// to extract the calibration constants of all modules from the gain maps and compare #include "../sls_detector_calibration/jungfrauCommonHeader.h" #include "../sls_detector_calibration/jungfrauCommonFunctions.h" #include #include "TH1F.h" #include "TCanvas.h" #include "TF1.h" #include "TGraphErrors.h" struct GainMaps { double g0VALs[NCH]; double g1VALs[NCH]; double g2VALs[NCH]; double hg0VALs[NCH]; }; int main(int argc, char* argv[]) { jungfrauStyle(); GainMaps *mapsObject = new GainMaps; vector modules; modules.push_back(6); modules.push_back(8); modules.push_back(21); modules.push_back(22); modules.push_back(27); modules.push_back(28); modules.push_back(32); modules.push_back(35); modules.push_back(39); modules.push_back(40); modules.push_back(44); modules.push_back(45); modules.push_back(48); modules.push_back(50); modules.push_back(55); modules.push_back(57); modules.push_back(59); modules.push_back(62); modules.push_back(64); modules.push_back(65); modules.push_back(66); modules.push_back(67); modules.push_back(68); modules.push_back(69); modules.push_back(72); modules.push_back(74); modules.push_back(76); modules.push_back(79); modules.push_back(80); modules.push_back(86); modules.push_back(88); modules.push_back(94); modules.push_back(100); modules.push_back(102); modules.push_back(103); modules.push_back(104); modules.push_back(108); modules.push_back(109); modules.push_back(110); modules.push_back(113); modules.push_back(119); modules.push_back(121); modules.push_back(124); modules.push_back(126); modules.push_back(131); modules.push_back(204); modules.push_back(205); modules.push_back(208); modules.push_back(212); modules.push_back(222); modules.push_back(226); vector modules_d; vector module_errs; vector g0_means; vector g0_rmss; vector g1_means; vector g1_rmss; vector g2_means; vector g2_rmss; vector hg0_means; vector hg0_rmss; char savename[128]; TH1F* g0hist = new TH1F("g0hist","",100,30,50); TH1F* g1hist = new TH1F("g1hist","",100,-3,0); TH1F* g2hist = new TH1F("g2hist","",100,-0.2,0); TH1F* hg0hist = new TH1F("hg0hist","",100,80,120); for (size_t j = 0; j < modules.size(); j++) { // clear gain maps for (int i = 0; i < NCH; i++) { mapsObject->g0VALs[i] = 0; mapsObject->g1VALs[i] = 0; mapsObject->g2VALs[i] = 0; mapsObject->hg0VALs[i] = 0; } // get gain maps fstream infile; sprintf(savename,"data/M%3.3d/gainMaps_M%3.3d.bin", modules[j], modules[j]); infile.open((char*)savename, ios::in | ios::binary); infile.read((char*)mapsObject->g0VALs, sizeof(mapsObject->g0VALs)); infile.read((char*)mapsObject->g1VALs, sizeof(mapsObject->g1VALs)); infile.read((char*)mapsObject->g2VALs, sizeof(mapsObject->g2VALs)); infile.read((char*)mapsObject->hg0VALs, sizeof(mapsObject->hg0VALs)); infile.close(); for (int i = 0; i < NCH; i++) { g0hist->Fill(mapsObject->g0VALs[i]); g1hist->Fill(mapsObject->g1VALs[i]); g2hist->Fill(mapsObject->g2VALs[i]); hg0hist->Fill(mapsObject->hg0VALs[i]); } modules_d.push_back(modules[j]); module_errs.push_back(0.); g0_means.push_back(g0hist->GetMean()); g0_rmss.push_back(g0hist->GetRMS()); g1_means.push_back(g1hist->GetMean()); g1_rmss.push_back(g1hist->GetRMS()); g2_means.push_back(g2hist->GetMean()); g2_rmss.push_back(g2hist->GetRMS()); hg0_means.push_back(hg0hist->GetMean()); hg0_rmss.push_back(hg0hist->GetRMS()); g0hist->Reset(); g1hist->Reset(); g2hist->Reset(); hg0hist->Reset(); } TCanvas *c1 = new TCanvas("c1","",150,10,800,400); c1->SetLeftMargin(0.12); c1->SetRightMargin(0.03); c1->SetTopMargin(0.08); c1->SetBottomMargin(0.15); TGraphErrors* grap_g0 = new TGraphErrors(modules_d.size(), &(modules_d[0]), &(g0_means[0]), &(module_errs[0]), &(g0_rmss[0])); grap_g0->SetMarkerStyle(20); grap_g0->GetXaxis()->SetTitle("Module"); grap_g0->GetYaxis()->SetTitle("Mean G0 [ADU/keV]"); grap_g0->GetYaxis()->SetTitleOffset(0.9); grap_g0->SetMinimum(38); grap_g0->SetMaximum(44); grap_g0->Draw("AP"); c1->SaveAs("plots/ModuleSummary_g0.png"); TGraphErrors* grap_g1 = new TGraphErrors(modules_d.size(), &(modules_d[0]), &(g1_means[0]), &(module_errs[0]), &(g1_rmss[0])); grap_g1->SetMarkerStyle(20); grap_g1->GetXaxis()->SetTitle("Module"); grap_g1->GetYaxis()->SetTitle("Mean G1 [ADU/keV]"); grap_g1->GetYaxis()->SetTitleOffset(0.9); grap_g1->SetMinimum(-1.6); grap_g1->SetMaximum(-1.2); grap_g1->Draw("AP"); c1->SaveAs("plots/ModuleSummary_g1.png"); TGraphErrors* grap_g2 = new TGraphErrors(modules_d.size(), &(modules_d[0]), &(g2_means[0]), &(module_errs[0]), &(g2_rmss[0])); grap_g2->SetMarkerStyle(20); grap_g2->GetXaxis()->SetTitle("Module"); grap_g2->GetYaxis()->SetTitle("Mean G2 [ADU/keV]"); grap_g2->GetYaxis()->SetTitleOffset(0.9); grap_g2->SetMinimum(-0.13); grap_g2->SetMaximum(-0.09); grap_g2->Draw("AP"); c1->SaveAs("plots/ModuleSummary_g2.png"); TGraphErrors* grap_hg0 = new TGraphErrors(modules_d.size(), &(modules_d[0]), &(hg0_means[0]), &(module_errs[0]), &(hg0_rmss[0])); grap_hg0->SetMarkerStyle(20); grap_hg0->GetXaxis()->SetTitle("Module"); grap_hg0->GetYaxis()->SetTitle("Mean HG0 [ADU/keV]"); grap_hg0->GetYaxis()->SetTitleOffset(0.9); grap_hg0->SetMinimum(94); grap_hg0->SetMaximum(106); grap_hg0->Draw("AP"); c1->SaveAs("plots/ModuleSummary_hg0.png"); }