x;;",2000,2000); |
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59 | TCanvas *canvas3 = new TCanvas("canvas3","Hits y;;",2000,2000); |
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60 | canvas2->Divide(8,8); |
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61 | canvas3->Divide(8,8); |
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62 | TH1F* h_hitsx; |
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63 | TH1F* h_hitsy; |
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64 | for(int i=0; i<c_nChannels; i++) { |
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65 | canvas2->cd(i+1); |
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66 | char hname[128]; |
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67 | sprintf(hname, "hnhitsx%d", i); |
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68 | h_hitsx = (TH1F*)rootfile->Get(hname); |
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69 | h_hitsx->Draw(); |
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70 | canvas3->cd(i+1); |
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71 | sprintf(hname, "hnhitsy%d", i); |
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72 | h_hitsy = (TH1F*)rootfile->Get(hname); |
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73 | h_hitsy->Draw(); |
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74 | } |
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75 | } |
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76 | |||
77 | if( strstr(plopt, "x") != NULL ) { |
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78 | TCanvas *canvas10 = new TCanvas("canvas10","Ch x;;",500,500); |
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79 | TH1F* h_hitsx; |
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80 | canvas10->cd(); |
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47 | f9daq | 81 | int chPosition = map[parameter1][parameter2]; |
35 | f9daq | 82 | char hname[128]; |
47 | f9daq | 83 | sprintf(hname, "hnhitsx%d", chPosition); |
35 | f9daq | 84 | h_hitsx = (TH1F*)rootfile->Get(hname); |
47 | f9daq | 85 | h_hitsx->Draw(); |
86 | |||
87 | if(strstr(plopt, "p") != NULL) { |
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88 | canvas10->Print("result.pdf"); |
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89 | } |
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90 | |||
35 | f9daq | 91 | } |
92 | |||
93 | if( strstr(plopt, "y") != NULL ) { |
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94 | TCanvas *canvas11 = new TCanvas("canvas11","Ch x;;",500,500); |
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95 | TH1F* h_hitsy; |
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96 | canvas11->cd(); |
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47 | f9daq | 97 | int chPosition = map[parameter1][parameter2]; |
35 | f9daq | 98 | char hname[128]; |
47 | f9daq | 99 | sprintf(hname, "hnhitsy%d", chPosition); |
35 | f9daq | 100 | h_hitsy = (TH1F*)rootfile->Get(hname); |
101 | h_hitsy->Draw(); |
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47 | f9daq | 102 | |
103 | if(strstr(plopt, "p") != NULL) { |
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104 | canvas11->Print("result.pdf"); |
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105 | } |
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35 | f9daq | 106 | } |
107 | |||
108 | if( strstr(plopt, "share") != NULL ) { |
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109 | /*TCanvas *canvas4 = new TCanvas("canvas1","canvas1",1000,1000); |
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110 | int nChannels = chYend-chYstart+1; |
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111 | int ncols = nChannels/2; |
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112 | printf("nch %d nch\\2 %d\n", nChannels, ncols); |
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113 | canvas4->Divide(2,ncols); |
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114 | TH1F* h_hitsy; |
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115 | for(int i=chYstart; i<=chYend; i++){ |
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116 | canvas4->cd(i-chYstart+1); |
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117 | char hname[128]; |
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118 | int chPosition = map[0][i]; |
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119 | sprintf(hname, "hnhitsy%d", chPosition); |
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120 | h_hitsy = (TH1F*)rootfile->Get(hname); |
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121 | h_hitsy->Draw(); |
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122 | }*/ |
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123 | |||
124 | TCanvas *canvas4 = new TCanvas("canvas4","canvas4",500,500); |
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125 | canvas4->cd(); |
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47 | f9daq | 126 | for(int i=parameter1; i<=parameter2; i++) { |
35 | f9daq | 127 | TH1F* h_hitsx; |
128 | char hname[128]; |
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129 | int chPosition = map[i][chYstart]; |
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130 | sprintf(hname, "hnhitsx%d", chPosition); |
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131 | h_hitsx = (TH1F*)rootfile->Get(hname); |
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132 | h_hitsx->SetTitle("Scan X;x [mm]; Entries"); |
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133 | h_hitsx->GetYaxis()->SetTitleOffset(1.3); |
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134 | h_hitsx->SetStats(0); |
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47 | f9daq | 135 | if (i == parameter1) |
35 | f9daq | 136 | h_hitsx->Draw(); |
137 | else { |
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138 | h_hitsx->SetLineColor(i+1); |
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139 | h_hitsx->Draw("same"); |
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140 | } |
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141 | } |
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142 | //sprintf(fullname, "ps/%s_Yshare.eps", filename); |
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143 | //canvas4->SaveAs(fullname); |
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144 | |||
145 | TCanvas *canvas5 = new TCanvas("canvas5","canvas5",500,500); |
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146 | canvas5->cd(); |
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147 | for(int i=chYstart; i<=chYend; i++) { |
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148 | TH1F* h_hitsy; |
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149 | char hname[128]; |
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47 | f9daq | 150 | int chPosition = map[parameter1][i]; |
35 | f9daq | 151 | sprintf(hname, "hnhitsy%d", chPosition); |
152 | h_hitsy = (TH1F*)rootfile->Get(hname); |
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153 | h_hitsy->SetTitle("Scan Y;y [mm]; Entries"); |
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154 | h_hitsy->GetYaxis()->SetTitleOffset(1.3); |
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155 | h_hitsy->SetStats(0); |
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156 | if (i == chYstart) |
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157 | h_hitsy->Draw(); |
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158 | else { |
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159 | h_hitsy->SetLineColor(i+1); |
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160 | h_hitsy->Draw("same"); |
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161 | } |
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162 | } |
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163 | //sprintf(fullname, "ps/%s_Yshare.eps", filename); |
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164 | //canvas5->SaveAs(fullname); |
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165 | } |
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166 | |||
167 | /** Draw one channel in x and y |
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168 | * Without and with the noise subtraction |
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169 | */ |
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170 | if (strstr(plopt, "noise") != NULL) { |
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171 | TCanvas *canvas51 = new TCanvas("canvas51","canvas51",500,500); |
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172 | canvas51->cd(); |
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173 | |||
174 | // Get the filled histogram from scan |
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175 | TH1F* h_x; |
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176 | char name[32]; |
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47 | f9daq | 177 | sprintf(name, "hnhitsx%d", parameter1); |
35 | f9daq | 178 | h_x = (TH1F*)rootfile->Get(name); |
179 | h_x->DrawCopy(); |
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180 | |||
181 | TH1F* h_y; |
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47 | f9daq | 182 | sprintf(name, "hnhitsy%d", parameter1); |
35 | f9daq | 183 | h_y = (TH1F*)rootfile->Get(name); |
184 | |||
185 | // Create and fill corrected histogram |
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186 | Int_t binsX = h_x->GetXaxis()->GetNbins(); |
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187 | if(debug) printf("nBins: %d\n", binsX); |
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188 | //Double_t xLowUser = h_x->GetXaxis()->GetBinLowEdge(1); |
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189 | //Double_t xUpUser = h_x->GetXaxis()->GetBinUpEdge(binsX); |
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190 | Double_t xLowUser = h_x->GetXaxis()->GetXmin(); |
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191 | Double_t xUpUser = h_x->GetXaxis()->GetXmax(); |
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192 | TH1F* h_xCorrected = new TH1F("h_xCorrected",";;",binsX, xLowUser, xUpUser); |
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193 | if (debug) printf("xLow %f xUp %f\n",xLowUser,xUpUser); |
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194 | double noise = h_x->GetBinContent(2); |
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195 | for (int jk = 0; jk < binsX; jk++) { |
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196 | double signal = h_x->GetBinContent(jk+1); |
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197 | signal -= noise; |
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198 | double x = h_x->GetXaxis()->GetBinCenter(jk+1); |
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199 | h_xCorrected->Fill(x, signal); |
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200 | } |
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201 | h_xCorrected->SetLineColor(2); |
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202 | h_xCorrected->DrawCopy("same"); |
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203 | |||
204 | //Create and fill corrected histogram |
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205 | Int_t binsY = h_y->GetXaxis()->GetNbins(); |
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206 | Double_t yLowUser = h_y->GetXaxis()->GetXmin(); |
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207 | Double_t yUpUser = h_y->GetXaxis()->GetXmax(); |
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208 | TH1F* h_yCorrected = new TH1F("h_yCorrected",";;",binsY, yLowUser, yUpUser); |
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209 | noise = h_y->GetBinContent(2); |
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210 | for (int jk = 0; jk < binsY; jk++) { |
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211 | double signal = h_y->GetBinContent(jk+1); |
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212 | signal -= noise; |
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213 | double x = h_y->GetXaxis()->GetBinCenter(jk+1); |
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214 | h_yCorrected->Fill(x, signal); |
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215 | } |
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216 | TCanvas *canvas52 = new TCanvas("canvas52","canvas52",500,500); |
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217 | canvas52->cd(); |
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218 | h_y->DrawCopy(); |
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219 | h_yCorrected->SetLineColor(2); |
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220 | h_yCorrected->DrawCopy("same"); |
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221 | } |
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222 | |||
223 | /** Draws the signal from 8 channels in x-row |
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224 | * for one specific y bin, so the background and cross-talk |
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225 | * can be estimated. |
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226 | * Draws also a 2d scan of these channels. |
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227 | */ |
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228 | if (strstr(plopt, "line") != NULL) { |
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229 | TCanvas* canvas6 = new TCanvas("canvas6","canvas6",500,500); |
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230 | canvas6->cd(0); |
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231 | gStyle->SetOptStat(0); |
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232 | |||
233 | TH2F* h0 = (TH2F*) rootfile->Get("h2d0"); |
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234 | Int_t binsX = h0->GetXaxis()->GetNbins(); |
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235 | Int_t minX = h0->GetXaxis()->GetFirst(); |
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236 | Int_t maxX = h0->GetXaxis()->GetLast()+1; |
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237 | Int_t binsY = h0->GetYaxis()->GetNbins(); |
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238 | Int_t minY = h0->GetYaxis()->GetFirst(); |
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239 | Int_t maxY = h0->GetYaxis()->GetLast()+1; |
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240 | Double_t xLowUser = h0->GetXaxis()->GetBinLowEdge(minX); |
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241 | Double_t xUpUser = h0->GetXaxis()->GetBinUpEdge(maxX); |
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242 | Double_t yLowUser = h0->GetYaxis()->GetBinLowEdge(minY); |
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243 | Double_t yUpUser = h0->GetYaxis()->GetBinUpEdge(maxY); |
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244 | if (debug) printf("xLow %f xUp %f\n",xLowUser,xUpUser); |
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245 | |||
246 | //! 1-dimension position in x vs. hits |
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247 | TH2F* h[8]; |
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248 | TH1F* h_line[8]; |
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249 | for(int j=0; j<8; j++) { |
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250 | h_line[j] = new TH1F("h_line", "h_line", binsX, xLowUser, xUpUser); |
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251 | } |
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252 | |||
47 | f9daq | 253 | for(int j=parameter1; j<=parameter2; j++) { |
35 | f9daq | 254 | int chPosition = map[j][chYstart]; |
255 | char hname[128]; |
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256 | sprintf(hname, "h2d%d", chPosition); |
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257 | int histogram = j; |
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258 | h[histogram] = (TH2F *) rootfile->Get(hname); |
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259 | int noise = getNoise(h[histogram], 1, 160); |
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260 | for(int k=minX; k<=maxX; k++) { |
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261 | int l=chYstart*20+12; |
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262 | //for(int l=12; l<=16; l++) { |
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263 | double signal = h[histogram]->GetBinContent(k,l); |
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264 | //signal -= noise; |
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265 | //signal /= 5*10000.0; |
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266 | double eta = -log(1 - signal); |
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267 | double x = xLowUser + k*(xUpUser-xLowUser)/double(binsX); |
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268 | //double y = l*(yUpUser-yLowUser)/double(binsY); |
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47 | f9daq | 269 | h_line[j]->Fill(x, signal); |
35 | f9daq | 270 | //} |
271 | } |
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47 | f9daq | 272 | if (j == parameter1) { |
35 | f9daq | 273 | h_line[j]->SetTitle("SiPM#2 w/o noise subtraction;x[mm];Hits"); |
274 | //h_line[j]->GetYaxis()->SetRangeUser(-0.05, 0.3); |
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275 | //h_line[j]->GetYaxis()->SetRangeUser(-50, 2500); |
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276 | h_line[j]->Draw(""); |
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277 | } |
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278 | else { |
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279 | h_line[j]->SetLineColor(j+1); |
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280 | h_line[j]->Draw("same"); |
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281 | } |
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282 | } |
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283 | |||
284 | |||
285 | //! 2d scan |
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286 | TCanvas* canvas61 = new TCanvas("canvas61","canvas61",8*200,300); |
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287 | canvas61->cd(); |
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288 | TH2F* h_corrected = new TH2F("h_corrected","h_corrected",binsX,xLowUser,xUpUser, binsY,yLowUser,yUpUser); |
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47 | f9daq | 289 | for(int i=parameter1; i<=parameter2; i++) { |
290 | //int canvasPosition = nX*(i-chYstart)+(j-parameter1)+1; |
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291 | //int canvasPosition = nX*(chYend-i)+parameter1+1; |
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35 | f9daq | 292 | //if (debug) printf("canvas %d\n",canvasPosition); |
293 | int chPosition = map[i][chYstart]; |
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294 | char hname[128]; |
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295 | sprintf(hname, "h2d%d", chPosition); |
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296 | int histogram = i; |
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297 | h[histogram] = (TH2F *) rootfile->Get(hname); |
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298 | int noise = getNoise(h[histogram], 1, 100); |
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299 | |||
300 | for(int k=minX; k<=maxX; k++) { |
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301 | for(int l=minY; l<=maxY; l++) { |
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302 | int signal = h[histogram]->GetBinContent(k,l); // detected |
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303 | //p /= 10000.; |
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304 | //double p0 = 1.0 - p; // events with zero photons |
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305 | //double eta = (-log(p0) * p0 ) / (1-p0-0.00001); |
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306 | //double eta = -log(p0); |
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307 | //printf("p=%f p0=%f log(p0)=%f eta=%f\n",p,p0,log(p0),eta); |
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308 | //double signal = ((p - noise) > 0.1) ? (p-noise) : 0.1; |
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309 | double p = signal - noise; |
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310 | p /= 10000.0; |
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311 | double eta = -log(1 - p); |
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312 | //double x = k*(xUpUser-xLowUser)/double(binsX); |
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313 | //double y = l*(yUpUser-yLowUser)/double(binsY); |
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314 | double x = h[histogram]->GetXaxis()->GetBinCenter(k); |
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315 | double y = h[histogram]->GetYaxis()->GetBinCenter(l); |
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47 | f9daq | 316 | h_corrected->Fill(x, y, eta); |
35 | f9daq | 317 | } |
318 | } |
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319 | } |
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320 | h_corrected->SetTitle("SiPM#2 n_pe = - ln(P0);x[mm];y[mm]"); |
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321 | h_corrected->GetZaxis()->SetRangeUser(-0.05,0.30); |
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322 | h_corrected->Draw("colz"); |
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323 | |||
324 | } |
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325 | |||
326 | /** Draws the sum of the channels |
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327 | * Each channel is a 2d plot |
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328 | * Intended for the study of 1 channel |
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329 | * |
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330 | * Input: scanned channel coordinates (x,y) |
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331 | */ |
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332 | if (strstr(plopt, "2d") != NULL) { |
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333 | |||
334 | int nX = 3; |
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335 | int nY = 3; |
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336 | TCanvas* canvas7 = new TCanvas("canvas7","canvas7", nX*400,nY*400); |
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337 | printf("nx %d ny %d\n",nX,nY); |
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338 | canvas7->Divide(nX,nY); |
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47 | f9daq | 339 | for(int i=parameter2-1; i<=parameter2+1; i++) { |
340 | for(int j=parameter1-1; j<=parameter1+1; j++) { |
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341 | //int canvasPosition = nX*(i-chYstart)+(j-parameter1)+1; |
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342 | int canvasPosition = nX*(parameter2+1-i) + (j-parameter1+1) +1; |
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35 | f9daq | 343 | if (debug) printf("canvas %d\n",canvasPosition); |
344 | canvas7->cd(canvasPosition); |
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345 | char hname[128]; |
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346 | int chPosition = map[j][i]; |
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347 | sprintf(hname, "h2d%d", chPosition); |
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348 | TH2F* h_2d = (TH2F*)rootfile->Get(hname); |
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349 | h_2d->Draw("colz"); |
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50 | f9daq | 350 | if ( !((i == parameter2) and (j == parameter1)) ) h_2d->GetZaxis()->SetRangeUser(0,200); |
35 | f9daq | 351 | } //x |
352 | } |
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353 | |||
354 | // Number of photoelectrons - Poissonian correction |
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355 | TCanvas* canvas8 = new TCanvas("canvas8","canvas8", 1000,1000); |
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356 | canvas8->cd(); |
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357 | gStyle->SetOptStat(0); |
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358 | char hname[128]; |
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47 | f9daq | 359 | int chPosition = map[parameter1][parameter2]; |
35 | f9daq | 360 | sprintf(hname, "h2d%d", chPosition); |
361 | TH2F* h_2d = (TH2F*)rootfile->Get(hname); |
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362 | |||
363 | Int_t binsX = h_2d->GetXaxis()->GetNbins(); |
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364 | Int_t minX = h_2d->GetXaxis()->GetFirst(); |
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365 | Int_t maxX = h_2d->GetXaxis()->GetLast()+1; |
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366 | Int_t binsY = h_2d->GetYaxis()->GetNbins(); |
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367 | Int_t minY = h_2d->GetYaxis()->GetFirst(); |
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368 | Int_t maxY = h_2d->GetYaxis()->GetLast()+1; |
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369 | Double_t xLowUser = h_2d->GetXaxis()->GetXmin(); |
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370 | Double_t xUpUser = h_2d->GetXaxis()->GetXmax(); |
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371 | Double_t yLowUser = h_2d->GetYaxis()->GetXmin(); |
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372 | Double_t yUpUser = h_2d->GetYaxis()->GetXmax(); |
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373 | if (debug) printf("xLow %f xUp %f\n",xLowUser,xUpUser); |
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374 | TH2F* h_corrected = new TH2F("h_corrected","h_corrected",binsX, xLowUser, xUpUser, binsY, yLowUser, yUpUser); |
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47 | f9daq | 375 | double diffX = xUpUser - xLowUser; |
376 | double diffY = yUpUser - yLowUser; |
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377 | //TH2F* h_corrected = new TH2F("h_corrected","h_corrected",binsX, 3.00, 3.00+diffX, binsY, 8.00, 8.00+diffY); |
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35 | f9daq | 378 | //TH2F* h_corrected = new TH2F("h_corrected","h_corrected",binsX, minX, maxX, binsY, minY, maxY); |
379 | |||
380 | double noise = getNoise(h_2d, 1, 70); |
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50 | f9daq | 381 | noise = 50; |
35 | f9daq | 382 | if(debug) printf("Noise = %f\n", noise); |
383 | for(int k=minX; k<=maxX; k++) { |
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384 | for(int j=minY; j<=maxY; j++) { |
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385 | double signal = h_2d->GetBinContent(k,j); // detected |
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386 | //double p = ((signal - noise) > 1) ? (signal-noise) : 1; |
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387 | double p = signal - noise; |
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50 | f9daq | 388 | p /= 10000.; |
35 | f9daq | 389 | double p0 = 1.0 - p; // events with zero photons |
390 | //double eta = (-log(p0) * p0 ) / (1-p0-0.00001); |
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391 | double eta = -log(p0); // constant of the poissonian statistics |
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392 | if (debug) printf("p=%f p0=%f log(p0)=%f eta=%f\n",p,p0,log(p0),eta); |
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393 | //double x = xLowUser + k*(xUpUser - xLowUser) / double(binsX); |
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394 | double x = h_2d->GetXaxis()->GetBinCenter(k); |
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395 | //double y = yLowUser + j*(yUpUser-yLowUser)/double(binsY); |
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396 | double y = h_2d->GetYaxis()->GetBinCenter(j); |
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397 | if (debug) printf("x=%f y=%f\n", x, y); |
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47 | f9daq | 398 | h_corrected->Fill(x, y, p); |
35 | f9daq | 399 | } |
400 | } |
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47 | f9daq | 401 | //h_corrected->SetTitle("n_pe = - ln P(0);x[mm];y[mm]"); |
402 | h_corrected->SetTitle(";x[mm];y[mm]"); |
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403 | //gStyle->SetPalette(52,0); // black and white for print |
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50 | f9daq | 404 | //gStyle->SetPalette(1); //black and white 2nd option |
405 | //SetGS(); // inverse |
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406 | h_corrected->GetZaxis()->SetRangeUser(-0.05,0.30); |
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407 | h_corrected->SetContour(30); |
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35 | f9daq | 408 | h_corrected->Draw("colz"); |
409 | |||
410 | // collection efficiency |
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411 | int nPoints =0; |
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412 | double efficiency=0; |
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413 | for (int i=18; i<=58; i++) { |
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414 | for (int j=19; j<=59; j++) { |
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415 | double signal = h_corrected->GetBinContent(i,j); |
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416 | if(debug) printf("signal %f\n",signal); |
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417 | efficiency += signal; |
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418 | nPoints++; |
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419 | } |
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420 | } |
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421 | printf("Signal sum = %f\n # of points = %d\n",efficiency,nPoints); |
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47 | f9daq | 422 | |
423 | if(strstr(plopt, "p") != NULL) { |
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424 | canvas8->Print("result.pdf"); |
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425 | } |
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426 | |||
35 | f9daq | 427 | } |
428 | |||
429 | /** Draws the sum of channel signals |
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430 | * Each channel is a 2d ('h2d') histogram |
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431 | * Suitable for 8x8 chs scan |
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432 | */ |
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433 | if( strstr(plopt, "sum") != NULL ) { |
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47 | f9daq | 434 | int nX = parameter2 - parameter1 + 1; |
35 | f9daq | 435 | int nY = chYend - chYstart + 1; |
436 | TCanvas* canvas12 = new TCanvas("canvas12","c2",8*200, 8*200); |
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437 | canvas12->cd(); |
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438 | gStyle->SetOptStat(0); |
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439 | |||
440 | // final histogram parameters |
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441 | TH2F* h0 = (TH2F*) rootfile->Get("h2d0"); |
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442 | Int_t binsX = h0->GetXaxis()->GetNbins(); |
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443 | Int_t minX = h0->GetXaxis()->GetFirst(); |
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444 | Int_t maxX = h0->GetXaxis()->GetLast()+1; |
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445 | Int_t binsY = h0->GetYaxis()->GetNbins(); |
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446 | Int_t minY = h0->GetYaxis()->GetFirst(); |
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447 | Int_t maxY = h0->GetYaxis()->GetLast()+1; |
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448 | Double_t xLowUser = h0->GetXaxis()->GetBinLowEdge(minX); |
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449 | Double_t xUpUser = h0->GetXaxis()->GetBinUpEdge(maxX); |
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450 | Double_t yLowUser = h0->GetYaxis()->GetBinLowEdge(minY); |
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451 | Double_t yUpUser = h0->GetYaxis()->GetBinUpEdge(maxY); |
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452 | if (debug) printf("xLow %f xUp %f\n",xLowUser,xUpUser); |
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453 | TH2F* h_corrected = new TH2F("h_corrected","h_corrected",binsX,xLowUser,xUpUser, binsY,yLowUser,yUpUser); |
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454 | TH2F* h[nX*nY]; |
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455 | |||
456 | // 2d histogram noise subtraction and poisson scaling |
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457 | for(int i=chYstart; i<=chYend; i++) { |
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47 | f9daq | 458 | for(int j=parameter1; j<=parameter2; j++) { |
35 | f9daq | 459 | int chPosition = map[j][i]; |
460 | char hname[128]; |
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461 | sprintf(hname, "h2d%d", chPosition); |
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47 | f9daq | 462 | int histogram = nX*(i-chYstart)+(j-parameter1); |
35 | f9daq | 463 | h[histogram] = (TH2F *) rootfile->Get(hname); |
464 | int noise = getNoise(h[histogram], 1, 170); |
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465 | if (debug) printf("noise: %d\n",noise); |
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466 | for(int k=minX; k<=maxX; k++) { |
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467 | for(int l=minY; l<=maxY; l++) { |
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468 | int signal = h[histogram]->GetBinContent(k,l); // detected |
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469 | //double p = ((signal - noise) > 0.1) ? (signal-noise) : 0.1; |
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470 | double p = signal - noise; |
||
471 | p /= 10000.; |
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472 | double p0 = 1.0 - p; // events with zero photons |
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473 | //double eta = (-log(p0) * p0 ) / (1-p0-0.00001); |
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474 | double eta = -log(p0); |
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475 | //printf("p=%f p0=%f log(p0)=%f eta=%f\n",p,p0,log(p0),eta); |
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476 | double x = k*(xUpUser-xLowUser)/double(binsX); |
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477 | double y = l*(yUpUser-yLowUser)/double(binsY); |
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47 | f9daq | 478 | h_corrected->Fill(x, y, eta); |
35 | f9daq | 479 | } |
480 | } |
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481 | |||
482 | } |
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483 | } |
||
484 | |||
485 | h_corrected->SetTitle("SiPM#2 n_p.e.;x[mm];y[mm]"); |
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486 | h_corrected->GetZaxis()->SetRangeUser(-0.05,.30); |
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487 | h_corrected->Draw("colz"); |
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488 | |||
489 | TCanvas* canvas13 = new TCanvas("canvas13","canvas13",600,300); |
||
490 | canvas13->Divide(2); |
||
491 | canvas13->cd(1); |
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492 | h[16]->Draw("colz"); |
||
493 | canvas13->cd(2); |
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494 | h[8]->Draw("colz"); |
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495 | } |
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496 | |||
497 | /** Draws the beam profile and fits it with error function |
||
498 | * on some background function |
||
499 | */ |
||
500 | if (strstr(plopt, "beam") != NULL) { |
||
501 | |||
502 | TCanvas* canvas9 = new TCanvas("canvas9","canvas9", 500,500); |
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503 | canvas9->cd(); |
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504 | char hname[128]; |
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47 | f9daq | 505 | sprintf(hname, "hnhitsx%d", 49); |
35 | f9daq | 506 | TH1F* h_laser = (TH1F*)rootfile->Get(hname); |
507 | h_laser->Draw(); |
||
508 | h_laser->SetStats(1); |
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509 | |||
47 | f9daq | 510 | TF1* err = new TF1("err","[0]+[1]*TMath::Erf((x-[2])/[3])",parameter1,parameter2); |
35 | f9daq | 511 | err->SetParameter(0,2500); |
512 | err->SetParameter(1, h_laser->GetMaximum()); |
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513 | err->SetParameter(2, h_laser->GetBinCenter(h_laser->GetMaximumBin())); |
||
514 | err->SetParameter(3, 0.001); |
||
515 | h_laser->Fit(err,"qr"); |
||
516 | h_laser->Fit(err,"lr"); |
||
517 | double sigma = err->GetParameter(3); |
||
518 | printf("sigma = %2.0f um, FWHM = %2.0f um\n", sigma*1000, 2.35*sigma*1000); |
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519 | } |
||
520 | |||
521 | if (strstr(plopt, "map") != NULL) { |
||
522 | TCanvas* canvas1 = new TCanvas("canvas1","canvas1",1000,1000); |
||
523 | canvas1->cd(); |
||
524 | TH2I* h_map = new TH2I("h_map","h_map",8,-0.5,7.5,8,-0.5,7.5); |
||
525 | for (int i=7; i>=0; i--) { |
||
526 | //for (int j=7; j>=0; j--) printf("(%d, %d) ", j,i); |
||
527 | for (int j=7; j>=0; j--) { |
||
528 | printf("%2d (%d %d)\n", map[j][i], j*10080+5040, i*10080+5040); |
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529 | h_map->Fill(j,i, map[j][i]); |
||
530 | } |
||
531 | printf("\n"); |
||
532 | } |
||
533 | gStyle->SetOptStat(0); |
||
534 | h_map->Draw("text"); |
||
535 | } |
||
47 | f9daq | 536 | |
537 | if(strstr(plopt, "p") != NULL) { |
||
538 | TCanvas* canvasLast = new TCanvas("canvasLast","",500,500); |
||
539 | canvasLast->Print("result.pdf)"); |
||
540 | } |
||
541 | |||
35 | f9daq | 542 | |
543 | return(0); |
||
544 | } |
||
545 | |||
546 | /** Function calculates the noise from one channel |
||
547 | * it runs through the bins along x and returns the average value |
||
548 | */ |
||
549 | double getNoise(TH2F* histogram, int yStart, int yEnd) |
||
550 | { |
||
551 | double noise=0; |
||
552 | int count=0; |
||
553 | for(int j=yStart; j<yEnd; j++) { |
||
554 | double value = histogram->GetBinContent(j,2); |
||
555 | //if (noise < value) noise = value; |
||
556 | noise += value; |
||
557 | count++; |
||
558 | } |
||
559 | return (noise/double(count)); |
||
560 | } |
||
561 |