// file to check the integration time alone doesn't alter the baseline #include "../sls_detector_calibration/jungfrauCommonHeader.h" #include "../sls_detector_calibration/jungfrauCommonFunctions.h" #include "../sls_detector_calibration/jungfrauFile.C" #include "../sls_detector_calibration/jungfrauPixelMask.C" #include "TGraph.h" #include "TGraphErrors.h" #include "TF1.h" #include "TFile.h" #include "TPaveStats.h" #include "TLegend.h" #include "TPaveText.h" #include #include int main(int argc, char* argv[]) { jungfrauStyle(); gROOT->SetBatch(1); gStyle->SetOptFit(11); if (argc != 6) { cout << "Correct usage:" << endl; cout << "arg 1: specify module number" << endl; cout << "arg 2: specify data location" << endl; cout << "arg 3: specify CS data file" << endl; cout << "arg 4: specify Baseline G1 data file" << endl; cout << "arg 5: specify Baseline G2 data file" << endl; cout << " " << endl; exit(1); } string module_str = argv[1]; string data_loc = argv[2]; string data_file = argv[3]; string base1_file = argv[4]; string base2_file = argv[5]; jungfrauFile *thisfile = new jungfrauFile(); jungfrauPixelMask *pixelMaskObject = new jungfrauPixelMask(); bool pixel_mask [NCH]; char savename[128]; int createHistoFile = 0; // default pixel mask pixelMaskObject->initialisePixelMask(pixel_mask); if (module_str == "006") { pixelMaskObject->maskChip(6, pixel_mask); pixelMaskObject->maskSupercolumn(4,1, pixel_mask); pixelMaskObject->maskSupercolumn(4,2, pixel_mask); } else if (module_str == "065") { pixelMaskObject->maskChip(5,pixel_mask); } sprintf(savename,"plots/M%s/CS_BaselineTest/pixelmask.png", module_str.c_str()); pixelMaskObject->plotPixelMask(pixel_mask,savename); cout << "after chip mask, n masked pixels is " << pixelMaskObject->getNMasked(pixel_mask) << endl; TCanvas *mapcanvas = new TCanvas("mapcanvas","",150,10,800,400); mapcanvas->SetLeftMargin(0.1); mapcanvas->SetRightMargin(0.13); mapcanvas->SetTopMargin(0.08); mapcanvas->SetBottomMargin(0.15); TH2F *adcmap_avg_g1 [3][51]; TH2F *adcmap_avg_g2 [3][51]; TH2F *adcermap_avg_g1 [3][51]; TH2F *adcermap_avg_g2 [3][51]; TCanvas *c1 = new TCanvas("c1",""); // creating the histograms if (createHistoFile) { for (int k = 0; k < 3; k++) { for(int i = 0; i < 51; i++) { ostringstream histogramNameStreamg1; histogramNameStreamg1 << "adcmap_avg_g1_" << k << "_" << i; adcmap_avg_g1[k][i] = new TH2F(histogramNameStreamg1.str().c_str(),"",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); ostringstream histogramNameStreamg2; histogramNameStreamg2 << "adcmap_avg_g2_" << k << "_" << i; adcmap_avg_g2[k][i] = new TH2F(histogramNameStreamg2.str().c_str(),"",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); ostringstream histogramNameStreamg3; histogramNameStreamg3 << "adcermap_avg_g1_" << k << "_" << i; adcermap_avg_g1[k][i] = new TH2F(histogramNameStreamg3.str().c_str(),"",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); ostringstream histogramNameStreamg4; histogramNameStreamg4 << "adcermap_avg_g2_" << k << "_" << i; adcermap_avg_g2[k][i] = new TH2F(histogramNameStreamg4.str().c_str(),"",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); } } TH2F *gainmap_all = new TH2F("gainmap_all","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *adcmap_all = new TH2F("adcmap_all","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *gainmap_sel = new TH2F("gainmap_sel","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *adcmap_sel = new TH2F("adcmap_sel","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH1F *gain_avg = new TH1F("gain_avg","",100,-1,4); TH2F *gainmap_avg = new TH2F("gainmap_avg","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH1F *adc_avg_g1 = new TH1F("adc_avg_g1","",100,0,17000); TH1F *adc_avg_g2 = new TH1F("adc_avg_g2","",100,0,17000); for (int typeOfScan = 0; typeOfScan < 3; typeOfScan++) { int frame_counter = 0; int j = 0; int nfiles = 4; static TH1I *adc_histos_g1 [NCH]; static TH1I *adc_histos_g2 [NCH]; static TH1I *gain_histos [NCH]; for(int i = 0; i < NCH; i++) { ostringstream histogramNameStreamg1; histogramNameStreamg1 << "adc_histos_g1_" << i; adc_histos_g1[i] = new TH1I(histogramNameStreamg1.str().c_str(),"",100,0,17000); ostringstream histogramNameStreamg2; histogramNameStreamg2 << "adc_histos_g2_" << i; adc_histos_g2[i] = new TH1I(histogramNameStreamg2.str().c_str(),"",100,0,17000); ostringstream histogramNameStream2; histogramNameStream2 << "gain_histos_" << i; gain_histos[i] = new TH1I(histogramNameStream2.str().c_str(),"",4,-0.5,3.5); } string typeOfScanStr; if (typeOfScan == 0) { typeOfScanStr = "CS"; } else if (typeOfScan == 1) { typeOfScanStr = "BG1"; } else if (typeOfScan == 2) { typeOfScanStr = "BG2"; } for (int filei = 0; filei < nfiles; filei++) { if (typeOfScan == 0) { sprintf(savename,"%s/%s_%%6.6d.dat", data_loc.c_str(), data_file.c_str()); } else if (typeOfScan == 1) { sprintf(savename,"%s/%s_%%6.6d.dat", data_loc.c_str(), base1_file.c_str()); } else if (typeOfScan == 2) { sprintf(savename,"%s/%s_%%6.6d.dat", data_loc.c_str(), base2_file.c_str()); } thisfile->open((char*)savename, filei); if (filei == 0) { for (int k = 0; k < (640*3); k++) { thisfile->readNextFrame(); frame_counter++; } } while (thisfile->readNextFrame()) { frame_counter++; j++; uint16_t* imagedptr = thisfile->getFrameDataHandle(); for (int i = 0; i < NCH; i++) { if ((j-1) < 10 || (j > 8075 && j < 8085)) { if (pixel_mask[i] == true) { uint16_t adc = imagedptr[i]&0x3fff; uint16_t gain = (imagedptr[i]&0xc000) >> 14; adcmap_all->Fill(i%NC,i/NC,adc); gainmap_all->Fill(i%NC,i/NC,gain); } } if (((i/NC <= 255) && (i%64 == (j-1)%64)) || ((i/NC >= 256) &&((-1*(i-524287))%64 == (j-1)%64))) { if (pixel_mask[i] == true) { uint16_t adc = imagedptr[i]&0x3fff; uint16_t gain = (imagedptr[i]&0xc000) >> 14; if (adc > 0) { gain_histos[i]->Fill(gain); if (gain == 1) { adc_histos_g1[i]->Fill(adc); } else if (gain == 3) { adc_histos_g2[i]->Fill(adc); } } if ((j-1) < 10 || (j > 8075 && j < 8085)) { adcmap_sel->Fill(i%NC,i/NC,adc); gainmap_sel->Fill(i%NC,i/NC,gain); } } } } if ((j-1) < 10 || (j > 8075 && j < 8085)) { mapcanvas->cd(); adcmap_sel->GetXaxis()->SetTitle("Column"); adcmap_sel->GetYaxis()->SetTitle("Row"); adcmap_sel->GetYaxis()->SetTitleOffset(0.7); adcmap_sel->Draw("colz"); sprintf(savename,"plots/M%s/CS_BaselineTest/adcmap_%s_%i_sel.png", module_str.c_str(), typeOfScanStr.c_str(), j-1); mapcanvas->SaveAs((const char *)(savename)); adcmap_all->GetXaxis()->SetTitle("Column"); adcmap_all->GetYaxis()->SetTitle("Row"); adcmap_all->GetYaxis()->SetTitleOffset(0.7); adcmap_all->Draw("colz"); sprintf(savename,"plots/M%s/CS_BaselineTest/adcmap_%s_%i_all.png", module_str.c_str(), typeOfScanStr.c_str(), j-1); mapcanvas->SaveAs((const char *)(savename)); gainmap_sel->GetXaxis()->SetTitle("Column"); gainmap_sel->GetYaxis()->SetTitle("Row"); gainmap_sel->GetYaxis()->SetTitleOffset(0.7); gainmap_sel->Draw("colz"); sprintf(savename,"plots/M%s/CS_BaselineTest/gainmap_%s_%i_sel.png", module_str.c_str(), typeOfScanStr.c_str(), j-1); mapcanvas->SaveAs((const char *)(savename)); gainmap_all->GetXaxis()->SetTitle("Column"); gainmap_all->GetYaxis()->SetTitle("Row"); gainmap_all->GetYaxis()->SetTitleOffset(0.7); gainmap_all->Draw("colz"); sprintf(savename,"plots/M%s/CS_BaselineTest/gainmap_%s_%i_all.png", module_str.c_str(), typeOfScanStr.c_str(), j-1); mapcanvas->SaveAs((const char *)(savename)); adcmap_sel->Reset(); adcmap_all->Reset(); gainmap_sel->Reset(); gainmap_all->Reset(); } if (j%640 == 0) { for (int i = 0; i < NCH; i++) { if (pixel_mask[i] == true) { gainmap_avg->Fill(i%NC,i/NC,gain_histos[i]->GetMean()); adcmap_avg_g1[typeOfScan][j/640-1]->Fill(i%NC,i/NC,adc_histos_g1[i]->GetMean()); adcermap_avg_g1[typeOfScan][j/640-1]->Fill(i%NC,i/NC,adc_histos_g1[i]->GetMeanError()); adcmap_avg_g2[typeOfScan][j/640-1]->Fill(i%NC,i/NC,adc_histos_g2[i]->GetMean()); adcermap_avg_g2[typeOfScan][j/640-1]->Fill(i%NC,i/NC,adc_histos_g2[i]->GetMeanError()); if (gain_histos[i]->GetEntries() > 0) { gain_avg->Fill(gain_histos[i]->GetMean()); } if (adc_histos_g1[i]->GetEntries() > 0) { adc_avg_g1->Fill(adc_histos_g1[i]->GetMean()); } if (adc_histos_g2[i]->GetEntries() > 0) { adc_avg_g2->Fill(adc_histos_g2[i]->GetMean()); } gain_histos[i]->Reset(); adc_histos_g1[i]->Reset(); adc_histos_g2[i]->Reset(); } } c1->cd(); gain_avg->GetXaxis()->SetTitle("Average gain"); gain_avg->GetXaxis()->SetTitleOffset(1.1); gain_avg->GetYaxis()->SetTitleOffset(1.5); gain_avg->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/perStep/gain_avg_%s_%i.png", module_str.c_str(), typeOfScanStr.c_str(), j/640); c1->SaveAs((const char *)(savename)); mapcanvas->cd(); gainmap_avg->GetXaxis()->SetTitle("Column"); gainmap_avg->GetYaxis()->SetTitle("Row"); gainmap_avg->GetYaxis()->SetTitleOffset(0.7); gainmap_avg->Draw("colz"); sprintf(savename,"plots/M%s/CS_BaselineTest/perStep/gainmap_avg_%s_%i.png", module_str.c_str(), typeOfScanStr.c_str(), j/640); mapcanvas->SaveAs((const char *)(savename)); c1->cd(); adc_avg_g1->GetXaxis()->SetTitle("Average G1 ADC"); adc_avg_g1->GetXaxis()->SetTitleOffset(1.1); adc_avg_g1->GetYaxis()->SetTitleOffset(1.5); adc_avg_g1->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/perStep/adc_avg_g1_%s_%i.png", module_str.c_str(), typeOfScanStr.c_str(), j/640); c1->SaveAs((const char *)(savename)); mapcanvas->cd(); adcmap_avg_g1[typeOfScan][j/640-1]->GetXaxis()->SetTitle("Column"); adcmap_avg_g1[typeOfScan][j/640-1]->GetYaxis()->SetTitle("Row"); adcmap_avg_g1[typeOfScan][j/640-1]->GetYaxis()->SetTitleOffset(0.7); adcmap_avg_g1[typeOfScan][j/640-1]->Draw("colz"); mapcanvas->Update(); sprintf(savename,"plots/M%s/CS_BaselineTest/perStep/adcmap_avg_%s_g1_%i.png", module_str.c_str(), typeOfScanStr.c_str(), j/640); mapcanvas->SaveAs((const char *)(savename)); adcermap_avg_g1[typeOfScan][j/640-1]->GetXaxis()->SetTitle("Column"); adcermap_avg_g1[typeOfScan][j/640-1]->GetYaxis()->SetTitle("Row"); adcermap_avg_g1[typeOfScan][j/640-1]->GetYaxis()->SetTitleOffset(0.7); adcermap_avg_g1[typeOfScan][j/640-1]->Draw("colz"); mapcanvas->Update(); sprintf(savename,"plots/M%s/CS_BaselineTest/perStep/adcermap_avg_%s_g1_%i.png", module_str.c_str(), typeOfScanStr.c_str(), j/640); mapcanvas->SaveAs((const char *)(savename)); c1->cd(); adc_avg_g2->GetXaxis()->SetTitle("Average G2 ADC"); adc_avg_g2->GetXaxis()->SetTitleOffset(1.1); adc_avg_g2->GetYaxis()->SetTitleOffset(1.5); adc_avg_g2->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/perStep/adc_avg_g2_%s_%i.png", module_str.c_str(), typeOfScanStr.c_str(), j/640); c1->SaveAs((const char *)(savename)); mapcanvas->cd(); adcmap_avg_g2[typeOfScan][j/640-1]->GetXaxis()->SetTitle("Column"); adcmap_avg_g2[typeOfScan][j/640-1]->GetYaxis()->SetTitle("Row"); adcmap_avg_g2[typeOfScan][j/640-1]->GetYaxis()->SetTitleOffset(0.7); adcmap_avg_g2[typeOfScan][j/640-1]->Draw("colz"); sprintf(savename,"plots/M%s/CS_BaselineTest/perStep/adcmap_avg_%s_g2_%i.png", module_str.c_str(), typeOfScanStr.c_str(), j/640); mapcanvas->SaveAs((const char *)(savename)); adcermap_avg_g2[typeOfScan][j/640-1]->GetXaxis()->SetTitle("Column"); adcermap_avg_g2[typeOfScan][j/640-1]->GetYaxis()->SetTitle("Row"); adcermap_avg_g2[typeOfScan][j/640-1]->GetYaxis()->SetTitleOffset(0.7); adcermap_avg_g2[typeOfScan][j/640-1]->Draw("colz"); sprintf(savename,"plots/M%s/CS_BaselineTest/perStep/adcermap_avg_%s_g2_%i.png", module_str.c_str(), typeOfScanStr.c_str(), j/640); mapcanvas->SaveAs((const char *)(savename)); gain_avg->Reset(); gainmap_avg->Reset(); adc_avg_g1->Reset(); adc_avg_g2->Reset(); } } // end of while thisfile->close(); } // end of files for (int i = 0; i < NCH; i++) { delete gain_histos[i]; delete adc_histos_g1[i]; delete adc_histos_g2[i]; } cout << "frame_counter " << frame_counter << endl; } // ends type of scan // save histograms sprintf(savename,"/mnt/pcmoench_jungfrau_data1_ib/jungfrau_ana_sophie/M%s_CalibAna/CS_BaselineTest_histos.root", module_str.c_str()); TFile* saved_file = new TFile((const char *)(savename),"RECREATE"); for (int k = 0; k < 3; k++) { for (int i = 0; i < 51; i++) { adcmap_avg_g1[k][i]->Write(); adcmap_avg_g2[k][i]->Write(); adcermap_avg_g1[k][i]->Write(); adcermap_avg_g2[k][i]->Write(); } } saved_file->Close(); } else { // load histos cout << "LOADING HISTOS" << endl; sprintf(savename,"/mnt/pcmoench_jungfrau_data1_ib/jungfrau_ana_sophie/M%s_CalibAna/CS_BaselineTest_histos.root", module_str.c_str()); TFile* saved_file = new TFile((const char *)(savename),"READ"); for (int k = 0; k < 3; k++) { for (int i = 0; i < 51; i++) { sprintf(savename,"adcmap_avg_g1_%d_%d", k, i); adcmap_avg_g1[k][i] = (TH2F*)saved_file->Get((const char *)(savename)); sprintf(savename,"adcmap_avg_g2_%d_%d", k, i); adcmap_avg_g2[k][i] = (TH2F*)saved_file->Get((const char *)(savename)); sprintf(savename,"adcermap_avg_g1_%d_%d", k, i); adcermap_avg_g1[k][i] = (TH2F*)saved_file->Get((const char *)(savename)); sprintf(savename,"adcermap_avg_g2_%d_%d", k, i); adcermap_avg_g2[k][i] = (TH2F*)saved_file->Get((const char *)(savename)); } } } TH2F *g1map = new TH2F("g1map","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g1map_b = new TH2F("g1map_b","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g1map_csmb = new TH2F("g1map_csmb","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g1ermap = new TH2F("g1ermap","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g2map = new TH2F("g2map","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g2map_b = new TH2F("g2map_b","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g2map_csmb = new TH2F("g2map_csmb","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g2ermap = new TH2F("g2ermap","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g1overg2map = new TH2F("g1overg2map","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g1overg2map_csmb = new TH2F("g1overg2map_csmb","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH2F *g1overg2ermap = new TH2F("g1overg2ermap","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH1F *g1hist = new TH1F("g1hist","",100,-3000,0); TH1F *g1hist_b = new TH1F("g1hist_b","",100,-15,15); TH1F *g1hist_csmb = new TH1F("g1hist_csmb","",100,0,3000); TH1F *g1erhist = new TH1F("g1erhist","",100,0,50); TH1F *g2hist = new TH1F("g2hist","",100,-300,0); TH1F *g2hist_b = new TH1F("g2hist_b","",100,-5,5); TH1F *g2hist_csmb = new TH1F("g2hist_csmb","",100,0,300); TH1F *g2erhist = new TH1F("g2erhist","",100,0,10); TH1F *g1overg2hist = new TH1F("g1overg2hist","",100,11,15); TH1F *g1overg2hist_csmb = new TH1F("g1overg2hist_csmb","",100,11,15); TH1F *g1overg2erhist = new TH1F("g1overg2erhist","",100,0,1); TH2F *cs_csmb_diffmap = new TH2F("cs_csmb_diffmap","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5); TH1F *cs_csmb_diffhist = new TH1F("cs_csmb_diffhist","",100,-1,1); double filter[51]; for (int i = 0; i < 9; i++) { filter[i] = 0.05+(i*0.05); } for (int i = 0; i < 17; i++) { filter[i+9] = 0.5+(i*0.25); } for (int i = 0; i < 17; i++) { filter[i+9+17] = 5.+(i*2.5); } for (int i = 0; i < 8; i++) { filter[i+9+17+17] = 50.+(i*10.); } for (int i = 0; i < NCH; i++) { if (pixel_mask[i] == true) { // original CS vector r1_adc; vector r1_filter; vector r1_adcerr; vector r1_ferr; vector r3_adc; vector r3_filter; vector r3_adcerr; vector r3_ferr; // CS - baseline vector r1_adc_csmb; vector r3_adc_csmb; // baselines vector r1_adc_b; vector r3_adc_b; // filter out points at zero and points with 0 error (mean taken from one entry in hist) int m_max = 51; for (int m = 0; m < m_max; m++) { if (adcmap_avg_g1[0][m]->GetBinContent((i%NC)+1,(i/NC)+1) != 0 && adcermap_avg_g1[0][m]->GetBinContent((i%NC)+1,(i/NC)+1) > 0) { // original r1_adc.push_back(adcmap_avg_g1[0][m]->GetBinContent((i%NC)+1,(i/NC)+1)); r1_filter.push_back(filter[m]); r1_adcerr.push_back(adcermap_avg_g1[0][m]->GetBinContent((i%NC)+1,(i/NC)+1)); r1_ferr.push_back(0.); // cs - baseline r1_adc_csmb.push_back(adcmap_avg_g1[1][m]->GetBinContent((i%NC)+1,(i/NC)+1) - adcmap_avg_g1[0][m]->GetBinContent((i%NC)+1,(i/NC)+1)); // baseline r1_adc_b.push_back(adcmap_avg_g1[1][m]->GetBinContent((i%NC)+1,(i/NC)+1)); } if (adcmap_avg_g2[0][m]->GetBinContent((i%NC)+1,(i/NC)+1) != 0 && adcermap_avg_g2[0][m]->GetBinContent((i%NC)+1,(i/NC)+1) > 0) { // original r3_adc.push_back(adcmap_avg_g2[0][m]->GetBinContent((i%NC)+1,(i/NC)+1)); r3_filter.push_back(filter[m]); r3_adcerr.push_back(adcermap_avg_g2[0][m]->GetBinContent((i%NC)+1,(i/NC)+1)); r3_ferr.push_back(0.); // cs - baseline r3_adc_csmb.push_back(adcmap_avg_g2[2][m]->GetBinContent((i%NC)+1,(i/NC)+1) - adcmap_avg_g2[0][m]->GetBinContent((i%NC)+1,(i/NC)+1)); // baseline r3_adc_b.push_back(adcmap_avg_g2[2][m]->GetBinContent((i%NC)+1,(i/NC)+1)); } } if (r1_adc.size() > 1 && r3_adc.size() > 1) { // original TGraphErrors *grap_g1 = new TGraphErrors(r1_adc.size(),&(r1_filter[0]),&(r1_adc[0]),&(r1_ferr[0]),&(r1_adcerr[0])); TGraphErrors *grap_g2 = new TGraphErrors(r3_adc.size(),&(r3_filter[0]),&(r3_adc[0]),&(r3_ferr[0]),&(r3_adcerr[0])); double rangemin2 = 2; double rangemax2 = *max_element(r1_filter.begin(),r1_filter.end()); TF1 *fit2 = new TF1("fit2","[0]+[1]*x",rangemin2,rangemax2); fit2->SetParameter(0, 10000.); fit2->SetParameter(1, -2000); fit2->SetLineColor(kGreen+2); fit2->SetParName(0,"G1 const"); fit2->SetParName(1,"G1 grad"); grap_g1->Fit(fit2,"QR",""); g1hist->Fill(fit2->GetParameter(1)); g1map->Fill(i%NC,i/NC,fit2->GetParameter(1)); g1erhist->Fill(fit2->GetParError(1)); g1ermap->Fill(i%NC,i/NC,fit2->GetParError(1)); double rangemin3 = *min_element(r3_filter.begin(),r3_filter.end()); double rangemax3 = *max_element(r3_filter.begin(),r3_filter.end()); TF1 *fit3 = new TF1("fit3","[0]+[1]*x",rangemin3, rangemax3); fit3->SetParameter(0, 7000.); fit3->SetParameter(1, -150); fit3->SetLineColor(kRed); fit3->SetParName(0,"G2 const"); fit3->SetParName(1,"G2 grad"); grap_g2->Fit(fit3,"QR+",""); g2hist->Fill(fit3->GetParameter(1)); g2map->Fill(i%NC,i/NC,fit3->GetParameter(1)); g2erhist->Fill(fit3->GetParError(1)); g2ermap->Fill(i%NC,i/NC,fit3->GetParError(1)); g1overg2hist->Fill(fit2->GetParameter(1) / fit3->GetParameter(1)); g1overg2erhist->Fill(abs(fit2->GetParameter(1)/fit3->GetParameter(1))*sqrt(pow((fit2->GetParError(1)/fit2->GetParameter(1)),2) + pow((fit3->GetParError(1)/fit3->GetParameter(1)),2))); g1overg2map->Fill(i%NC,i/NC,fit2->GetParameter(1) / fit3->GetParameter(1)); g1overg2ermap->Fill(i%NC,i/NC,abs(fit2->GetParameter(1)/fit3->GetParameter(1))*sqrt(pow((fit2->GetParError(1)/fit2->GetParameter(1)),2) + pow((fit3->GetParError(1)/fit3->GetParameter(1)),2))); // cs - baseline TGraphErrors *grap_g1_csmb = new TGraphErrors(r1_adc_csmb.size(),&(r1_filter[0]),&(r1_adc_csmb[0]),&(r1_ferr[0]),&(r1_adcerr[0])); TGraphErrors *grap_g2_csmb = new TGraphErrors(r3_adc_csmb.size(),&(r3_filter[0]),&(r3_adc_csmb[0]),&(r3_ferr[0]),&(r3_adcerr[0])); TF1 *fit2_csmb = new TF1("fit2_csmb","[0]+[1]*x",rangemin2,rangemax2); fit2_csmb->SetParameter(0, 2000.); fit2_csmb->SetParameter(1, 2000); fit2_csmb->SetLineColor(kGreen+2); fit2_csmb->SetParName(0,"G1 const"); fit2_csmb->SetParName(1,"G1 grad"); grap_g1_csmb->Fit(fit2_csmb,"QR",""); g1hist_csmb->Fill(fit2_csmb->GetParameter(1)); g1map_csmb->Fill(i%NC,i/NC,fit2_csmb->GetParameter(1)); TF1 *fit3_csmb = new TF1("fit3_csmb","[0]+[1]*x",rangemin3, rangemax3); fit3_csmb->SetParameter(0, 50.); fit3_csmb->SetParameter(1, 150); fit3_csmb->SetLineColor(kRed); fit3_csmb->SetParName(0,"G2 const"); fit3_csmb->SetParName(1,"G2 grad"); grap_g2_csmb->Fit(fit3_csmb,"QR+",""); g2hist_csmb->Fill(fit3_csmb->GetParameter(1)); g2map_csmb->Fill(i%NC,i/NC,fit3_csmb->GetParameter(1)); g1overg2hist_csmb->Fill(fit2_csmb->GetParameter(1) / fit3_csmb->GetParameter(1)); g1overg2map_csmb->Fill(i%NC,i/NC,fit2_csmb->GetParameter(1) / fit3_csmb->GetParameter(1)); cs_csmb_diffmap->Fill(i%NC,i/NC,(fit2_csmb->GetParameter(1) / fit3_csmb->GetParameter(1))-(fit2->GetParameter(1) / fit3->GetParameter(1))); cs_csmb_diffhist->Fill((fit2_csmb->GetParameter(1) / fit3_csmb->GetParameter(1))-(fit2->GetParameter(1) / fit3->GetParameter(1))); // baseline TGraphErrors *grap_g1_b = new TGraphErrors(r1_adc_b.size(),&(r1_filter[0]),&(r1_adc_b[0]),&(r1_ferr[0]),&(r1_adcerr[0])); TGraphErrors *grap_g2_b = new TGraphErrors(r3_adc_b.size(),&(r3_filter[0]),&(r3_adc_b[0]),&(r3_ferr[0]),&(r3_adcerr[0])); TF1 *fit2_b = new TF1("fit2_b","[0]+[1]*x",rangemin2,rangemax2); fit2_b->SetParameter(0, 10000.); fit2_b->SetParameter(1, 0); fit2_b->SetLineColor(kGreen+2); fit2_b->SetParName(0,"G1 const"); fit2_b->SetParName(1,"G1 grad"); grap_g1_b->Fit(fit2_b,"QR",""); g1hist_b->Fill(fit2_b->GetParameter(1)); g1map_b->Fill(i%NC,i/NC,fit2_b->GetParameter(1)); TF1 *fit3_b = new TF1("fit3_b","[0]+[1]*x",rangemin3, rangemax3); fit3_b->SetParameter(0, 7000.); fit3_b->SetParameter(1, 0); fit3_b->SetLineColor(kRed); fit3_b->SetParName(0,"G2 const"); fit3_b->SetParName(1,"G2 grad"); grap_g2_b->Fit(fit3_b,"QR+",""); g2hist_b->Fill(fit3_b->GetParameter(1)); g2map_b->Fill(i%NC,i/NC,fit3_b->GetParameter(1)); if (i >= 58000 && i < 58000+10) { string pixel_type = "b"; mapcanvas->cd(); mapcanvas->SetLeftMargin(0.13); mapcanvas->SetRightMargin(0.05); grap_g1->SetMarkerStyle(20); grap_g2->SetMarkerStyle(20); grap_g1->SetMarkerColor(kGreen+2); grap_g2->SetMarkerColor(kRed); grap_g1->SetLineColor(kGreen+2); grap_g2->SetLineColor(kRed); TF1 *fit2_e = new TF1("fit2_e","[0]+[1]*x",0.009,1.1E3); TF1 *fit3_e = new TF1("fit3_e","[0]+[1]*x",0.009,1.1E3); fit2_e->SetParameters(fit2->GetParameter(0),fit2->GetParameter(1)); fit2_e->SetLineColor(kGreen+2); fit2_e->SetLineStyle(2); fit3_e->SetParameters(fit3->GetParameter(0),fit3->GetParameter(1)); fit3_e->SetLineColor(kRed); fit3_e->SetLineStyle(2); grap_g1->GetXaxis()->SetLimits(0.05,5.1E1); grap_g1->SetMinimum(0); grap_g1->SetMaximum(20000); grap_g1->GetXaxis()->SetTitle("Integration time [#mus]"); grap_g1->GetYaxis()->SetTitle("ADC [ADU]"); grap_g1->GetYaxis()->SetTitleOffset(0.9); grap_g1->Draw("AP"); fit2->Draw("same"); mapcanvas->Update(); TPaveStats *st0 = (TPaveStats*)grap_g1->FindObject("stats"); st0->SetX1NDC(0.2); st0->SetX2NDC(0.54); st0->SetY1NDC(0.71); st0->SetY2NDC(0.90); st0->SetBorderSize(0); st0->SetTextColor(kGreen+2); grap_g2->Draw("P"); fit3->Draw("same"); mapcanvas->Update(); TPaveStats *st1 = (TPaveStats*)grap_g2->FindObject("stats"); st1->SetX1NDC(0.6); st1->SetX2NDC(0.94); st1->SetY1NDC(0.71); st1->SetY2NDC(0.90); st1->SetBorderSize(0); st1->SetTextColor(kRed); fit2_e->Draw("same"); fit3_e->Draw("same"); mapcanvas->SetLogx(); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); mapcanvas->SetLogx(0); // normalise vector r1_adc_norm; vector r3_adc_norm; for (size_t j = 0; j < r1_adc.size(); j++) { r1_adc_norm.push_back(r1_adc[j] - fit2->Eval(r1_filter[j])); } for (size_t j = 0; j < r3_adc.size(); j++) { r3_adc_norm.push_back(r3_adc[j] - fit3->Eval(r3_filter[j])); } TGraphErrors *grap1_norm = new TGraphErrors(r1_adc.size(),&(r1_filter[0]),&(r1_adc_norm[0]),&(r1_ferr[0]),&(r1_adcerr[0])); TGraphErrors *grap2_norm = new TGraphErrors(r3_adc.size(),&(r3_filter[0]),&(r3_adc_norm[0]),&(r3_ferr[0]),&(r3_adcerr[0])); TF1* flat_g1 = new TF1("flat_g1","0",rangemin2, rangemax2); TF1* flat_g2 = new TF1("flat_g2","0",rangemin3, rangemax3); grap1_norm->SetMarkerColor(kGreen+2); grap1_norm->SetLineColor(kGreen+2); flat_g1->SetLineColor(kGreen+2); grap1_norm->GetXaxis()->SetTitle("Integration time [#mus]"); grap1_norm->GetYaxis()->SetTitle("Normalised ADC [ADU]"); grap1_norm->GetYaxis()->SetTitleOffset(0.9); grap1_norm->SetMinimum(-100); grap1_norm->SetMaximum(100); grap1_norm->Draw("AP"); flat_g1->Draw("same"); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d_g1norm.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); grap2_norm->SetMarkerColor(kRed); grap2_norm->SetLineColor(kRed); flat_g2->SetLineColor(kRed); grap2_norm->GetXaxis()->SetTitle("Integration time [#mus]"); grap2_norm->GetYaxis()->SetTitle("Normalised ADC [ADU]"); grap2_norm->GetYaxis()->SetTitleOffset(0.9); grap2_norm->SetMinimum(-100); grap2_norm->SetMaximum(100); grap2_norm->Draw("AP"); flat_g2->Draw("same"); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d_g2norm.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); delete fit2_e; delete fit3_e; delete grap1_norm; delete grap2_norm; // cs - b mapcanvas->SetLeftMargin(0.13); mapcanvas->SetRightMargin(0.05); grap_g1_csmb->SetMarkerStyle(20); grap_g2_csmb->SetMarkerStyle(20); grap_g1_csmb->SetMarkerColor(kGreen+2); grap_g2_csmb->SetMarkerColor(kRed); grap_g1_csmb->SetLineColor(kGreen+2); grap_g2_csmb->SetLineColor(kRed); TF1 *fit2_e_csmb = new TF1("fit2_e_csmb","[0]+[1]*x",0.009,1.1E3); TF1 *fit3_e_csmb = new TF1("fit3_e_csmb","[0]+[1]*x",0.009,1.1E3); fit2_e_csmb->SetParameters(fit2_csmb->GetParameter(0),fit2_csmb->GetParameter(1)); fit2_e_csmb->SetLineColor(kGreen+2); fit2_e_csmb->SetLineStyle(2); fit3_e_csmb->SetParameters(fit3_csmb->GetParameter(0),fit3_csmb->GetParameter(1)); fit3_e_csmb->SetLineColor(kRed); fit3_e_csmb->SetLineStyle(2); grap_g1_csmb->GetXaxis()->SetLimits(0.05,5.1E1); grap_g1_csmb->SetMinimum(0); grap_g1_csmb->SetMaximum(20000); grap_g1_csmb->GetXaxis()->SetTitle("Integration time [#mus]"); grap_g1_csmb->GetYaxis()->SetTitle("ADC [ADU]"); grap_g1_csmb->GetYaxis()->SetTitleOffset(0.9); grap_g1_csmb->Draw("AP"); fit2_csmb->Draw("same"); mapcanvas->Update(); st0 = (TPaveStats*)grap_g1_csmb->FindObject("stats"); st0->SetX1NDC(0.2); st0->SetX2NDC(0.54); st0->SetY1NDC(0.71); st0->SetY2NDC(0.90); st0->SetBorderSize(0); st0->SetTextColor(kGreen+2); grap_g2_csmb->Draw("P"); fit3_csmb->Draw("same"); mapcanvas->Update(); st1 = (TPaveStats*)grap_g2_csmb->FindObject("stats"); st1->SetX1NDC(0.6); st1->SetX2NDC(0.94); st1->SetY1NDC(0.71); st1->SetY2NDC(0.90); st1->SetBorderSize(0); st1->SetTextColor(kRed); fit2_e_csmb->Draw("same"); fit3_e_csmb->Draw("same"); mapcanvas->SetLogx(); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d_csmb.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); mapcanvas->SetLogx(0); // normalise vector r1_adc_norm_csmb; vector r3_adc_norm_csmb; for (size_t j = 0; j < r1_adc_csmb.size(); j++) { r1_adc_norm_csmb.push_back(r1_adc_csmb[j] - fit2_csmb->Eval(r1_filter[j])); } for (size_t j = 0; j < r3_adc_csmb.size(); j++) { r3_adc_norm_csmb.push_back(r3_adc_csmb[j] - fit3_csmb->Eval(r3_filter[j])); } TGraphErrors *grap1_norm_csmb = new TGraphErrors(r1_adc_csmb.size(),&(r1_filter[0]),&(r1_adc_norm_csmb[0]),&(r1_ferr[0]),&(r1_adcerr[0])); TGraphErrors *grap2_norm_csmb = new TGraphErrors(r3_adc_csmb.size(),&(r3_filter[0]),&(r3_adc_norm_csmb[0]),&(r3_ferr[0]),&(r3_adcerr[0])); TF1* flat_g1_csmb = new TF1("flat_g1_csmb","0",rangemin2, rangemax2); TF1* flat_g2_csmb = new TF1("flat_g2_csmb","0",rangemin3, rangemax3); grap1_norm_csmb->SetMarkerColor(kGreen+2); grap1_norm_csmb->SetLineColor(kGreen+2); flat_g1_csmb->SetLineColor(kGreen+2); grap1_norm_csmb->GetXaxis()->SetTitle("Integration time [#mus]"); grap1_norm_csmb->GetYaxis()->SetTitle("Normalised ADC [ADU]"); grap1_norm_csmb->GetYaxis()->SetTitleOffset(0.9); grap1_norm_csmb->SetMinimum(-100); grap1_norm_csmb->SetMaximum(100); grap1_norm_csmb->Draw("AP"); flat_g1_csmb->Draw("same"); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d_g1norm_csmb.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); grap2_norm_csmb->SetMarkerColor(kRed); grap2_norm_csmb->SetLineColor(kRed); flat_g2_csmb->SetLineColor(kRed); grap2_norm_csmb->GetXaxis()->SetTitle("Integration time [#mus]"); grap2_norm_csmb->GetYaxis()->SetTitle("Normalised ADC [ADU]"); grap2_norm_csmb->GetYaxis()->SetTitleOffset(0.9); grap2_norm_csmb->SetMinimum(-100); grap2_norm_csmb->SetMaximum(100); grap2_norm_csmb->Draw("AP"); flat_g2_csmb->Draw("same"); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d_g2norm_csmb.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); // b mapcanvas->SetLeftMargin(0.13); mapcanvas->SetRightMargin(0.05); grap_g1_b->SetMarkerStyle(20); grap_g2_b->SetMarkerStyle(20); grap_g1_b->SetMarkerColor(kGreen+2); grap_g2_b->SetMarkerColor(kRed); grap_g1_b->SetLineColor(kGreen+2); grap_g2_b->SetLineColor(kRed); TF1 *fit2_e_b = new TF1("fit2_e_b","[0]+[1]*x",0.009,1.1E3); TF1 *fit3_e_b = new TF1("fit3_e_b","[0]+[1]*x",0.009,1.1E3); fit2_e_b->SetParameters(fit2_b->GetParameter(0),fit2_b->GetParameter(1)); fit2_e_b->SetLineColor(kGreen+2); fit2_e_b->SetLineStyle(2); fit3_e_b->SetParameters(fit3_b->GetParameter(0),fit3_b->GetParameter(1)); fit3_e_b->SetLineColor(kRed); fit3_e_b->SetLineStyle(2); grap_g1_b->GetXaxis()->SetLimits(0.05,5.1E1); grap_g1_b->SetMinimum(0); grap_g1_b->SetMaximum(20000); grap_g1_b->GetXaxis()->SetTitle("Integration time [#mus]"); grap_g1_b->GetYaxis()->SetTitle("ADC [ADU]"); grap_g1_b->GetYaxis()->SetTitleOffset(0.9); grap_g1_b->Draw("AP"); fit2_b->Draw("same"); mapcanvas->Update(); st0 = (TPaveStats*)grap_g1_b->FindObject("stats"); st0->SetX1NDC(0.2); st0->SetX2NDC(0.54); st0->SetY1NDC(0.71); st0->SetY2NDC(0.90); st0->SetBorderSize(0); st0->SetTextColor(kGreen+2); grap_g2_b->Draw("P"); fit3_b->Draw("same"); mapcanvas->Update(); st1 = (TPaveStats*)grap_g2_b->FindObject("stats"); st1->SetX1NDC(0.6); st1->SetX2NDC(0.94); st1->SetY1NDC(0.71); st1->SetY2NDC(0.90); st1->SetBorderSize(0); st1->SetTextColor(kRed); fit2_e_b->Draw("same"); fit3_e_b->Draw("same"); mapcanvas->SetLogx(); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d_b.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); mapcanvas->SetLogx(0); // normalise vector r1_adc_norm_b; vector r3_adc_norm_b; for (size_t j = 0; j < r1_adc_b.size(); j++) { r1_adc_norm_b.push_back(r1_adc_b[j] - fit2_b->Eval(r1_filter[j])); } for (size_t j = 0; j < r3_adc_b.size(); j++) { r3_adc_norm_b.push_back(r3_adc_b[j] - fit3_b->Eval(r3_filter[j])); } TGraphErrors *grap1_norm_b = new TGraphErrors(r1_adc_b.size(),&(r1_filter[0]),&(r1_adc_norm_b[0]),&(r1_ferr[0]),&(r1_adcerr[0])); TGraphErrors *grap2_norm_b = new TGraphErrors(r3_adc_b.size(),&(r3_filter[0]),&(r3_adc_norm_b[0]),&(r3_ferr[0]),&(r3_adcerr[0])); TF1* flat_g1_b = new TF1("flat_g1_b","0",rangemin2, rangemax2); TF1* flat_g2_b = new TF1("flat_g2_b","0",rangemin3, rangemax3); grap1_norm_b->SetMarkerColor(kGreen+2); grap1_norm_b->SetLineColor(kGreen+2); flat_g1_b->SetLineColor(kGreen+2); grap1_norm_b->GetXaxis()->SetTitle("Integration time [#mus]"); grap1_norm_b->GetYaxis()->SetTitle("Normalised ADC [ADU]"); grap1_norm_b->GetYaxis()->SetTitleOffset(0.9); grap1_norm_b->SetMinimum(-100); grap1_norm_b->SetMaximum(100); grap1_norm_b->Draw("AP"); flat_g1_b->Draw("same"); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d_g1norm_b.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); grap2_norm_b->SetMarkerColor(kRed); grap2_norm_b->SetLineColor(kRed); flat_g2_b->SetLineColor(kRed); grap2_norm_b->GetXaxis()->SetTitle("Integration time [#mus]"); grap2_norm_b->GetYaxis()->SetTitle("Normalised ADC [ADU]"); grap2_norm_b->GetYaxis()->SetTitleOffset(0.9); grap2_norm_b->SetMinimum(-100); grap2_norm_b->SetMaximum(100); grap2_norm_b->Draw("AP"); flat_g2_b->Draw("same"); sprintf(savename,"plots/M%s/CS_BaselineTest/pixel_%s_%d_g2norm_b.png", module_str.c_str(), pixel_type.c_str(), i); mapcanvas->SaveAs((const char *)(savename)); mapcanvas->SetLeftMargin(0.1); mapcanvas->SetRightMargin(0.13); delete fit2_e_csmb; delete fit3_e_csmb; delete grap1_norm_csmb; delete grap2_norm_csmb; } delete grap_g1; delete grap_g2; delete fit2; delete fit3; delete grap_g1_csmb; delete grap_g2_csmb; delete fit2_csmb; delete fit3_csmb; } } } c1->cd(); TPaveText *pave = new TPaveText(0.86,0.95,0.91,0.98,"blNDC"); pave->SetBorderSize(0); pave->SetFillStyle(0); pave->SetTextSize(0.06); pave->SetTextAlign(32); g1hist->GetXaxis()->SetTitle("G1 gradient"); g1hist->GetXaxis()->SetTitleOffset(1.1); g1hist->GetYaxis()->SetTitleOffset(1.5); g1hist->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1hist.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g2hist->GetXaxis()->SetTitle("G2 gradient"); g2hist->GetXaxis()->SetTitleOffset(1.1); g2hist->GetYaxis()->SetTitleOffset(1.5); g2hist->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g2hist.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g1overg2hist->GetXaxis()->SetTitle("G1 / G2"); g1overg2hist->GetXaxis()->SetTitleOffset(1.1); g1overg2hist->GetYaxis()->SetTitleOffset(1.5); g1overg2hist->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1overg2hist.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g1overg2hist->Fit("gaus"); sprintf(savename,"plots/M%s/CS_BaselineTest/g1overg2hist_fit.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g1overg2erhist->GetXaxis()->SetTitle("G1 / G2 uncert"); g1overg2erhist->GetXaxis()->SetTitleOffset(1.1); g1overg2erhist->GetYaxis()->SetTitleOffset(1.5); g1overg2erhist->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1overg2erhist.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g1erhist->GetXaxis()->SetTitle("Fitted G1 uncert"); g1erhist->GetXaxis()->SetTitleOffset(1.1); g1erhist->GetYaxis()->SetTitleOffset(1.5); g1erhist->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1erhist.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g2erhist->GetXaxis()->SetTitle("Fitted G2 uncert"); g2erhist->GetXaxis()->SetTitleOffset(1.1); g2erhist->GetYaxis()->SetTitleOffset(1.5); g2erhist->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g2erhist.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g1hist_csmb->GetXaxis()->SetTitle("G1 gradient"); g1hist_csmb->GetXaxis()->SetTitleOffset(1.1); g1hist_csmb->GetYaxis()->SetTitleOffset(1.5); g1hist_csmb->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1hist_csmb.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g2hist_csmb->GetXaxis()->SetTitle("G2 gradient"); g2hist_csmb->GetXaxis()->SetTitleOffset(1.1); g2hist_csmb->GetYaxis()->SetTitleOffset(1.5); g2hist_csmb->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g2hist_csmb.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g1hist_b->GetXaxis()->SetTitle("G1 gradient"); g1hist_b->GetXaxis()->SetTitleOffset(1.1); g1hist_b->GetYaxis()->SetTitleOffset(1.5); g1hist_b->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1hist_b.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g2hist_b->GetXaxis()->SetTitle("G2 gradient"); g2hist_b->GetXaxis()->SetTitleOffset(1.1); g2hist_b->GetYaxis()->SetTitleOffset(1.5); g2hist_b->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g2hist_b.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g1overg2hist_csmb->GetXaxis()->SetTitle("G1 / G2"); g1overg2hist_csmb->GetXaxis()->SetTitleOffset(1.1); g1overg2hist_csmb->GetYaxis()->SetTitleOffset(1.5); g1overg2hist_csmb->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1overg2hist_csmb.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); g1overg2hist_csmb->Fit("gaus"); sprintf(savename,"plots/M%s/CS_BaselineTest/g1overg2hist_fit_csmb.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); cs_csmb_diffhist->GetXaxis()->SetTitle("G1/G2 diff"); cs_csmb_diffhist->GetXaxis()->SetTitleOffset(1.1); cs_csmb_diffhist->GetYaxis()->SetTitleOffset(1.5); cs_csmb_diffhist->Draw(); cs_csmb_diffhist->Fit("gaus"); sprintf(savename,"plots/M%s/CS_BaselineTest/cs_csmb_diffhist.png", module_str.c_str()); c1->SaveAs((const char *)(savename)); mapcanvas->cd(); g1map->GetXaxis()->SetTitle("Column"); g1map->GetYaxis()->SetTitle("Row"); g1map->GetYaxis()->SetTitleOffset(0.7); g1map->GetZaxis()->SetRangeUser(-3000,0); g1map->Draw("colz"); pave->AddText("G1 [ADU/#mus]"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1map.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g2map->GetXaxis()->SetTitle("Column"); g2map->GetYaxis()->SetTitle("Row"); g2map->GetYaxis()->SetTitleOffset(0.7); g2map->GetZaxis()->SetRangeUser(-200,-50); g2map->Draw("colz"); pave->Clear(); pave->AddText("G2 [ADU/#mus]"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g2map.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g1overg2map->GetXaxis()->SetTitle("Column"); g1overg2map->GetYaxis()->SetTitle("Row"); g1overg2map->GetYaxis()->SetTitleOffset(0.7); g1overg2map->GetZaxis()->SetRangeUser(11,15); g1overg2map->Draw("colz"); pave->Clear(); pave->AddText("G1/G2"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1overg2map.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g1overg2ermap->GetXaxis()->SetTitle("Column"); g1overg2ermap->GetYaxis()->SetTitle("Row"); g1overg2ermap->GetYaxis()->SetTitleOffset(0.7); g1overg2ermap->GetZaxis()->SetRangeUser(0,0.5); g1overg2ermap->Draw("colz"); pave->Clear(); pave->AddText("#sigma_{G1/G2}"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1overg2ermap.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g1ermap->GetXaxis()->SetTitle("Column"); g1ermap->GetYaxis()->SetTitle("Row"); g1ermap->GetYaxis()->SetTitleOffset(0.7); g1ermap->Draw("colz"); pave->Clear(); pave->AddText("#sigma_{G1}"); pave->Draw(); g1ermap->GetZaxis()->SetRangeUser(0,50); sprintf(savename,"plots/M%s/CS_BaselineTest/g1ermap.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g2ermap->GetXaxis()->SetTitle("Column"); g2ermap->GetYaxis()->SetTitle("Row"); g2ermap->GetYaxis()->SetTitleOffset(0.7); g2ermap->Draw("colz"); pave->Clear(); pave->AddText("#sigma_{G2}"); pave->Draw(); g2ermap->GetZaxis()->SetRangeUser(0,5); sprintf(savename,"plots/M%s/CS_BaselineTest/g2ermap.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g1map_csmb->GetXaxis()->SetTitle("Column"); g1map_csmb->GetYaxis()->SetTitle("Row"); g1map_csmb->GetYaxis()->SetTitleOffset(0.7); g1map_csmb->GetZaxis()->SetRangeUser(0,3000); g1map_csmb->Draw("colz"); pave->Clear(); pave->AddText("G1 [ADU/#mus]"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1map_csmb.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g2map_csmb->GetXaxis()->SetTitle("Column"); g2map_csmb->GetYaxis()->SetTitle("Row"); g2map_csmb->GetYaxis()->SetTitleOffset(0.7); g2map_csmb->GetZaxis()->SetRangeUser(50,200); g2map_csmb->Draw("colz"); pave->Clear(); pave->AddText("G2 [ADU/#mus]"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g2map_csmb.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g1map_b->GetXaxis()->SetTitle("Column"); g1map_b->GetYaxis()->SetTitle("Row"); g1map_b->GetYaxis()->SetTitleOffset(0.7); g1map_b->GetZaxis()->SetRangeUser(-15,15); g1map_b->Draw("colz"); pave->Clear(); pave->AddText("G1 [ADU/#mus]"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1map_b.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g2map_b->GetXaxis()->SetTitle("Column"); g2map_b->GetYaxis()->SetTitle("Row"); g2map_b->GetYaxis()->SetTitleOffset(0.7); g2map_b->GetZaxis()->SetRangeUser(-5,5); g2map_b->Draw("colz"); pave->Clear(); pave->AddText("G2 [ADU/#mus]"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g2map_b.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); g1overg2map_csmb->GetXaxis()->SetTitle("Column"); g1overg2map_csmb->GetYaxis()->SetTitle("Row"); g1overg2map_csmb->GetYaxis()->SetTitleOffset(0.7); g1overg2map_csmb->GetZaxis()->SetRangeUser(11,15); g1overg2map_csmb->Draw("colz"); pave->Clear(); pave->AddText("G1/G2"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/g1overg2map_csmb.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); cs_csmb_diffmap->GetXaxis()->SetTitle("Column"); cs_csmb_diffmap->GetYaxis()->SetTitle("Row"); cs_csmb_diffmap->GetYaxis()->SetTitleOffset(0.7); cs_csmb_diffmap->GetZaxis()->SetRangeUser(-0.5,0.5); cs_csmb_diffmap->Draw("colz"); pave->Clear(); pave->AddText("G1/G2 diff"); pave->Draw(); sprintf(savename,"plots/M%s/CS_BaselineTest/cs_csmb_diffmap.png", module_str.c_str()); mapcanvas->SaveAs((const char *)(savename)); }