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JFCalibration/CS_BaselineTest.cpp
redford_s 500ef26b36 Pixel mask as bool, and some repointing.
2018-05-07 16:18:27 +02:00

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// 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 <algorithm>
#include <sstream>
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<double> r1_adc;
vector<double> r1_filter;
vector<double> r1_adcerr;
vector<double> r1_ferr;
vector<double> r3_adc;
vector<double> r3_filter;
vector<double> r3_adcerr;
vector<double> r3_ferr;
// CS - baseline
vector<double> r1_adc_csmb;
vector<double> r3_adc_csmb;
// baselines
vector<double> r1_adc_b;
vector<double> 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<double> r1_adc_norm;
vector<double> 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<double> r1_adc_norm_csmb;
vector<double> 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<double> r1_adc_norm_b;
vector<double> 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));
}
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