MainWindow::MainWindow()
{
outputLog = new QTextEdit(this);
outputLog->setReadOnly(true);
outputLog->append("MTG log \n-------\n");
//to be created a central widget
//setCentralWidget(new QWidget());
setCentralWidget(outputLog);
setWindowIcon(QIcon(":/images/MTG.png"));
//creating the menu titles
fileMenu = menuBar()->addMenu(tr("&File"));
//editMenu = menuBar()->addMenu(tr("&Edit"));
analyzerMenu = menuBar()->addMenu(tr("Analyzer"));
DMmenu = menuBar()->addMenu(tr("DataManager"));
MMmenu = menuBar()->addMenu(tr("MaskManager"));
viewMenu = menuBar()->addMenu(tr("&View"));
menuBar()->addSeparator();
helpMenu = menuBar()->addMenu(tr("&Help"));
// creating stuff
//warning: take care of the order you call these functions
createDockWindows();
createActions();
createMenus();
createToolBars();
createStatusBar();
QFile file(":/styles.qss");
file.open(QFile::ReadOnly);
QString styleSheet = QLatin1String(file.readAll());
qApp->setStyleSheet(styleSheet);
setWindowTitle(tr("Matrix Tool GUI"));
setIconSize(QSize(35,35));
desktop = qApp->desktop();
connect(desktop, SIGNAL(resized(int)), this, SLOT(centerMainWindowGeometry()));
//connect(dataManager, SIGNAL(plotHisto(QPair<matrixData*, QString>)), this, SLOT(raisePlotDock()));
connect(dataManager, SIGNAL(plotHisto(QPair<matrixData*, QString>)), plotWidget, SLOT(histoMatrix(QPair<matrixData*, QString>)));
//connect(dataManager, SIGNAL(inspectMatrixData(QPair<matrixData*, QString>)), this, SLOT(raiseEVDock()));
connect(dataManager, SIGNAL(inspectMatrixData(QPair<matrixData*, QString>)),eventViewer, SLOT(attachMatrixData(QPair<matrixData*, QString>)));
//raise the involved dock when action is triggered
connect(newDataSetAct, SIGNAL(triggered()), this, SLOT(raiseDMDock()));
connect(rmDataSetAct, SIGNAL(triggered()), this, SLOT(raiseDMDock()));
connect(rmAllDataSetAct, SIGNAL(triggered()), this, SLOT(raiseDMDock()));
connect(plotDataSetAct, SIGNAL(triggered()), this, SLOT(raiseDMDock()));
connect(plotDataSetAct, SIGNAL(triggered()), this, SLOT(raisePlotDock()));
connect(saveDataSetAct, SIGNAL(triggered()), this, SLOT(raiseDMDock()));
connect(inspectEventAct, SIGNAL(triggered()), this, SLOT(raiseDMDock()));
connect(inspectEventAct, SIGNAL(triggered()), this, SLOT(raiseEVDock()));
connect(renameDataSetAct, SIGNAL(triggered()), this, SLOT(raiseDMDock()));
//
connect(newMaskSetAct, SIGNAL(triggered()), this, SLOT(raiseMMDock()));
connect(printMaskAct, SIGNAL(triggered()), this, SLOT(raiseMMDock()));
connect(rmMaskSetAct, SIGNAL(triggered()), this, SLOT(raiseMMDock()));
connect(renameMaskSetAct, SIGNAL(triggered()), this, SLOT(raiseMMDock()));
connect(editMaskAct, SIGNAL(triggered()), this, SLOT(raiseMMDock()));
//raise the involved dock when made visible
connect(DMviewAct, SIGNAL(triggered()), this, SLOT(raiseDMDock()));
connect(MMviewAct, SIGNAL(triggered()), this, SLOT(raiseMMDock()));
connect(plotViewAct, SIGNAL(triggered()), this, SLOT(raisePlotDock()));
connect(EVviewAct, SIGNAL(triggered()), this, SLOT(raiseEVDock()));
//connect the log output signals
connect(dataManager, SIGNAL(outputLog(QString)), outputLog, SLOT(append(QString)));
connect(maskManager, SIGNAL(outputLog(QString)), outputLog, SLOT(append(QString)));
connect(plotWidget, SIGNAL(outputLog(QString)), outputLog, SLOT(append(QString)));
connect(eventViewer, SIGNAL(outputLog(QString)), outputLog, SLOT(append(QString)));
setUnifiedTitleAndToolBarOnMac(true);
}
void plotYield(int ele=1)
{
if (ele==1) {
TString fname="cs_DYee_13TeV_El3.root";
TH1D *h1Yield=loadHisto(fname,"h1Yield","h1Yield",h1dummy);
TH1D *h1Signal=loadHisto(fname,"h1Signal","h1Signal",h1dummy);
hsBlue.SetStyle(h1Yield);
h1Yield->SetMarkerStyle(5);
hsGreen.SetStyle(h1Signal);
h1Yield->GetYaxis()->SetRangeUser(1e-2,1e6);
h1Yield->GetYaxis()->SetTitleOffset(1.5);
logAxis(h1Yield,1,niceMassAxisLabel(0,"",0),"count","");
plotHisto(h1Yield,"cYield_EE",1,1,"LPE","yield");
plotHistoSame(h1Signal,"cYield_EE","LPE1","signal");
//printHisto(h1Yield);
//printHisto(h1Signal);
}
else if ((ele==0) || (ele==-1)) {
TString tag=(ele==0) ? "csA" : "csB";
TString fname="cs_DYmm_13TeVMuApproved_" + tag + ".root";
TH1D *h1Yield=loadHisto(fname,"h1Yield","h1Yield",h1dummy);
TH1D *h1Signal=loadHisto(fname,"h1Signal","h1Signal",h1dummy);
hsBlue.SetStyle(h1Yield);
h1Yield->SetMarkerStyle(5);
hsGreen.SetStyle(h1Signal);
h1Yield->GetYaxis()->SetRangeUser(1e-2,1e6);
h1Yield->GetYaxis()->SetTitleOffset(1.5);
logAxis(h1Yield,1,niceMassAxisLabel(1,"",0),"count","");
plotHisto(h1Yield,"cYield_MM_"+tag,1,1,"LPE","yield " + tag);
plotHistoSame(h1Signal,"cYield_MM_"+tag,"LPE1","signal " + tag);
}
}
void checkInputs()
{
TFile fin("/mnt/sdc/andriusj/DY13TeV/DYanalysis-20160817/ElectronNtupler/test/Analysis_Codes/AccEff/dyee_preFSR_forAccEff_v1steps.root");
TH1D *h1effPass_new= loadHisto(fin,"h1_eff_sumPass","h1effPass_new",1,h1dummy);
TH1D *h1effPass_chk= loadHisto(fin,"h1_eff_sumPass_chk","h1effPass_chk",1,h1dummy);
TH1D *h1effPass_noTrigNoPU= loadHisto(fin,"h1_eff_sumPass_noTrigNoPU","h1effPass_noTrigNoPU",1,h1dummy);
TH1D *h1effTot_new= loadHisto(fin, "h1_eff_sumTot", "h1effTot_new",1,h1dummy);
fin.Close();
if (!h1effPass_new || !h1effPass_chk || !h1effPass_noTrigNoPU || !h1effTot_new) return;
TFile fin2("/mnt/sdc/andriusj/DY13TeV/DYanalysis-20160817/ElectronNtupler/test/Analysis_Codes/AccEff/dyee_preFSR_forAccEff_v1.root");
TH1D *h1effPass_old= loadHisto(fin2,"h1_eff_sumPass","h1effPass_old",1,h1dummy);
TH1D *h1effTot_old= loadHisto(fin2,"h1_eff_sumTot","h1effTot_old",1,h1dummy);
fin2.Close();
if (!h1effPass_old || !h1effTot_old) return;
histoStyle(h1effPass_chk,kRed,5,1);
histoStyle(h1effPass_old,kBlue,7,1);
plotHisto(h1effPass_new,"cCheck",1,0,"LPE1","new effPass");
plotHistoSame(h1effPass_chk,"cCheck","LPE1","new effPass (control)");
printRatio(h1effPass_chk,h1effPass_new);
//plotHisto(h1effPass_noTrigNoPU,"cCmpOld",1,0,"LPE1","noTrigNoPU");
//plotHistoSame(h1effPass_old,"cCmpOld","LPE1","old effPass");
//printRatio(h1effPass_old,h1effPass_noTrigNoPU);
plotHisto(h1effTot_new,"cCmpTot",1,0,"LPE1","new effTot");
plotHistoSame(h1effTot_old,"cCmpTot","LPE1","old effTot");
printRatio(h1effTot_old,h1effTot_new);
}
void plotSteps()
{
//checkInputs(); return;
TFile fin("/mnt/sdc/andriusj/DY13TeV/DYanalysis-20160817/ElectronNtupler/test/Analysis_Codes/AccEff/dyee_preFSR_forAccEff_v1steps.root");
TH1D *h1effPass_new= loadHisto(fin,"h1_eff_sumPass","h1effPass_new",1,h1dummy);
TH1D *h1effPass_noPU= loadHisto(fin,"h1_eff_sumPass_noPU","h1effPass_noPU",1,h1dummy);
TH1D *h1effPass_noTrigObjMatching= loadHisto(fin,"h1_eff_sumPass_noTrigObjMatching","h1effPass_noTrigObjMatching",1,h1dummy);
TH1D *h1effPass_matchDR3= loadHisto(fin,"h1_eff_sumPass_matchDR3","h1effPass_matchDR3",1,h1dummy);
TH1D *h1effPass_noTrig= loadHisto(fin,"h1_eff_sumPass_noTrig","h1effPass_noTrig",1,h1dummy);
TH1D *h1effPass_noTrigNoPU= loadHisto(fin,"h1_eff_sumPass_noTrigNoPU","h1effPass_noTrigNoPU",1,h1dummy);
//TH1D *h1effTot_new= loadHisto(fin, "h1_eff_sumTot", "h1effTot_new",1,h1dummy);
fin.Close();
if (!h1effPass_new || !h1effPass_noPU || !h1effPass_noTrigObjMatching ||
!h1effPass_matchDR3 || !h1effPass_noTrig || !h1effPass_noTrigNoPU) {
std::cout << "null ptr\n";
return;
}
std::vector<TH1D*> h1InfoV;
std::vector<TString> infoLabelV;
histoStyle(h1effPass_noPU,kRed,5,1);
histoStyle(h1effPass_noTrig,kBlue,7,2);
histoStyle(h1effPass_matchDR3,kGreen+1,5,1);
histoStyle(h1effPass_noTrigObjMatching,kOrange,20,2);
std::cout << "\nwPU effect on new effPass distribution\n";
plotHisto(h1effPass_new,"cPUnew",1,0,"LPE1","new wPU");
plotHistoSame(h1effPass_noPU,"cPUnew","LPE1","new noPU");
printRatio(h1effPass_new,h1effPass_noPU);
addRatio(h1effPass_noPU,h1effPass_new,"no PU rew.",h1InfoV,infoLabelV);
std::cout << "\nwPU effect on old effPass distribution\n";
plotHisto(h1effPass_noTrig,"cPUold",1,0,"LPE1","old wPU");
plotHistoSame(h1effPass_noTrigNoPU,"cPUold","LPE1","old noPU");
printRatio(h1effPass_noTrig,h1effPass_noTrigNoPU);
std::cout << "\ntriggering\n";
plotHisto(h1effPass_new,"cTrig",1,0,"LPE1","new wPU");
plotHistoSame(h1effPass_noTrig,"cTrig","LPE1","no event trigger");
printRatio(h1effPass_new,h1effPass_noTrig);
addRatio(h1effPass_noTrig,h1effPass_new,"no trigger",h1InfoV,infoLabelV);
std::cout << "\ntrigger object matching\n";
plotHisto(h1effPass_new,"cTrigObjMatch",1,0,"LPE1","new wPU");
plotHistoSame(h1effPass_noTrigObjMatching,"cTrigObjMatch","LPE1","new, noTrigObjMatch");
printRatio(h1effPass_new,h1effPass_noTrigObjMatching);
addRatio(h1effPass_noTrigObjMatching,h1effPass_new,"no trig.obj.match.",h1InfoV,infoLabelV);
std::cout << "\nDR effect on new effPass distribution\n";
plotHisto(h1effPass_new,"cDR",1,0,"LPE1","new wPU, match DR1");
plotHistoSame(h1effPass_matchDR3,"cDR","LPE1","new wPU, match DR3");
printRatio(h1effPass_new,h1effPass_matchDR3);
addRatio(h1effPass_matchDR3,h1effPass_new,"#DeltaR<0.3",h1InfoV,infoLabelV);
//printLatex("effPassSteps.tex",h1InfoV,infoLabelV,1);
plotRatios(h1InfoV,infoLabelV);
}
void plotRatios(std::vector<TH1D*> &h1RatioV, const std::vector<TString> &labelV)
{
for (unsigned int ih=0; ih<h1RatioV.size(); ih++) {
removeError(h1RatioV[ih]);
h1RatioV[ih]->SetStats(0);
}
TH1D *h1=h1RatioV[0];
h1->SetTitle("Ratio of the modified selection to the new selection");
h1->SetTitleSize(24);
h1->GetXaxis()->SetNoExponent();
h1->GetXaxis()->SetMoreLogLabels();
h1->GetXaxis()->SetTitleSize(0.05);
h1->GetYaxis()->SetRangeUser(0.95,1.15);
h1->GetYaxis()->SetTitle("ratio");
h1->GetYaxis()->SetTitleSize(0.05);
h1->GetYaxis()->SetTitleOffset(1.38);
TString cName="cRatio";
TCanvas *c=plotHisto(h1RatioV[0],cName,1,0,"LP",labelV[0]);
gPad->SetGridx();
gPad->SetGridy();
for (unsigned int ih=1; ih<h1RatioV.size(); ih++) {
plotHistoSame(h1RatioV[ih],cName,"LP",labelV[ih]);
}
}
void analyseFitToystudiesB0(string filename, bool justTau = false)
{
fileprefix = "fitToyStudiesB0";
TTree *t = new TTree;
t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:core_frac:core_frac_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:prompt_sigma_core:prompt_sigma_core_err:prompt_sigma_tail:prompt_sigma_tail_err");
if (!justTau)
{
plotPulls(t, "tau_pulls", "#tau(B^{0})", "tau", 1.529, 100, 5.0);
plotPulls(t, "mass_pulls", "m(B^{0})", "mass_peak", 5.27950, 100, 5.0);
plotPulls(t, "tau_bk_pulls", "#tau_{bgr}(B^{0})", "tau_bk", 0.750, 100, 5.0);
plotPulls(t, "nsig_pulls", "n_{sig}", "n_signal", 6750, 100, 5.0);
plotPulls(t, "npr_pulls", "n_{prompt}", "n_prompt", 3375, 100, 10);
plotPulls(t, "nnpr_pulls", "n_{nonprompt}", "n_nonprompt", 1125, 100, 10);
}
plotHisto(t, "tau_histo", "#tau(B^{0})", "ps", "tau", 100, 1.30, 1.70);
if (!justTau)
{
plotHisto(t, "mass_histo", "m(B^{0})", "GeV", "mass_peak", 100, 5.2785, 5.281);
plotHisto(t, "tau_bk_histo", "#tau_{bgr}(B^{0})", "ps", "tau_bk", 100, 0.5, 0.9);
plotHisto(t, "nsig_histo", "n_{sig}", "", "n_signal", 100, 6500, 7000);
plotHisto(t, "npr_histo", "n_{prompt}", "", "n_prompt", 100, 2900, 3900);
plotHisto(t, "nnpr_histo", "n_{nonprompt}", "", "n_nonprompt", 100, 950, 1450);
}
}
void analyseFitToystudiesLb(string filename, bool justTau = false)
{
fileprefix = "fitToyStudiesLb";
TTree *t = new TTree;
//t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:core_frac:core_frac_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:prompt_sigma_core:prompt_sigma_core_err:prompt_sigma_tail:prompt_sigma_tail_err"); // alter Fit
//t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:core_frac:core_frac_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:prompt_sigma_core:prompt_sigma_core_err:prompt_sigma_tail:prompt_sigma_tail_err:npr_reso_sigma:npr_reso_sigma_err:sig_reso_sigma:sig_reso_sigma_err"); // Fit ohne PEE
//t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:reso_bias:reso_bias_err:reso_sigma:reso_sigma_err"); // Fit mit PEE 1 Gauss
t->ReadFile(filename.c_str(),"tau:tau_err:mass_peak:mass_peak_err:m_sigma1:m_sigma1_err:m_sigma2:m_sigma2_err:frac_m_gauss:frac_m_gauss_err:tau_bk:tau_bk_err:n_nonprompt:n_nonprompt_err:n_prompt:n_prompt_err:n_signal:n_signal_err:prompt_p1:prompt_p1_err:reso_bias:reso_bias_err:reso_sigma:reso_sigma_err:npr_reso_bias:npr_reso_bias_err:npr_reso_sigma:npr_reso_sigma_err:sig_reso_bias:sig_reso_bias_err:sig_reso_sigma:sig_reso_sigma_err"); // Fit mit PEE 3 Gauss
//t.Draw("tau>>htau");
//t->Draw("(tau-1.507)/tau_err>>htau_pulls(100,-5,5)");
if (!justTau)
{
const int Nevents = 5000;
const double bgrfrac = 0.8;
const double nonprfrac = 0.25;
const int Nsig = Nevents * (1-bgrfrac);
const int Npr = Nevents * bgrfrac * ( 1-nonprfrac);
const int Nnpr = Nevents * bgrfrac * nonprfrac;
plotPulls(t, "tau_pulls", "#tau(#Lambda_{b})", "tau", 1.507, 100, 5.0);
plotPulls(t, "mass_pulls", "m(#Lambda_{b})", "mass_peak", 5.6202, 100, 5.0);
plotPulls(t, "tau_bk_pulls", "#tau_{bgr}(#Lambda_{b})", "tau_bk", 0.750, 100, 5.0);
plotPulls(t, "nsig_pulls", "n_{sig}", "n_signal", Nsig, 100, 5.0);
plotPulls(t, "npr_pulls", "n_{prompt}", "n_prompt", Npr, 100, 10.0);
plotPulls(t, "nnpr_pulls", "n_{nonprompt}", "n_nonprompt", Nnpr, 100, 10.0);
}
plotHisto(t, "tau_histo", "#tau(#Lambda_{b})", "ps", "tau", 100, 1.30, 1.70);
if (!justTau)
{
plotHisto(t, "mass_histo", "m(#Lambda_{b})", "GeV", "mass_peak", 100, 5.615, 5.625);
plotHisto(t, "tau_bk_histo", "#tau_{bgr}(#Lambda_{b})", "ps", "tau_bk", 100, 0.5, 0.9);
plotHisto(t, "nsig_histo", "n_{sig}", "", "n_signal", 100, .8*Nsig, 1.2*Nsig);
plotHisto(t, "npr_histo", "n_{prompt}", "", "n_prompt", 100, .8*Npr, 1.2*Npr);
plotHisto(t, "nnpr_histo", "n_{nonprompt}", "", "n_nonprompt", 100, 0.8*Nnpr, 1.2*Nnpr);
}
}
int main(int argc, char *argv[])
{
int i,j,n;
FILE *inputfile,*outputfile;
// mwd parameters
int k; // integration time
int l = WINDOW_WIDTH; // l is fixed
int m; // decay constant
int min;
int max;
int chan;
double fwhm; // FWHM = 2.35 * sigma
double fwhm_min = 100000; // to keep track of the minimum FWHM
int k_min; // to keep track of the k param for which fwhm is minimized
int m_min; // to keep track of the m param for which fwhm is minimized
int num_waveforms;
int good_waveforms = 0;
double p[NUM_PARAMS];
double *histData = NULL;
double peakData[2*GAUSSIAN_PEAK_WIDTH+1];
int peak_centre, peak_start;
double peak_amp;
/* Read in waveform data from input file*/
if ((inputfile = fopen(argv[1],"r")) == NULL)
{
fprintf(stdout, "Input file does not exist.\n");
}
else
{
// check if output file already exists
if ((outputfile = fopen(argv[2],"wx")) == NULL)
{
fprintf(stdout, "Could not open output file or file already exists.\n");
}
else
{
fclose(outputfile);
// count the total number of waveforms in file
char c;
long total_waveforms;
long lines;
while ((c=getc(inputfile)) != EOF)
{
if (c=='\n')
{
lines++;
}
}
total_waveforms = (long) (lines/NUM_SAMPLES*1.0 + 0.5);
num_waveforms = MIN(MAX_WAVEFORMS, total_waveforms);
for (k=K_MIN;k<=K_MAX;k+=K_STEP)
{
outputfile = fopen(argv[2],"a");
fprintf(outputfile, "\n");
for (m=M_MIN;m<=M_MAX;m+=M_STEP)
{
printf("k = %d, m = %d\n", k, m);
good_waveforms = 0;
fseek(inputfile, 0, SEEK_SET);
for (i=0;i<num_waveforms;i++)
{
for (j=0;j<NUM_SAMPLES;j++)
{
fscanf(inputfile, "%f\n", &v[j]);
}
// filter waveform with MWD and evaluate pulse height
differenceFilterFloat(l, v, y);
deconvolutionFilterFloat(l, m, y, y);
pulseHeights[i] = (int) (pulseHeightFloat(y, k) + 0.5);
//plotLine(v, NUM_SAMPLES, 0);
// plotLine(y, NUM_SAMPLES, 0);
}
/* Plot Energy Spectrum */
// Find minimum and maximum pulse heights
max = 0;
min = 100000;
for (i=0;i<num_waveforms;i++)
{
if (pulseHeights[i] > max)
{
max = pulseHeights[i];
}
}
for (i=0;i<num_waveforms;i++)
{
if (pulseHeights[i] > 0 && pulseHeights[i] < min)
{
min = pulseHeights[i];
}
}
histData = (double*)calloc(max+1, sizeof(double));
for (i=0;i<num_waveforms;i++)
{
if (pulseHeights[i] > 0)
{
good_waveforms++;
chan = pulseHeights[i];
histData[chan] += 1.0;
}
}
plotHisto(histData, max, 0, 1500);
/* Fit peak to find FWHM */
// we only want to fit the peak, not the whole spectrum
// find the peak we want to fit
peak_start = peakFind(histData, max, PEAK_NUM, 300, 50);
peak_amp = 0;
for (i=peak_start;i<peak_start+GAUSSIAN_PEAK_WIDTH+1;i++)
{
if (histData[i] > peak_amp)
{
peak_amp = histData[i];
peak_centre = i;
}
}
free(histData);
for (i=0;i<GAUSSIAN_PEAK_WIDTH*2+1;i++)
{
peakData[i] = histData[(peak_centre-GAUSSIAN_PEAK_WIDTH)+i];
}
p[0] = peak_amp*5.5;
p[1] = GAUSSIAN_PEAK_WIDTH;
p[2] = 0.5;
fitData(peakData, GAUSSIAN_PEAK_WIDTH*2+1, p, 0, 0);
// calculate the fwhm from fit parameters and keep track of the minimum value
if (2.35*p[2]<fwhm_min)
{
fwhm_min = 2.35*p[2];
k_min = k;
m_min = m;
}
fprintf(outputfile, "%d\t%d\t%g\n", k, m, 2.35*p[2]*PEAK_ENERGY/(p[1]-GAUSSIAN_PEAK_WIDTH+peak_centre));
printf("Processed %d waveforms, %d counts in spectrum\n", num_waveforms, good_waveforms);
}
fclose(outputfile);
}
fclose(inputfile);
//print summary to screen
printf("Finished processing file %s\n", argv[1]);
printf("Mminimum energy resolution: %g channels and %g keV at k = %d and m = %d\n", fwhm_min, fwhm_min*PEAK_ENERGY/(p[1]-GAUSSIAN_PEAK_WIDTH+peak_centre), k_min, m_min);
}
}
return 0;
}
void work(TVersion_t inpVer,
CrossSection_t &eeCS, TVaried_t var, int nSample, int doSave)
{
std::vector<TH1D*> rndCSVec;
int res=1;
int removeNegativeSignal=1;
if ((var!=_varRhoFile) && (var!=_varRhoSystFile) &&(var!=_varRhoSystFileSymm))
res=eeCS.sampleRndVec(var,nSample,removeNegativeSignal,rndCSVec);
else if (var==_varRhoFile) {
TString inpVerTag=versionName(inpVer);
TString loadFName=Form("dir-Rho%s/dyee_rhoRndVec_%s_%d.root",
inpVerTag.Data(),inpVerTag.Data(),
nSample);
RndVecInfo_t info(loadFName,"h1rho_var");
res=eeCS.sampleRndVec(var,nSample,info,removeNegativeSignal, rndCSVec);
}
else if (var==_varRhoSystFile) {
TString inpVerTag=versionName(inpVer);
TString loadFName=Form("dir-RhoSyst%s/dyee_rhoRndSystVec_%s_%d.root",
inpVerTag.Data(),inpVerTag.Data(),
nSample);
RndVecInfo_t info(loadFName,"rhoRndSyst/h1rho_rnd");
res=eeCS.sampleRndVec(var,nSample,info,removeNegativeSignal, rndCSVec);
}
else if (var==_varRhoSystFileSymm) {
TString inpVerTag=versionName(inpVer);
TString loadFName=Form("dir-RhoSystSymm-%s/dyee_rhoRndSystVec_%s_%d.root",
inpVerTag.Data(),inpVerTag.Data(),
nSample);
RndVecInfo_t info(loadFName,"rhoRndSyst/h1rho_rnd");
res=eeCS.sampleRndVec(var,nSample,info,removeNegativeSignal, rndCSVec);
}
else {
std::cout << "code error: this branch should not be reached\n";
res=0;
}
if (!res) return;
TH1D* h1Avg=NULL;
TH2D* h2Cov=NULL;
if (!eeCS.deriveCov(rndCSVec,&h1Avg,&h2Cov)) return;
TString massLabel= niceMassAxisLabel(leptonIdx(inpVer),"",0);
h2Cov->GetXaxis()->SetTitle(massLabel);
h2Cov->GetYaxis()->SetTitle(massLabel);
h2Cov->SetTitle("h2cov " + variedVarName(var));
PlotCovCorrOpt_t ccOpt;
ccOpt.yTitleOffset=1.8;
TCanvas *c= eeCS.plotCrossSection("cs");
if (!c) return;
h1Avg->SetLineColor(kGreen+1);
h1Avg->SetMarkerColor(kGreen+1);
plotHistoSame(h1Avg,"cs","LPE","rnd avg");
printRatio(eeCS.h1PreFsrCS(), h1Avg);
TH2D* h2Corr=NULL;
TCanvas *cx= plotCovCorr(h2Cov,"ccov",ccOpt,&h2Corr);
if (!cx) std::cout << "cx is null\n";
TH1D *h1uncFromCov= uncFromCov(h2Cov);
TH1D *h1relUncFromCov= uncFromCov(h2Cov,eeCS.h1PreFsrCS());
if (!doSave) {
std::cout << "Comparing uncertainty from covariance to the uncertainty "
<< "in the provided cross-section\n";
std::cout << "Expectation is that the covariance uncertainties will not "
<< "exceed those from the cross-section\n";
TH1D *h1CSUnc= errorAsCentral(eeCS.h1PreFsrCS(),0);
TH1D *h1CSRelUnc= errorAsCentral(eeCS.h1PreFsrCS(),1);
histoStyle(h1CSUnc,kBlue,24);
histoStyle(h1CSRelUnc,kBlue,24);
plotHisto(h1uncFromCov,"cUncCmp",1,1,"hist","uncFromCov");
plotHistoSame(h1CSUnc,"cUncCmp","P","csUnc");
plotHisto(h1relUncFromCov,"cRelUncCmp",1,1,"hist","rel.unc.from.cov");
plotHistoSame(h1CSRelUnc,"cRelUncCmp","P","cs.rel.unc");
}
if (doSave) {
TString fname="cov_ee_" + versionName(inpVer) + "_" +
variedVarName(var) + Form("_%d.root",nSample);
if ((inpVer==_verEl3mb41) || (inpVer==_verEl3mb42)) {
fname.ReplaceAll("ee_",Form("ee%d_",DYtools::nMassBins));
}
if (doSave==2) fname.ReplaceAll(".root","_slim.root");
if (var==_varFSRRes_Poisson) fname.ReplaceAll(".root","-Poisson.root");
TFile fout(fname,"RECREATE");
if (!fout.IsOpen()) {
std::cout << "file <" << fname << "> could not be created\n";
return;
}
std::vector<TString> dirs;
std::vector<std::vector<TH1D*>*> hVs;
if (doSave!=2) {
dirs.push_back("rnd_CStot");
hVs.push_back(&rndCSVec);
}
for (unsigned int iDir=0; iDir<dirs.size(); iDir++) {
std::vector<TH1D*> *hV= hVs[iDir];
if (hV->size()) {
fout.mkdir(dirs[iDir]);
fout.cd(dirs[iDir]);
for (unsigned int ih=0; ih<hV->size(); ih++) {
hV->at(ih)->Write();
}
fout.cd("");
}
}
if (eeCS.h1PreFsrCS()) eeCS.h1PreFsrCS()->Write("xsec");
if (eeCS.h1Theory()) eeCS.h1Theory()->Write("xsec_RC");
if (h1Avg) h1Avg->Write("h1xsecAvg");
if (h2Cov) h2Cov->Write("h2Cov");
if (h2Corr) h2Corr->Write("h2Corr");
if (h1uncFromCov) h1uncFromCov->Write("h1uncFromCov");
if (h1relUncFromCov) h1relUncFromCov->Write("h1relUncFromCov");
if (c) c->Write();
if (cx) cx->Write();
std::vector<TCanvas*> canvV;
TString canvList;
if (doSave==2) canvList="";
canvList+=" cVaried_" + variedVarName(var) + "_" + versionName(inpVer);
std::cout << "canvList=" << canvList << "\n";
if (canvList.Length() && findCanvases(canvList,canvV)) {
for (unsigned int ic=0; ic<canvV.size(); ic++) {
canvV[ic]->Write();
}
}
TObjString timeTag(DayAndTimeTag(0));
timeTag.Write("timeTag");
fout.Close();
std::cout << "file <" << fout.GetName() << "> created\n";
}
}
void createSystFile(TVersion_t inpVer,
CrossSection_t &eeCS, TVaried_t var, int doSave)
{
std::cout << "createSystFile for inpVer=" << versionName(inpVer) << "\n";
if (var!=_varRhoSyst) {
std::cout << "createSystFile is not ready for var="
<< variedVarName(var) << "\n";
return;
}
TCanvas *c= eeCS.plotCrossSection("cs");
c->Update();
TH1D *h1cs_file= cloneHisto(eeCS.h1PreFsrCS(),"h1cs_file","h1cs_file");
std::vector<TH1D*> h1RhoV;
TString fname="dyee-rho-syst2.root";
TFile fin(fname);
if (!fin.IsOpen()) {
std::cout << "failed to open the file <" << fin.GetName() << ">\n";
return;
}
for (TTnPSystType_t syst= _tnpSyst_none; syst!=_tnpSyst_last; next(syst)) {
TString hname="h1rho_";
if (syst==_tnpSyst_none) hname.Append("stat");
else hname.Append(tnpSystName(syst,1));
TString newHName=hname;
if (syst==_tnpSyst_none) newHName.ReplaceAll("stat","orig");
TH1D *h1= loadHisto(fin,hname,newHName,1,h1dummy);
h1RhoV.push_back(h1);
}
fin.Close();
TCanvas *cRho=NULL;
if (1) {
//plotHisto(eeCS.h1Rho(),"cRho",1,0,"LPE","cs version");
h1RhoV[0]->GetYaxis()->SetTitleOffset(1.6);
logAxis(h1RhoV[0],1,"M_{ee} [GeV]","","\\langle\\rho\\rangle\\text{ with alt.effs}");
cRho=plotHisto(h1RhoV[0],"cRho",1,0,"LP","orig");
setLeftRightMargins(cRho,0.14,0.05);
for (unsigned int i=1; i<h1RhoV.size(); i++) {
TString legStr=h1RhoV[i]->GetName();
legStr.ReplaceAll("h1rho_","");
plotHistoSame(h1RhoV[i],"cRho","LP",legStr);
}
moveLegend(cRho,0.45,0);
}
std::vector<TH1D*> h1rhoRelDiffV;
int absValues=1;
int relativeDiff=1;
deriveRelSyst(NULL,h1RhoV,h1rhoRelDiffV,relativeDiff,absValues);
if (0) {
std::cout << " : " << h1RhoV.size() << ", " << h1rhoRelDiffV.size() << "\n";
for (unsigned int i=0; i<h1rhoRelDiffV.size(); i++) {
printRatio(h1RhoV[0], h1RhoV[i+1]);
printHisto(h1rhoRelDiffV[i]);
}
return;
}
TCanvas *cRhoSyst=NULL;
if (1) {
TString title="uncertainty";
if (relativeDiff) title.Prepend("relative ");
//h1rhoRelDiffV[0]->SetTitle(title);
h1rhoRelDiffV[0]->GetYaxis()->SetRangeUser(0,0.12);
h1rhoRelDiffV[0]->GetYaxis()->SetTitleOffset(1.6);
TString ytitle="\\delta\\langle\\rho\\rangle";
if (relativeDiff) ytitle= "(" + ytitle + ")_{rel}";
//h1rhoRelDiffV[0]->GetYaxis()->SetTitle(ytitle);
logAxis(h1rhoRelDiffV[0],3,"M_{ee} [GeV]",ytitle,title);
cRhoSyst=plotHisto(h1rhoRelDiffV[0],"cRhoRelDiff",1,0,"LP",
tnpSystName(TTnPSystType_t(1),1));
setLeftRightMargins(cRhoSyst,0.14,0.05);
for (TTnPSystType_t syst=TTnPSystType_t(2); syst!=_tnpSyst_last; next(syst))
{
plotHistoSame(h1rhoRelDiffV[syst-1],"cRhoRelDiff","LP",tnpSystName(syst,1));
}
moveLegend(cRhoSyst,0.45,0.47);
}
std::vector<TH1D*> h1csV;
eeCS.var(_varRho);
for (unsigned int i=0; i<h1RhoV.size(); i++) {
eeCS.h1Rho(h1RhoV[i]);
TString hname="h1cs_" + tnpSystName(TTnPSystType_t(i));
TH1D *h1cs= cloneHisto(eeCS.calcCrossSection(0),hname,hname);
copyStyle(h1cs,h1RhoV[i]);
h1csV.push_back(h1cs);
}
std::cout << "h1csV.size=" << h1csV.size() << "\n";
if (1) {
TCanvas *cRhoCS= plotHisto(h1cs_file,"cRhoCS",1,1,"LP","cs_file");
for (unsigned int i=0; i<h1csV.size(); i++) {
plotHistoSame(h1csV[i],"cRhoCS","LP",h1csV[i]->GetName());
}
cRhoCS->Update();
}
std::vector<TH1D*> h1csRelDiffV;
deriveRelSyst(NULL,h1csV,h1csRelDiffV,relativeDiff,absValues);
TCanvas *cCSRhoUnc=NULL;
if (1) {
logAxis(h1csRelDiffV[0],3,"M_{ee} [GeV]",
"(\\delta\\sigma)_{\\langle\\rho\\rangle\\,syst;rel}",
"relative uncertainty of the cross section");
h1csRelDiffV[0]->GetYaxis()->SetRangeUser(0,0.15);
h1csRelDiffV[0]->GetYaxis()->SetTitleOffset(1.6);
cCSRhoUnc= plotHisto(h1csRelDiffV[0],"cCSRhoUnc",1,0,"LP",
tnpSystName(TTnPSystType_t(1),1));
setLeftRightMargins(cCSRhoUnc,0.14,0.05);
for (TTnPSystType_t syst=TTnPSystType_t(2); syst!=_tnpSyst_last; next(syst))
{
plotHistoSame(h1csRelDiffV[syst-1],"cCSRhoUnc","LP",tnpSystName(syst,1));
}
moveLegend(cCSRhoUnc,0.45,0.47);
}
if (1) {
for (unsigned int i=0; i<h1csRelDiffV.size(); i++) {
std::cout << "\n\ni=" << i << "\n";
printRatio(h1csRelDiffV[i],h1rhoRelDiffV[i]);
}
}
if (doSave) {
TString fname="dyeeCS-rhoSyst2.root";
TFile fout(fname,"RECREATE");
if (!fout.IsOpen()) {
std::cout << "failed to create a file <" << fout.GetName() << ">\n";
return;
}
for (unsigned int ih=0; ih<h1RhoV.size(); ih++) {
h1RhoV[ih]->Write();
}
for (unsigned int ih=0; ih<h1rhoRelDiffV.size(); ih++) {
h1rhoRelDiffV[ih]->Write();
}
for (unsigned int ih=0; ih<h1csRelDiffV.size(); ih++) {
h1csRelDiffV[ih]->Write();
}
if (cRho) cRho->Write();
if (cRhoSyst) cRhoSyst->Write();
if (cCSRhoUnc) cCSRhoUnc->Write();
TObjString timeTag(DayAndTimeTag(0));
timeTag.Write("timeTag");
fout.Close();
std::cout << "file <" << fout.GetName() << "> created\n";
}
return;
}
void processDYmm(Int_t maxEntries=-1)
{
std::cout << "DY range=" << DYtools::minMass << " .. " << DYtools::maxMass << "\n";
TVersion_t inpVersion=_verMu1;
inpVersion=_verMu76X;
inpVersion=_verMuApproved;
if (inpVersion!=_verMu1) {
if (DYtools::nMassBins!=DYtools::nMassBins43) {
std::cout << "a potential DYbinning.h problem\n";
return;
}
}
TString srcPath="/media/ssd/v20160214_1st_CovarianceMatrixInputs/";
srcPath="/mnt/sdb/andriusj/v20160214_1st_CovarianceMatrixInputs/";
TString dataFName=srcPath + "Input3/ROOTFile_ntuple_CovarianceMatrixInput.root";
if (inpVersion==_verMu76X) {
srcPath="/mnt/sdb/andriusj/v20160527_1st_CovarianceMatrixInputs_76X/";
dataFName=srcPath + "Input3/ROOTFile_Input_CovarianceMatrix.root";
}
else if (inpVersion==_verMuApproved) {
srcPath="/mnt/sdb/andriusj/v20160915_CovInput_ApprovedResults/";
dataFName=srcPath + "ROOTFile_Input_CovarianceMatrix.root";
}
DYmm13TeV_t data(dataFName);
data.DeactivateBranches();
data.ActivateBranches("Momentum_postFSR_Lead Momentum_postFSR_Sub Momentum_preFSR_Lead Momentum_preFSR_Sub Weight_Norm Weight_Gen Weight_PU");
data.ActivateBranches("Flag_EventSelection");
TH1D *h1postFsrInAccSel_M= new TH1D("h1_postFsrInAccSel_M", "postFSR selected events in acceptance;M_{gen,postFSR} [GeV];count",DYtools::nMassBins,DYtools::massBinEdges);
TH1D *h1postFsrInAccSel_MW= new TH1D("h1_postFsrInAccSel_MW", "postFSR selected events in acceptance (weighted);M_{gen,postFSR} [GeV];weighted count",DYtools::nMassBins,DYtools::massBinEdges);
TH1D *h1postFsrInAccSel_MWPU= new TH1D("h1_postFsrInAccSel_MWPU", "postFSR selected events in acceptance (weighted wPU);M_{gen,postFSR} [GeV];weighted (wPU) count",DYtools::nMassBins,DYtools::massBinEdges);
TH1D *h1postFsrInAcc_M= new TH1D("h1_postFsrInAcc_M", "postFSR in acceptace;M_{gen,postFSR} [GeV];count",DYtools::nMassBins,
DYtools::massBinEdges);
TH1D *h1postFsrInAcc_MW= new TH1D("h1_postFsrInAcc_Mweighted", "postFSR in acceptance;M_{gen,postFSR} [GeV];weighted count", DYtools::nMassBins,
DYtools::massBinEdges);
TH1D *h1postFsrInAcc_MWPU= new TH1D("h1_postFsrInAcc_MweightedPU", "postFSR in acceptance (weighted wPU);M_{gen,postFSR} [GeV];weighted (wPU) count", DYtools::nMassBins,
DYtools::massBinEdges);
TH1D *h1postFsr_M= new TH1D("h1_postFsr_M", "postFSR;M_{gen,postFSR} [GeV];count",DYtools::nMassBins,
DYtools::massBinEdges);
TH1D *h1postFsr_MW= new TH1D("h1_postFsr_Mweighted", "postFSR;M_{gen,postFSR} [GeV];weighted count", DYtools::nMassBins,
DYtools::massBinEdges);
TH1D *h1preFsr_M= new TH1D("h1_preFsr_M", "preFSR;M_{gen,preFSR} [GeV];count",DYtools::nMassBins,
DYtools::massBinEdges);
TH1D *h1preFsr_MW= new TH1D("h1_preFsr_Mweighted", "preFSR;M_{gen,preFSR} [GeV];weighted count", DYtools::nMassBins,
DYtools::massBinEdges);
prepareHisto(h1postFsrInAccSel_M);
prepareHisto(h1postFsrInAccSel_MW);
prepareHisto(h1postFsrInAccSel_MWPU);
prepareHisto(h1postFsrInAcc_M);
prepareHisto(h1postFsrInAcc_MW);
prepareHisto(h1postFsrInAcc_MWPU);
prepareHisto(h1postFsr_M);
prepareHisto(h1postFsr_MW);
prepareHisto(h1preFsr_M);
prepareHisto(h1preFsr_MW);
TH2D* h2FSRmig= new TH2D("h2FSRmig","FSR migration", DYtools::nMassBins, DYtools::massBinEdges, DYtools::nMassBins, DYtools::massBinEdges);
h2FSRmig->Sumw2();
RooUnfoldResponse fsrResp(h1postFsr_MW,h1preFsr_MW,h2FSRmig,"rooUnf_fsrResp","fsrResp;M_{#mu#mu} [GeV];FSR unfolded yield");
fsrResp.UseOverflow();
TH2D* h2effAccFSRmig= new TH2D("h2effAccFSRmig","eff x Acc x FSR migration", DYtools::nMassBins, DYtools::massBinEdges, DYtools::nMassBins, DYtools::massBinEdges);
h2effAccFSRmig->Sumw2();
RooUnfoldResponse effAccFsrResp(h1postFsrInAccSel_MW,h1preFsr_MW,h2effAccFSRmig,"rooUnf_effAccFsrResp","effAccFsrResp;M_{#mu#mu} [GeV];eff Acc FSR unfolded yield");
effAccFsrResp.UseOverflow();
UInt_t nEvents= data.GetEntries();
std::cout << "process data\n";
for (UInt_t iEntry=0; iEntry<nEvents; iEntry++) {
if (data.GetEntry(iEntry)<0) break;
if (iEntry%100000==0) std::cout << "iEntry=" << iEntry << Form("(%4.2lf%%)\n",iEntry*100/double(nEvents));
if ((maxEntries>0) && (iEntry>UInt_t(maxEntries))) {
std::cout << "debug run\n";
break;
}
double w= data.Weight_Norm * data.Weight_Gen;
if (iEntry<100) std::cout << "w=" << w << ": weight_norm=" << data.Weight_Norm << ", gen=" << data.Weight_Gen << "\n";
double mPostFsr= (*data.Momentum_postFSR_Lead + *data.Momentum_postFSR_Sub).M();
double mPreFsr= (*data.Momentum_preFSR_Lead + *data.Momentum_preFSR_Sub).M();
if (DYtools::InAcceptance_mm(data.Momentum_postFSR_Lead,data.Momentum_postFSR_Sub)) {
if (data.Flag_EventSelection) {
h1postFsrInAccSel_M->Fill( mPostFsr, 1. );
h1postFsrInAccSel_MW->Fill( mPostFsr, w );
h1postFsrInAccSel_MWPU->Fill( mPostFsr, w * data.Weight_PU );
}
h1postFsrInAcc_M->Fill( mPostFsr, 1. );
h1postFsrInAcc_MW->Fill( mPostFsr, w );
h1postFsrInAcc_MWPU->Fill( mPostFsr, w * data.Weight_PU );
}
h1postFsr_M->Fill( mPostFsr, 1. );
h1postFsr_MW->Fill( mPostFsr, w );
h1preFsr_M->Fill( mPreFsr, 1. );
h1preFsr_MW->Fill( mPreFsr, w );
h2FSRmig->Fill( mPostFsr, mPreFsr, w );
if (0) {
if ( ! DYtools::InsideMassRange(mPreFsr) )
std::cout << "preFSR mass " << mPreFsr << ", postFSR mass " << mPostFsr << "\n";
}
if ( ! DYtools::InsideMassRange(mPreFsr) &&
DYtools::InsideMassRange(mPostFsr) ) {
std::cout << "fake detected\n";
fsrResp.Fake(mPostFsr,w);
}
else if ( DYtools::InsideMassRange(mPreFsr) &&
! DYtools::InsideMassRange(mPostFsr) ) {
fsrResp.Miss(mPreFsr,w);
}
else {
fsrResp.Fill(mPostFsr,mPreFsr,w);
}
int sel=(DYtools::InAcceptance_mm(data.Momentum_postFSR_Lead,data.Momentum_postFSR_Sub) && data.Flag_EventSelection && DYtools::InsideMassRange(mPostFsr)) ? 1:0;
if (sel) h2effAccFSRmig->Fill(mPostFsr,mPreFsr,w);
if ( ! DYtools::InsideMassRange(mPreFsr) && sel ) {
effAccFsrResp.Fake(mPostFsr,w);
}
else if ( DYtools::InsideMassRange(mPreFsr) && ! sel ) {
effAccFsrResp.Miss(mPreFsr,w);
}
else {
effAccFsrResp.Fill(mPostFsr,mPreFsr,w);
}
}
RooUnfoldBayes bayesFSR( &fsrResp, h1postFsr_MW, 4 );
TH1D *h1preFsrUnf= (TH1D*) bayesFSR.Hreco()->Clone("h1preFsrUnf");
h1preFsrUnf->SetTitle("unfolded postFSR->preFSR");
h1preFsrUnf->SetDirectory(0);
histoStyle(h1preFsrUnf,kRed,24);
h1preFsrUnf->GetXaxis()->SetMoreLogLabels();
h1preFsrUnf->GetXaxis()->SetNoExponent();
TCanvas *cFSRTest=plotHisto(h1preFsrUnf,"cFSRTest",1,1,"LPE1");
plotHistoSame(h1preFsr_MW,"cFSRTest","LPE");
RooUnfoldBayes bayesEffAccFsr( &effAccFsrResp, h1postFsrInAccSel_MW, 4 );
TH1D *h1EffAccFsrUnf= (TH1D*) bayesEffAccFsr.Hreco()->Clone("h1EffAccFsrUnf");
h1EffAccFsrUnf->SetTitle("unfolded postFsrInAccSel -> preFSR");
h1EffAccFsrUnf->SetDirectory(0);
histoStyle(h1EffAccFsrUnf,kRed,24);
h1EffAccFsrUnf->GetXaxis()->SetMoreLogLabels();
h1EffAccFsrUnf->GetXaxis()->SetNoExponent();
TCanvas *cScaleToPreFsrTest= plotHisto(h1EffAccFsrUnf,"cScaleToPreFsrTest",1,1,"LPE1");
histoStyle(h1preFsr_MW,kBlue,5);
plotHistoSame(h1preFsr_MW,"cScaleToPreFsrTest","LPE");
TH1D* h1Eff=(TH1D*)h1postFsrInAccSel_MW->Clone("h1Eff");
h1Eff->SetDirectory(0);
if (!h1Eff->GetSumw2()) h1Eff->Sumw2();
h1Eff->SetTitle("Efficiency;M_{#mu#mu,GEN postFSR} [GeV];postFSR_inAcc_Sel/postFSR_inAcc");
h1Eff->Divide(h1postFsrInAccSel_MW,h1postFsrInAcc_MW,1,1,"B");
TH1D* h1EffPU=(TH1D*)h1postFsrInAccSel_MWPU->Clone("h1EffPU");
h1EffPU->SetDirectory(0);
if (!h1EffPU->GetSumw2()) h1EffPU->Sumw2();
h1EffPU->SetTitle("Efficiency (wPU);M_{#mu#mu,GEN postFSR} [GeV];postFSR_inAcc_Sel(wPU)/postFSR_inAcc(wPU)");
h1EffPU->Divide(h1postFsrInAccSel_MWPU,h1postFsrInAcc_MWPU,1,1,"B");
histoStyle(h1EffPU,kBlue,24);
TCanvas *cEffCmp=plotHisto(h1Eff,"cEff_noPU_vs_wPU",1,0,"LPE1");
plotHistoSame(h1EffPU,"cEff_noPU_vs_wPU","LPE");
TH1D* h1Acc=(TH1D*)h1postFsrInAcc_MW->Clone("h1Acc");
h1Acc->SetDirectory(0);
if (!h1Acc->GetSumw2()) h1Acc->Sumw2();
h1Acc->SetTitle("Acceptance;M_{#mu#mu,GEN postFSR} [GeV];postFSR_inAcc/postFSR");
h1Acc->Divide(h1postFsrInAcc_MW,h1postFsr_MW,1,1,"B");
TH1D* h1EffPUAcc=(TH1D*)h1postFsrInAccSel_MWPU->Clone("h1EffPUAcc");
h1EffPUAcc->SetDirectory(0);
if (!h1EffPUAcc->GetSumw2()) h1EffPUAcc->Sumw2();
h1EffPUAcc->SetTitle("Efficiency(wPU) x Acc;M_{#mu#mu,GEN postFSR} [GeV];postFSR_inAccSel(wPU)/h1postFsr_MW(noPU)");
h1EffPUAcc->Divide(h1postFsrInAccSel_MWPU,h1postFsr_MW,1,1,"B");
TH1D *h1FSRCorr_binByBin=(TH1D*)h1preFsr_MW->Clone("h1FSRCorr_binByBin");
h1FSRCorr_binByBin->SetDirectory(0);
if (!h1FSRCorr_binByBin->GetSumw2()) h1FSRCorr_binByBin->Sumw2();
h1FSRCorr_binByBin->SetTitle("FSR correction bin-by-bin;M_{#mu#mu} [GeV];preFSR/postFSR");
h1FSRCorr_binByBin->Divide(h1preFsr_MW,h1postFsr_MW,1.,1.,"B");
TString fname="dymm_test_" + versionName(inpVersion) + TString(".root");
if (maxEntries>0) fname.ReplaceAll(".root","_debug.root");
TFile fout(fname,"RECREATE");
h1Eff->Write();
h1EffPU->Write();
h1Acc->Write();
h1EffPUAcc->Write();
h1FSRCorr_binByBin->Write();
fsrResp.Write();
effAccFsrResp.Write();
h1postFsrInAccSel_M->Write();
h1postFsrInAccSel_MW->Write();
h1postFsrInAcc_M->Write();
h1postFsrInAcc_MW->Write();
h1postFsr_M->Write();
h1postFsr_MW->Write();
h1preFsr_M->Write();
h1preFsr_MW->Write();
h1preFsrUnf->Write();
h2FSRmig->Write();
h1EffAccFsrUnf->Write();
h2effAccFSRmig->Write();
cEffCmp->Write();
cFSRTest->Write();
cScaleToPreFsrTest->Write();
TObjString timeTag(DayAndTimeTag(0));
timeTag.Write("timeTag");
fout.Close();
std::cout << "file <" << fout.GetName() << "> created\n";
}
