void FirstContour()
{
TString dir = gSystem->UnixPathName(__FILE__);
dir.ReplaceAll("FirstContour.C","../hsimple.C");
dir.ReplaceAll("/./","/");
if (!gInterpreter->IsLoaded(dir.Data())) gInterpreter->LoadMacro(dir.Data());
TFile *file = (TFile*)gROOT->ProcessLineFast("hsimple(1)");
if (!file) return;
TTree *ntuple = (TTree*)file->Get("ntuple");
TCanvas *c1 = new TCanvas("c1","Contours",10,10,800,600);
gStyle->SetPalette(1);
ntuple->Draw("py:px","px*px+py*py < 20", "contz,list");
//we must call Update to force the canvas to be painted. When
//painting the contour plot, the list of contours is generated
//and a reference to it added to the Root list of special objects
c1->Update();
TCanvas *c2 = new TCanvas("c2","First contour",100,100,800,600);
TObjArray *contours =
(TObjArray*)gROOT->GetListOfSpecials()->FindObject("contours");
if (!contours) return;
TList *lcontour1 = (TList*)contours->At(0);
if (!lcontour1) return;
TGraph *gc1 = (TGraph*)lcontour1->First();
if (!gc1) return;
if (gc1->GetN() < 10) return;
gc1->SetMarkerStyle(21);
gc1->Draw("alp");
//We make a TCutG object with the array obtained from this graph
TCutG *cutg = new TCutG("cutg",gc1->GetN(),gc1->GetX(),gc1->GetY());
//We create a polymarker object with npmax points.
const Int_t npmax = 50000;
TPolyMarker *pm = new TPolyMarker(npmax);
Int_t np = 0;
while(1) {
Double_t x = -4 +8*gRandom->Rndm();
Double_t y = -4 +8*gRandom->Rndm();
if (cutg->IsInside(x,y)) {
pm->SetPoint(np,x,y);
np++;
if (np == npmax) break;
}
}
pm->Draw();
}
void monplots(TString runno, TString filename, TString module, TWISMacroResult & results)
{
Double_t maxenerms = 1.5;
Double_t maxpedrms = 0.8;
TString defdir = "castor/cern.ch/user/t/tilebeam/commissioning/";
TString deffile = "tiletb_"+runno+"_MonoCis.0.root";
if(filename == ""){
filename = defdir+deffile;
}
TFile *f = TFile::Open(filename);
TTree *t = (TTree*)f->Get("TileRec/h1000");
Float_t efit[48], pedfit[48];
Int_t cispar[16];
TString vare = "Efit"+module;
TString varp = "Pedfit"+module;
TString varc = "Cispar";
t->SetBranchAddress(vare, &efit);
t->SetBranchAddress(varp, &pedfit);
t->SetBranchAddress(varc, &cispar);
Int_t nevt = t->GetEntries();
Int_t nevt_for_2D = (nevt>MAXEVT_FOR_2D) ? MAXEVT_FOR_2D : nevt;
Int_t i, j;
/********** MonExpert **********/
Int_t samp[48][9];
TString var = "Sample"+module;
t->SetBranchAddress(var, &samp);
TH1F *h[48];
TH2F *c[48];
TString hname, htitle;
TString cname, ctitle;
/*******************************/
t->GetEntry(100);
Double_t charge = 2*4.096*cispar[6]*cispar[7]/1023;
Double_t uphist = charge +20;
Double_t minmean = charge - 10;
TH1F *hene[48], *hped[48];
TString nene, tene, nped, tped;
for(j=0;j<48;j++){
nene = "ene";
nene += j;
tene = "Energy ";
tene += j;
hene[j]=new TH1F(nene, tene, 100, 0, uphist);
nped = "ped";
nped += j;
tped = "Pedestal ";
tped += j;
hped[j]=new TH1F(nped, tped, 100, 0, 100);
/********** MonExpert **********/
hname = "Amp";
hname += j;
htitle="Sample 3, ch";
htitle += j;
h[j]=new TH1F(hname, htitle, 100, 0, 200);
cname = "amptime";
cname += j;
ctitle="Sample3vsTime,ch";
ctitle += j;
c[j]=new TH2F(cname, ctitle, nevt_for_2D/10, 0, nevt_for_2D, 100, 0, 200);
/*******************************/
}
for(Int_t i=0;i<nevt;i++)
{
t->GetEntry(i);
for(j=0;j<48;j++)
{
hene[j]->Fill(efit[j]);
hped[j]->Fill(pedfit[j]);
/********** MonExpert **********/
if (i % 20 == 0 && i < MAXEVT_FOR_2D)
{
h[j]->Fill(samp[j][3]);
c[j]->Fill(i, samp[j][3]);
}
/*******************************/
}
}
Double_t chan[48], meanene[48], rmsene[48], meanped[48], rmsped[48];
vector<Int_t> bad;
Double_t badMeanEneX[48], badRMSEneX[48], badPedRMSX[48];
Double_t badMeanEneY[48], badRMSEneY[48], badPedRMSY[48];
Int_t NbadMeanEne = 0, NbadRMSEne = 0, NbadPedRMS = 0;
for(j=0;j<48;j++){
chan[j]=j;
if(j != 31 && j!=32 && j!=43){
meanene[j]=hene[j]->GetMean();
if (meanene[j] < minmean)
{
badMeanEneX[NbadMeanEne] = j;
badMeanEneY[NbadMeanEne] = meanene[j];
NbadMeanEne++;
}
rmsene[j]=hene[j]->GetRMS();
if (rmsene[j] > maxenerms)
{
badRMSEneX[NbadRMSEne] = j;
badRMSEneY[NbadRMSEne] = rmsene[j];
NbadRMSEne++;
}
meanped[j]=hped[j]->GetMean();
rmsped[j]=hped[j]->GetRMS();
if (rmsped[j] > maxpedrms)
{
badPedRMSX[NbadPedRMS] = j;
badPedRMSY[NbadPedRMS] = rmsped[j];
NbadPedRMS++;
}
if(meanene[j] < minmean || rmsene[j] > maxenerms || rmsped[j] > maxpedrms)
bad.push_back(j);
}
else {
meanene[j]=0.0;
rmsene[j]=0.0;
meanped[j]=0.0;
rmsped[j]=0.0;
}
}
TLine *lmean = new TLine(0, minmean, 50, minmean);
lmean->SetLineColor(2);
TLine *lenerms = new TLine(0, maxenerms, 50, maxenerms);
lenerms->SetLineColor(2);
TLine *lpedrms = new TLine(0, maxpedrms, 50, maxpedrms);
lpedrms->SetLineColor(2);
TPolyMarker *badMeanEne = new TPolyMarker(NbadMeanEne, badMeanEneX, badMeanEneY, "p");
badMeanEne->SetMarkerColor(2);
badMeanEne->SetMarkerStyle(21);
TPolyMarker *badRMSEne = new TPolyMarker(NbadRMSEne, badRMSEneX, badRMSEneY, "p");
badRMSEne->SetMarkerColor(2);
badRMSEne->SetMarkerStyle(21);
TPolyMarker *badPedRMS = new TPolyMarker(NbadPedRMS, badPedRMSX, badPedRMSY, "p");
badPedRMS->SetMarkerColor(2);
badPedRMS->SetMarkerStyle(21);
TGraph *genemean = new TGraph(48, chan, meanene);
genemean->SetMarkerStyle(21);
genemean->SetTitle("Mean Energy");
genemean->GetXaxis()->SetTitle("Channel");
TGraph *generms = new TGraph(48, chan, rmsene);
generms->SetMarkerStyle(21);
generms->SetTitle("RMS Energy");
generms->GetXaxis()->SetTitle("Channel");
TGraph *gpedmean = new TGraph(48, chan, meanped);
gpedmean->SetMarkerStyle(21);
gpedmean->SetTitle("Mean Pedestal");
gpedmean->GetXaxis()->SetTitle("Channel");
TGraph *gpedrms = new TGraph(48, chan, rmsped);
gpedrms->SetMarkerStyle(21);
gpedrms->SetTitle("RMS Pedestal");
gpedrms->GetXaxis()->SetTitle("Channel");
TCanvas *cmon= new TCanvas("cmon", "MonoCis", 700, 500);
cmon->Divide(2,2);
cmon->cd(1);
genemean->Draw("AP");
lmean->Draw();
badMeanEne->Draw();
cmon->cd(2);
generms->Draw("AP");
lenerms->Draw();
badRMSEne->Draw();
cmon->cd(3);
gpedmean->Draw("AP");
cmon->cd(4);
gpedrms->Draw("AP");
lpedrms->Draw();
badPedRMS->Draw();
cout.precision(3);
//cout<<"Number of bad channels is "<<bad.size()<<"<br />"<<endl;
results.addValue("Number of bad channels", bad.size());
if(bad.size() > 0)
{
//cout<<"Channel"<<'\t'<<"Mean energy"<<'\t'<<"RMS energy"<<'\t'<<"RMS Monocis"<<"<br />"<<endl;
TString table;
table = "<table class=\"main\" xmlns=\"http://www.w3.org/1999/xhtml\">\n";
table += "<tr><th>Channel</th><th>Mean energy</th><th>RMS energy</th><th>RMS Monocis</th></tr>\n";
for(i=0;i<bad.size();i++)
{
Int_t ch = bad.at(i);
//cout<<ch<<"\t"<<meanene[i]<<"\t\t"<<rmsene[i]<<"\t\t"<<rmsped[i]<<"<br />"<<endl;
table += "<tr><td>"; table += ch; table += "</td><td>"; table += meanene[i]; table += "</td><td>";
table += rmsene[i]; table +="</td><td>"; table += rmsped[i]; table +="</td></tr>\n";
}
table += "</table>\n";
results.addTable("Bad channels", table);
}
TString moduleDir = "LB" + module + "/";
TString filenameps = outputDir + moduleDir +"r"+runno+"_"+module+"_MonoCis.ps";
TString filenamepng = outputDir + moduleDir +"r"+runno+"_"+module+"_MonoCis.png";
cmon->Print(filenameps);
cmon->Print(filenamepng);
TString plotFilename = outputWebDir + moduleDir + "r"+runno+"_"+module+"_MonoCis.png";
TString plotPsFilename = outputWebDir + moduleDir + "r"+runno+"_"+module+"_MonoCis.ps";
TString completeModuleName = "LB" + module;
wis2Tilecomm(runno.Data(), completeModuleName.Data(), plotFilename.Data(), results);
wis2Tilecomm(runno.Data(), completeModuleName.Data(), plotPsFilename.Data(), results);
TString linkTitle = "Send results to QC Sheet";
TString linkHref = "http://atlasmonitor.web.cern.ch/atlasmonitor/saveValuesExample.jsp?module=";
linkHref += "LB" + module + "&run=" + runno + "&badChannels=";
linkHref += bad.size();
//results.addLink(linkTitle, linkHref);
results.addPlot("", plotFilename);
/********** MonExpert **********/
TCanvas *c1 = new TCanvas("c1", "Amp,1-24", 900, 900);
c1->Divide(4,6);
TCanvas *c5 = new TCanvas("c5", "Amp,25-48", 900, 900);
c5->Divide(4,6);
TCanvas *c3 = new TCanvas("c3", "AmpTime,1-24", 900, 900);
c3->Divide(4,6);
TCanvas *c7 = new TCanvas("c7", "AmpTime,25-48",900,900);
c7->Divide(4,6);
for(j = 0; j < 24; j++)
{
c1->cd(j+1);
gPad->SetLogy();
h[j]->Draw();
c5->cd(j+1);
gPad->SetLogy();
h[j+24]->Draw();
c3->cd(j+1);
c[j]->Draw();
c7->cd(j+1);
c[j+24]->Draw();
}
// Saving plots to disk
filenamepng = outputDir + "expert/" + moduleDir + "r" + runno + "_" + module + "_MonoCis_Expert_Amp1-24.png";
c1->Print(filenamepng);
filenamepng = outputDir + "expert/" + moduleDir + "r" + runno + "_" + module + "_MonoCis_Expert_Amp25-48.png";
c5->Print(filenamepng);
filenamepng = outputDir + "expert/" + moduleDir + "r" + runno + "_" + module + "_MonoCis_Expert_AmpTime1-24.png";
c3->Print(filenamepng);
filenamepng = outputDir + "expert/" + moduleDir + "r" + runno + "_" + module + "_MonoCis_Expert_AmpTime25-48.png";
c7->Print(filenamepng);
completeModuleName = "LB" + module;
// Saving plots to Results Database (TileComm Analysis)
TString plot1 = outputWebDir + "expert/" + moduleDir + "r"+runno+"_"+module+"_MonoCis_Expert_Amp1-24.png";
wis2Tilecomm(runno.Data(), completeModuleName.Data(), plot1.Data(), results);
TString plot2 = outputWebDir + "expert/" + moduleDir + "r"+runno+"_"+module+"_MonoCis_Expert_Amp25-48.png";
wis2Tilecomm(runno.Data(), completeModuleName.Data(), plot2.Data(), results);
TString plot3 = outputWebDir + "expert/" + moduleDir + "r"+runno+"_"+module+"_MonoCis_Expert_AmpTime1-24.png";
wis2Tilecomm(runno.Data(), completeModuleName.Data(), plot3.Data(), results);
TString plot4 = outputWebDir + "expert/" + moduleDir + "r"+runno+"_"+module+"_MonoCis_Expert_AmpTime25-48.png";
wis2Tilecomm(runno.Data(), completeModuleName.Data(), plot4.Data(), results);
// Showing links in macro results page
results.addValue("MonoCis Expert Plots", "");
results.addLink("Amp Channels 1-24", plot1);
results.addLink("Amp Channels 25-48", plot2);
results.addLink("AmpTime Channels 1-24", plot3);
results.addLink("AmpTime Channels 25-48", plot4);
/*******************************/
}
void laserCalibration(
char* filename = "frascatirun", //input file
int filenum = 1081, //file number
int channel = 3, //trace channel
int flagChannel = 5, //laser flag channel
Double_t entriesN = 10, //number of entries for prcessing
int sleep = 10, //sleep time between 2 processed entries, helpful for viewing traces
bool gui = true //enable or disable trace visualization
)
{
caen_5742 caen;
Int_t nbins = 1024;
Double_t entries = entriesN;
Int_t bin;
TCanvas *c1 = new TCanvas("c1","frascatirun",900,700);
c1->Divide(1,2);
c1->cd(1);
TGraph* g = new TGraph();
TH1F* lmPeaks = new TH1F("lm","Peaks Ratio", 1000, 0, 5000);
TH1F* d = new TH1F("d","",nbins,0,nbins);
TH1F* back = new TH1F("Back","",nbins,0,nbins);
// input file
char fname[100]=0;
sprintf(fname,"%s_0%i.root",filename,filenum);
TFile* infile = new TFile(fname);
TTree *t = (TTree*) infile->Get("t");
t->SetBranchAddress("caen_5742", &caen.system_clock);
t->Print();
if(entriesN<=0)
entries = t->GetEntries();
//out file
char foutname[100]=0;
int lm=0;
if (channel ==3)lm=1;
if (channel ==4)lm=2;
sprintf(foutname,"./calibration/LM%i_out_0%i.root",lm,filenum);
outfile = new TFile(foutname,"RECREATE");
outTree = new TTree("LM","frascatirun output");
calibTree = new TTree("LM_cal","frascatirun output");
outTree->Branch("LM_PX1",&fPositionX1,"PX1/D");
outTree->Branch("LM_PX2",&fPositionX2,"PX2/D");
outTree->Branch("LM_PY1",&fPositionY1,"PY1/D");
outTree->Branch("LM_PY2",&fPositionY2,"PY2/D");
//outTree->Branch("baseline",baseline,"baseline[1024]/F");
outTree->Branch("time",&timeline,"time/D");
outTree->Branch("LM_P2_Integral",&integralP2,"IP2/D");
calibTree->Branch("LM_P2_Integral_mean",&integralP2_mean,"IP2_mean/D");
calibTree->Branch("LM_P2_Integral_mean_error",&integralP2_mean_error,"IP2_mean_error/D");
calibTree->Branch("LM_P2_Integral_sigma",&integralP2_sigma,"IP2_sigma/D");
calibTree->Branch("LM_P2_Integral_sigma_error",&integralP2_sigma_error,"IP2_sigma_error/D");
/**************************************
* read entries
**************************************
*/
for (int j = 0; j < entries; ++j){
gSystem->Sleep (sleep);
t->GetEntry(j);
//TRIGGER SELECTION
if(caen.trace[flagChannel][400]>1000 && caen.trace[flagChannel][800]<3000){
timeline = caen.system_clock;
/**************************************
* Peaks estimation
**************************************
*/
for (int i = 0; i < nbins; ++i){
g->SetPoint(i, i, caen.trace[channel][i]);
}
Double_t y_max = TMath::MaxElement(g->GetN(),g->GetY());
Float_t * source = new Float_t[nbins];
Float_t * dest = new Float_t[nbins];
for (int i = 0; i < nbins; ++i){
source[i]=y_max-caen.trace[channel][i];
g->SetPoint(i, i, source[i]);
}
//Use TSpectrum to find the peak candidates
TSpectrum *s = new TSpectrum();
Int_t nfound = s->SearchHighRes(source, dest, nbins, 3, 2, kTRUE, 2, kFALSE, 5);
/**************************************
* Background estimation
**************************************
*/
Int_t ssize = nbins;
Int_t numberIterations = 20;
Int_t direction = s->kBackIncreasingWindow;
Int_t filterOrder = s->kBackOrder2;
bool smoothing = kFALSE;
Int_t smoothWindow = s->kBackSmoothing3;
bool compton = kFALSE;
for (int i = 0; i < nbins; ++i) baseline[i] = source[i];
s->Background(baseline, ssize, numberIterations, direction, filterOrder, smoothing, smoothWindow, compton);
/**************************************
* Peaks and integral estimation
**************************************
*/
Double_t px[2], py[2];
for (int i = 0; i < nbins; ++i) dest[i] = source[i]-baseline[i];
if(nfound==2){
bin = s->GetPositionX()[0];
fPositionX1 = bin;
fPositionY1 = dest[bin];
px[0] = bin;
py[0] = dest[bin];
bin = s->GetPositionX()[1];
fPositionX2 = bin;
fPositionY2 = dest[bin];
px[1] = bin;
py[1] = dest[bin];
}
int posxa=6;
int posxb=9;
switch (filenum){
case 1081:
posxa=6;
posxb=9;
break;
case 1082:
posxa=5;
posxb=7;
break;
case 1083:
posxa=5;
posxb=8;
break;
case 1084:
posxa=5;
posxb=7;
break;
case 1085:
posxa=5;
posxb=7;
break;
case 1086:
posxa=5;
posxb=5;
break;
case 1087:
posxa=4;
posxb=4;
break;
case 1088:
posxa=3;
posxb=4;
break;
case 1089:
posxa=3;
posxb=3;
break;
default:
posxa=6;
posxb=9;
}
integralP2 = g->Integral (fPositionX2-posxa,fPositionX2+posxb);
/**************************************
* print and update the canvas
**************************************
*/
if(gui==true){
TH1F* gh = g->GetHistogram();
gh->FillN(nbins,g->GetX(),g->GetY());
g->Draw();
TPolyMarker* pm = (TPolyMarker*)gh->GetListOfFunctions()->FindObject("TPolyMarker");
if (pm) {
gh->GetListOfFunctions()->Remove(pm);
delete pm;
}
pm = new TPolyMarker(nfound, px, py);
gh->GetListOfFunctions()->Add(pm);
pm->SetMarkerStyle(23);
pm->SetMarkerColor(kBlue);
pm->SetMarkerSize(1.3);
for (i = 0; i < nbins; i++) d->SetBinContent(i,dest[i]);
d->SetLineColor(kRed);
d->Draw("SAME");
for (i = 0; i < nbins; i++) back->SetBinContent(i,baseline[i]);
back->SetLineColor(kGreen);
back->Draw("SAME");
c1->Update();
}
/**************************************
* Fill tree and peaks data Histogram
**************************************
*/
if(nfound==2)
{
lmPeaks->Fill(integralP2);
outTree->Fill();
}
//printf("time= %d, posx1= %d, posy1= %d\n",time, fPositionX1, fPositionY1);
//printf("time= %d, posx2= %d, posy2= %d\n",time, fPositionX2, fPositionY2);
//for (int i=0;i<nbins;i++) printf("time = %d\n",baseline[i]);
}
}
/**************************************
* switch to the bottom pan and Draw Histogram
**************************************
*/
c1->cd(2);
//lmPeaks->SetAxisRange(TMath::MinElement(entries,binmin),TMath::MaxElement(entries,binmax)+100);
//lmPeaks->SetAxisRange(0,3000);
lmPeaks->Fit("gaus");
integralP2_mean = lmPeaks->GetFunction("gaus")->GetParameter(1);
integralP2_sigma = lmPeaks->GetFunction("gaus")->GetParameter(2);
integralP2_mean_error = lmPeaks->GetFunction("gaus")->GetParError(1);
integralP2_sigma_error = lmPeaks->GetFunction("gaus")->GetParError(2);
//printf("mean = %f\n",integralP2_mean);
//printf("sigma = %f\n",integralP2_sigma);
calibTree->Fill();
lmPeaks->Draw();
c1->Update();
outfile->cd();
gROOT->GetList()->Write();
outTree->Write();
calibTree->Write();
outfile->Close();
}
//--------------------------------------
//function to calculate sampling factors
std::pair<Double_t,Double_t> g4_sample(int snum, Double_t energy, bool do_pion, bool do_show, bool do_print=false, bool set_val=true){
Sample* sp = sample_map[snum];
if(!sp) { std::cout << "Sample " << snum << " is not loaded." << std::endl; return std::pair<Double_t,Double_t>(0.,0.); }
//select correct file
std::string fpre = sp->fpre;
if(do_pion) fpre += "_pion";
else fpre += "_elec";
//make filenames
std::stringstream drawname, fname, piname;
fname << sp->dir << "/" << fpre << "_" << energy << "gev_10k.root";
if(do_pion) piname << "#pi^{-} " << energy << " GeV";
else piname << "e^{-} " << energy << " GeV";
//open file and tree
TFile* _file;
_file = TFile::Open((fname.str()).c_str());
TTree* totalTree = (TTree*)_file->Get("Total");
//get histo from tree (no display)
//define mip as sam_ecal*ecal < 1 gev = 1000 mev (for pions in HCAL)
if(sp->det==Hcal) drawname << "(hcal+" << sp->zeroWt << "*zero)/1000>>hsam(200)";
else drawname << "(ecal)/1000>>hsam(200)";
totalTree->Draw((drawname.str()).c_str(),"","hist goff");
TH1F* hsam = (TH1F*)gDirectory->Get("hsam");
//use parameters from histo to start fit
TSpectrum* spec = new TSpectrum(5);
spec->Search(hsam,5,"nodraw goff");
Float_t* xpos = spec->GetPositionX();
Float_t* ypos = spec->GetPositionY();
Double_t m = xpos[0];
Double_t me = hsam->GetMeanError();
Double_t N = hsam->GetEntries();
std::stringstream s_mean;
s_mean.precision(3);
Double_t f = energy/m;
Double_t f_err = energy*(me/(m*m));
s_mean << f << " #pm " << f_err;
TPolyMarker* pm = new TPolyMarker(1, xpos, ypos);
hsam->GetListOfFunctions()->Add(pm);
pm->SetMarkerStyle(23);
pm->SetMarkerColor(kRed);
pm->SetMarkerSize(1.3);
std::cout.precision(6);
std::cout << "f_" << (do_pion ? "pion" : "elec") << " = " << f << " +/- " << f_err << std::endl;
//plotting and printing
if (do_show){
TCanvas* can = new TCanvas("sample","sample",700,500);
can->cd();
TPad* pad = new TPad("graph","",0,0,1,1);
pad->SetMargin(0.12,0.05,0.15,0.05);
pad->Draw();
pad->cd();
//formatting
hsam->SetTitle("");
hsam->GetXaxis()->SetTitle("Energy [GeV]");
//hsam->SetStats(kTRUE);
//gStyle->SetOptStat("mr");
hsam->SetLineWidth(2);
hsam->SetLineColor(kBlack);
hsam->GetYaxis()->SetTitleSize(32/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetYaxis()->SetLabelSize(28/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetXaxis()->SetTitleSize(32/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetXaxis()->SetLabelSize(28/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetYaxis()->SetTickLength(12/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->GetXaxis()->SetTickLength(12/(pad->GetWh()*pad->GetAbsHNDC()));
hsam->Draw();
std::stringstream Nname;
Nname << "N = " << N;
//determine placing of pave
Double_t xmin;
if (m/((hsam->GetXaxis()->GetXmax() + hsam->GetXaxis()->GetXmin())/2) < 1) xmin = 0.65;
else xmin = 0.2;
//legend
TPaveText *pave = new TPaveText(xmin,0.65,xmin+0.2,0.85,"NDC");
pave->AddText((piname.str()).c_str());
pave->AddText((Nname.str()).c_str());
pave->AddText("Peak sampling factor:");
pave->AddText((s_mean.str()).c_str());
pave->SetFillColor(0);
pave->SetBorderSize(0);
pave->SetTextFont(42);
pave->SetTextSize(0.05);
pave->Draw("same");
if(do_print) {
std::stringstream oname;
oname << pdir << "/" << fpre << "_sample_" << energy << "gev_peak.png";
can->Print((oname.str()).c_str(),"png");
}
}
else _file->Close();
//store value in sample
if(set_val){
if(do_pion) sp->sam_pion = f;
else sp->sam_elec = f;
}
return std::pair<Double_t,Double_t>(f,f_err);
}
