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JFCalibration/CuFluo_analysis_sc.cpp

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// file to calculate pedestal correction of fluo data for all storage cells, only G0
// make correction and save spectrum per pixel
// then fit fluo spectrum per pixel
// and save peak position and uncertainty
// changes by VH 210906: to eliminate hardcoded absolute paths, uses location of the analysis root files as additional input argument (accordingly changed in filename_creator.sh)
#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 "../sls_detector_calibration/jungfrauPedestal.C"
#include "../sls_detector_calibration/energyCalibration.h"
#include "../sls_detector_calibration/energyCalibration.cpp"
#include "TGraph.h"
#include "TGraphErrors.h"
#include "TF1.h"
#include "TFile.h"
#include "TPaveStats.h"
#include "TLegend.h"
#include "TPaveText.h"
//#include "TObjArray.h"
#include <sys/stat.h>
#include <vector>
int main(int argc, char* argv[]) {
jungfrauStyle();
gStyle->SetOptFit(11);
/*
if (argc != 6) {
cout << "Correct usage:" << endl;
cout << "arg 1: specify module number" << endl;
cout << "arg 2: specify HG0 or G0" << endl;
cout << "arg 3: specify data location" << endl;
cout << "arg 4: specify pede file" << endl;
cout << "arg 5: specify data file" << endl;
cout << " " << endl;
exit(1);
}
*/ //uncomment for SR
if (argc != 7) {
cout << "Correct usage:" << endl;
cout << "arg 1: specify module number" << endl;
cout << "arg 2: specify HG0 or G0" << endl;
cout << "arg 3: specify data location folder" << endl;
cout << "arg 4: specify pede file prefix" << endl;
cout << "arg 5: specify data file prefix" << endl;
cout << "arg 6: specify location of analysis root files" << endl;
cout << " " << endl;
exit(1);
} //uncomment for VH 210906
string module_str = argv[1];
string gain_str = argv[2];
bool isJF11=false;
if (gain_str == "HG0JF11") {
gain_str = "HG0";
isJF11=true;
}
string data_loc = argv[3];
string pede_file = argv[4];
string data_file = argv[5];
string anadata_loc = argv[6]; //uncomment for VH 210906
bool save_to_afs = false;
int createHistoFile = 1;
//char histoname[128];
//char savename[128];
char histoname[256]; // VH 210902
char savename[256]; // VH 210902
char plotfolder[256];
char rootdatafolder[256];
int filen = 352;
int pedefilen = 5;
// create necessary directories with permissions drwxrwxr-x
// data/Mxxx
sprintf(savename,"data/M%s", module_str.c_str());
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// plots/Mxxx
sprintf(savename,"plots/M%s", module_str.c_str());
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// plots/Mxxx/CuFluo
sprintf(savename,"plots/M%s/CuFluo", module_str.c_str());
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// plots/Mxxx/CuFluo/G0
sprintf(savename,"plots/M%s/CuFluo/G0", module_str.c_str());
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// plots/Mxxx/CuFluo/HG0
sprintf(savename,"plots/M%s/CuFluo/HG0", module_str.c_str());
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// /mnt/pcmoench_jungfrau_data/jungfrau_ana_sophie/Mxxx_CalibAna
//sprintf(savename,"/mnt/sls_det_storage/jungfrau_data1/jungfrau_ana_sophie/M%s_CalibAna", module_str.c_str()); //uncomment for SR
sprintf(savename,"%s", anadata_loc.c_str()); //uncomment for VH 210906
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
if ( save_to_afs ) {
cout << "Saving to afs." << endl;
sprintf( plotfolder, "plots/M%s/CuFluo/%s", module_str.c_str(), gain_str.c_str() );
sprintf( rootdatafolder, "data/M%s", module_str.c_str() );
} else {
cout << "Not saving to afs." << endl;
// data/Mxxx
sprintf( savename,"%s/data", anadata_loc.c_str() );
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// plots/Mxxx
sprintf( savename,"%s/plots", anadata_loc.c_str() );
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// plots/Mxxx/CuFluo
sprintf( savename,"%s/plots/CuFluo", anadata_loc.c_str() );
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// plots/Mxxx/CuFluo/G0
sprintf( savename,"%s/plots/CuFluo/G0", anadata_loc.c_str() );
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
// plots/Mxxx/CuFluo/HG0
sprintf( savename,"%s/plots/CuFluo/HG0", anadata_loc.c_str() );
mkdir(savename, S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
sprintf( plotfolder, "%s/plots/CuFluo/%s", anadata_loc.c_str(), gain_str.c_str() );
sprintf( rootdatafolder, "%s/data", anadata_loc.c_str() );
}
jungfrauPixelMask *pixelMaskObject = new jungfrauPixelMask();
bool pixel_mask [NCH];
pixelMaskObject->initialisePixelMask(pixel_mask);
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","");
/*****************************************************************************************************************/
/* NOTE: Since arrays, as they were used before, tend to cause memory leaks if they grow too large on the stack, */
/* it might be smarter to realize all array objects with std::vector instead. */
/*****************************************************************************************************************/
if (createHistoFile) {
jungfrauFile *thisfile = new jungfrauFile();
vector<jungfrauPedestal*> pedestalObject_SC; //( NSC, new jungfrauPedestal() ); //should call default constructor 16 times
pedestalObject_SC.reserve(NSC);
vector< vector<uint16_t> > pedestals16_G0_start( NSC, vector<uint16_t>(NCH) ); //I suppose, this is to track pedestal shifting over the course of data taking
vector< vector<double> > pedeRMS16_G0( NSC, vector<double>(NCH) );
{ //scope to limit the following 2 vectors
vector<TH2F*> pedestalsG0;
pedestalsG0.reserve(NSC);
vector<TH2F*> pedeRMSG0;
pedeRMSG0.reserve(NSC);
for (int sci = 0; sci < NSC; ++sci) {
pedestalObject_SC.push_back( new jungfrauPedestal() );
pedestalObject_SC.at(sci)->pedestalSetNFrames(100);
Char_t *pedehistoname = new Char_t[50];
snprintf( pedehistoname, 50, "pedestalsG0_sc%d", sci );
pedestalsG0.push_back( new TH2F( pedehistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( pedehistoname, 50, "pedeRMSG0_sc%d", sci );
pedeRMSG0.push_back( new TH2F( pedehistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
}
for (int pedefilei = 0; pedefilei < pedefilen; ++pedefilei) {
// open pede file
sprintf( savename, "%s/%s_%%6.6d.dat", data_loc.c_str(), pede_file.c_str() ); //VH: note, this adds a double slash in the filepath
thisfile->open( (char*)savename, pedefilei );
//count events in file
int nevents = 0;
while ( thisfile->readNextFrame() ) {
nevents++;
}
thisfile->rewind();
cout << "read " << nevents << " events" << endl;
while ( thisfile->readNextFrame() ) {
// calculate pixel mask
pixelMaskObject->maskIfGainNot( 0, thisfile->getFrameDataHandle(), pixel_mask );
// caluclate pedestals
pedestalObject_SC.at( thisfile->currentSCnumber() )->addFrameToPedestalCalculation( thisfile->getFrameDataHandle() );
}
thisfile->close();
} // end of loops over files
for (int sci = 0; sci < NSC; ++sci) {
for (int i = 0; i < NCH; ++i) {
if (pixel_mask[i] == true) {
pedestalsG0.at(sci)->Fill( i%NC, i/NC, pedestalObject_SC[sci]->pedestalOfChannel(i) );
pedeRMSG0.at(sci)->Fill( i%NC, i/NC, pedestalObject_SC[sci]->rmsOfChannel(i) );
}
}
pedestalObject_SC.at(sci)->pedestalData((uint16_t*)(pedestals16_G0_start.at(sci).data())); //this loads the pedestal data into the array pedestals16_G0_start
pedestalObject_SC.at(sci)->pedestalRMSData(pedeRMS16_G0[sci].data()); //same here
pedestalObject_SC.at(sci)->pedestalResetUpdates();
//pedestalObject[sci]->pedestalClear(); //I don't need to clear if I only calculate pedestal once.
}
sprintf( savename, "%s/pixelmask_%s_M%s.png", plotfolder, gain_str.c_str(), module_str.c_str() );
pixelMaskObject->plotPixelMask( pixel_mask, savename );
cout << "after chip mask, n masked pixels is " << pixelMaskObject->getNMasked(pixel_mask) << endl;
mapcanvas->cd();
for (int sci = 0; sci < 16; ++sci) {
pedestalsG0[sci]->GetXaxis()->SetTitle("Column");
pedestalsG0[sci]->GetYaxis()->SetTitle("Row");
pedestalsG0[sci]->GetYaxis()->SetTitleOffset(0.7);
pedestalsG0[sci]->Draw("colz");
sprintf(savename,"%s/pedeG0_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
pedestalsG0[sci]->Delete(); //not needed hereafter (try to save memory)
pedeRMSG0[sci]->GetXaxis()->SetTitle("Column");
pedeRMSG0[sci]->GetYaxis()->SetTitle("Row");
pedeRMSG0[sci]->GetYaxis()->SetTitleOffset(0.7);
pedeRMSG0[sci]->GetZaxis()->SetRangeUser(0,30);
pedeRMSG0[sci]->Draw("colz");
sprintf(savename,"%s/pedeRMSG0_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
pedeRMSG0[sci]->Delete(); //not needed hereafter (try to save memory)
}
//Make sure histograms are deleted
} // end of scope to limit pedestalsG0 and pedeRMSG0
int adc2d_nbin= 1200;
if (isJF11) adc2d_nbin= 1600;
vector<TH2I*> adc2d_1; //(8, vector <TH2I*>(16) ); //declare
vector<TH2I*> adc2d_2;
vector<TH2I*> adc2d_3;
vector<TH2I*> adc2d_4;
vector<TH2I*> adc2d_5;
vector<TH2I*> adc2d_6;
vector<TH2I*> adc2d_7;
vector<TH2I*> adc2d_8;
//TObjArray *adc2d_8 = new TObjArray(NSC);
//adc2d.reserve(8);
/*
TH2I *adc2d_2[16]; = new TH2I("adc2d_2","",adc2d_nbin,-200-0.5,adc2d_nbin-200-0.5,65536,(65536*1-0.5),(65536*2-0.5));
TH2I *adc2d_3[16]; = new TH2I("adc2d_3","",adc2d_nbin,-200-0.5,adc2d_nbin-200-0.5,65536,(65536*2-0.5),(65536*3-0.5));
TH2I *adc2d_4[16]; = new TH2I("adc2d_4","",adc2d_nbin,-200-0.5,adc2d_nbin-200-0.5,65536,(65536*3-0.5),(65536*4-0.5));
TH2I *adc2d_5[14]; = new TH2I("adc2d_5","",adc2d_nbin,-200-0.5,adc2d_nbin-200-0.5,65536,(65536*4-0.5),(65536*5-0.5));
TH2I *adc2d_6[16]; = new TH2I("adc2d_6","",adc2d_nbin,-200-0.5,adc2d_nbin-200-0.5,65536,(65536*5-0.5),(65536*6-0.5));
TH2I *adc2d_7[16]; = new TH2I("adc2d_7","",adc2d_nbin,-200-0.5,adc2d_nbin-200-0.5,65536,(65536*6-0.5),(65536*7-0.5));
TH2I *adc2d_8[16]; = new TH2I("adc2d_8","",adc2d_nbin,-200-0.5,adc2d_nbin-200-0.5,65536,(65536*7-0.5),(65536*8-0.5));
*/
cout << "Initialize adc2d vectors..." << endl;
//initialize
//for ( int adci = 0; adci < 8; ++adci ) {
//vector<TH2I*> v;
//v.reserve(NSC);
for ( int sci = 0; sci < NSC; ++sci ) {
Char_t *_histoname = new Char_t[50];
snprintf( _histoname, 50, "adc2d_1_sc%d", sci );
adc2d_1.push_back( new TH2I( _histoname, "", adc2d_nbin, -200-0.5, adc2d_nbin-200-0.5, 65536, ( 65536*0-0.5 ), ( 65536*( 0+1 )-0.5 ) ) );
snprintf( _histoname, 50, "adc2d_2_sc%d", sci );
adc2d_2.push_back( new TH2I( _histoname, "", adc2d_nbin, -200-0.5, adc2d_nbin-200-0.5, 65536, ( 65536*1-0.5 ), ( 65536*( 1+1 )-0.5 ) ) );
snprintf( _histoname, 50, "adc2d_3_sc%d", sci );
adc2d_3.push_back( new TH2I( _histoname, "", adc2d_nbin, -200-0.5, adc2d_nbin-200-0.5, 65536, ( 65536*2-0.5 ), ( 65536*( 2+1 )-0.5 ) ) );
snprintf( _histoname, 50, "adc2d_4_sc%d", sci );
adc2d_4.push_back( new TH2I( _histoname, "", adc2d_nbin, -200-0.5, adc2d_nbin-200-0.5, 65536, ( 65536*3-0.5 ), ( 65536*( 3+1 )-0.5 ) ) );
snprintf( _histoname, 50, "adc2d_5_sc%d", sci );
adc2d_5.push_back( new TH2I( _histoname, "", adc2d_nbin, -200-0.5, adc2d_nbin-200-0.5, 65536, ( 65536*4-0.5 ), ( 65536*( 4+1 )-0.5 ) ) );
snprintf( _histoname, 50, "adc2d_6_sc%d", sci );
adc2d_6.push_back( new TH2I( _histoname, "", adc2d_nbin, -200-0.5, adc2d_nbin-200-0.5, 65536, ( 65536*5-0.5 ), ( 65536*( 5+1 )-0.5 ) ) );
snprintf( _histoname, 50, "adc2d_7_sc%d", sci );
adc2d_7.push_back( new TH2I( _histoname, "", adc2d_nbin, -200-0.5, adc2d_nbin-200-0.5, 65536, ( 65536*6-0.5 ), ( 65536*( 6+1 )-0.5 ) ) );
snprintf( _histoname, 50, "adc2d_8_sc%d", sci );
adc2d_8.push_back( new TH2I( _histoname, "", adc2d_nbin, -200-0.5, adc2d_nbin-200-0.5, 65536, ( 65536*7-0.5 ), ( 65536*( 7+1 )-0.5 ) ) );
}
//adc2d.push_back(v);
//}
cout << "Done." << endl;
//declare
vector<TH1D*> adcpc_spec;
adcpc_spec.reserve(NSC);
vector<TH2F*> pede_updates;
pede_updates.reserve(NSC);
vector<TH2F*> pede_diff;
pede_diff.reserve(NSC);
cout << "Initialize vectors of histograms..." << endl;
//initialize
for ( int sci = 0; sci < NSC; ++sci ) {
Char_t *_histoname = new Char_t[50];
snprintf( _histoname, 50, "adcpc_spec_sc%d", sci );
adcpc_spec.push_back( new TH1D( _histoname,"",300,0,3000 ) ); //spectrum for every sc, every 10000 frames
snprintf( _histoname, 50, "pede_updates_sc%d", sci );
pede_updates.push_back( new TH2F( _histoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( _histoname, 50, "pede_diff_sc%d", sci );
pede_diff.push_back( new TH2F( _histoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
}
cout << "Done." << endl;
for (int filei = 0; filei < filen; filei++) {
// open data file
sprintf(savename,"%s/%s_%%6.6d.dat", data_loc.c_str(), data_file.c_str()); //VH: note, this adds a double slash in the filepath
thisfile->open((char*)savename, filei);
while (thisfile->readNextFrame()) {
uint16_t* imagedptr = thisfile->getFrameDataHandle();
uint64_t scnumber = thisfile->currentSCnumber();
pedestalObject_SC.at(scnumber)->addG0FrameToPedestalCalculationWThreshold( imagedptr, pedestalObject_SC.at(scnumber), pedeRMS16_G0.at(scnumber).data() );
for (int i = 0; i < NCH; i++) {
uint16_t gain = (imagedptr[i]&0xc000) >> 14;
if (gain == 0) {
int adcpc = (imagedptr[i]&0x3fff) - pedestalObject_SC.at(scnumber)->pedestalOfChannel(i);
adcpc_spec.at(scnumber)->Fill(adcpc);
if (i < (65536*1)) {
adc2d_1[scnumber]->Fill(adcpc,i);
} else if (i < (65536*2)) {
adc2d_2[scnumber]->Fill(adcpc,i);
} else if (i < (65536*3)) {
adc2d_3[scnumber]->Fill(adcpc,i);
} else if (i < (65536*4)) {
adc2d_4[scnumber]->Fill(adcpc,i);
} else if (i < (65536*5)) {
adc2d_5[scnumber]->Fill(adcpc,i);
} else if (i < (65536*6)) {
adc2d_6[scnumber]->Fill(adcpc,i);
} else if (i < (65536*7)) {
adc2d_7[scnumber]->Fill(adcpc,i);
} else if (i < (65536*8)) {
//TH2I *adc2d_now = dynamic_cast<TH2I*>(adc2d_8->At(scnumber));
adc2d_8[scnumber]->Fill(adcpc,i);
}
}
}
}
thisfile->close();
if ( filei%16 == 0 ) { // every 16th file equals every 10000 frames for each storage cell
for ( int sci = 0; sci < 16; ++sci ) {
adcpc_spec[sci]->GetXaxis()->SetTitle("Pedestal corrected ADC [ADU]");
adcpc_spec[sci]->Draw();
mapcanvas->SetLogy();
sprintf(savename,"%s/adcpc_spec_sc%d_slice%d_%s_M%s.png", plotfolder, sci, ( filei/16 ), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
mapcanvas->SetLogy(0);
adcpc_spec[sci]->Reset();
pede_updates[sci]->Reset();
pede_diff[sci]->Reset();
for (int i = 0; i < NCH; i++) {
pede_updates[sci]->Fill( i%NC, i/NC, pedestalObject_SC[sci]->pedestalUpdates(i) );
pede_diff[sci]->Fill( i%NC, i/NC, pedestalObject_SC[sci]->pedestalOfChannel(i) - pedestals16_G0_start[sci][i] );
pedestals16_G0_start[sci][i] = pedestalObject_SC[sci]->pedestalOfChannel(i);
}
pede_updates[sci]->GetXaxis()->SetTitle("Column");
pede_updates[sci]->GetYaxis()->SetTitle("Row");
pede_updates[sci]->GetYaxis()->SetTitleOffset(0.7);
pede_updates[sci]->GetZaxis()->SetRangeUser(0,10000);
pede_updates[sci]->Draw("colz");
sprintf(savename,"%s/pede_updates_sc%d_slice%d_%s_M%s.png", plotfolder, sci, ( filei/16 ), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
pede_diff[sci]->GetXaxis()->SetTitle("Column");
pede_diff[sci]->GetYaxis()->SetTitle("Row");
pede_diff[sci]->GetYaxis()->SetTitleOffset(0.7);
pede_diff[sci]->GetZaxis()->SetRangeUser(-40,40);
pede_diff[sci]->Draw("colz");
sprintf(savename,"%s/pede_diff_sc%d_slice%d_%s_M%s.png", plotfolder, sci, ( filei/16 ), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
pedestalObject_SC[sci]->pedestalResetUpdates();
} //end of storage cell loop
} //end of if filei%16
} // end of file loop
//sprintf(savename,"/mnt/sls_det_storage/jungfrau_data1/jungfrau_ana_sophie/M%s_CalibAna/CuFluo_%s_file0to%d.root", module_str.c_str(), gain_str.c_str(), filen-1);
sprintf(savename,"%s/CuFluo_%s_file0to%d.root", anadata_loc.c_str(), gain_str.c_str(), filen-1); //uncomment for VH 210906
TFile* saved_file = new TFile((const char *)(savename),"RECREATE");
//for ( int adci = 0; adci < 8; ++adci ) {
for ( int sci = 0; sci < 16; ++sci ) {
adc2d_1[sci]->Write();
adc2d_2[sci]->Write();
adc2d_3[sci]->Write();
adc2d_4[sci]->Write();
adc2d_5[sci]->Write();
adc2d_6[sci]->Write();
adc2d_7[sci]->Write();
adc2d_8[sci]->Write();
//TH2I *adc2d_now = dynamic_cast<TH2I*>(adc2d_8->At(sci));
//All pede updates have been written, so they can be destroyed.
pede_updates[sci]->Delete();
pede_diff[sci]->Delete();
//In theory, I believe, adc2d can now also be destroyed since it has already been written to file
adc2d_1[sci]->Delete();
adc2d_2[sci]->Delete();
adc2d_3[sci]->Delete();
adc2d_4[sci]->Delete();
adc2d_5[sci]->Delete();
adc2d_6[sci]->Delete();
adc2d_7[sci]->Delete();
adc2d_8[sci]->Delete();
}
//}
saved_file->Close();
} // end if i creatHistoFile
// We have saved the data into root-file. Now, we read from that same root-file and perform the fitting.
c1->cd();
//sprintf(savename,"/mnt/sls_det_storage/jungfrau_data1/jungfrau_ana_sophie/M%s_CalibAna/CuFluo_%s_file0to%d.root", module_str.c_str(), gain_str.c_str(), filen-1);
sprintf(savename,"%s/CuFluo_%s_file0to%d.root", anadata_loc.c_str(), gain_str.c_str(), filen-1); //uncomment for VH 210906
TFile* comb_file = new TFile((const char *)(savename),"READ");
pixelMaskObject->initialisePixelMask(pixel_mask);
int low_ADU_peak = 0;
int high_ADU_peak = 0;
if (gain_str == "HG0") {
low_ADU_peak = 700;
high_ADU_peak = 900;
if (isJF11) {
low_ADU_peak = 850;
high_ADU_peak = 1350;
}
} else if (gain_str == "G0") {
low_ADU_peak = 200; // was 250
high_ADU_peak = 400;
}
//declare
vector<TH1F*> fit_par3;
fit_par3.reserve(NSC);
vector<TH1F*> fit_par4;
fit_par4.reserve(NSC);
vector<TH1F*> fit_par5;
fit_par5.reserve(NSC);
vector<TH1F*> fit_par6;
fit_par6.reserve(NSC);
vector<TH1F*> fit_par7;
fit_par7.reserve(NSC);
vector<TH2F*> fit_par3_2d;
fit_par3_2d.reserve(NSC);
vector<TH2F*> fit_par4_2d;
fit_par4_2d.reserve(NSC);
vector<TH2F*> fit_par5_2d;
fit_par5_2d.reserve(NSC);
vector<TH2F*> fit_par6_2d;
fit_par6_2d.reserve(NSC);
vector<TH2F*> fit_par7_2d;
fit_par7_2d.reserve(NSC);
vector<TH1F*> peak_fit_pos;
peak_fit_pos.reserve(NSC);
vector<TH1F*> peak_fit_poserr;
peak_fit_poserr.reserve(NSC);
vector<TH2F*> peak_fit_pos_2d;
peak_fit_pos_2d.reserve(NSC);
vector<TH2F*> peak_fit_poserr_2d;
peak_fit_poserr_2d.reserve(NSC);
vector<TH1F*> noise_fit_pos;
noise_fit_pos.reserve(NSC);
vector<TH1F*> noise_fit_poserr;
noise_fit_poserr.reserve(NSC);
vector<TH2F*> noise_fit_pos_2d;
noise_fit_pos_2d.reserve(NSC);
vector<TH2F*> noise_fit_poserr_2d;
noise_fit_poserr_2d.reserve(NSC);
vector<TH1F*> gain_fit;
gain_fit.reserve(NSC);
vector<TH1F*> gain_fiterr;
gain_fiterr.reserve(NSC);
vector<TH2F*> gain_fit_2d;
gain_fit_2d.reserve(NSC);
vector<TH2F*> gain_fiterr_2d;
gain_fiterr_2d.reserve(NSC);
vector<TH1F*> gain_fit_isEdge;
gain_fit_isEdge.reserve(NSC);
vector<TH1F*> gain_fit_isInnerEdge;
gain_fit_isInnerEdge.reserve(NSC);
vector<TH1F*> gain_fit_isDouble;
gain_fit_isDouble.reserve(NSC);
vector<TH1F*> gain_fit_isNextToDouble;
gain_fit_isNextToDouble.reserve(NSC);
vector<TH1F*> gain_fit_isQuad;
gain_fit_isQuad.reserve(NSC);
vector<TH1F*> gain_fit_isBulk;
gain_fit_isBulk.reserve(NSC);
vector<TH2F*> gain_ADUper1keV_2d;
gain_ADUper1keV_2d.reserve(NSC);
vector<TH2F*> gainerr_ADUper1keV_2d;
gainerr_ADUper1keV_2d.reserve(NSC);
//initialize
for ( int sci = 0; sci < NSC; ++sci ) {
Char_t *fithistoname = new Char_t[50];
snprintf( fithistoname, 50, "fit_par3_sc%d", sci );
fit_par3.push_back( new TH1F( fithistoname, "", 100, 0, 50 ) );
snprintf( fithistoname, 50, "fit_par4_sc%d", sci );
fit_par4.push_back( new TH1F( fithistoname, "", 100, 0, 500 ) );
snprintf( fithistoname, 50, "fit_par5_sc%d", sci );
fit_par5.push_back( new TH1F( fithistoname, "", 100, 0, 0.5 ) );
snprintf( fithistoname, 50, "fit_par6_sc%d", sci );
fit_par6.push_back( new TH1F( fithistoname, "", 100, 1.05, 1.3 ) ); // was 1.05, 1.25
snprintf( fithistoname, 50, "fit_par7_sc%d", sci );
fit_par7.push_back( new TH1F( fithistoname, "", 100, 0, 0.4 ) );
snprintf( fithistoname, 50, "fit_par3_2d_sc%d", sci );
fit_par3_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "fit_par4_2d_sc%d", sci );
fit_par4_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "fit_par5_2d_sc%d", sci );
fit_par5_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "fit_par6_2d_sc%d", sci );
fit_par6_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "fit_par7_2d_sc%d", sci );
fit_par7_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "peak_fit_pos_sc%d", sci );
peak_fit_pos.push_back( new TH1F( fithistoname, "", 100, low_ADU_peak, high_ADU_peak ) );
snprintf( fithistoname, 50, "peak_fit_poserr_sc%d", sci );
peak_fit_poserr.push_back( new TH1F( fithistoname, "", 100, 0, 2 ) );
snprintf( fithistoname, 50, "peak_fit_pos_2d_sc%d", sci );
peak_fit_pos_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "peak_fit_poserr_2d_sc%d", sci );
peak_fit_poserr_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "noise_fit_pos_sc%d", sci );
noise_fit_pos.push_back( new TH1F( fithistoname, "", 100, -10, 10 ) );
snprintf( fithistoname, 50, "noise_fit_poserr_sc%d", sci );
noise_fit_poserr.push_back( new TH1F( fithistoname, "", 100, 0, 0.15 ) ); // was 0, 0.1
snprintf( fithistoname, 50, "noise_fit_pos_2d_sc%d", sci );
noise_fit_pos_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "noise_fit_poserr_2d_sc%d", sci );
noise_fit_poserr_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "gain_fit_sc%d", sci );
gain_fit.push_back( new TH1F( fithistoname, "", 100, low_ADU_peak, high_ADU_peak ) );
snprintf( fithistoname, 50, "gain_fiterr_sc%d", sci );
gain_fiterr.push_back( new TH1F( fithistoname, "", 100, 0, 2 ) );
snprintf( fithistoname, 50, "gain_fit_2d_sc%d", sci );
gain_fit_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "gain_fiterr_2d_sc%d", sci );
gain_fiterr_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "gain_fit_isEdge_sc%d", sci );
gain_fit_isEdge.push_back( new TH1F( fithistoname, "", 100, low_ADU_peak, high_ADU_peak ) );
snprintf( fithistoname, 50, "gain_fit_isInnerEdge_sc%d", sci );
gain_fit_isInnerEdge.push_back( new TH1F( fithistoname, "", 100, low_ADU_peak, high_ADU_peak ) );
snprintf( fithistoname, 50, "gain_fit_isDouble_sc%d", sci );
gain_fit_isDouble.push_back( new TH1F( fithistoname, "", 100, low_ADU_peak, high_ADU_peak ) );
snprintf( fithistoname, 50, "gain_fit_isNextToDouble_sc%d", sci );
gain_fit_isNextToDouble.push_back( new TH1F( fithistoname, "", 100, low_ADU_peak, high_ADU_peak ) );
snprintf( fithistoname, 50, "gain_fit_isQuad_sc%d", sci );
gain_fit_isQuad.push_back( new TH1F( fithistoname, "", 100, low_ADU_peak, high_ADU_peak ) );
snprintf( fithistoname, 50, "gain_fit_isBulk_sc%d", sci );
gain_fit_isBulk.push_back( new TH1F( fithistoname, "", 100, low_ADU_peak, high_ADU_peak ) );
snprintf( fithistoname, 50, "gain_ADUper1keV_2d_sc%d", sci );
gain_ADUper1keV_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
snprintf( fithistoname, 50, "gainerr_ADUper1keV_2d_sc%d", sci );
gainerr_ADUper1keV_2d.push_back( new TH2F( fithistoname, "", NC, -0.5, NC-0.5, NR, -0.5, NR-0.5 ) );
} //end histo creating for loop
int low_bin_noise = 101;
int high_bin_noise = 301;
int low_bin_peak = 0;
int high_bin_peak = 0;
if (gain_str == "HG0") {
low_bin_peak = 701;
high_bin_peak = 1200;
if (isJF11) {
low_bin_peak = 801;
high_bin_peak = 1451;
}
} else if (gain_str == "G0") {
low_bin_peak = 301;
high_bin_peak = 651;
}
for ( int sci = 0; sci < NSC; ++sci ) {
for ( int j = 1; j < 9; ++j ) {
cout << "SC = " << sci << " slice " << j << endl;
sprintf( histoname, "adc2d_%d_sc%d", j, sci );
TH2I* adc2d_j = (TH2I*)( comb_file->Get( (const char *)(histoname) ) );
cout << adc2d_j->GetEntries() << endl;
adc2d_j->Draw("colz");
c1->Update();
for (int i=(65536*(j-1)); i<(65536*(j)); ++i) {
if (i%10000==0){cout << "another 10k" << endl;}
TH1D* proj = adc2d_j->ProjectionX("bin1",i-(65536*(j-1))+1,i-(65536*(j-1))+1);
if ( proj->Integral( low_bin_noise, high_bin_noise ) != 0 && proj->Integral( low_bin_peak, high_bin_peak ) != 0 ) {
// noise
TH1D *proj_noise = dynamic_cast<TH1D*>(proj->Rebin(4,"proj_noise"));
proj_noise->SetStats(kTRUE);
proj_noise->GetXaxis()->SetRangeUser(proj->GetBinLowEdge(low_bin_noise),proj->GetBinLowEdge(high_bin_noise+1));
proj_noise->Fit("gaus","Q");
TF1 *fit = proj_noise->GetFunction("gaus");
noise_fit_pos[sci]->Fill(fit->GetParameter(1));
noise_fit_pos_2d[sci]->Fill(i%NC,i/NC,fit->GetParameter(1));
noise_fit_poserr[sci]->Fill(fit->GetParError(1));
noise_fit_poserr_2d[sci]->Fill(i%NC,i/NC,fit->GetParError(1));
// peak
TH1D *proj_peak = dynamic_cast<TH1D*>(proj->Rebin(4,"proj_peak"));
proj_peak->SetStats(kTRUE);
proj_peak->GetXaxis()->SetRangeUser(proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
Double_t mypar[8];
mypar[0] = 0.0;
mypar[1] = 0.0;
mypar[2] = proj_peak->GetBinCenter(proj_peak->GetMaximumBin());
if (gain_str == "G0") {
mypar[3] = 16.;
} else if (gain_str == "HG0") {
mypar[3] = 29.;
}
mypar[4] = proj_peak->GetBinContent(proj_peak->GetMaximumBin());
if (gain_str == "G0") {
mypar[5] = 0.17;
} else if (gain_str == "HG0") {
mypar[5] = 0.14;
}
mypar[6] = 1.12;
if (gain_str == "G0") {
mypar[7] = 0.12;
} else if (gain_str == "HG0") {
mypar[7] = 0.14;
}
Double_t emypar[8];
energyCalibration *thiscalibration = new energyCalibration();
thiscalibration->setScanSign(1);
thiscalibration->setStartParametersKb(mypar);
thiscalibration->fixParameter(0,0.); // no background
thiscalibration->fixParameter(1,0.);
TF1* fittedfun = thiscalibration->fitSpectrumKb( proj_peak, mypar, emypar );
fit_par3[sci]->Fill( mypar[3] );
fit_par4[sci]->Fill( mypar[4] );
fit_par5[sci]->Fill( mypar[5] );
fit_par6[sci]->Fill( mypar[6] );
fit_par7[sci]->Fill( mypar[7] );
fit_par3_2d[sci]->Fill( i%NC, i/NC, mypar[3] );
fit_par4_2d[sci]->Fill( i%NC, i/NC, mypar[4] );
fit_par5_2d[sci]->Fill( i%NC, i/NC, mypar[5] );
fit_par6_2d[sci]->Fill( i%NC, i/NC, mypar[6] );
fit_par7_2d[sci]->Fill( i%NC, i/NC, mypar[7] );
peak_fit_pos[sci]->Fill( mypar[2] );
peak_fit_poserr[sci]->Fill( emypar[2] );
peak_fit_pos_2d[sci]->Fill( i%NC, i/NC, mypar[2] );
peak_fit_poserr_2d[sci]->Fill( i%NC, i/NC, emypar[2] );
if ( ( i >= 58000 && i < 58000+10 ) || // bulk
( i >= 10 && i < 10+10 ) || // edge
( i >= 1024+10 && i < 1024+10+10 ) || // inner edge
( i >= ( 256*1024 )+10 && i < ( 256*1024 )+10+10 ) || // double
( i >= ( 257*1024 )+10 && i < ( 257*1024 )+10+10 ) || // next to double
( i == ( 255*1024 )+255 ) // quad
) {
string pixel_type = "x";
if ( i >= 58000 && i < 58000+10 ) {
pixel_type = "b";
} else if ( i >= 10 && i < 10+10 ) {
pixel_type = "e";
} else if ( i >= 1024+10 && i < 1024+10+10 ) {
pixel_type = "ie";
} else if ( i >= ( 256*1024 )+10 && i < ( 256*1024 )+10+10 ) {
pixel_type = "d";
} else if ( i >= ( 257*1024 )+10 && i < ( 257*1024 )+10+10 ) {
pixel_type = "ntd";
} else if ( i == ( 255*1024 )+255 ) {
pixel_type = "q";
}
proj_noise->Draw();
c1->Update();
proj_noise->GetXaxis()->SetTitle( "Pedestal corrected ADC [ADU]" );
proj_noise->GetXaxis()->SetRangeUser( -100, 150 );
fit->SetParNames( "N_{#gamma}", "Peak pos", "Noise RMS" );
TPaveStats *st0 = (TPaveStats*)proj_noise->FindObject( "stats" );
st0->SetX1NDC(0.53);
st0->SetX2NDC(0.94);
st0->SetY1NDC(0.75);
st0->SetY2NDC(0.94);
st0->SetBorderSize(0);
st0->SetTextSize(0.04);
sprintf( savename, "%s/noise_%s_sc%d_%d_%s_M%s.png", plotfolder, pixel_type.c_str(), sci, i, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
TF1 *gaus_Ka = new TF1( "gaus_Ka", "gaus", proj->GetBinLowEdge(low_bin_peak), proj->GetBinLowEdge(high_bin_peak+1) );
gaus_Ka->SetParameters( mypar[4], mypar[2], mypar[3] );
gaus_Ka->SetLineColor( kBlue );
TF1 *erfc_Ka = new TF1( "erfc_Ka", "[0]/2.*(TMath::Erfc(([1]*(x-[2])/[3])/(TMath::Sqrt(2.))))", proj->GetBinLowEdge(low_bin_peak), proj->GetBinLowEdge(high_bin_peak+1) );
erfc_Ka->SetParameters( mypar[4]*mypar[5], 1, mypar[2], mypar[3] );
erfc_Ka->SetLineColor( kOrange );
TF1 *gaus_Kb = new TF1( "gaus_Kb", "gaus", proj->GetBinLowEdge(low_bin_peak), proj->GetBinLowEdge(high_bin_peak+1) );
gaus_Kb->SetParameters( mypar[4]*mypar[7], mypar[6]*mypar[2], mypar[3] );
gaus_Kb->SetLineColor( kGreen+2 );
TF1 *erfc_Kb = new TF1( "erfc_Kb", "[0]/2.*(TMath::Erfc(([1]*(x-[2])/[3])/(TMath::Sqrt(2.))))", proj->GetBinLowEdge(low_bin_peak), proj->GetBinLowEdge(high_bin_peak+1) );
erfc_Kb->SetParameters( mypar[4]*mypar[7]*mypar[5], 1, mypar[6]*mypar[2], mypar[3] );
erfc_Kb->SetLineColor( kOrange+7 );
proj_peak->Draw();
erfc_Kb->Draw("same");
erfc_Ka->Draw("same");
gaus_Kb->Draw("same");
gaus_Ka->Draw("same");
fittedfun->Draw("same");
c1->Update();
proj_peak->GetXaxis()->SetTitle( "Pedestal corrected ADC [ADU]" );
fittedfun->SetParNames( "Bkg height", "Bkg grad", "K_{#alpha} pos", "Noise RMS", "K_{#alpha} height", "CS", "K_{#beta}/K_{#alpha} pos", "K_{#beta} frac" );
TPaveStats *st = (TPaveStats*)proj_peak->FindObject( "stats" );
st->SetX1NDC(0.22);
st->SetX2NDC(0.62);
st->SetY1NDC(0.7);
st->SetY2NDC(0.94);
st->SetBorderSize(0);
st->SetTextSize(0.04);
sprintf( savename, "%s/peak_%s_sc%d_%d_%s_M%s.png", plotfolder, pixel_type.c_str(), sci, i, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
}
// gain
gain_fit[sci]->Fill( mypar[2] - fit->GetParameter(1) );
gain_fiterr[sci]->Fill( sqrt( pow(emypar[2],2) + pow(fit->GetParError(1),2) ) );
gain_fit_2d[sci]->Fill( i%NC, i/NC, mypar[2] - fit->GetParameter(1) );
gain_fiterr_2d[sci]->Fill( i%NC, i/NC, sqrt( pow(emypar[2],2) + pow(fit->GetParError(1),2) ) );
gain_ADUper1keV_2d[sci]->Fill( i%NC, i/NC, ( mypar[2] - fit->GetParameter(1) ) / 8.0 );
gainerr_ADUper1keV_2d[sci]->Fill( i%NC, i/NC, sqrt( pow( emypar[2],2 ) + pow( fit->GetParError(1),2) ) / 8.0 );
if (isEdge(i)) {
gain_fit_isEdge[sci]->Fill( mypar[2] - fit->GetParameter(1) );
}
if (isInnerEdge(i)) {
gain_fit_isInnerEdge[sci]->Fill( mypar[2] - fit->GetParameter(1) );
}
if (isDouble(i)) {
gain_fit_isDouble[sci]->Fill( mypar[2] - fit->GetParameter(1) );
}
if (isNextToDouble(i)) {
gain_fit_isNextToDouble[sci]->Fill( mypar[2] - fit->GetParameter(1) );
}
if (isQuad(i)) {
gain_fit_isQuad[sci]->Fill( mypar[2] - fit->GetParameter(1) );
}
if (isBulk(i)) {
gain_fit_isBulk[sci]->Fill( mypar[2] - fit->GetParameter(1) );
}
delete thiscalibration;
delete proj_noise;
delete proj_peak;
delete proj;
} else {
pixel_mask[i] = false;
} //end if can be fitted
} // end for loop pixel numbers (i)
} // end for loop sensor slices (j)
sprintf( savename, "%s/pixelmask_afterfit_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
pixelMaskObject->plotPixelMask( pixel_mask, savename );
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);
mapcanvas->cd();
fit_par3_2d[sci]->GetXaxis()->SetTitle("Column");
fit_par3_2d[sci]->GetYaxis()->SetTitle("Row");
fit_par3_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
fit_par3_2d[sci]->Draw("colz");
fit_par3_2d[sci]->GetZaxis()->SetRangeUser(0,50);
sprintf( savename, "%s/fit_par3_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
fit_par3_2d[sci]->Delete();
fit_par4_2d[sci]->GetXaxis()->SetTitle("Column");
fit_par4_2d[sci]->GetYaxis()->SetTitle("Row");
fit_par4_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
fit_par4_2d[sci]->Draw("colz");
fit_par4_2d[sci]->GetZaxis()->SetRangeUser(0,500);
sprintf( savename, "%s/fit_par4_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
fit_par4_2d[sci]->Delete();
fit_par5_2d[sci]->GetXaxis()->SetTitle("Column");
fit_par5_2d[sci]->GetYaxis()->SetTitle("Row");
fit_par5_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
fit_par5_2d[sci]->Draw("colz");
fit_par5_2d[sci]->GetZaxis()->SetRangeUser(0,0.5);
sprintf( savename, "%s/fit_par5_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
fit_par5_2d[sci]->Delete();
fit_par6_2d[sci]->GetXaxis()->SetTitle("Column");
fit_par6_2d[sci]->GetYaxis()->SetTitle("Row");
fit_par6_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
fit_par6_2d[sci]->Draw("colz");
fit_par6_2d[sci]->GetZaxis()->SetRangeUser(1.0,1.3); //was (1.0,1.25)
sprintf( savename, "%s/fit_par6_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
fit_par6_2d[sci]->Delete();
fit_par7_2d[sci]->GetXaxis()->SetTitle("Column");
fit_par7_2d[sci]->GetYaxis()->SetTitle("Row");
fit_par7_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
fit_par7_2d[sci]->Draw("colz");
fit_par7_2d[sci]->GetZaxis()->SetRangeUser(0.,0.4);
sprintf( savename, "%s/fit_par7_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
peak_fit_pos_2d[sci]->GetXaxis()->SetTitle("Column");
peak_fit_pos_2d[sci]->GetYaxis()->SetTitle("Row");
peak_fit_pos_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
peak_fit_pos_2d[sci]->Draw("colz");
peak_fit_pos_2d[sci]->GetZaxis()->SetRangeUser( low_ADU_peak, high_ADU_peak );
sprintf( savename, "%s/peak_fit_pos_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
peak_fit_pos_2d[sci]->Delete();
peak_fit_poserr_2d[sci]->GetXaxis()->SetTitle("Column");
peak_fit_poserr_2d[sci]->GetYaxis()->SetTitle("Row");
peak_fit_poserr_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
peak_fit_poserr_2d[sci]->Draw("colz");
peak_fit_poserr_2d[sci]->GetZaxis()->SetRangeUser(0,2);
sprintf( savename, "%s/peak_fit_poserr_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
peak_fit_poserr_2d[sci]->Delete();
noise_fit_pos_2d[sci]->GetXaxis()->SetTitle("Column");
noise_fit_pos_2d[sci]->GetYaxis()->SetTitle("Row");
noise_fit_pos_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
noise_fit_pos_2d[sci]->Draw("colz");
noise_fit_pos_2d[sci]->GetZaxis()->SetRangeUser(-5,5);
sprintf( savename, "%s/noise_fit_pos_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
noise_fit_pos_2d[sci]->Delete();
noise_fit_poserr_2d[sci]->GetXaxis()->SetTitle("Column");
noise_fit_poserr_2d[sci]->GetYaxis()->SetTitle("Row");
noise_fit_poserr_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
noise_fit_poserr_2d[sci]->Draw("colz");
if (gain_str == "HG0") {
noise_fit_poserr_2d[sci]->GetZaxis()->SetRangeUser(0,0.1);
} else if (gain_str == "G0") {
noise_fit_poserr_2d[sci]->GetZaxis()->SetRangeUser(0,0.1); // was 0,0.05
}
sprintf( savename, "%s/noise_fit_poserr_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
noise_fit_poserr_2d[sci]->Delete();
gain_fit_2d[sci]->GetXaxis()->SetTitle("Column");
gain_fit_2d[sci]->GetYaxis()->SetTitle("Row");
gain_fit_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
gain_fit_2d[sci]->Draw("colz");
sprintf( savename, "%s [ADU/8 keV]", gain_str.c_str() );
pave->AddText( (const char *)(savename) );
pave->Draw();
gain_fit_2d[sci]->GetZaxis()->SetRangeUser( low_ADU_peak, high_ADU_peak );
sprintf( savename, "%s/gain_fit_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
gain_fit_2d[sci]->Delete();
gain_fiterr_2d[sci]->GetXaxis()->SetTitle("Column");
gain_fiterr_2d[sci]->GetYaxis()->SetTitle("Row");
gain_fiterr_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
gain_fiterr_2d[sci]->Draw("colz");
gain_fiterr_2d[sci]->GetZaxis()->SetRangeUser(0,2);
sprintf( savename, "%s/gain_fiterr_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
gain_fiterr_2d[sci]->Delete();
gain_ADUper1keV_2d[sci]->GetXaxis()->SetTitle("Column");
gain_ADUper1keV_2d[sci]->GetYaxis()->SetTitle("Row");
gain_ADUper1keV_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
gain_ADUper1keV_2d[sci]->Draw("colz");
if (gain_str == "HG0") {
gain_ADUper1keV_2d[sci]->GetZaxis()->SetRangeUser(80,120);
} else if (gain_str == "G0") {
gain_ADUper1keV_2d[sci]->GetZaxis()->SetRangeUser(25,45); //was 35,50
}
sprintf( savename, "%s/gain_ADUper1keV_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
//gain_ADUper1keV_2d[sci]->Delete();
gainerr_ADUper1keV_2d[sci]->GetXaxis()->SetTitle("Column");
gainerr_ADUper1keV_2d[sci]->GetYaxis()->SetTitle("Row");
gainerr_ADUper1keV_2d[sci]->GetYaxis()->SetTitleOffset(0.7);
gainerr_ADUper1keV_2d[sci]->Draw("colz");
if (gain_str == "HG0") {
gainerr_ADUper1keV_2d[sci]->GetZaxis()->SetRangeUser(0,0.5);
} else if (gain_str == "G0") {
gainerr_ADUper1keV_2d[sci]->GetZaxis()->SetRangeUser(0,0.25);
}
sprintf( savename, "%s/gainerr_ADUper1keV_2d_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
mapcanvas->SaveAs( (const char *)(savename) );
//gainerr_ADUper1keV_2d[sci]->Delete();
c1->cd();
fit_par3[sci]->GetXaxis()->SetTitle("Fit par 3");
fit_par3[sci]->Draw();
sprintf( savename, "%s/fit_par3_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
fit_par3[sci]->Delete();
fit_par4[sci]->GetXaxis()->SetTitle("Fit par 4");
fit_par4[sci]->Draw();
sprintf( savename, "%s/fit_par4_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
fit_par4[sci]->Delete();
fit_par5[sci]->GetXaxis()->SetTitle("Fit par 5");
fit_par5[sci]->Draw();
sprintf( savename, "%s/fit_par5_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
fit_par5[sci]->Delete();
fit_par6[sci]->GetXaxis()->SetTitle("Fit par 6");
fit_par6[sci]->Draw();
sprintf( savename, "%s/fit_par6_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
fit_par6[sci]->Delete();
fit_par7[sci]->GetXaxis()->SetTitle("Fit par 7");
fit_par7[sci]->Draw();
sprintf( savename, "%s/fit_par7_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
peak_fit_pos[sci]->GetXaxis()->SetTitle("Peak position [ADU]");
peak_fit_pos[sci]->Draw();
sprintf( savename, "%s/peak_fit_pos_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
peak_fit_pos[sci]->Delete();
peak_fit_poserr[sci]->GetXaxis()->SetTitle("Peak position uncert [ADU]");
peak_fit_poserr[sci]->Draw();
sprintf( savename, "%s/peak_fit_poserr_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
peak_fit_poserr[sci]->Delete();
noise_fit_pos[sci]->GetXaxis()->SetTitle("Noise position [ADU]");
noise_fit_pos[sci]->Draw();
sprintf( savename, "%s/noise_fit_pos_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
noise_fit_pos[sci]->Delete();
noise_fit_poserr[sci]->GetXaxis()->SetTitle("Noise position uncert [ADU]");
noise_fit_poserr[sci]->Draw();
sprintf( savename, "%s/noise_fit_poserr_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
noise_fit_poserr[sci]->Delete();
sprintf( savename, "Gain %s [ADU / 8 keV]", gain_str.c_str() );
gain_fit[sci]->GetXaxis()->SetTitle( (const char *)(savename) );
gain_fit[sci]->Draw();
sprintf( savename, "%s/gain_fit_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
//gain_fit[sci]->Delete();
gain_fit[sci]->GetXaxis()->SetRangeUser( low_ADU_peak+30, high_ADU_peak );
gain_fit[sci]->Fit("gaus");
gain_fit[sci]->Draw();
c1->Update();
TPaveText *pave2 = new TPaveText( 0.6, 0.8, 0.94, 0.94, "blNDC" );
pave2->SetBorderSize(0);
pave2->SetFillStyle(0);
pave2->SetTextSize(0.04);
pave2->SetTextAlign(32);
TF1* gain_fit_gaus = gain_fit[sci]->GetFunction("gaus");
sprintf( savename, "Mean %0.2f #pm %0.2f", gain_fit_gaus->GetParameter(1), gain_fit_gaus->GetParError(1) );
pave2->AddText( (const char *)(savename) );
sprintf( savename, "Sigma %0.2f #pm %0.2f", gain_fit_gaus->GetParameter(2), gain_fit_gaus->GetParError(2) );
pave2->AddText( (const char *)(savename) );
pave2->Draw();
gain_fit[sci]->SetStats(kFALSE);
sprintf( savename, "%s/gain_fit_fit_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
gain_fit[sci]->Delete();
gain_fiterr[sci]->GetXaxis()->SetTitle("Gain uncert [ADU / 8 keV]");
gain_fiterr[sci]->Draw();
sprintf( savename, "%s/gain_fiterr_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
gain_fiterr[sci]->Delete();
gain_fit_isEdge[sci]->SetLineColor(kBlue);
gain_fit_isInnerEdge[sci]->SetLineColor(kCyan);
gain_fit_isDouble[sci]->SetLineColor(kGreen+2);
gain_fit_isNextToDouble[sci]->SetLineColor(kRed);
gain_fit_isQuad[sci]->SetLineColor(kOrange);
gain_fit_isEdge[sci]->Scale( 1./gain_fit_isEdge[sci]->GetEntries() );
gain_fit_isInnerEdge[sci]->Scale( 1./gain_fit_isInnerEdge[sci]->GetEntries() );
gain_fit_isDouble[sci]->Scale( 1./gain_fit_isDouble[sci]->GetEntries() );
gain_fit_isNextToDouble[sci]->Scale( 1./gain_fit_isNextToDouble[sci]->GetEntries() );
gain_fit_isQuad[sci]->Scale( 1./gain_fit_isQuad[sci]->GetEntries() );
gain_fit_isBulk[sci]->Scale( 1./gain_fit_isBulk[sci]->GetEntries() );
TLegend *leg = new TLegend( 0.62, 0.6, 0.93, 0.93 );
leg->AddEntry( gain_fit_isBulk[sci], "Normal", "l" );
leg->AddEntry( gain_fit_isDouble[sci], "Double", "l" );
leg->AddEntry( gain_fit_isNextToDouble[sci], "Next to D", "l" );
leg->AddEntry( gain_fit_isEdge[sci], "Edge", "l" );
leg->AddEntry( gain_fit_isInnerEdge[sci], "Inner E", "l" );
sprintf( savename, "Gain %s [ADU / 8 keV]", gain_str.c_str() );
gain_fit_isDouble[sci]->GetXaxis()->SetTitle( (const char *)(savename) );
gain_fit_isDouble[sci]->GetYaxis()->SetTitle("Normalised");
gain_fit_isDouble[sci]->GetYaxis()->SetTitleOffset(1.3);
gain_fit_isDouble[sci]->SetMinimum(0.0);
gain_fit_isDouble[sci]->SetMaximum(0.16);
gain_fit_isDouble[sci]->Draw();
gain_fit_isEdge[sci]->Draw("same");
gain_fit_isInnerEdge[sci]->Draw("same");
gain_fit_isNextToDouble[sci]->Draw("same");
gain_fit_isBulk[sci]->Draw("same");
leg->Draw("same");
sprintf( savename, "%s/gain_fit_perType_sc%d_%s_M%s.png", plotfolder, sci, gain_str.c_str(), module_str.c_str() );
c1->SaveAs( (const char *)(savename) );
gain_fit_isDouble[sci]->Delete();
gain_fit_isEdge[sci]->Delete();
gain_fit_isInnerEdge[sci]->Delete();
gain_fit_isNextToDouble[sci]->Delete();
gain_fit_isBulk[sci]->Delete();
sprintf( savename, "%s/CuFluo_gain_sc%d_%s_M%s.root", rootdatafolder, sci, gain_str.c_str(), module_str.c_str() );
TFile* saved_file = new TFile( (const char *)(savename), "RECREATE" );
gain_ADUper1keV_2d[sci]->Write();
gainerr_ADUper1keV_2d[sci]->Write();
saved_file->Close();
gain_ADUper1keV_2d[sci]->Delete();
gainerr_ADUper1keV_2d[sci]->Delete();
} // end of sc loop
}
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