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JFCalibration/CuFluo_Ka_KaKb_Comp.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 fit fluo spectrum per pixel with Kalpha and Kalpha plus Kbeta
// and compare the differences
#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"
int main(int argc, char* argv[]) {
jungfrauStyle();
gStyle->SetOptFit(11);
if (argc != 3) {
cout << "Correct usage:" << endl;
cout << "arg 1: specify module number" << endl;
cout << "arg 2: specify HG0 or G0" << endl;
cout << " " << endl;
exit(1);
}
string module_str = argv[1];
string gain_str = argv[2];
char histoname[128];
char savename[128];
TCanvas* c1 = new TCanvas("c1","");
sprintf(savename,"/mnt/pcmoench_jungfrau_data/jungfrau_ana_sophie/M%s_CalibAna/CuFluo_%s_comb.root", module_str.c_str(), gain_str.c_str());
TFile* comb_file = new TFile((const char *)(savename),"READ");
jungfrauPixelMask *pixelMaskObject = new jungfrauPixelMask();
bool pixel_mask [NCH];
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;
} else if (gain_str == "G0") {
low_ADU_peak = 250;
high_ADU_peak = 400;
}
TH1F* peak_Ka_fit_pos = new TH1F("peak_Ka_fit_pos","",100,low_ADU_peak,high_ADU_peak);
TH1F* peak_Ka_fit_poserr = new TH1F("peak_Ka_fit_poserr","",100,0,2);
TH2F* peak_Ka_fit_pos_2d = new TH2F("peak_Ka_fit_pos_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH2F* peak_Ka_fit_poserr_2d = new TH2F("peak_Ka_fit_poserr_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH1F* peak_KaKb_fit_pos = new TH1F("peak_KaKb_fit_pos","",100,low_ADU_peak,high_ADU_peak);
TH1F* peak_KaKb_fit_poserr = new TH1F("peak_KaKb_fit_poserr","",100,0,2);
TH2F* peak_KaKb_fit_pos_2d = new TH2F("peak_KaKb_fit_pos_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH2F* peak_KaKb_fit_poserr_2d = new TH2F("peak_KaKb_fit_poserr_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH1F* noise_fit_pos = new TH1F("noise_fit_pos","",100,-30,30);
TH1F* noise_fit_poserr = new TH1F("noise_fit_poserr","",100,0,0.1);
TH2F* noise_fit_pos_2d = new TH2F("noise_fit_pos_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH2F* noise_fit_poserr_2d = new TH2F("noise_fit_poserr_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH1F* gain_Ka_fit = new TH1F("gain_Ka_fit","",100,low_ADU_peak,high_ADU_peak);
TH1F* gain_Ka_fiterr = new TH1F("gain_Ka_fiterr","",100,0,2);
TH2F* gain_Ka_fit_2d = new TH2F("gain_Ka_fit_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH2F* gain_Ka_fiterr_2d = new TH2F("gain_Ka_fiterr_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH1F* gain_KaKb_fit = new TH1F("gain_KaKb_fit","",100,low_ADU_peak,high_ADU_peak);
TH1F* gain_KaKb_fiterr = new TH1F("gain_KaKb_fiterr","",100,0,2);
TH2F* gain_KaKb_fit_2d = new TH2F("gain_KaKb_fit_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH2F* gain_KaKb_fiterr_2d = new TH2F("gain_KaKb_fiterr_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
TH1F* gain_diff_fit = new TH1F("gain_diff_fit","",100,-10,10);
TH2F* gain_diff_fit_2d = new TH2F("gain_diff_fit_2d","",NC,-0.5,NC-0.5,NR,-0.5,NR-0.5);
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;
} else if (gain_str == "G0") {
low_bin_peak = 301;
high_bin_peak = 651;
}
for (int j=1; j<9; j++) {
cout << "slice " << j << endl;
sprintf(histoname,"adc2d_%i",j);
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->Fill(fit->GetParameter(1));
noise_fit_pos_2d->Fill(i%NC,i/NC,fit->GetParameter(1));
noise_fit_poserr->Fill(fit->GetParError(1));
noise_fit_poserr_2d->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));
// Ka
Double_t mypar_Ka[6];
mypar_Ka[0] = 0.0;
mypar_Ka[1] = 0.0;
mypar_Ka[2] = proj_peak->GetBinCenter(proj_peak->GetMaximumBin());
mypar_Ka[3] = 19.;
mypar_Ka[4] = proj_peak->GetBinContent(proj_peak->GetMaximumBin());
mypar_Ka[5] = 0.18;
Double_t emypar_Ka[6];
energyCalibration *thiscalibration_Ka = new energyCalibration();
int sign_Ka = 1;
thiscalibration_Ka->setScanSign(sign_Ka);
thiscalibration_Ka->setStartParametersKb(mypar_Ka);
thiscalibration_Ka->fixParameter(0,0.); // no background
thiscalibration_Ka->fixParameter(1,0.);
TF1* fittedfun_Ka = thiscalibration_Ka->fitSpectrum(proj_peak,mypar_Ka,emypar_Ka);
peak_Ka_fit_pos->Fill(mypar_Ka[2]);
peak_Ka_fit_poserr->Fill(emypar_Ka[2]);
peak_Ka_fit_pos_2d->Fill(i%NC,i/NC,mypar_Ka[2]);
peak_Ka_fit_poserr_2d->Fill(i%NC,i/NC,emypar_Ka[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,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/noise_%s_%d_%s_M%s.png", module_str.c_str(), gain_str.c_str(), pixel_type.c_str(), i, gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
TF1 *mygaus_Ka = new TF1("mygaus_Ka","gaus",proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
mygaus_Ka->SetParameters(mypar_Ka[4],mypar_Ka[2],mypar_Ka[3]);
mygaus_Ka->SetLineColor(kBlue);
TF1 *mypedestal_Ka = new TF1("mypedestal_Ka","[0]-[1]*[2]*x",proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
mypedestal_Ka->SetParameters(mypar_Ka[0],mypar_Ka[1],sign_Ka);
mypedestal_Ka->SetLineColor(kViolet-5);
TF1 *myerfc_Ka = new TF1("myerfc_Ka","[0]/2.*(TMath::Erfc(([1]*(x-[2])/[3])/(TMath::Sqrt(2.))))",proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
myerfc_Ka->SetParameters(mypar_Ka[4]*mypar_Ka[5], sign_Ka, mypar_Ka[2], mypar_Ka[3]);
myerfc_Ka->SetLineColor(kOrange);
proj_peak->Draw();
fittedfun_Ka->Draw("same");
myerfc_Ka->Draw("same");
mygaus_Ka->Draw("same");
mypedestal_Ka->Draw("same");
proj_peak->SetMinimum(-10);
c1->Update();
proj_peak->GetXaxis()->SetTitle("Pedestal corrected ADC [ADU]");
fittedfun_Ka->SetParNames("Bkg height", "Bkg grad", "K_{#alpha} pos", "Noise RMS", "K_{#alpha} height", "CS");
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,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_Ka_%s_%d_%s_M%s.png", module_str.c_str(), gain_str.c_str(), pixel_type.c_str(), i, gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
}
gain_Ka_fit->Fill(mypar_Ka[2] - fit->GetParameter(1));
gain_Ka_fiterr->Fill(sqrt(pow(emypar_Ka[2],2) + pow(fit->GetParError(1),2)));
gain_Ka_fit_2d->Fill(i%NC,i/NC,mypar_Ka[2] - fit->GetParameter(1));
gain_Ka_fiterr_2d->Fill(i%NC,i/NC,sqrt(pow(emypar_Ka[2],2) + pow(fit->GetParError(1),2)));
// KaKb
Double_t mypar_KaKb[8];
mypar_KaKb[0] = 0.0;
mypar_KaKb[1] = 0.0;
mypar_KaKb[2] = proj_peak->GetBinCenter(proj_peak->GetMaximumBin());
if (gain_str == "G0") {
mypar_KaKb[3] = 16.;
} else if (gain_str == "HG0") {
mypar_KaKb[3] = 29.;
}
mypar_KaKb[4] = proj_peak->GetBinContent(proj_peak->GetMaximumBin());
if (gain_str == "G0") {
mypar_KaKb[5] = 0.17;
} else if (gain_str == "HG0") {
mypar_KaKb[5] = 0.14;
}
mypar_KaKb[6] = 1.12;
if (gain_str == "G0") {
mypar_KaKb[7] = 0.12;
} else if (gain_str == "HG0") {
mypar_KaKb[7] = 0.14;
}
Double_t emypar_KaKb[8];
energyCalibration *thiscalibration_KaKb = new energyCalibration();
int sign_KaKb = 1;
thiscalibration_KaKb->setScanSign(sign_KaKb);
thiscalibration_KaKb->setStartParametersKb(mypar_KaKb);
thiscalibration_KaKb->fixParameter(0,0.); // no background
thiscalibration_KaKb->fixParameter(1,0.);
TF1* fittedfun_KaKb = thiscalibration_KaKb->fitSpectrumKb(proj_peak,mypar_KaKb,emypar_KaKb);
peak_KaKb_fit_pos->Fill(mypar_KaKb[2]);
peak_KaKb_fit_poserr->Fill(emypar_KaKb[2]);
peak_KaKb_fit_pos_2d->Fill(i%NC,i/NC,mypar_KaKb[2]);
peak_KaKb_fit_poserr_2d->Fill(i%NC,i/NC,emypar_KaKb[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";
}
TF1 *mygaus_KaKb = new TF1("mygaus_KaKb","gaus",proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
mygaus_KaKb->SetParameters(mypar_KaKb[4],mypar_KaKb[2],mypar_KaKb[3]);
mygaus_KaKb->SetLineColor(kBlue);
TF1 *mygausb_KaKb = new TF1("mygausb_KaKb","gaus",proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
mygausb_KaKb->SetParameters(mypar_KaKb[4]*mypar_KaKb[7],mypar_KaKb[6]*mypar_KaKb[2],mypar_KaKb[3]);
mygausb_KaKb->SetLineColor(kGreen+2);
TF1 *myerfc_KaKb = new TF1("myerfc_KaKb","[0]/2.*(TMath::Erfc(([1]*(x-[2])/[3])/(TMath::Sqrt(2.))))",proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
myerfc_KaKb->SetParameters(mypar_KaKb[4]*mypar_KaKb[5], sign_KaKb, mypar_KaKb[2], mypar_KaKb[3]);
myerfc_KaKb->SetLineColor(kOrange);
TF1 *myerfcb_KaKb = new TF1("myerfcb_KaKb","[0]/2.*(TMath::Erfc(([1]*(x-[2])/[3])/(TMath::Sqrt(2.))))",proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
myerfcb_KaKb->SetParameters(mypar_KaKb[4]*mypar_KaKb[7]*mypar_KaKb[5], sign_KaKb, mypar_KaKb[6]*mypar_KaKb[2], mypar_KaKb[3]);
myerfcb_KaKb->SetLineColor(kOrange+7);
TF1 *mypedestal_KaKb = new TF1("mypedestal_KaKb","[0]-[1]*[2]*x",proj->GetBinLowEdge(low_bin_peak),proj->GetBinLowEdge(high_bin_peak+1));
mypedestal_KaKb->SetParameters(mypar_KaKb[0],mypar_KaKb[1],sign_KaKb);
mypedestal_KaKb->SetLineColor(kViolet-5);
proj_peak->Draw();
fittedfun_KaKb->Draw("same");
mygaus_KaKb->Draw("same");
mygausb_KaKb->Draw("same");
myerfc_KaKb->Draw("same");
myerfcb_KaKb->Draw("same");
mypedestal_KaKb->Draw("same");
proj->SetMinimum(-10);
c1->Update();
proj_peak->GetXaxis()->SetTitle("Pedestal corrected ADC [ADU]");
fittedfun_KaKb->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,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_KaKb_%s_%d_%s_M%s.png", module_str.c_str(), gain_str.c_str(), pixel_type.c_str(), i, gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
}
gain_KaKb_fit->Fill(mypar_KaKb[2] - fit->GetParameter(1));
gain_KaKb_fiterr->Fill(sqrt(pow(emypar_KaKb[2],2) + pow(fit->GetParError(1),2)));
gain_KaKb_fit_2d->Fill(i%NC,i/NC,mypar_KaKb[2] - fit->GetParameter(1));
gain_KaKb_fiterr_2d->Fill(i%NC,i/NC,sqrt(pow(emypar_KaKb[2],2) + pow(fit->GetParError(1),2)));
gain_diff_fit->Fill(mypar_KaKb[2] - mypar_Ka[2]);
gain_diff_fit_2d->Fill(i%NC,i/NC,mypar_KaKb[2] - mypar_Ka[2]);
delete thiscalibration_Ka;
delete thiscalibration_KaKb;
delete proj_noise;
delete proj_peak;
delete proj;
} else {
pixel_mask[i] = false;
}
}
}
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/pixelmask_afterfit_%s_M%s.png", module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
pixelMaskObject->plotPixelMask(pixel_mask,savename);
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);
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);
peak_Ka_fit_pos_2d->GetXaxis()->SetTitle("Column");
peak_Ka_fit_pos_2d->GetYaxis()->SetTitle("Row");
peak_Ka_fit_pos_2d->GetYaxis()->SetTitleOffset(0.7);
peak_Ka_fit_pos_2d->Draw("colz");
peak_Ka_fit_pos_2d->GetZaxis()->SetRangeUser(low_ADU_peak,high_ADU_peak);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_Ka_fit_pos_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
peak_Ka_fit_poserr_2d->GetXaxis()->SetTitle("Column");
peak_Ka_fit_poserr_2d->GetYaxis()->SetTitle("Row");
peak_Ka_fit_poserr_2d->GetYaxis()->SetTitleOffset(0.7);
peak_Ka_fit_poserr_2d->Draw("colz");
peak_Ka_fit_poserr_2d->GetZaxis()->SetRangeUser(0,2);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_Ka_fit_poserr_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
peak_KaKb_fit_pos_2d->GetXaxis()->SetTitle("Column");
peak_KaKb_fit_pos_2d->GetYaxis()->SetTitle("Row");
peak_KaKb_fit_pos_2d->GetYaxis()->SetTitleOffset(0.7);
peak_KaKb_fit_pos_2d->Draw("colz");
peak_KaKb_fit_pos_2d->GetZaxis()->SetRangeUser(low_ADU_peak,high_ADU_peak);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_KaKb_fit_pos_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
peak_KaKb_fit_poserr_2d->GetXaxis()->SetTitle("Column");
peak_KaKb_fit_poserr_2d->GetYaxis()->SetTitle("Row");
peak_KaKb_fit_poserr_2d->GetYaxis()->SetTitleOffset(0.7);
peak_KaKb_fit_poserr_2d->Draw("colz");
peak_KaKb_fit_poserr_2d->GetZaxis()->SetRangeUser(0,2);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_KaKb_fit_poserr_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
noise_fit_pos_2d->GetXaxis()->SetTitle("Column");
noise_fit_pos_2d->GetYaxis()->SetTitle("Row");
noise_fit_pos_2d->GetYaxis()->SetTitleOffset(0.7);
noise_fit_pos_2d->Draw("colz");
noise_fit_pos_2d->GetZaxis()->SetRangeUser(-30,30);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/noise_fit_pos_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
noise_fit_poserr_2d->GetXaxis()->SetTitle("Column");
noise_fit_poserr_2d->GetYaxis()->SetTitle("Row");
noise_fit_poserr_2d->GetYaxis()->SetTitleOffset(0.7);
noise_fit_poserr_2d->Draw("colz");
if (gain_str == "HG0") {
noise_fit_poserr_2d->GetZaxis()->SetRangeUser(0,0.1);
} else if (gain_str == "G0") {
noise_fit_poserr_2d->GetZaxis()->SetRangeUser(0,0.05);
}
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/noise_fit_poserr_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
gain_Ka_fit_2d->GetXaxis()->SetTitle("Column");
gain_Ka_fit_2d->GetYaxis()->SetTitle("Row");
gain_Ka_fit_2d->GetYaxis()->SetTitleOffset(0.7);
gain_Ka_fit_2d->Draw("colz");
sprintf(savename,"%s [ADU/8 keV]", gain_str.c_str());
pave->AddText((const char *)(savename));
pave->Draw();
gain_Ka_fit_2d->GetZaxis()->SetRangeUser(low_ADU_peak,high_ADU_peak);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_Ka_fit_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
gain_Ka_fiterr_2d->GetXaxis()->SetTitle("Column");
gain_Ka_fiterr_2d->GetYaxis()->SetTitle("Row");
gain_Ka_fiterr_2d->GetYaxis()->SetTitleOffset(0.7);
gain_Ka_fiterr_2d->Draw("colz");
gain_Ka_fiterr_2d->GetZaxis()->SetRangeUser(0,2);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_Ka_fiterr_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
gain_KaKb_fit_2d->GetXaxis()->SetTitle("Column");
gain_KaKb_fit_2d->GetYaxis()->SetTitle("Row");
gain_KaKb_fit_2d->GetYaxis()->SetTitleOffset(0.7);
gain_KaKb_fit_2d->Draw("colz");
sprintf(savename,"%s [ADU/8 keV]", gain_str.c_str());
pave->Clear();
pave->AddText((const char *)(savename));
pave->Draw();
gain_KaKb_fit_2d->GetZaxis()->SetRangeUser(low_ADU_peak,high_ADU_peak);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_KaKb_fit_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
gain_KaKb_fiterr_2d->GetXaxis()->SetTitle("Column");
gain_KaKb_fiterr_2d->GetYaxis()->SetTitle("Row");
gain_KaKb_fiterr_2d->GetYaxis()->SetTitleOffset(0.7);
gain_KaKb_fiterr_2d->Draw("colz");
gain_KaKb_fiterr_2d->GetZaxis()->SetRangeUser(0,2);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_KaKb_fiterr_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
gain_diff_fit_2d->GetXaxis()->SetTitle("Column");
gain_diff_fit_2d->GetYaxis()->SetTitle("Row");
gain_diff_fit_2d->GetYaxis()->SetTitleOffset(0.7);
gain_diff_fit_2d->Draw("colz");
sprintf(savename,"%s diff [ADU]", gain_str.c_str());
pave->Clear();
pave->AddText((const char *)(savename));
pave->Draw();
gain_diff_fit_2d->GetZaxis()->SetRangeUser(-10,10);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_diff_fit_2d_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
mapcanvas->SaveAs((const char *)(savename));
c1->cd();
peak_Ka_fit_pos->GetXaxis()->SetTitle("Peak position [ADU]");
peak_Ka_fit_pos->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_Ka_fit_pos_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
peak_Ka_fit_poserr->GetXaxis()->SetTitle("Peak position uncert [ADU]");
peak_Ka_fit_poserr->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_Ka_fit_poserr_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
peak_KaKb_fit_pos->GetXaxis()->SetTitle("Peak position [ADU]");
peak_KaKb_fit_pos->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_KaKb_fit_pos_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
peak_KaKb_fit_poserr->GetXaxis()->SetTitle("Peak position uncert [ADU]");
peak_KaKb_fit_poserr->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/peak_KaKb_fit_poserr_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
noise_fit_pos->GetXaxis()->SetTitle("Noise position [ADU]");
noise_fit_pos->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/noise_fit_pos_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
noise_fit_poserr->GetXaxis()->SetTitle("Noise position uncert [ADU]");
noise_fit_poserr->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/noise_fit_poserr_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
sprintf(savename,"Gain %s [ADU / 8 keV]", gain_str.c_str());
gain_Ka_fit->GetXaxis()->SetTitle((const char *)(savename));
gain_Ka_fit->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_Ka_fit_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
gain_Ka_fit->GetXaxis()->SetRangeUser(low_ADU_peak+30, high_ADU_peak);
gain_Ka_fit->Fit("gaus");
gain_Ka_fit->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_Ka_fit_gaus = gain_Ka_fit->GetFunction("gaus");
sprintf(savename,"Mean %0.2f #pm %0.2f", gain_Ka_fit_gaus->GetParameter(1), gain_Ka_fit_gaus->GetParError(1));
pave2->AddText((const char *)(savename));
sprintf(savename,"Sigma %0.2f #pm %0.2f", gain_Ka_fit_gaus->GetParameter(2), gain_Ka_fit_gaus->GetParError(2));
pave2->AddText((const char *)(savename));
pave2->Draw();
gain_Ka_fit->SetStats(kFALSE);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_Ka_fit_fit_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
gain_Ka_fiterr->GetXaxis()->SetTitle("Gain uncert [ADU / 8 keV]");
gain_Ka_fiterr->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_Ka_fiterr_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
sprintf(savename,"Gain %s [ADU / 8 keV]", gain_str.c_str());
gain_KaKb_fit->GetXaxis()->SetTitle((const char *)(savename));
gain_KaKb_fit->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_KaKb_fit_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
gain_KaKb_fit->GetXaxis()->SetRangeUser(low_ADU_peak+30, high_ADU_peak);
gain_KaKb_fit->Fit("gaus");
gain_KaKb_fit->Draw();
c1->Update();
pave2->Clear();
TF1* gain_KaKb_fit_gaus = gain_KaKb_fit->GetFunction("gaus");
sprintf(savename,"Mean %0.2f #pm %0.2f", gain_KaKb_fit_gaus->GetParameter(1), gain_KaKb_fit_gaus->GetParError(1));
pave2->AddText((const char *)(savename));
sprintf(savename,"Sigma %0.2f #pm %0.2f", gain_KaKb_fit_gaus->GetParameter(2), gain_KaKb_fit_gaus->GetParError(2));
pave2->AddText((const char *)(savename));
pave2->Draw();
gain_KaKb_fit->SetStats(kFALSE);
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_KaKb_fit_fit_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
gain_KaKb_fiterr->GetXaxis()->SetTitle("Gain uncert [ADU / 8 keV]");
gain_KaKb_fiterr->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_KaKb_fiterr_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
sprintf(savename,"%s K_{#alpha} diff [ADU]", gain_str.c_str());
gain_diff_fit->GetXaxis()->SetTitle((const char *)(savename));
gain_diff_fit->Draw();
sprintf(savename,"plots/M%s/CuFluo_Ka_KaKb_Comp/%s/gain_diff_fit_%s_M%s.png",module_str.c_str(), gain_str.c_str(), gain_str.c_str(), module_str.c_str());
c1->SaveAs((const char *)(savename));
}
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