743 lines
26 KiB
C++
743 lines
26 KiB
C++
// file to take current source scan files, analyse and plot them.
|
|
|
|
#include "/afs/psi.ch/project/mythen/sophie/sls_detector_calibration/jungfrauCommonHeader.h"
|
|
#include "/afs/psi.ch/project/mythen/sophie/sls_detector_calibration/jungfrauCommonFunctions.h"
|
|
|
|
#include "/afs/psi.ch/project/mythen/sophie/sls_detector_calibration/jungfrauFile.C"
|
|
#include "/afs/psi.ch/project/mythen/sophie/sls_detector_calibration/jungfrauPedestal.C"
|
|
#include "/afs/psi.ch/project/mythen/sophie/sls_detector_calibration/jungfrauPixelMask.C"
|
|
|
|
#include "TGraph.h"
|
|
#include "TGraphErrors.h"
|
|
#include "TF1.h"
|
|
#include "TFile.h"
|
|
|
|
#include <algorithm>
|
|
#include <sstream>
|
|
|
|
int main(int argc, char* argv[]) {
|
|
jungfrauStyle();
|
|
|
|
if (argc != 4) {
|
|
cout << "Correct usage:" << endl;
|
|
cout << "arg 1: specify module number" << endl;
|
|
cout << "arg 2: specify data location" << endl;
|
|
cout << "arg 3: specify data file" << endl;
|
|
cout << "eg: ./JFMC_CurrentSourceScan 006 ..." << endl;
|
|
cout << " " << endl;
|
|
exit(1);
|
|
}
|
|
|
|
string module_str = argv[1];
|
|
string data_loc = argv[2];
|
|
string data_file = argv[3];
|
|
|
|
jungfrauFile *thisfile = new jungfrauFile();
|
|
char savename[128];
|
|
sprintf(savename,"%s/%s_%%6.6d.dat", data_loc.c_str(), data_file.c_str());
|
|
thisfile->open((char*)savename, 0);
|
|
|
|
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);
|
|
TH2F *adcmap_avg_g1 = new TH2F("adcmap_avg_g1","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
TH1F *adc_avg_g2 = new TH1F("adc_avg_g2","",100,0,17000);
|
|
TH2F *adcmap_avg_g2 = new TH2F("adcmap_avg_g2","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
|
|
jungfrauPedestal *pedestalObject = new jungfrauPedestal();
|
|
pedestalObject->pedestalSetNFrames(640);
|
|
|
|
jungfrauPixelMask *pixelMaskObject = new jungfrauPixelMask();
|
|
static int pixel_mask [NCH];
|
|
pixelMaskObject->initialisePixelMask(pixel_mask);
|
|
if (module_str == "032") {
|
|
pixelMaskObject->maskChip(2,pixel_mask);
|
|
pixelMaskObject->maskChip(3,pixel_mask);
|
|
pixelMaskObject->maskChip(4,pixel_mask);
|
|
} else if (module_str == "006") {
|
|
pixelMaskObject->maskChip(6, pixel_mask);
|
|
pixelMaskObject->maskSupercolumn(4,1, pixel_mask);
|
|
pixelMaskObject->maskSupercolumn(4,2, pixel_mask);
|
|
}
|
|
|
|
int frame_counter = 0;
|
|
|
|
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(),"",100,-1,4);
|
|
}
|
|
|
|
double filter[35];
|
|
for (int i = 0; i < 9; i++) {
|
|
filter[i] = 0.05+(i*0.025);
|
|
}
|
|
for (int i = 0; i < 9; i++) {
|
|
filter[i+9] = 0.5+(i*0.25);
|
|
}
|
|
for (int i = 0; i < 17; i++) {
|
|
filter[i+9+9] = 5.+(i*2.5);
|
|
}
|
|
|
|
static double adcmeans_g1[NCH][35];
|
|
static double adcmeans_g2[NCH][35];
|
|
static double adcmeanerrs_g1[NCH][35];
|
|
static double adcmeanerrs_g2[NCH][35];
|
|
|
|
float pede_ene[1];
|
|
pede_ene[0] = 0.01;
|
|
|
|
float pede_val1[NCH];
|
|
float pede_val2[NCH];
|
|
|
|
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);
|
|
|
|
TCanvas *c1 = new TCanvas("c1","");
|
|
|
|
for (int j = 0; j < 640; j++) {
|
|
frame_counter++;
|
|
thisfile->readNextFrame();
|
|
pedestalObject->addFrameToPedestalCalculation(thisfile->getFrameDataHandle());
|
|
}
|
|
cout << pedestalObject->pedestalOfChannel(0) << endl;
|
|
cout << pedestalObject->rmsOfChannel(0) << endl;
|
|
pedestalObject->pedestalClear();
|
|
|
|
for (int j = 0; j < 640; j++) {
|
|
frame_counter++;
|
|
thisfile->readNextFrame();
|
|
pedestalObject->addFrameToPedestalCalculation(thisfile->getFrameDataHandle());
|
|
}
|
|
for (int i = 0; i < NCH; i++) {
|
|
pede_val1[i] = pedestalObject->pedestalOfChannel(i);
|
|
}
|
|
cout << pedestalObject->pedestalOfChannel(0) << endl;
|
|
cout << pedestalObject->rmsOfChannel(0) << endl;
|
|
pedestalObject->pedestalClear();
|
|
|
|
for (int j = 0; j < 640; j++) {
|
|
frame_counter++;
|
|
thisfile->readNextFrame();
|
|
pedestalObject->addFrameToPedestalCalculation(thisfile->getFrameDataHandle());
|
|
}
|
|
for (int i = 0; i < NCH; i++) {
|
|
pede_val2[i] = pedestalObject->pedestalOfChannel(i);
|
|
}
|
|
cout << pedestalObject->pedestalOfChannel(0) << endl;
|
|
cout << pedestalObject->rmsOfChannel(0) << endl;
|
|
pedestalObject->pedestalClear();
|
|
|
|
int j = 0;
|
|
int f = 1;
|
|
int f_max = 0;
|
|
if (module_str == "032" || module_str == "021" || module_str == "022") {
|
|
f_max = 3;
|
|
} else if (module_str == "006" || module_str == "008") {
|
|
f_max = 4;
|
|
}
|
|
|
|
while (f < f_max) {
|
|
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] == 1) {
|
|
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] == 1) {
|
|
uint16_t adc = imagedptr[i]&0x3fff;
|
|
uint16_t gain = (imagedptr[i]&0xc000) >> 14;
|
|
|
|
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/CurrentSource/adcmap_%i_sel.png", module_str.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/CurrentSource/adcmap_%i_all.png", module_str.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/CurrentSource/gainmap_%i_sel.png", module_str.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/CurrentSource/gainmap_%i_all.png", module_str.c_str(), j-1);
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
adcmap_sel->Reset();
|
|
adcmap_all->Reset();
|
|
gainmap_sel->Reset();
|
|
gainmap_all->Reset();
|
|
}
|
|
|
|
// catch the last frame (bad ctrl-c exit)
|
|
int last_frame = 0;
|
|
if (module_str == "032" || module_str == "021" || module_str == "022") {
|
|
last_frame = 19199;
|
|
} else if (module_str == "006" || module_str == "008") {
|
|
last_frame = 24319;
|
|
}
|
|
|
|
if (j%640 == 0 || j == last_frame) {
|
|
if (j == last_frame) {
|
|
j = last_frame+1;
|
|
}
|
|
|
|
for (int i = 0; i < NCH; i++) {
|
|
if (pixel_mask[i] == 1) {
|
|
adcmeans_g1[i][j/640-1] = adc_histos_g1[i]->GetMean();
|
|
adcmeans_g2[i][j/640-1] = adc_histos_g2[i]->GetMean();
|
|
adcmeanerrs_g1[i][j/640-1] = adc_histos_g1[i]->GetMeanError();
|
|
adcmeanerrs_g2[i][j/640-1] = adc_histos_g2[i]->GetMeanError();
|
|
|
|
if (gain_histos[i]->GetEntries() > 0) {
|
|
gain_avg->Fill(gain_histos[i]->GetMean());
|
|
gainmap_avg->Fill(i%NC,i/NC,gain_histos[i]->GetMean());
|
|
}
|
|
gain_histos[i]->Reset();
|
|
if (adc_histos_g1[i]->GetEntries() > 0) {
|
|
adc_avg_g1->Fill(adc_histos_g1[i]->GetMean());
|
|
adcmap_avg_g1->Fill(i%NC,i/NC,adc_histos_g1[i]->GetMean());
|
|
}
|
|
adc_histos_g1[i]->Reset();
|
|
if (adc_histos_g2[i]->GetEntries() > 0) {
|
|
adc_avg_g2->Fill(adc_histos_g2[i]->GetMean());
|
|
adcmap_avg_g2->Fill(i%NC,i/NC,adc_histos_g2[i]->GetMean());
|
|
}
|
|
adc_histos_g2[i]->Reset();
|
|
}
|
|
}
|
|
c1->cd();
|
|
gain_avg->GetXaxis()->SetTitle("Average gain");
|
|
gain_avg->GetYaxis()->SetTitle("Pixels");
|
|
gain_avg->GetXaxis()->SetTitleOffset(1.1);
|
|
gain_avg->GetYaxis()->SetTitleOffset(1.5);
|
|
gain_avg->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/perStep/gain_avg_%i.png", module_str.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/CurrentSource/perStep/gainmap_avg_%i.png", module_str.c_str(), j/640);
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
c1->cd();
|
|
adc_avg_g1->GetXaxis()->SetTitle("Average G1 ADC");
|
|
adc_avg_g1->GetYaxis()->SetTitle("Pixels");
|
|
adc_avg_g1->GetXaxis()->SetTitleOffset(1.1);
|
|
adc_avg_g1->GetYaxis()->SetTitleOffset(1.5);
|
|
adc_avg_g1->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/perStep/adc_avg_g1_%i.png", module_str.c_str(), j/640);
|
|
c1->SaveAs((const char *)(savename));
|
|
mapcanvas->cd();
|
|
adcmap_avg_g1->GetXaxis()->SetTitle("Column");
|
|
adcmap_avg_g1->GetYaxis()->SetTitle("Row");
|
|
adcmap_avg_g1->GetYaxis()->SetTitleOffset(0.7);
|
|
adcmap_avg_g1->Draw("colz");
|
|
mapcanvas->Update();
|
|
sprintf(savename,"plots/M%s/CurrentSource/perStep/adcmap_avg_g1_%i.png", module_str.c_str(), j/640);
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
c1->cd();
|
|
adc_avg_g2->GetXaxis()->SetTitle("Average G2 ADC");
|
|
adc_avg_g2->GetYaxis()->SetTitle("Pixels");
|
|
adc_avg_g2->GetXaxis()->SetTitleOffset(1.1);
|
|
adc_avg_g2->GetYaxis()->SetTitleOffset(1.5);
|
|
adc_avg_g2->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/perStep/adc_avg_g2_%i.png", module_str.c_str(), j/640);
|
|
c1->SaveAs((const char *)(savename));
|
|
mapcanvas->cd();
|
|
adcmap_avg_g2->GetXaxis()->SetTitle("Column");
|
|
adcmap_avg_g2->GetYaxis()->SetTitle("Row");
|
|
adcmap_avg_g2->GetYaxis()->SetTitleOffset(0.7);
|
|
adcmap_avg_g2->Draw("colz");
|
|
sprintf(savename,"plots/M%s/CurrentSource/perStep/adcmap_avg_g2_%i.png", module_str.c_str(), j/640);
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
gain_avg->Reset();
|
|
gainmap_avg->Reset();
|
|
adc_avg_g1->Reset();
|
|
adcmap_avg_g1->Reset();
|
|
adc_avg_g2->Reset();
|
|
adcmap_avg_g2->Reset();
|
|
}
|
|
|
|
} // end of while
|
|
|
|
thisfile->close();
|
|
sprintf(savename,"%s/%s_%%6.6d.dat", data_loc.c_str(), data_file.c_str());
|
|
thisfile->open((char*)savename, f);
|
|
f++;
|
|
|
|
} // end of file while
|
|
thisfile->close();
|
|
|
|
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;
|
|
|
|
TH1F *g1_avg;
|
|
if (module_str == "032") {
|
|
g1_avg = new TH1F("g1_avg","",100,-12000,-4000);
|
|
} else if (module_str == "022" || module_str == "021" || module_str == "006" || module_str == "008") {
|
|
g1_avg = new TH1F("g1_avg","",100,-3000,0);
|
|
}
|
|
TH1F *g2_avg;
|
|
if (module_str == "032") {
|
|
g2_avg = new TH1F("g2_avg","",100,-1000,-200);
|
|
} else if (module_str == "022" || module_str == "021" || module_str == "006" || module_str == "008") {
|
|
g2_avg = new TH1F("g2_avg","",100,-300,0);
|
|
}
|
|
|
|
TH2F *g1map_avg = new TH2F("g1map_avg","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
TH2F *g2map_avg = new TH2F("g2map_avg","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
|
|
TH1F *g1overg2 = new TH1F("g1overg2","",100,10,15);
|
|
TH1F *g1overg2er = new TH1F("g1overg2er","",100,0,2);
|
|
|
|
TH2F *g1overg2_map = new TH2F("g1overg2_map","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
TH2F *g1overg2er_map = new TH2F("g1overg2er_map","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
|
|
TH1F *g1_fit_er = new TH1F("g1_fit_er","",100,0,50);
|
|
TH1F *g2_fit_er = new TH1F("g2_fit_er","",100,0,10);
|
|
|
|
TH2F *g1map_fit_er = new TH2F("g1map_fit_er","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
TH2F *g2map_fit_er = new TH2F("g2map_fit_er","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
|
|
TH1F *diffFromLinG1 = new TH1F("diffFromLinG1","",100,-0.05,0.05);
|
|
TH1F *diffFromLinG2 = new TH1F("diffFromLinG2","",100,-0.5,0.5);
|
|
|
|
TH2F *diffFromLinG1map = new TH2F("diffFromLinG1map","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
TH2F *diffFromLinG2map = new TH2F("diffFromLinG2map","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
|
|
|
|
for (int i = 0; i < NCH; i++) {
|
|
if (pixel_mask[i] == 1) {
|
|
vector<double> r0_adc;
|
|
vector<double> r0_filter;
|
|
vector<double> r0_adcerr;
|
|
vector<double> r0_ferr;
|
|
|
|
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;
|
|
|
|
// filter out points at zero
|
|
int m_max = 0;
|
|
if (module_str == "032" || module_str == "021" || module_str == "022") {
|
|
m_max = 27;
|
|
} else if (module_str == "006" || module_str == "008") {
|
|
m_max = 35;
|
|
}
|
|
|
|
for (int m = 0; m < m_max; m++) {
|
|
if (adcmeans_g1[i][m] != 0) {
|
|
r1_adc.push_back(adcmeans_g1[i][m]);
|
|
r1_filter.push_back(filter[m]);
|
|
r1_adcerr.push_back(adcmeanerrs_g1[i][m]);
|
|
r1_ferr.push_back(0.);
|
|
}
|
|
if (adcmeans_g2[i][m] != 0) {
|
|
r3_adc.push_back(adcmeans_g2[i][m]);
|
|
r3_filter.push_back(filter[m]);
|
|
r3_adcerr.push_back(adcmeanerrs_g2[i][m]);
|
|
r3_ferr.push_back(0.);
|
|
}
|
|
}
|
|
|
|
float this_pede_val1[1] = {pede_val1[i]};
|
|
float this_pede_val2[1] = {pede_val2[i]};
|
|
|
|
TGraph *grap_p1 = new TGraph(1,pede_ene,this_pede_val1);
|
|
TGraph *grap_p2 = new TGraph(1,pede_ene,this_pede_val2);
|
|
|
|
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]));
|
|
|
|
TF1 *fit2;
|
|
TF1 *fit3;
|
|
|
|
if (r1_adc.size() > 1) {
|
|
double rangemin2 = 0;
|
|
double rangemax2 = 0;
|
|
if (module_str == "032") {
|
|
rangemin2 = 0.75;
|
|
rangemax2 = *max_element(r1_filter.begin(),r1_filter.end());
|
|
} else if (module_str == "022" || module_str == "021" || module_str == "006" || module_str == "008") {
|
|
rangemin2 = 0.075;
|
|
rangemax2 = 2.5;
|
|
}
|
|
fit2 = new TF1("fit2","[0]+[1]*x",rangemin2,rangemax2);
|
|
fit2->SetParameter(0, 10000.);
|
|
fit2->SetParameter(1, -0.1);
|
|
fit2->SetLineColor(kGreen+2);
|
|
grap_g1->Fit(fit2,"QR","");
|
|
|
|
g1_avg->Fill(fit2->GetParameter(1));
|
|
g1map_avg->Fill(i%NC,i/NC,fit2->GetParameter(1));
|
|
g1_fit_er->Fill(fit2->GetParError(1));
|
|
g1map_fit_er->Fill(i%NC,i/NC,fit2->GetParError(1));
|
|
|
|
double g1residsum = 0.;
|
|
double g1residn = 0.;
|
|
for (size_t it = 0; it < r1_adc.size(); it++) {
|
|
if (r1_filter[it] >= rangemin2) {
|
|
diffFromLinG1->Fill((r1_adc[it] - fit2->Eval(r1_filter[it])) / r1_adc[it]);
|
|
g1residsum = g1residsum + ((r1_adc[it] - fit2->Eval(r1_filter[it])) / r1_adc[it]);
|
|
g1residn = g1residn + 1.;
|
|
}
|
|
}
|
|
diffFromLinG1map->Fill(i%NC,i/NC,g1residsum/g1residn);
|
|
}
|
|
|
|
if (r3_adc.size() > 1) {
|
|
double rangemin3 = 0;
|
|
double rangemax3 = 0;
|
|
if (module_str == "032" || module_str == "022" || module_str == "021") {
|
|
rangemin3 = 5;
|
|
rangemax3 = *max_element(r3_filter.begin(),r3_filter.end());
|
|
} else if (module_str == "006" || module_str == "008") {
|
|
rangemin3 = 7.5;
|
|
rangemax3 = *max_element(r3_filter.begin(),r3_filter.end());
|
|
}
|
|
fit3 = new TF1("fit3","[0]+[1]*x",rangemin3, rangemax3);
|
|
fit3->SetParameter(0, 10000.);
|
|
fit3->SetParameter(1, -0.01);
|
|
fit3->SetLineColor(kRed);
|
|
grap_g2->Fit(fit3,"QR+","");
|
|
|
|
g2_avg->Fill(fit3->GetParameter(1));
|
|
g2map_avg->Fill(i%NC,i/NC,fit3->GetParameter(1));
|
|
g2_fit_er->Fill(fit3->GetParError(1));
|
|
g2map_fit_er->Fill(i%NC,i/NC,fit3->GetParError(1));
|
|
|
|
double g2residsum = 0.;
|
|
double g2residn = 0.;
|
|
for (size_t it = 0; it < r3_adc.size(); it++) {
|
|
diffFromLinG2->Fill((r3_adc[it] - fit3->Eval(r3_filter[it])) / r3_adc[it]);
|
|
g2residsum = g2residsum + ((r3_adc[it] - fit3->Eval(r3_filter[it])) / r3_adc[it]);
|
|
g2residn = g2residn + 1.;
|
|
}
|
|
diffFromLinG2map->Fill(i%NC,i/NC,g2residsum/g2residn);
|
|
}
|
|
|
|
if (r1_adc.size() > 1 && r3_adc.size() > 1) {
|
|
g1overg2->Fill(fit2->GetParameter(1) / fit3->GetParameter(1));
|
|
g1overg2er->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)));
|
|
g1overg2_map->Fill(i%NC,i/NC,fit2->GetParameter(1) / fit3->GetParameter(1));
|
|
g1overg2er_map->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)));
|
|
}
|
|
|
|
if (i > 100000 && i < 100010) {
|
|
c1->cd();
|
|
grap_p1->SetMarkerColor(kGreen+2);
|
|
grap_p2->SetMarkerColor(kRed);
|
|
grap_p1->SetMarkerStyle(20);
|
|
grap_p2->SetMarkerStyle(20);
|
|
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);
|
|
grap_g1->SetMinimum(0);
|
|
grap_g1->SetMaximum(16000);
|
|
grap_g2->SetMinimum(0);
|
|
grap_g2->SetMaximum(16000);
|
|
grap_g1->GetXaxis()->SetTitle("Integration time [#mus]");
|
|
grap_g1->GetYaxis()->SetTitle("ADC");
|
|
grap_g1->GetXaxis()->SetTitleOffset(1.1);
|
|
grap_g1->GetYaxis()->SetTitleOffset(1.5);
|
|
grap_g2->GetXaxis()->SetTitle("Integration time [#mus]");
|
|
grap_g2->GetYaxis()->SetTitle("ADC");
|
|
grap_g2->GetXaxis()->SetTitleOffset(1.1);
|
|
grap_g2->GetYaxis()->SetTitleOffset(1.5);
|
|
|
|
TF1 *fit2_e;
|
|
TF1 *fit3_e;
|
|
|
|
if (r1_adc.size() > 1) {
|
|
fit2_e = new TF1("fit2_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);
|
|
grap_g1->Draw("AP");
|
|
grap_p1->Draw("P");
|
|
fit2_e->Draw("same");
|
|
sprintf(savename,"plots/M%s/CurrentSource/pixel%i_g1.png", module_str.c_str(), i);
|
|
c1->SaveAs((const char *)(savename));
|
|
}
|
|
if (r3_adc.size() > 1) {
|
|
fit3_e = new TF1("fit3_e","[0]+[1]*x",0.009,1.1E3);
|
|
fit3_e->SetParameters(fit3->GetParameter(0),fit3->GetParameter(1));
|
|
fit3_e->SetLineColor(kRed);
|
|
fit3_e->SetLineStyle(2);
|
|
grap_g2->GetXaxis()->SetLimits(0,50);
|
|
grap_g2->Draw("AP");
|
|
grap_p2->Draw("P");
|
|
fit3_e->Draw("same");
|
|
sprintf(savename,"plots/M%s/CurrentSource/pixel%i_g2.png", module_str.c_str(), i);
|
|
c1->SaveAs((const char *)(savename));
|
|
}
|
|
|
|
grap_g1->Draw("AP");
|
|
grap_g1->GetXaxis()->SetLimits(0.009,1.1E2);
|
|
|
|
fit2_e->Draw("same");
|
|
if (r3_adc.size() > 1) {
|
|
grap_g2->Draw("P");
|
|
fit3_e->Draw("same");
|
|
}
|
|
grap_p1->Draw("P");
|
|
grap_p2->Draw("P");
|
|
c1->SetLogx();
|
|
sprintf(savename,"plots/M%s/CurrentSource/pixel%i.png", module_str.c_str(), i);
|
|
c1->SaveAs((const char *)(savename));
|
|
c1->SetLogx(0);
|
|
}
|
|
|
|
delete grap_g1;
|
|
delete grap_g2;
|
|
if (r1_adc.size() > 1) {
|
|
delete fit2;
|
|
}
|
|
if (r3_adc.size() > 1) {
|
|
delete fit3;
|
|
}
|
|
}
|
|
}
|
|
|
|
c1->cd();
|
|
|
|
g1_avg->GetXaxis()->SetTitle("G1 gradient");
|
|
g1_avg->GetYaxis()->SetTitle("Pixels");
|
|
g1_avg->GetXaxis()->SetTitleOffset(1.1);
|
|
g1_avg->GetYaxis()->SetTitleOffset(1.5);
|
|
g1_avg->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1_avg.png", module_str.c_str());
|
|
c1->SaveAs((const char *)(savename));
|
|
|
|
g2_avg->GetXaxis()->SetTitle("G2 gradient");
|
|
g2_avg->GetYaxis()->SetTitle("Pixels");
|
|
g2_avg->GetXaxis()->SetTitleOffset(1.1);
|
|
g2_avg->GetYaxis()->SetTitleOffset(1.5);
|
|
g2_avg->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g2_avg.png", module_str.c_str());
|
|
c1->SaveAs((const char *)(savename));
|
|
|
|
g1overg2->GetXaxis()->SetTitle("G1/G2 gradient");
|
|
g1overg2->GetYaxis()->SetTitle("Pixels");
|
|
g1overg2->GetXaxis()->SetTitleOffset(1.1);
|
|
g1overg2->GetYaxis()->SetTitleOffset(1.5);
|
|
g1overg2->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1overg2.png", module_str.c_str());
|
|
c1->SaveAs((const char *)(savename));
|
|
|
|
g1overg2er->GetXaxis()->SetTitle("G1/G2 uncertainty");
|
|
g1overg2er->GetYaxis()->SetTitle("Pixels");
|
|
g1overg2er->GetXaxis()->SetTitleOffset(1.1);
|
|
g1overg2er->GetYaxis()->SetTitleOffset(1.5);
|
|
g1overg2er->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1overg2er.png", module_str.c_str());
|
|
c1->SaveAs((const char *)(savename));
|
|
|
|
g1_fit_er->GetXaxis()->SetTitle("Fitted G1 uncert");
|
|
g1_fit_er->GetYaxis()->SetTitle("Pixels");
|
|
g1_fit_er->GetXaxis()->SetTitleOffset(1.1);
|
|
g1_fit_er->GetYaxis()->SetTitleOffset(1.5);
|
|
g1_fit_er->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1er.png", module_str.c_str());
|
|
c1->SaveAs((const char *)(savename));
|
|
|
|
g2_fit_er->GetXaxis()->SetTitle("Fitted G2 uncert");
|
|
g2_fit_er->GetYaxis()->SetTitle("Pixels");
|
|
g2_fit_er->GetXaxis()->SetTitleOffset(1.1);
|
|
g2_fit_er->GetYaxis()->SetTitleOffset(1.5);
|
|
g2_fit_er->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g2er.png", module_str.c_str());
|
|
c1->SaveAs((const char *)(savename));
|
|
|
|
diffFromLinG1->GetXaxis()->SetTitle("Normalised residual G1");
|
|
diffFromLinG1->GetYaxis()->SetTitle("");
|
|
diffFromLinG1->GetXaxis()->SetTitleOffset(1.1);
|
|
diffFromLinG1->GetYaxis()->SetTitleOffset(1.5);
|
|
diffFromLinG1->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_diffFromLinG1.png", module_str.c_str());
|
|
c1->SaveAs((const char *)(savename));
|
|
|
|
diffFromLinG2->GetXaxis()->SetTitle("Normalised residual G2");
|
|
diffFromLinG2->GetYaxis()->SetTitle("");
|
|
diffFromLinG2->GetXaxis()->SetTitleOffset(1.1);
|
|
diffFromLinG2->GetYaxis()->SetTitleOffset(1.5);
|
|
diffFromLinG2->Draw();
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_diffFromLinG2.png", module_str.c_str());
|
|
c1->SaveAs((const char *)(savename));
|
|
|
|
cout << "G1 underflow " << diffFromLinG1->GetBinContent(0) << endl;
|
|
cout << "G2 underflow " << diffFromLinG2->GetBinContent(0) << endl;
|
|
cout << "G1 overflow " << diffFromLinG1->GetBinContent(101) << endl;
|
|
cout << "G2 overflow " << diffFromLinG2->GetBinContent(101) << endl;
|
|
|
|
mapcanvas->cd();
|
|
|
|
g1map_avg->GetXaxis()->SetTitle("Column");
|
|
g1map_avg->GetYaxis()->SetTitle("Row");
|
|
g1map_avg->GetYaxis()->SetTitleOffset(0.7);
|
|
if (module_str == "032") {
|
|
g1map_avg->GetZaxis()->SetRangeUser(-12000,-4000);
|
|
} else if (module_str == "022" || module_str == "021" || module_str == "006" || module_str == "008") {
|
|
g1map_avg->GetZaxis()->SetRangeUser(-3000,0);
|
|
}
|
|
g1map_avg->Draw("colz");
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1map_avg.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
g2map_avg->GetXaxis()->SetTitle("Column");
|
|
g2map_avg->GetYaxis()->SetTitle("Row");
|
|
g2map_avg->GetYaxis()->SetTitleOffset(0.7);
|
|
if (module_str == "032") {
|
|
g2map_avg->GetZaxis()->SetRangeUser(-800,-400);
|
|
} else if (module_str == "022" || module_str == "021" || module_str == "006" || module_str == "008") {
|
|
g2map_avg->GetZaxis()->SetRangeUser(-300,0);
|
|
}
|
|
g2map_avg->Draw("colz");
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g2map_avg.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
g1overg2_map->GetXaxis()->SetTitle("Column");
|
|
g1overg2_map->GetYaxis()->SetTitle("Row");
|
|
g1overg2_map->GetYaxis()->SetTitleOffset(0.7);
|
|
g1overg2_map->GetZaxis()->SetRangeUser(10,15);
|
|
g1overg2_map->Draw("colz");
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1overg2_map.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
g1overg2_map->GetXaxis()->SetRangeUser(0,256);
|
|
g1overg2_map->GetYaxis()->SetRangeUser(240,280);
|
|
g1overg2_map->Draw("colz");
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1overg2_map_zoom.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
g1overg2er_map->GetXaxis()->SetTitle("Column");
|
|
g1overg2er_map->GetYaxis()->SetTitle("Row");
|
|
g1overg2er_map->GetYaxis()->SetTitleOffset(0.7);
|
|
g1overg2er_map->GetZaxis()->SetRangeUser(0,2);
|
|
g1overg2er_map->Draw("colz");
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1overg2er_map.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
g1map_fit_er->GetXaxis()->SetTitle("Column");
|
|
g1map_fit_er->GetYaxis()->SetTitle("Row");
|
|
g1map_fit_er->GetYaxis()->SetTitleOffset(0.7);
|
|
g1map_fit_er->Draw("colz");
|
|
g1map_fit_er->GetZaxis()->SetRangeUser(0,50);
|
|
/*
|
|
if (module_str == "032") {
|
|
g1map_fit_er->GetZaxis()->SetRangeUser(0,100);
|
|
} else if (module_str == "006" || module_str == "008" || module_str == "022" || module_str == "021") {
|
|
g1map_fit_er->GetZaxis()->SetRangeUser(0,2000);
|
|
}
|
|
*/
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g1map_er.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
g2map_fit_er->GetXaxis()->SetTitle("Column");
|
|
g2map_fit_er->GetYaxis()->SetTitle("Row");
|
|
g2map_fit_er->GetYaxis()->SetTitleOffset(0.7);
|
|
g2map_fit_er->Draw("colz");
|
|
g2map_fit_er->GetZaxis()->SetRangeUser(0,10);
|
|
sprintf(savename,"plots/M%s/CurrentSource/module_g2map_er.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
diffFromLinG1map->GetXaxis()->SetTitle("Column");
|
|
diffFromLinG1map->GetYaxis()->SetTitle("Row");
|
|
diffFromLinG1map->GetYaxis()->SetTitleOffset(0.7);
|
|
diffFromLinG1map->Draw("colz");
|
|
diffFromLinG1map->GetZaxis()->SetRangeUser(-0.01,0.01);
|
|
sprintf(savename,"plots/M%s/CurrentSource/diffFromLinG1map.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
diffFromLinG2map->GetXaxis()->SetTitle("Column");
|
|
diffFromLinG2map->GetYaxis()->SetTitle("Row");
|
|
diffFromLinG2map->GetYaxis()->SetTitleOffset(0.7);
|
|
diffFromLinG2map->Draw("colz");
|
|
diffFromLinG2map->GetZaxis()->SetRangeUser(-0.1,0.1);
|
|
sprintf(savename,"plots/M%s/CurrentSource/diffFromLinG2map.png", module_str.c_str());
|
|
mapcanvas->SaveAs((const char *)(savename));
|
|
|
|
sprintf(savename,"data/M%s/CS_ratio_M%s.root", module_str.c_str(), module_str.c_str());
|
|
TFile* saved_file2 = new TFile((const char *)(savename),"RECREATE");
|
|
g1overg2_map->Write();
|
|
g1overg2er_map->Write();
|
|
saved_file2->Close();
|
|
|
|
}
|