void JEC_fit_Uncertainty(int N)
{
TF1 *func[1000];
TFile *inf = new TFile("L3Graphs_test_Icone5.root");
TGraphErrors *g = (TGraphErrors*)inf->Get("Correction_vs_CaloPt");
TGraphErrors *vg[1000];
int i,k;
double x[20],y[20],ex[20],ey[20];
double vx[20],vy[20],vex[20],vey[20];
for(i=0;i<g->GetN();i++)
{
g->GetPoint(i,x[i],y[i]);
ex[i]=g->GetErrorX(i);
ey[i]=g->GetErrorY(i);
}
TRandom *rnd = new TRandom();
rnd->SetSeed(0);
for(k=0;k<N;k++)
{
for(i=0;i<g->GetN();i++)
{
vx[i] = rnd->Gaus(x[i],ex[i]);
//vx[i] = x[i];
vy[i] = rnd->Gaus(y[i],ey[i]);
vex[i] = ex[i];
vey[i] = ey[i];
}
vg[k] = new TGraphErrors(g->GetN(),vx,vy,vex,vey);
func[k] = new TF1("func","[0]+[1]/(pow(log10(x),[2])+[3])",1,2000);
func[k]->SetParameters(1,3,6,5);
vg[k]->Fit(func[k],"RQ");
}
TCanvas *c = new TCanvas("c","c");
gPad->SetLogx();
g->SetMarkerStyle(20);
g->SetMaximum(3.5);
g->Draw("AP");
for(k=0;k<N;k++)
{
func[k]->SetLineColor(5);
func[k]->SetLineWidth(1);
cout<<func[k]->GetChisquare()<<endl;
vg[k]->SetMarkerColor(2);
vg[k]->SetLineColor(2);
vg[k]->SetMarkerStyle(21);
//if (func[k]->GetChisquare()<0.1)
//vg[k]->Draw("sameP");
func[k]->Draw("same");
}
}
void drawTimeDifference (TDirectory* directory, TH1* refHisto, const char* fname=0)
{
TGraphErrors* graphX = (TGraphErrors*)directory->Get("x");
if ( graphX==0 ) return;
TH1I* hFirst = (TH1I*)directory->Get("firstTime");
TH1I* hLast = (TH1I*)directory->Get("lastTime");
if ( hFirst==0 || hLast==0 ) return;
std::string fullName("cDeltaT");
if ( fname ) fullName += fname;
else fullName += directory->GetName();
TCanvas* c = new TCanvas(fullName.c_str(),fullName.c_str());
TH1* h = refHisto->Clone("DeltaT");
h->Reset();
h->SetTitle("DeltaT");
TGraph* graph = new TGraph();
graph->SetName("gDeltaT");
double xg,yg;
for ( unsigned int i=1; i<=hFirst->GetNbinsX(); ++i ) {
std::time_t t1 = hFirst->GetAt(i);
std::time_t t2 = hLast->GetAt(i);
TTimeStamp ts1(hFirst->GetAt(i));
std::cout << "Fit started at " << ts1.AsString() << std::endl;
graphX->GetPoint(i-1,xg,yg);
graph->SetPoint(i-1,xg,difftime(t2,t1));
}
double xmin,xmax,ymin,ymax;
graph->ComputeRange(xmin,ymin,xmax,ymax);
h->SetMinimum(0.);
h->SetMaximum((ymax+ymin)/2.+2.*(ymax-ymin)/2.);
h->Draw();
graph->SetMarkerStyle(20);
// graph->SetMarkerColor(2);
// graph->SetLineColor(2);
graph->Draw("P");
}
void drawEventDifference (TDirectory* directory, TH1* refHisto, const char* fname=0)
{
TGraphErrors* graphX = (TGraphErrors*)directory->Get("x");
if ( graphX==0 ) return;
TH1I* hFirst = (TH1I*)directory->Get("firstEvent");
TH1I* hLast = (TH1I*)directory->Get("lastEvent");
if ( hFirst==0 || hLast==0 ) return;
std::string fullName("cDeltaE");
if ( fname ) fullName += fname;
else fullName += directory->GetName();
TCanvas* c = new TCanvas(fullName.c_str(),fullName.c_str());
TH1* h = refHisto->Clone("DeltaE");
h->Reset();
h->SetTitle("DeltaE");
TGraph* graph = new TGraph();
graph->SetName("gDeltaE");
double xg,yg;
for ( unsigned int i=1; i<=hFirst->GetNbinsX(); ++i ) {
int e1 = hFirst->GetAt(i);
int e2 = hLast->GetAt(i);
graphX->GetPoint(i-1,xg,yg);
graph->SetPoint(i-1,xg,e2-e1);
}
double xmin,xmax,ymin,ymax;
graph->ComputeRange(xmin,ymin,xmax,ymax);
h->SetMinimum(0.);
h->SetMaximum((ymax+ymin)/2.+2.*(ymax-ymin)/2.);
h->Draw();
graph->SetMarkerStyle(20);
// graph->SetMarkerColor(2);
// graph->SetLineColor(2);
graph->Draw("P");
}
void profileDistributions(TString dist)
{
gStyle->SetOptStat(0);
gStyle->SetOptTitle(0);
gStyle->SetPalette(1);
TFile *inF=TFile::Open("~/work/top_539/plotter.root");
TFile *inSystF=TFile::Open("~/work/top_539/plotter_syst.root");
bool isPhi(dist.Contains("phi"));
TString profs[]={dist,
dist+"toward",
dist+"transverse",
dist+"away"};
const size_t nprofs= isPhi ? 1 : sizeof(profs)/sizeof(TString);
Int_t colors[]={1,kBlue,kRed,kGreen-3};
TString cats[]={"inclusive","away","transverse","toward"};
/*
TFile *inNomF=inF;
TString nomTTbar="t#bar{t}";
TString nomTTbarTitle="MG+PY";
//TString systList[]={"t#bar{t}systmcatnlo"};
//TString systLabels[]={"MC@NLO+HW"};
//TString systList[]={"t#bar{t}systq2down","t#bar{t}systq2up"};
//TString systLabels[]={"-Q^{2}","+Q^{2}"};
//TString systList[]={"t#bar{t}systmepsdown","t#bar{t}systmepsup"};
// TString systLabels[]={"-ME-PS","+ME-PS"};
*/
TFile *inNomF=inSystF;
TString nomTTbar="t#bar{t}systtunep11";
TString nomTTbarTitle="P11";
TString systList[]={"t#bar{t}systtunep11nocr","t#bar{t}systtunep11tev"};
TString systLabels[]={"P11-noCR","P11TeV"};
Int_t systColors[]={1,kAzure,kRed-6,kGreen+3};
const size_t nSysts=sizeof(systList)/sizeof(TString);
TString ch[]={"emu"};
const size_t nch=sizeof(ch)/sizeof(TString);
for(size_t ich=0; ich<nch; ich++)
{
TCanvas *c=new TCanvas("c"+ch[ich]+dist,"c"+ch[ich]+dist,800,800); c->SetTopMargin(0); c->SetBottomMargin(0);
c->Divide(1,nprofs);
TCanvas *cratios=new TCanvas("cratios"+ch[ich]+dist,"cratios"+ch[ich]+dist,800,800); cratios->SetTopMargin(0); cratios->SetBottomMargin(0);
cratios->Divide(1,nprofs);
TCanvas *cproj=new TCanvas("cproj"+ch[ich]+dist,"cproj"+ch[ich]+dist,600,600);
TLegend *dataprojLeg=new TLegend(0.5,0.9,0.6,0.7,"Data","brNDC");
TLegend *mcprojLeg=new TLegend(0.7,0.9,0.92,0.7,"MC","brNDC");
for(size_t i=0; i<nprofs; i++)
{
TH2 *bckgMC = (TH2 *) inF->Get("Z#rightarrow ll/"+ch[ich]+"_"+profs[i]);
bckgMC->Add( (TH2 *) inF->Get("VV/"+ch[ich]+"_"+profs[i]) );
bckgMC->Add( (TH2 *) inF->Get("Single top/"+ch[ich]+"_"+profs[i]) );
bckgMC->Add( (TH2 *) inF->Get("W+jets-multijets/"+ch[ich]+"_"+profs[i]) );
//build the total MC with signal alternatives
TH2 *MC = (TH2 *) inNomF->Get(nomTTbar+"/"+ch[ich]+"_"+profs[i]) ;
Double_t totalTTbar(MC->Integral());
MC->Add(bckgMC);
MC->SetDirectory(0);
MC->Sumw2();
std::vector<TH2 *> systMC;
for(size_t isyst=0; isyst<nSysts; isyst++)
{
TH2F *h=(TH2F *)inSystF->Get(systList[isyst]+"/"+ch[ich]+"_"+profs[i]) ;
h->Scale(totalTTbar/h->Integral());
h->Add(bckgMC);
h->Sumw2();
h->SetDirectory(0);
systMC.push_back(h);
}
//get the data
TH2 *Data = (TH2 *) inF->Get("data/"+ch[ich]+"_"+profs[i]);
Data->SetDirectory(0);
Data->Sumw2();
TGraphErrors *MCProf = new TGraphErrors(MC->ProfileX()); MCProf->SetMarkerStyle(24); MCProf->SetFillStyle(0); MCProf->SetName(ch[ich]+profs[i]+"mc");
TGraphErrors *DataProf = new TGraphErrors(Data->ProfileX()); DataProf->SetMarkerStyle(20); DataProf->SetFillStyle(0); DataProf->SetName(ch[ich]+profs[i]+"data");
//build data/MC scale factors
std::vector<TGraphErrors *> data2mcProfs;
for(size_t isyst=0; isyst<=systMC.size(); isyst++)
{
TGraphErrors *prof= (isyst==0 ? MCProf : new TGraphErrors(systMC[isyst-1]->ProfileX()));
TString baseName(ch[ich]+profs[i]);
if(isyst) baseName += systList[isyst];
prof = (TGraphErrors *) prof->Clone(baseName+"data2mc");
for(int ip=0; ip<DataProf->GetN(); ip++)
{
Double_t x,y,ydata,y_err,ydata_err;
prof->GetPoint(ip,x,y); y_err=prof->GetErrorY(ip);
DataProf->GetPoint(ip,x,ydata); ydata_err=DataProf->GetErrorY(ip);
if(y<=0) continue;
prof->SetPoint(ip,x,ydata/y);
prof->SetPointError(ip,0,sqrt(pow(ydata*y_err,2)+pow(ydata_err*y,2))/pow(y,2));
}
prof->SetFillColor(systColors[isyst]);
prof->SetFillStyle(3001+isyst%2);
prof->SetTitle( isyst==0 ? nomTTbarTitle : systLabels[isyst-1] );
//prof->SetMarkerStyle(24); prof->SetFillStyle(3001); prof->SetMarkerColor(1+isyst); prof->SetMarkerColor(1+isyst); prof->SetLineColor(1+isyst);
data2mcProfs.push_back(prof);
}
TH1D *MCProjY=MC->ProjectionY();
MCProjY->Scale(1./MCProjY->Integral());
TGraphErrors *MCProj = new TGraphErrors(MCProjY); MCProj->SetMarkerStyle(24); MCProj->SetFillStyle(0); MCProj->SetName(ch[ich]+profs[i]+"projmc");
TH1D *DataProjY=Data->ProjectionY();
DataProjY->Scale(1./DataProjY->Integral());
TGraphErrors *DataProj = new TGraphErrors(DataProjY); DataProj->SetMarkerStyle(20); DataProj->SetFillStyle(0); DataProj->SetName(ch[ich]+profs[i]+"projdata");
MCProj->SetLineColor(colors[i]); MCProj->SetMarkerColor(colors[i]); MCProj->SetFillColor(colors[i]); MCProj->SetFillStyle(1001);
DataProj->SetLineColor(colors[i]); DataProj->SetMarkerColor(colors[i]); DataProj->SetFillColor(colors[i]);
TPad *p=(TPad *)cproj->cd();
p->SetLeftMargin(0.15);
p->SetRightMargin(0.02);
p->SetTopMargin(0.05);
p->SetLogy();
MCProj->SetFillStyle(0);
MCProj->Draw(i==0 ? "al3" : "l3");
MCProj->GetYaxis()->SetRangeUser(1e-5,1.0);
MCProj->GetXaxis()->SetTitle( MC->GetYaxis()->GetTitle() );
MCProj->GetYaxis()->SetTitle( "1/N dN/dx" );
MCProj->GetYaxis()->SetTitleOffset(1.8);
DataProj->Draw("p");
std::pair<float,int> chi2=computeChiSquareFor(DataProj,MCProj);
char buf[200];
sprintf(buf,"#scale[0.7]{#chi^{2}/ndof=%3.1f}", chi2.first/chi2.second );
dataprojLeg->AddEntry(DataProj,buf,"p");
mcprojLeg->AddEntry(MCProj,cats[i],"l");
if(i==0) drawCMSHeader(ch[ich]);
p=(TPad *)c->cd(i+1);
if(i<nprofs-1) p->SetBottomMargin(0.01);
if(i>0) p->SetTopMargin(0);
if(i==0)p->SetTopMargin(0.1);
if(i==nprofs-1) p->SetBottomMargin(0.15);
TGraphErrors *frame=DataProf;
frame->Draw("ap");
//frame->GetYaxis()->SetRangeUser(0.54,1.46);
frame->GetXaxis()->SetTitle(MC->GetXaxis()->GetTitle());
//frame->GetXaxis()->SetRangeUser(0,4.75);
TString yTit("<"); yTit+=MC->GetYaxis()->GetTitle(); yTit +=">";
frame->GetYaxis()->SetTitle(yTit);
frame->GetYaxis()->SetLabelSize(0.07);
frame->GetYaxis()->SetTitleSize(0.09);
frame->GetYaxis()->SetTitleOffset(0.5);
frame->GetXaxis()->SetLabelSize(0.07);
frame->GetXaxis()->SetTitleSize(0.09);
frame->GetXaxis()->SetTitleOffset(0.7);
//p->SetGridy();
//DataProf->Draw("p");
MCProf->Draw("p");
if(i==0)
{
drawCMSHeader(ch[ich],0.08);
TLegend *leg=new TLegend(0.6,0.95,1.0,0.99);
leg->SetBorderSize(0);
leg->SetFillStyle(0);
leg->SetTextFont(42);
leg->SetTextSize(0.09);
leg->AddEntry(DataProf,"data","p");
leg->AddEntry(MCProf,"simulation","p");
leg->SetNColumns(2);
leg->Draw();
}
TPaveText *pt=new TPaveText(0.15,0.5,0.8,0.85,"brNDC");
pt->SetBorderSize(0);
pt->SetFillStyle(0);
pt->SetTextAlign(13);
pt->SetTextFont(42);
pt->SetTextColor(kBlue);
pt->SetTextSize(0.08);
pt->AddText("[ "+cats[i]+" ]");
if(i==0)
{
pt->AddText("p_{T}>0.5 GeV");
pt->AddText("|#eta|<2.1");
}
pt->Draw();
p=(TPad *) cratios->cd(i+1);
if(i<nprofs-1) p->SetBottomMargin(0.01);
if(i>0) p->SetTopMargin(0);
if(i==0)p->SetTopMargin(0.1);
if(i==nprofs-1) p->SetBottomMargin(0.15);
frame=data2mcProfs[0];
frame->Draw("a3");
TLine *l=new TLine(frame->GetXaxis()->GetXmin(),1,frame->GetXaxis()->GetXmax(),1);
l->Draw();
frame->GetYaxis()->SetRangeUser(0.54,1.46);
frame->GetXaxis()->SetTitle(MC->GetXaxis()->GetTitle());
frame->GetYaxis()->SetTitle("Data/Simulation");
frame->GetYaxis()->SetLabelSize(0.07);
frame->GetYaxis()->SetTitleSize(0.09);
frame->GetYaxis()->SetTitleOffset(0.5);
frame->GetXaxis()->SetLabelSize(0.07);
frame->GetXaxis()->SetTitleSize(0.09);
frame->GetXaxis()->SetTitleOffset(0.7);
//p->SetGridy();
for(size_t ip=1; ip<data2mcProfs.size(); ip++) data2mcProfs[ip]->Draw("3");
if(i==0)
{
drawCMSHeader(ch[ich],0.08);
TLegend *leg=new TLegend(0.6,0.94,1.0,0.98);
leg->SetBorderSize(0);
leg->SetFillStyle(0);
leg->SetTextFont(42);
leg->SetTextSize(0.09);
leg->SetNColumns(data2mcProfs.size());
for(size_t ip=0; ip<data2mcProfs.size(); ip++)
leg->AddEntry(data2mcProfs[ip],data2mcProfs[ip]->GetTitle(),"f");
leg->Draw();
}
pt=new TPaveText(0.12,0.65,0.8,0.9,"brNDC");
pt->SetBorderSize(0);
pt->SetFillStyle(0);
pt->SetTextAlign(13);
pt->SetTextFont(42);
pt->SetTextColor(kBlue);
pt->SetTextSize(0.08);
pt->AddText("[ "+cats[i]+" ]");
if(i==0)
{
pt->AddText("p_{T}>0.5 GeV");
pt->AddText("|#eta|<2.1");
}
pt->Draw();
}
cproj->cd();
dataprojLeg->SetFillStyle(0);
dataprojLeg->SetBorderSize(0);
dataprojLeg->SetTextFont(42);
dataprojLeg->SetTextSize(0.03);
dataprojLeg->Draw();
mcprojLeg->SetFillStyle(0);
mcprojLeg->SetBorderSize(0);
mcprojLeg->SetTextFont(42);
mcprojLeg->SetTextSize(0.03);
mcprojLeg->Draw();
TString pf(".png");
c->SaveAs(outDir+c->GetName()+pf);
cproj->SaveAs(outDir+cproj->GetName()+pf);
cratios->SaveAs(outDir+cratios->GetName()+pf);
}
inF->Close();
inSystF->Close();
}
void AnalyzeData(char *DataFile = "drs4_peds_5buffers.dat", Int_t nevt,
Int_t startEv = 1, char *PedFile, Int_t DrawExtraGraphs = 0) {
// Redefine DOMINO Depth in ADC counts
const Float_t DominoDepthADC = pow(2, DOMINO_DEPTH);
// open file
FILE *fdata = OpenDataFile(DataFile);
struct channel_struct *p;
struct channel_struct *dep;
// create histograms
// create list of histograms for channels and distribution
TList *DistChList = new TList();
TH1F *distch; // histo with distribution of cell-charge, for each channel
TList *DistChSubList = new TList();
TH1F *distchsub; // histo with distribution of cell-charge, pedestals subtracted, for each channel
TList *DistCh0SubList = new TList();
TH1F *distch0sub; // histo with distribution of cell-charge, pedestals subtracted,
// channel 0 subtracted for each channel
TList *grPedList = new TList();
TGraphErrors *grPed; // for each channel, pedestal value and RMS for each cell is plotted
TList *hCellList = new TList();
TH1F *hCell; // charge distribution for each cell (DOMINO_NCELL x DOMINO_NCH histos)
TList *hCellSubList = new TList();
TH1F *hCellSub; // charge distribution for each cell (DOMINO_NCELL x DOMINO_NCH histos), pedestal subtracted
TList *hRMSList = new TList();
TH1F *hRMSdist; // histo with RMS distribution (statistical RMS of distribution)
TList *hRMSFitList = new TList();
TH1F *hRMSFitdist; // histo with RMS distribution (RMS of Gaussian fit)
TList *grDataList = new TList();
TGraphErrors *grData; // charge-cell and RMS for each cell is plotted
TList *grDataSubList = new TList();
TGraphErrors *grDataSub; // pedestal subtracted charge-cell and RMS for each cell is plotted
for (int h = 0; h < DOMINO_NCH; h++) {
//
TString title = "Data Dist channel";
title += h;
distch = new TH1F(title, title, DominoDepthADC, 0., DominoDepthADC);
DistChList->Add(distch);
//
TString title = "Data Dist Ped Sub channel";
title += h;
distchsub = new TH1F(title, title, DominoDepthADC, -DominoDepthADC/2, DominoDepthADC/2);
DistChSubList->Add(distchsub);
//
TString title = "Data Dist Ped Ch0 Sub channel";
title += h;
distch0sub = new TH1F(title, title, DominoDepthADC, -DominoDepthADC/2, DominoDepthADC/2);
DistCh0SubList->Add(distch0sub);
//
TString title = "Pedestal ch";
title += h;
grPed = new TGraphErrors(DOMINO_NCELL);
grPed->SetTitle(title);
grPedList->Add(grPed);
//
TString title = "Data ch";
title += h;
grData = new TGraphErrors(DOMINO_NCELL);
grData->SetTitle(title);
grDataList->Add(grData);
//
// Mean data and RMS for each channel and cell
TString title = "Data PedSubtracted ch";
title += h;
grDataSub = new TGraphErrors(DOMINO_NCELL);
grDataSub->SetTitle(title);
grDataSubList->Add(grDataSub);
//
for (int ch = 0; ch < DOMINO_NCELL; ch++) {
// data distribution histos
TString title = "Data ch";
title += h;
title += " cell";
title += ch;
hCell = new TH1F(title, title, DominoDepthADC, 0., DominoDepthADC);
hCellList->Add(hCell);
// data (ped subtracted) distribution histos
TString title = "Data PedSub ch";
title += h;
title += " cell ";
title += ch;
hCellSub = new TH1F(title, title, 2 * DominoDepthADC, -1
* DominoDepthADC, DominoDepthADC);
hCellSubList->Add(hCellSub);
}
// Data-RMS distribution histos
TString title = "RMSDist channel";
title += h;
hRMSdist = new TH1F(title, title, 100, 0, 20.);
hRMSList->Add(hRMSdist);
// Data-RMS (calculated through a fit) distribution histos
TString title = "RMSFitDist channel";
title += h;
hRMSFitdist = new TH1F(title, title, 100, 0, 20.);
hRMSFitList->Add(hRMSFitdist);
}
//--------------
//
// calculate or read pedestals from file
grPedList = OpenPedestals(PedFile);
// return;
//
// ====== Read data file and subtract the pedestals
//
// Count number of events in data file
int nevtDataMax = 0;
while (!feof(fdata)) {
fread((void *) &event_data, 1, sizeof(event_data), fdata);
nevtDataMax++;
}
printf("nevtDataMax: %d\n", nevtDataMax);
if (nevt > (nevtDataMax - startEv) || nevt == 0)
nevt = nevtDataMax - startEv;
cout << endl << "==>> Processing " << nevt << " events from file "
<< DataFile << endl;
rewind(fdata);
Int_t ievt = 1;
// go to first event (startEv)
while (ievt < startEv) {
fread((void *) &event_data, 1, sizeof(event_data), fdata);
if (feof(fdata))
break;
ievt++;
}
// filling
ievt = 1;
Int_t flagEnd = 0;
Double_t chtmp;
Double_t PedVal, itmp, Ch0Val;
// loop on events
cout << endl << " --- read DATA file:" << fdata << endl;
while (ievt <= nevt && !flagEnd) {
fread((void *) &event_data, 1, sizeof(event_data), fdata);
if (feof(fdata))
flagEnd = 1;
if (ievt % (nevt / 10 + 1) == 0)
cout << "*" << endl;
p = (struct channel_struct *) &event_data.ch[0]; // read bunch of data
dep = (struct channel_struct *) &event_data.ch[1]; // read bunch of data
TGraphErrors *grCh0 = new TGraphErrors(DOMINO_NCELL);
// loop on channels
for (int h = 0; h < DOMINO_NCH; h++) {
// loop on cells
distch = (TH1F *) DistChList->At(h);
distchsub = (TH1F *) DistChSubList->At(h);
grPed = (TGraphErrors *) grPedList->At(h);
distch0sub = (TH1F *) DistCh0SubList->At(h);
if(h==0) {
for(i = 0; i < DOMINO_NCELL;i++) {
grPed->GetPoint(i, itmp, PedVal);
chtmp = (Double_t)(p->data[i]);
chtmp = chtmp - PedVal;
grCh0->SetPoint(i,itmp, chtmp);
}
}
for (int i = 0; i < DOMINO_NCELL; i++) {
// Read pedestal value for this cell
grPed->GetPoint(i, itmp, PedVal);
grCh0->GetPoint(i, itmp, Ch0Val);
// cout << itmp << ", " << PedVal << endl;
// Read calibration correction for this cell
// CalFact =
//charge distribution for each cell, pedestal subtracted
chtmp = (Double_t)(p->data[i]); // data value
// cout << "tcell, tcell, depth: " << chtmp << "," << p->data[i] << "," << deptmp << endl;
distch->Fill(chtmp);
// Check data value: must be within DOMINO Depth
// if(chtmp > DominoDepthADC)
// cout << " === WARNING!!! Channel " << h << " Cell " << i << " has value " << chtmp << endl;
// cout << "Charge: " << p->data[i] << endl;
((TH1 *) hCellList->At(h * DOMINO_NCELL + i))->Fill(chtmp);
// Now the pedestal is subtracted
chtmp = chtmp - PedVal;
distchsub->Fill(chtmp);
((TH1 *) hCellSubList->At(h * DOMINO_NCELL + i))->Fill(chtmp);
chtmp = chtmp - Ch0Val;
distch0sub->Fill(chtmp);
}
p++; // next channel
}
ievt++; // next event
}
cout << endl;
// now mean and RMS for each cell are computed and save in histos and graphs
cout << " --- filling data histos and grphs " << endl;
TF1 *fgauss = new TF1("fgauss", Gauss, -10., 10., 3);
fgauss->SetParLimits(0, 0.1, 10000.);
fgauss->SetParLimits(1, 0., 4096.);
fgauss->SetParLimits(2, 0.1, 20.);
Float_t mean, rms, meansub, rmssub;
for (int h = 0; h < DOMINO_NCH; h++) {
// for (int h=5; h<6; h++){
cout << " Channel:" << h << endl;
hRMSdist = (TH1F *) hRMSList->At(h);
hRMSFitdist = (TH1F *) hRMSFitList->At(h);
grData = (TGraphErrors *) grDataList->At(h);
grDataSub = (TGraphErrors *) grDataSubList->At(h);
for (int ch = 0; ch < DOMINO_NCELL; ch++) {
// data distribution histos
// cout << "cell:" << ch << " index:" << h*DOMINO_NCELL+ch << " Mean,RMS:"<<hCell->GetMean()<< "," << hCell->GetRMS()<<endl;
hCell = (TH1F *) hCellList->At(h * DOMINO_NCELL + ch);
mean = hCell->GetMean();
rms = hCell->GetRMS();
hCellSub = (TH1F *) hCellSubList->At(h * DOMINO_NCELL + ch);
meansub = hCellSub->GetMean();
rmssub = hCellSub->GetRMS();
fgauss->SetParameter(0, (Double_t) nevt / 4.);
fgauss->SetParameter(1, mean);
fgauss->SetParameter(2, rms);
// hCell->Fit("fgauss","QN0");
grData->SetPoint(ch, ch, mean);
grData->SetPointError(ch, 0, rms);
grDataSub->SetPoint(ch, ch, meansub);
// grDataSub->SetPointError(ch,0.5,rmssub);
grDataSub->SetPointError(ch, 0.5, 2.1);
hRMSdist->Fill(rms);
hRMSFitdist->Fill(fgauss->GetParameter(2));
// cout << "cell:" << ch << " index:" << h*DOMINO_NCELL+ch << " Mean,RMS:"<< mean << "," << rms<<endl;
}
}
Double_t x, y, chtmp, x1, x2, y1, y2;
/*TList *grCellCalibList = OpenCalibFile("CalibrationData1000events.root");
TGraphErrors *grCellCalib;
TGraphErrors *grDataSubCalib = new TGraphErrors(DOMINO_NCELL);
grDataSubCalib->SetTitle("Data after calibration correction");
grDataSub = (TGraphErrors *) grDataSubList->At(anaChannel);
for(ch = 0; ch < DOMINO_NCELL; ch++) {
grCellCalib = ((TGraphErrors *) grCellCalibList->At(ch));
grCellCalib->Fit("pol3", "Q");
TF1 *pol3fit = ((TF1 *) grCellCalib->GetFunction("pol3"));
grDataSub->GetPoint(ch, x, y);
chtmp = y - (Double_t)(pol3fit->Eval(y/3.25));
grDataSubCalib->SetPoint(ch, x, chtmp);
}
TCanvas *cGrTest = new TCanvas("grTest", "test per vedere i dati", 1000,1000);
grDataSubCalib->Draw("APEL");*/
TString Title = "Charge Distribution per channel";
gStyle->SetOptFit(111);
TCanvas *cdistch = new TCanvas("cdistch", Title, 1000, 1000);
cdistch->Divide(3, 3);
for (int i = 0; i < DOMINO_NCH; i++) {
cdistch->cd(i + 1);
TH1 *dhist = (TH1 *) DistChList->At(i);
dhist->DrawCopy();
dhist->SetLineWidth(1);
dhist->Fit("gaus", "Q");
dhist->GetFunction("gaus")->SetLineColor(4);
dhist->GetFunction("gaus")->SetLineWidth(2);
}
TString Title = "Charge Distribution Pedestals Subtracted per channel";
TCanvas *cdistchsub = new TCanvas("cdistchsub", Title, 1000, 1000);
cdistchsub->Divide(3, 3);
for (int i = 0; i < DOMINO_NCH; i++) {
cdistchsub->cd(i + 1);
TH1 *dsubhist = (TH1 *) DistChSubList->At(i);
dsubhist->DrawCopy();
dsubhist->SetLineWidth(1);
dsubhist->Fit("gaus", "Q");
dsubhist->GetFunction("gaus")->SetLineColor(4);
dsubhist->GetFunction("gaus")->SetLineWidth(2);
}
TString Title = "Charge Distribution Pedestals and Ch0 Subtracted per channel";
TCanvas *cdistch0sub = new TCanvas("cdistch0sub", Title, 1000, 1000);
cdistch0sub->Divide(3, 3);
for (int i = 0; i < DOMINO_NCH; i++) {
cdistch0sub->cd(i + 1);
TH1 *dch0subhist = (TH1 *) DistCh0SubList->At(i);
dch0subhist->DrawCopy();
dch0subhist->SetLineWidth(1);
dch0subhist->Fit("gaus", "Q");
dch0subhist->GetFunction("gaus")->SetLineColor(4);
dch0subhist->GetFunction("gaus")->SetLineWidth(2);
}
TCanvas *cDataSubTest = new TCanvas("cDataSubTest", "Data after pedestal subtraction", 1000, 1000);
cDataSubTest->Divide(1,8);
for (h = 0; h< DOMINO_NCH; h++) {
grDataSub = (TGraphErrors *) grDataSubList->At(h);
cDataSubTest->cd(h+1);
grDataSub->GetYaxis()->SetLabelSize(0.06);
grDataSub->GetXaxis()->SetLabelSize(0.06);
grDataSub->Draw("APE");
}
TCanvas *cDataSubTestCh5 = new TCanvas("cDataSubTestCh5", "Data after pedestal subtraction Ch5", 1200, 800);
grDataSub = (TGraphErrors *) grDataSubList->At(anaChannel);
grDataSub->GetYaxis()->SetLabelSize(0.06);
grDataSub->GetYaxis()->SetTitle("ADC Counts");
grDataSub->GetXaxis()->SetTitle("Cell");
grDataSub->GetXaxis()->SetLabelSize(0.06);
TLine *refval = new TLine(0,350,1024,350);
refval->SetLineWidth(3);
refval->SetLineStyle(2);
refval->SetLineColor(2);
TLine *i1 = new TLine(121,-50,121,800);
i1->SetLineStyle(2);
TLine *i2 = new TLine(291,-50,291,800);
i2->SetLineStyle(2);
TLine *i3 = new TLine(461,-50,461,800);
i3->SetLineStyle(2);
TLine *i4 = new TLine(632,-50,632,800);
i4->SetLineStyle(2);
TLine *i5 = new TLine(803,-50,803,800);
i5->SetLineStyle(2);
TLine *i6 = new TLine(975,-50,975,800);
i6->SetLineStyle(2);
TLine *ireal1 = new TLine(121+20,600,121+20,800);
ireal1->SetLineWidth(3);
ireal1->SetLineColor(4);
TLine *ireal2 = new TLine(291-20,600,291-20,800);
ireal2->SetLineWidth(3);
ireal2->SetLineColor(4);
TLine *ireal3 = new TLine(461+20,600,461+20,800);
ireal3->SetLineWidth(3);
ireal3->SetLineColor(4);
TLine *ireal4 = new TLine(632-20,600,632-20,800);
ireal4->SetLineWidth(3);
ireal4->SetLineColor(4);
TLine *ireal5 = new TLine(803+20,600,803+20,800);
ireal5->SetLineWidth(3);
ireal5->SetLineColor(4);
TLine *ireal6 = new TLine(975-20,600,975-20,800);
ireal6->SetLineWidth(3);
ireal6->SetLineColor(4);
grDataSub->Draw("APE");
refval->Draw("SAME");
i1->Draw("SAME");
i2->Draw("SAME");
i3->Draw("SAME");
i4->Draw("SAME");
i5->Draw("SAME");
i6->Draw("SAME");
ireal1->Draw("SAME");
ireal2->Draw("SAME");
ireal3->Draw("SAME");
ireal4->Draw("SAME");
ireal5->Draw("SAME");
ireal6->Draw("SAME");
TCanvas *cDataTest = new TCanvas("cDataTest", "Raw Data", 1000,1000);
cDataTest->Divide(1,8);
for(h = 0; h < DOMINO_NCH; h++) {
cDataTest->cd(h+1);
grData = (TGraphErrors *) grDataList->At(h);
grData->SetMarkerStyle(20);
grData->SetMarkerSize(0.5);
grData->Draw("APE");
}
// save root file with graph containing channel 5 data after pedestals subtraction.
/*
cout << "test" << endl;
TString OutFile = DataSubFile;
TFile *f = new TFile(OutFile,"RECREATE");
int h = anaChannel;
TString key="DataSubGraph";
key += h;
((TGraphErrors*)grDataSubList->At(h))->Write(key);
f->Close();
cout << " ---- Write data on file " << endl;
*/
// =======================================================//
// =====================Matteo's Code=====================//
// =======================================================//
/*
Int_t cht, incCht, decCht, xflag, nPeriods, iMax, iMin;
Double_t xdiff, incDiff, decDiff, incDiffTemp, decDiffTemp, incXDiff, decXDiff;
Double_t fitMax, fitMin, fitPeriod, chisquare;
Double_t DominoXval[DOMINO_NCELL];
Double_t DominoYval[DOMINO_NCELL];
Double_t FitXval[DOMINO_NCELL];
Double_t FitYval[DOMINO_NCELL];
// opens grDataSub.root
TString FileName = DataSubFile;
TGraphErrors *grDataSub;
int h = anaChannel;
TFile *f = new TFile(FileName);
TString key = "DataSubGraph";
key += h;
grDataSub = (TGraphErrors *) f->Get(key);
f->Close();
// Create a new graph with channel 5 data
TGraphErrors *grDataSubAnaCh;
int h = anaChannel;
grDataSubAnaCh = (TGraphErrors *) grDataSubList->At(h);
TGraphErrors *grDataSubFix = grDataSubAnaCh->Clone();
TGraphErrors *grRes = new TGraphErrors(DOMINO_NCELL);
TList *grResPeriodList = new TList();
Double_t xtemp, ytemp, DominoMax, DominoMin;
for (int ch = 0; ch < DOMINO_NCELL; ch++){
// get domino-output point and save in array
grDataSubAnaCh->GetPoint(ch, DominoXval[ch], DominoYval[ch]);
}
// find the domino point with max y-value
iMax = 0;
for(int ch = 0; ch < DOMINO_NCELL; ch++) {
if(DominoYval[ch] > DominoYval[iMax]) {
DominoMax = DominoYval[ch];
iMax = ch;
}
}
cout << "DominoMax e': " << DominoMax << endl;
// find the domino point with min y-value
iMin = 0;
for (int ch = 0; ch < DOMINO_NCELL; ch++) {
if(DominoYval[ch] < DominoYval[iMin]) {
DominoMin = DominoYval[ch];
iMin = ch;
}
}
cout << "DominoMin e': " << DominoMin << endl;
// remove points from the graph that will be used for fit
for (int ch = 0; ch < DOMINO_NCELL; ch++){
grDataSubFix->GetPoint(ch, xtemp, ytemp);
if(ytemp > 0.8*DominoMax || ytemp < 0.2*DominoMin)
grDataSubFix->RemovePoint(ch);
}
TF1 *fsin = new TF1("fsin", sigSin, 0., 1024., 4);
fsin->SetParameters(600., DOMINO_NCELL / 4., 150., 150.);
fsin->SetParNames("amplitude", "Period", "Phase", "DC-Offset");
grDataSubFix->Fit("fsin");
TF1 *fsinFit = grDataSubFix->GetFunction("fsin");
fsinFit->SetParNames("amplitude", "Period", "Phase", "DC-Offset");
chisquare = grDataSub->Chisquare(fsinFit);
cout << "il chi quadro della funzione di fit e' : " << chisquare << endl;
for (int ch = 0; ch < DOMINO_NCELL; ch++) {
// get Fit-value and save in array
FitXval[ch] = DominoXval[ch];
FitYval[ch] = fsinFit->Eval(FitXval[ch]);
}
fitPeriod = fsinFit->GetParameter("Period");
cout << "il periodo della funzione e': " << fitPeriod << endl;
nPeriods = (Int_t) (DOMINO_NCELL/fitPeriod);
cout << "il numero di periodi della funzione e': " << nPeriods << endl;
fitMax = fsinFit->GetMaximum();
cout << "il massimo della funzione e': " << fitMax << endl;
fitMin = fsinFit->GetMinimum();
cout << "il minimo della funzione e': " << fitMin << endl;
// computes the y difference between the ch-domino point and the i-fit point
// and stops when the difference changes sign
//
// first and last points are not included in the cicle
//
// if the fit point y-value is bigger or smaller than the fit function max*0.8 or min*0.2
// the point is removed
for (int ch = 1; ch < DOMINO_NCELL - 1; ch++) {
if(FitYval[ch] > 0.8*fitMax || FitYval[ch] < 0.2*fitMin) {
grRes->RemovePoint(ch);
continue;
}
incDiff = DominoYval[ch] - FitYval[ch];
incDiffTemp = DominoYval[ch] - FitYval[ch + 1];
decDiff = DominoYval[ch] - FitYval[ch];
decDiffTemp = DominoYval[ch] - FitYval[ch - 1];
if(abs(incDiffTemp) < abs(incDiff) || (sign(incDiff) != sign(incDiffTemp) && abs(decDiffTemp) > abs(decDiff))) {
for (int i = ch; i < DOMINO_NCELL; i++, incDiff = incDiffTemp) {
incDiffTemp = DominoYval[ch] - FitYval[i];
if (sign(incDiff) != sign(incDiffTemp)) {
if(abs(incDiffTemp) < abs(incDiff))
incCht = i;
else
incCht = i - 1;
break;
}
}
xflag = 1;
}
else if(abs(decDiffTemp) < abs(decDiff) || (sign(decDiff) != sign(decDiffTemp) && abs(incDiffTemp) > abs(incDiff))) {
for (int j = ch; j >= 0 ; j--, decDiff = decDiffTemp) {
decDiffTemp = DominoYval[ch] - FitYval[j];
if (sign(decDiff) != sign(decDiffTemp)) {
if(abs(decDiffTemp) < abs(decDiff))
decCht = j;
else
decCht = j + 1;
break;
}
}
xflag = -1;
}
if(xflag == 1)
xdiff = FitXval[incCht] - DominoXval[ch];
else
xdiff = FitXval[decCht] - DominoXval[ch];
grRes->SetPoint(ch, (Double_t) ch, xdiff);
}
cout << "Draw Time Residuals" << endl;
TString Title = "Time Residuals";
TCanvas *timeres = new TCanvas("timeres", Title, 1200, 780);
grRes->SetMarkerStyle(20);
grRes->SetMarkerSize(0.3);
grRes->GetYaxis()->SetLabelSize(0.12);
grRes->GetXaxis()->SetLabelSize(0.12);
grRes->Draw("APE");
// The previous graph is now split in N graphs, where N is the number of fit periods
// this will be needed to set the function phase
//
// iMax = 0;
//
// for(ch = 0; ch < fitPeriod - 1; ch++) {
// if(FitYval[ch] > FitYval[iMax]) iMax = ch;
// }
cout << "il primo massimo ha l'indice : " << iMax << endl;
for (i = 0; i < nPeriods; i++) {
TGraphErrors *grResPeriod = new TGraphErrors((Int_t) fitPeriod);
grResPeriodList->Add(grResPeriod);
for(ch = i*fitPeriod + 1; ch < fitPeriod + (i*fitPeriod); ch++) {
if(FitYval[ch] > 0.8*fitMax || FitYval[ch] < 0.2*fitMin) {
grResPeriod->RemovePoint(ch);
continue;
}
incDiff = DominoYval[ch] - FitYval[ch];
incDiffTemp = DominoYval[ch] - FitYval[ch + 1];
decDiff = DominoYval[ch] - FitYval[ch];
decDiffTemp = DominoYval[ch] - FitYval[ch - 1];
if(abs(incDiffTemp) < abs(incDiff) || (sign(incDiff) != sign(incDiffTemp) && abs(decDiffTemp) > abs(decDiff))) {
for (int k = ch; k < k*fitPeriod + fitPeriod; k++, incDiff = incDiffTemp) {
incDiffTemp = DominoYval[ch] - FitYval[k];
if (sign(incDiff) != sign(incDiffTemp)) {
if(abs(incDiffTemp) < abs(incDiff))
incCht = k;
else
incCht = k - 1;
break;
}
}
xflag = 1;
}
else if(abs(decDiffTemp) < abs(decDiff) || (sign(decDiff) != sign(decDiffTemp) && abs(incDiffTemp) > abs(incDiff))) {
for (int j = ch; j > i*fitPeriod; j--, decDiff = decDiffTemp) {
decDiffTemp = DominoYval[ch] - FitYval[j];
if (sign(decDiff) != sign(decDiffTemp)) {
if(abs(decDiffTemp) < abs(decDiff))
decCht = j;
else
decCht = j + 1;
break;
}
}
xflag = -1;
}
if(xflag == 1)
xdiff = FitXval[incCht] - DominoXval[ch];
else
xdiff = FitXval[decCht] - DominoXval[ch];
grResPeriod->SetPoint(ch - i*fitPeriod, (Double_t) (ch - i*fitPeriod), xdiff);
}
}
TCanvas *timeresperiod = new TCanvas("timeresperiod", "Time Residuals Period", 1200, 780);
for(i = 0; i < nPeriods; i++) {
grResPeriod = ((TGraphErrors *) grResPeriodList->At(i));
grResPeriod->SetMarkerStyle(20);
grResPeriod->SetMarkerSize(0.3);
grResPeriod->GetYaxis()->SetLabelSize(0.12);
grResPeriod->GetXaxis()->SetLabelSize(0.12);
grResPeriod->Draw("APEsame");
}
cout << "Draw Data - Pedestals Subtracted" << endl;
TString Title = "Average Charge - Pedestal subtracted";
TCanvas *csubdata = new TCanvas("csubdata", Title, 1200, 780);
grDataSubAnaCh->SetMarkerStyle(20);
grDataSubAnaCh->SetMarkerSize(0.3);
grDataSubAnaCh->GetYaxis()->SetLabelSize(0.12);
grDataSubAnaCh->GetXaxis()->SetLabelSize(0.12);
grDataSubAnaCh->Draw("APE");
fsinFit->Draw("same");
*/
// draw extra graphs
if (DrawExtraGraphs == 1) {
cout << " ----- DRAW Results ------" << endl;
//================ DRAW Results ==================
TCanvas *c = new TCanvas("ctmp", "test", 800, 800);
c->Divide(3, 3);
for (int pad = 1; pad < 10; pad++) {
c->cd(pad);
((TH1 *) hCellList->At(pad * 512 + 219))->DrawCopy();
hCellSub = (TH1F *) hCellSubList->At(pad * 512 + 219);
hCellSub->SetLineColor(2);
hCellSub->DrawCopy("same");
}
cout << "Draw RMS distributions" << endl;
TString Title = "RMS distributions per channel";
TCanvas *c4 = new TCanvas("c4", Title, 700, 700);
c4->Divide(3, 3);
for (int i = 0; i < DOMINO_NCH; i++) {
c4->cd(i + 2);
hRMSdist = (TH1F *) hRMSList->At(i);
hRMSFitdist = (TH1F *) hRMSFitList->At(i);
hRMSFitdist->SetLineColor(2);
hRMSFitdist->DrawCopy();
hRMSdist->DrawCopy("same");
}
TList *grDataCh0SubList = new TList();
TGraphErrors *grDataCh0Sub;
for(h = 0; h< DOMINO_NCELL; h++) {
grDataCh0Sub = new TGraphErrors(DOMINO_NCELL);
grDataCh0SubList->Add(grDataCh0Sub);
}
TGraphErrors *grDataSubCh0 = (TGraphErrors *) grDataSubList->At(6);
for(h = 0; h < DOMINO_NCH; h++) {
grDataSub = (TGraphErrors *) grDataSubList->At(h);
grDataCh0Sub = (TGraphErrors *) grDataCh0SubList->At(h);
for(ch = 0; ch < DOMINO_NCELL; ch++) {
grDataSubCh0->GetPoint(ch, x1, y1);
grDataSub->GetPoint(ch, x2, y2);
grDataCh0Sub->SetPoint(ch, x1 , y2 - y1);
}
}
TCanvas *cDataCH0Sub = new TCanvas("cDataCH0Sub","cDataCH0Sub", 1000,1000);
cDataCH0Sub->Divide(1,8);
for(h = 0; h < DOMINO_NCH; h++) {
cDataCH0Sub->cd(h+1);
grDataCh0Sub = (TGraphErrors *) grDataCh0SubList->At(h);
grDataCh0Sub->GetYaxis()->SetLabelSize(0.12);
grDataCh0Sub->GetXaxis()->SetLabelSize(0.12);
grDataCh0Sub->Draw("APEL");
}
cout << "Draw Data - Pedestals Subtracted" << endl;
TString Title = "Average Charge - Pedestal subtracted";
TCanvas *csubdata = new TCanvas("csubdata", Title, 1000, 1000);
csubdata->Divide(3,3);
for(h = 0; h < DOMINO_NCH; h++) {
csubdata->cd(h+1);
TString title = "DataSub channel ";
title += h;
TH1F *hCellDataSub = new TH1F(title, title, 100, -20, 20);
grDataSub = (TGraphErrors *) grDataSubList->At(h);
for(ch = 0; ch < DOMINO_NCELL; ch++) {
grDataSub->GetPoint(ch, x, y);
hCellDataSub->Fill(y);
}
hCellDataSub->Fit("gaus", "Q");
hCellDataSub->GetXaxis()->SetTitle("ADC Counts");
hCellDataSub->GetFunction("gaus")->SetLineColor(4);
hCellDataSub->DrawCopy();
}
cout << "breakpoint" << endl;
TCanvas *csubdata2 = new TCanvas("csubdata2", "DataSub for every channel", 1000, 1000);
TString title = "DataSub every channel ";
TH1F *hCellChDataSubTot = new TH1F(title, title, 100, -20, 20);
for(h = 0; h < DOMINO_NCH; h++) {
grDataSub = (TGraphErrors *) grDataSubList->At(h);
for(ch = 0; ch < DOMINO_NCELL; ch++) {
grDataSub->GetPoint(ch, x, y);
hCellChDataSubTot->Fill(y);
}
hCellChDataSubTot->Fit("gaus", "Q");
hCellChDataSubTot->GetXaxis()->SetTitle("ADC Counts");
hCellChDataSubTot->GetFunction("gaus")->SetLineColor(4);
hCellChDataSubTot->Draw();
}
cout << "Draw Pedestals" << endl;
TString Title = "Pedestals";
TCanvas *c2 = new TCanvas("c2", Title, 1050, 780);
c2->SetBorderMode(0);
c2->SetBorderSize(0.);
c2->Divide(1, 8);
// gStyle->SetCanvasBorderMode(0.);
// gStyle->SetCanvasBorderSize(0.);
Double_t x, y;
for (int h = 0; h < DOMINO_NCH; h++) {
c2->cd(h + 1);
grPed = ((TGraphErrors *) grPedList->At(h));
grPed->SetMarkerStyle(20);
grPed->SetMarkerSize(0.5);
grPed->GetYaxis()->SetLabelSize(0.12);
grPed->GetXaxis()->SetLabelSize(0.12);
// cout << " err:" << grPed->GetErrorY(102) << " " ;
// cout << x << "--" << y << endl;
grPed->Draw("APE");
}
cout << "Draw Data - Average charge" << endl;
TString Title = "Average_Charge";
TCanvas *cdata = new TCanvas("cdata", Title, 1050, 780);
cdata->Divide(1, 8);
Double_t x, y;
for (int h = 0; h < DOMINO_NCH; h++) {
cdata->cd(h + 1);
grData = ((TGraphErrors *) grDataList->At(h));
grData->SetMarkerStyle(20);
grData->SetMarkerSize(0.3);
grData->GetYaxis()->SetLabelSize(0.12);
grData->GetXaxis()->SetLabelSize(0.12);
grData->GetPoint(10, x, y);
// cout << x << "-" << y << endl;
grData->Draw("APE");
}
cout << "Draw Data - Pedestals Subtracted" << endl;
TString Title = "Average Charge - Pedestal subtracted";
TCanvas *csubdata = new TCanvas("csubdata", Title, 1200, 780);
csubdata->Divide(1, 8);
TF1 *fsin = new TF1("fsin", sigSin, 0., 1024., 4);
TH1D *resDist = new TH1D("resDist", "Residuals Signal", 100, -100., 100.);
cout << "Draw Data - Pedestals Subtracted" << endl;
TString Title = "Residuals";
TCanvas *residuals = new TCanvas("residuals", Title, 1200, 780);
resDist->DrawCopy();
}
fclose(fdata);
hCellList->Delete();
hCellSubList->Delete();
hRMSList->Delete();
hRMSFitList->Delete();
}
int plotResoVsIC(){
SetTdrStyle();
const unsigned nIC = 10;
const unsigned ICval[nIC] = {0,1,2,3,4,5,10,15,20,50};
std::ostringstream label;
TFile *fcalib[nIC];
TGraphErrors *constant = new TGraphErrors();
constant->SetName("constant");
constant->SetTitle(";intercalib. smearing");
constant->SetMarkerStyle(20);
constant->SetMarkerColor(1);
constant->SetLineColor(1);
TGraphErrors *constantSR7 = new TGraphErrors();
constantSR7->SetName("constantSR7");
constantSR7->SetTitle(";intercalib. smearing");
constantSR7->SetMarkerStyle(23);
constantSR7->SetMarkerColor(2);
constantSR7->SetLineColor(2);
TGraphErrors *noise = (TGraphErrors *) constant->Clone("noise");
TGraphErrors *sampling = (TGraphErrors *) constant->Clone("sampling");
TGraphErrors *samplingSR7 = (TGraphErrors *) constantSR7->Clone("samplingSR7");
TCanvas *mycReso = new TCanvas("mycReso","mycReso",1500,1000);
mycReso->Divide(2,5);
TCanvas *mycR = new TCanvas("mycR","Sampling",1500,1000);
TCanvas *mycC = new TCanvas("mycC","Constant",1500,1000);
TCanvas *mycN = new TCanvas("mycN","Noise",1500,1000);
gStyle->SetOptFit(1111);
gStyle->SetOptStat(0);
gStyle->SetStatW(0.2);
gStyle->SetStatH(0.5);
TLatex lat;
char buf[500];
TGraphErrors *gr[nIC][2];
double x0,y0;
double x0_7,y0_7;
for (unsigned ic(0);ic<nIC;++ic){//loop on intercalib
label.str("");
label << "PLOTS/CalibReso";
label << "_vsE";
label << "_IC" << ICval[ic];
label << ".root";
fcalib[ic] = TFile::Open(label.str().c_str());
if (!fcalib[ic]) {
std::cout << " -- failed to open file: " << label.str() << std::endl;
continue;
}
else {
std::cout << " -- file " << label.str() << " successfully opened." << std::endl;
}
fcalib[ic]->cd("SR2");
gr[ic][0] = (TGraphErrors *)gDirectory->Get("resoRecoFit2eta21pu1");
fcalib[ic]->cd("SR7");
gr[ic][1] = (TGraphErrors *)gDirectory->Get("resoRecoFit7eta21pu1");
TF1 *fit = gr[ic][0]->GetFunction("reso");
TF1 *fit7 = gr[ic][1]->GetFunction("reso");
mycReso->cd(ic+1);
gr[ic][0]->Draw("APE");
fit->SetLineColor(6);
fit->Draw("same");
lat.SetTextSize(0.1);
sprintf(buf,"Single #gamma, #eta=2.1, 3#times3 cm^{2}");
lat.DrawLatexNDC(0.2,0.8,buf);
sprintf(buf,"ICsmear = %d %%",ICval[ic]);
lat.DrawLatexNDC(0.2,0.7,buf);
double cval = sqrt(pow(fit->GetParameter(1),2)-pow(y0,2));
constant->SetPoint(ic,ICval[ic]/100.,cval);
constant->SetPointError(ic,0,fit->GetParameter(1)*fit->GetParError(1)/cval);
noise->SetPoint(ic,ICval[ic]/100.,fit->GetParameter(2));
noise->SetPointError(ic,0,fit->GetParError(2));
sampling->SetPoint(ic,ICval[ic]/100.,fit->GetParameter(0));
sampling->SetPointError(ic,0,fit->GetParError(0));
cval = sqrt(pow(fit7->GetParameter(1),2)-pow(y0_7,2));
constantSR7->SetPoint(ic,ICval[ic]/100.,cval);
constantSR7->SetPointError(ic,0,fit7->GetParameter(1)*fit7->GetParError(1)/cval);
//constantSR7->SetPoint(ic,ICval[ic]/100.,fit7->GetParameter(1));
//constantSR7->SetPointError(ic,0,fit7->GetParError(1));
samplingSR7->SetPoint(ic,ICval[ic]/100.,fit7->GetParameter(0));
samplingSR7->SetPointError(ic,0,fit7->GetParError(0));
if (ic==0) {
constant->GetPoint(0,x0,y0);
constantSR7->GetPoint(0,x0_7,y0_7);
cval = sqrt(pow(fit->GetParameter(1),2)-pow(y0,2));
constant->SetPoint(ic,ICval[ic]/100.,cval);
constant->SetPointError(ic,0,fit->GetParameter(1)*fit->GetParError(1)/cval);
cval = sqrt(pow(fit7->GetParameter(1),2)-pow(y0_7,2));
constantSR7->SetPoint(ic,ICval[ic]/100.,cval);
constantSR7->SetPointError(ic,0,fit7->GetParameter(1)*fit7->GetParError(1)/cval);
}
}
mycReso->Update();
mycReso->Print("PLOTS/ResolutionFitvsIC.pdf");
TLegend *leg = new TLegend(0.6,0.6,0.8,0.8);
leg->SetFillColor(10);
leg->AddEntry(sampling,"3#times3 cm^{2}","P");
leg->AddEntry(samplingSR7,"All detector","P");
mycR->cd();
gPad->SetGridy(1);
sampling->GetYaxis()->SetTitle("Sampling term (GeV^{1/2})");
sampling->SetMinimum(0.2);
sampling->SetMaximum(0.3);
sampling->Draw("APE");
samplingSR7->Draw("PEsame");
lat.SetTextSize(0.04);
sprintf(buf,"Single #gamma, #eta=2.1");
lat.DrawLatexNDC(0.2,0.87,buf);
lat.DrawLatexNDC(0.01,0.01,"HGCAL G4 standalone");
leg->Draw("same");
mycR->Update();
mycR->Print("PLOTS/SamplingvsIC.pdf");
mycC->cd();
gPad->SetLogx(1);
gPad->SetGridy(1);
gStyle->SetOptFit(0);
//gStyle->SetStatH(0.1);
//gStyle->SetStatW(0.2);
constant->GetYaxis()->SetTitle("Constant from intercalib.");
constant->SetMinimum(0);
constant->SetMaximum(0.08);
constant->Draw("APE");
//constantSR7->Draw("PEsame");
sprintf(buf,"Single #gamma, #eta=2.1");
lat.DrawLatexNDC(0.2,0.87,buf);
lat.DrawLatexNDC(0.01,0.01,"HGCAL G4 standalone");
TF1 *BE = new TF1("BE","sqrt([0]*[0] + pow(x*1/sqrt([1]),2))",0,1);
BE->SetParameters(0,30);
// BE->SetParLimits(0,1,1);
BE->FixParameter(0,0);
BE->SetLineColor(1);
constant->Fit("BE","BI");
lat.SetTextColor(1);
//sprintf(buf,"c #propto c_{0} #oplus #frac{x}{#sqrt{n}}, n=%3.1f #pm %3.1f",BE->GetParameter(1),BE->GetParError(1));
sprintf(buf,"c_{ic}=#frac{x}{#sqrt{n}}, n=%3.1f #pm %3.1f",BE->GetParameter(1),BE->GetParError(1));
lat.DrawLatexNDC(0.2,0.77,"c=c_{0} #oplus c_{ic}");
lat.DrawLatexNDC(0.2,0.67,buf);
//BE->SetParameter(0,y0_7);
//constantSR7->Fit("BE","BI","same");
//BE->SetLineColor(2);
//BE->Draw("same");
//lat.SetTextColor(2);
//sprintf(buf,"c #propto c_{0} #oplus #frac{x}{#sqrt{n}}, n=%3.1f #pm %3.1f",BE->GetParameter(1),BE->GetParError(1));
//lat.DrawLatexNDC(0.2,0.6,buf);
//lat.SetTextColor(1);
//leg->Draw("same");
mycC->Update();
mycC->Print("PLOTS/ConstantvsIC.pdf");
mycN->cd();
noise->GetYaxis()->SetTitle("Noise term (GeV)");
noise->Draw("APE");
sprintf(buf,"Single #gamma, #eta=2.1, 3#times3 cm^{2}");
lat.DrawLatexNDC(0.2,0.87,buf);
lat.DrawLatexNDC(0.01,0.01,"HGCAL G4 standalone");
mycN->Print("PLOTS/NoisevsIC.pdf");
return 0;
}//main
double FitCurve(TGraphErrors* g, int debug=0)
{
double vdep=0;
if(!g) return vdep;
TF1* f3 = new TF1("fp1", "pol1", 20, 360);
f3->SetLineColor(4);
double y;
double xlow=350;
double ymax=0;
double vdep1=0;
// prendre le point le plus haut est robuste et marche bien pour les hauts vdep
TGraphErrors *gsmooth = MedianFilter(g);
gsmooth = MedianFilter(gsmooth);
for(int ipt=0; ipt<gsmooth->GetN(); ipt++)
{
gsmooth->GetPoint(ipt, xlow, y);
if(y>ymax) {ymax=y; vdep1=xlow;}
}
//g=gsmooth;
int npt = g->GetN()-5;
xlow=350;
double chi2=0;
int status = 0;
while(chi2<5. && xlow>100 && npt>=0)
{
g->GetPoint(npt, xlow, y);
f3->SetRange(xlow, 350);
status = g->Fit("fp1", "rqn");
chi2 = f3->GetChisquare()/f3->GetNDF();
if(debug>=1) cout<<"xlow "<<xlow<<" chi2 "<<chi2<<endl;
npt--;
}
g->GetPoint(npt+2, xlow, y);
f3->SetRange(xlow, 350);
g->Fit("fp1", "rqn");
vdep = xlow;
//if(vdep>230) vdep = vdep1;
//else if(fabs(vdep-vdep1)>40) vdep = vdep1;
//vdep=vdep1;
cout<<" Vdepl = "<<vdep<<endl;
TF1* f1 = new TF1("fitsigmo", fitsigmo, 50, 350, 5);
f1->SetParameter(0, 3.);
f1->SetParameter(1, 0.02);
f1->SetParameter(2, vdep);
f1->SetParameter(3, -10.);
f1->SetParameter(4, -0.00001);
f1->SetParLimits(2, 100., 300.);
f1->SetParLimits(4, -0.1, 0);
TF1* f2 = new TF1("fitpol", fitpol, 20, 360, 6);
f2->SetParLimits(4, 100., 300.);
f2->SetParLimits(5, -0.1, 0);
/* xlow = 30;
chi2 = 100;
double xmin = xlow;
double chi2min = chi2;
string opt="rq";
if(debug>=2) opt="r";
while(chi2>0.1 && xlow<vdep-80)
{
f2->SetParameter(0, 1.);
f2->SetParameter(1, 0.005);
f2->SetParameter(2, 0.0001);
f2->SetParameter(3, 0.);
f2->SetParameter(4, vdep);
f2->SetParameter(5, -0.00001);
f2->SetRange(xlow, 350);
status = g->Fit("fitpol", opt.c_str());
if(status!=0) status = g->Fit("fitpol", opt.c_str());
chi2 = f2->GetChisquare()/f2->GetNDF();
if(debug>=1) cout<<"xlow "<<xlow<<" chi2 "<<chi2<<endl;
if(debug>=2) cout<<" chi2 "<<f2->GetChisquare()<<" ndf "<<f2->GetNDF()<<endl;
if(chi2<chi2min) {chi2min=chi2; xmin=xlow;}
xlow+=10;
}
f2->SetParameter(0, 1.);
f2->SetParameter(1, 0.005);
f2->SetParameter(2, 0.0001);
f2->SetParameter(3, 0.);
f2->SetParameter(4, vdep);
f2->SetParameter(5, -0.00001);
f2->SetRange(xmin, 350);
status = g->Fit("fitpol", opt.c_str());
if(status!=0) status = g->Fit("fitpol", opt.c_str());
vdep = f2->GetParameter(4);
cout<<" Vdepl2 = "<<vdep<<" xmin "<<xmin<<endl;
if(fabs(vdep-vdep1)>30) vdep = vdep1;
*/
TGraphErrors* gmedian;
gmedian = MedianFilter( g );
int nfilt=1;
/*while (!IsMonoton(gmedian) && nfilt<4) {
gmedian = MedianFilter( gmedian );
nfilt++;
}*/
gmedian = HanningFilter(gsmooth);
cout<<nfilt<<" median filter applied"<<endl;
TGraphErrors* gscurv = GetCurvatureGraph( gmedian );
gscurv->SetMarkerStyle(20);
TGraph* g3pts = new TGraph();
float xopt = GetOptimalMinNPts(gscurv, g3pts);
vdep = xopt;
cout<<" Kink = "<<xopt<<endl;
TCanvas *c1;
TCanvas *c2;
if(debug>=1)
{
c1 = new TCanvas();
g->Draw("AP");
f2->Draw("same");
f3->Draw("same");
//gsmooth->SetMarkerColor(17);
//gsmooth->Draw("P");
//gmedian->SetMarkerColor(4);
//gmedian->Draw("P");
TLine *l = new TLine(vdep,2, vdep, ymax+0.1);
l->SetLineStyle(3);
l->Draw();
c1->Modified();
c1->Update();
string detid = g->GetTitle();
detid.erase(0,6);
//c1->Print(Form("ClusterWidthVsVbias_detid_%s_run203832.eps", detid.c_str()));
c2 = new TCanvas;
gscurv->Draw("AP");
g3pts->Draw("P");
g3pts->Fit("pol2", "q");
c2->Modified();
c2->Update();
//c2->Print(Form("ClusterWidthVsVbias_detid_%s_curv_run203832.eps", detid.c_str()));
getchar();
c1->Close();
c2->Close();
}
return vdep;
}
void DrawKinvarPlot(TString filename="kinvarset/FMSOR_Pt_vs_run.root",
TString classname="pi0") {
TFile * infile = new TFile(filename.Data(),"READ");
char trig[32];
char typ[32];
char tmp[128];
TString tmpstr = filename;
tmpstr.ReplaceAll("_"," ");
TRegexp re("^.*\/");
tmpstr(re) = "";
cout << tmpstr << endl;
sscanf(tmpstr.Data(),"%s %s",trig,typ);
printf("%s %s\n",trig,typ);
TString hname = "h2_"+classname;
TH2D * h = (TH2D*)infile->Get(hname.Data());
TString gname = "g_"+classname;
TGraphErrors * g = (TGraphErrors*)infile->Get(gname.Data());
TString gtname = "gt_"+classname;
TGraphErrors * gt;
if(!strcmp(typ,"Pt")) gt = (TGraphErrors*)infile->Get(gtname.Data());
char htitle[256];
char hnewtitle[512];
strcpy(htitle,h->GetTitle());
sprintf(hnewtitle,"%s -- %s triggers",htitle,trig);
h->SetTitle(hnewtitle);
h->SetMinimum(0.001);
if(!strcmp(typ,"Pt")) {
gt->SetLineWidth(2);
gt->SetLineColor(kBlack);
};
// temporary hack to cut out fluctuations of pt_thresh vs. run to 0
Double_t xx,yy;
Int_t gtn = gt->GetN();
for(int ii=0; ii<gtn; ii++) {
gt->GetPoint(ii,xx,yy);
printf("xx=%f yy=%f\n",xx,yy);
if(yy<0.001) gt->RemovePoint(ii);
};
// drawing range
Float_t xmin = h->GetXaxis()->GetXmin();
Float_t xmax = h->GetXaxis()->GetXmax();
xmax = 515;
if(xmax<gtn) {
fprintf(stderr,"\nWARNING: xmax < gt->GetN(); graphs will be cut off!\n\n");
};
TCanvas * c = new TCanvas("c","c",1500,700);
c->Divide(1,2);
gStyle->SetOptStat(0);
for(int x=1; x<=2; x++) c->GetPad(x)->SetGrid(1,1);
c->cd(1);
c->GetPad(1)->SetLogz();
h->GetXaxis()->SetRangeUser(xmin,xmax);
h->Draw("colz");
if(!strcmp(typ,"Pt")) gt->Draw("LX");
c->cd(2);
g->SetFillColor(kGray);
printf("%f %f\n",xmin,xmax);
g->GetXaxis()->SetLimits(xmin,xmax);
g->GetXaxis()->SetRangeUser(xmin,xmax);
/*
g->Draw("A3");
g->Draw("PLX");
*/
g->Draw("APLX");
TString outname = filename.ReplaceAll(".root"," "+classname);
outname = outname+".png";
c->Print(outname.Data(),"png");
};
void AnalyzeWaveforms(char *WaveformsFile = "Waveforms.root", const int nAddedChannels = 5) {
//try to access waveforms file and in case of failure return
if(gSystem->AccessPathName(WaveformsFile,kFileExists)) {
cout << "Error: file " << WaveformsFile << " does not exsist. Run .x WaveformsFileMaker.C to create it" << endl;
return;
}
// gStyle->SetOptFit(111);
// gStyle->SetStatFormat("1.3E");
// gStyle->SetFitFormat("1.3E");
// fetch the list of trees contained in the waveforms file
// for every tree generate a waveform graph
TFile *f = TFile::Open(WaveformsFile);
TList *listOfKeys = f->GetListOfKeys();
Int_t numberOfKeys = listOfKeys->GetEntries();
TList *listOfGraphs = new TList();
// if the waveform file name begins with the string "comparator" it goes in this list
TList *listOfCompWaves = new TList();
// if the waveform file name begins with the string "sum output" it goes in this list
TList *listOfAdderWaves = new TList();
for(Int_t i = 0; i < numberOfKeys; i++) {
TString *keyName = new TString(listOfKeys->At(i)->GetName());
TTree *tree = (TTree*)f->Get(keyName->Data());
Float_t x = 0;
Float_t y = 0;
tree->SetBranchAddress("x",&x);
tree->SetBranchAddress("y",&y);
Int_t nentries = tree->GetEntries();
TString *gName = new TString(keyName->Data());
gName->Append(" graph");
TGraphErrors *gWave = new TGraphErrors(nentries);
gWave->SetName(gName->Data());
gWave->SetTitle(gName->Data());
gWave->GetXaxis()->SetTitle("Time");
gWave->GetYaxis()->SetTitle("Voltage");
// gWave->SetBit(TH1::kCanRebin);
for (Int_t j = 0; j < nentries; j++) {
tree->GetEntry(j);
gWave->SetPoint(j,x,y);
}
listOfGraphs->Add(gWave);
if(keyName->BeginsWith("comparator"))
listOfCompWaves->Add(gWave);
if(keyName->BeginsWith("sum output"))
listOfAdderWaves->Add(gWave);
/* TString *cName = new TString(keyName->Data());
cName->Append(" canvas");
TCanvas *cy = new TCanvas(cName->Data(),cName->Data(),800,600);
gWave->Draw("AL"); */
}
cout << listOfAdderWaves->GetEntries() << endl;
// analysis for waves with no delay
// global variables
Double_t xMin,xMax,yStart,yEnd;
Int_t graphPoints;
Double_t step;
// comparator outputs waves sum
TGraphErrors *gFirstCompWave = (TGraphErrors *)listOfCompWaves->First();
graphPoints = gFirstCompWave->GetN();
gFirstCompWave->GetPoint(0,xMin,yStart);
gFirstCompWave->GetPoint(graphPoints - 1,xMax,yEnd);
step = (xMax - xMin)/graphPoints;
cout << gFirstCompWave->GetName() << endl;
cout << "xMin = " << xMin << " xMax = " << xMax << " graphPoints = " << graphPoints << endl;
TGraphErrors *gCompSum = new TGraphErrors(graphPoints);
gCompSum->SetLineColor(kBlue);
gCompSum->SetLineWidth(2);
gCompSum->SetName("Comparator Outputs Sum");
gCompSum->SetTitle("Comparator Outputs Sum");
Int_t nCompWaves = listOfCompWaves->GetEntries();
Float_t gx,gy = 0;
// Alpha coefficiens are now written "hard coded" here
Float_t alphaArray[3] = {0.199,0.201,0.197};
// Deleays coming from the multiplexer are written "hard coded" here
Float_t muxDelayArray[3] = {0,77.14E-12,192.01E-12};
for(Int_t i = 0; i < graphPoints; i++) {
for(Int_t j = 0; j < nCompWaves; j++) {
TGraphErrors *gCompWave = (TGraphErrors *)listOfCompWaves->At(j);
gy += (gCompWave->Eval(xMin + i*step + muxDelayArray[j]))*alphaArray[j];
}
gCompSum->SetPoint(i,xMin + i*step,gy);
gy = 0;
}
// note that there is a manual correction on the x axis for the comparator waves sum to compare them better in the multigraph
Double_t *xArray = gCompSum->GetX();
for(Int_t i = 0; i < graphPoints; i++) {
xArray[i] += 5.6E-9;
}
// TCanvas *cCompSum = new TCanvas("cCompSum","Comparator Outputs Sum",800,600);
// gCompSum->Draw("AL");
// adder outputs waves sum
// THE ANALYSIS FOR THE ADDER OUTPUT WITH NOT DELAY AND 3 CHANNELS ADDED IS DEPRECATED.
// THERE WAS A MISTAKE IN THE DATA TAKING
// I'LL KEEP THE CODE HERE FOR FURTHER REFERENCE
/*
TGraphErrors *gFirstAdderWave = (TGraphErrors *)listOfAdderWaves->First();
graphPoints = gFirstAdderWave->GetN();
gFirstAdderWave->GetPoint(0,xMin,yStart);
gFirstAdderWave->GetPoint(graphPoints - 1,xMax,yEnd);
step = (xMax - xMin)/graphPoints;
cout << gFirstAdderWave->GetName() << endl;
cout << "xMin : " << xMin << " xMax : " << xMax << endl;
TGraphErrors *gAdderSum = new TGraphErrors(graphPoints);
gAdderSum->SetLineWidth(2);
// gAdderSum->SetLineColor(kGreen);
gAdderSum->SetLineStyle(9);
gAdderSum->SetName("Sum of the adder outputs with no delay");
gAdderSum->SetTitle("Sum of the adder outputs with no delay");
Int_t nAdderWaves = listOfAdderWaves->GetEntries();
gy = 0;
for(Int_t i = 0; i < graphPoints; i++) {
for(Int_t j = 0; j < nAdderWaves; j++) {
TGraphErrors *gAdderWave = (TGraphErrors *)listOfAdderWaves->At(j);
gy += gAdderWave->Eval(xMin + i*step);
}
gAdderSum->SetPoint(i,xMin + i*step,gy);
gy = 0;
}
// TCanvas *cAdderSum = new TCanvas("cAdderSum","Sum of the adder outputs",800,600);
// gAdderSum->Draw("AL");
TGraphErrors *g3ChannelsSumNoDelay = listOfGraphs->FindObject("sum_output_3_channels_(3) graph");
g3ChannelsSumNoDelay->SetLineColor(kRed);
g3ChannelsSumNoDelay->SetLineWidth(2);
// note that there is a manual correction on the x axis for the adder output to compare it better in the multigraph
Double_t *xArray = g3ChannelsSumNoDelay->GetX();
graphPoints = g3ChannelsSumNoDelay->GetN();
for(Int_t i = 0; i < graphPoints; i++) {
xArray[i] -= 600E-12;
}
// comparison among the computed adder output ,the real one and the sum of the comparator outputs with alpha coefficients correction
TMultiGraph *mgSumNoDelay = new TMultiGraph();
mgSumNoDelay->Add(g3ChannelsSumNoDelay);
mgSumNoDelay->Add(gAdderSum);
mgSumNoDelay->Add(gCompSum);
mgSumNoDelay->SetTitle("Collection of graphs for 3 channels sum with no delay");
TCanvas *cmgSumNoDelay = new TCanvas("cmgSumNoDelay", "Collection of graphs for 3 channels sum with no delay", 1200,800);
cmgSumNoDelay->Update();
mgSumNoDelay->Draw("AL");
legend = new TLegend(0.6,0.78,0.99,0.99);
legend->AddEntry(g3ChannelsSumNoDelay, "Actual sum done by the adder", "lp");
legend->AddEntry(gAdderSum, "Sum of the adder outputs", "lp");
legend->AddEntry(gCompSum, "Sum of the comparator outputs","lp");
legend->Draw();
mgSumNoDelay->GetXaxis()->SetTitle("Seconds");
mgSumNoDelay->GetYaxis()->SetTitle("Volts");
TPaveText *title = (TPaveText*)cmgSumNoDelay->GetPrimitive("title");
title->SetX1NDC(0.009);
title->SetY1NDC(0.94);
title->SetX2NDC(0.56);
title->SetY2NDC(0.99);
cmgSumNoDelay->Modified();
*/
// analysis for delayed adder outputs
Int_t nAdderWaves = listOfAdderWaves->GetEntries();
TGraphErrors *g3ChannelsSumDelay = listOfGraphs->FindObject("sum_output_3_channels_(1-1-1) graph");
g3ChannelsSumDelay->SetLineColor(kRed);
g3ChannelsSumDelay->SetLineWidth(2);
// Delay coming from cables are written "hard coded" here
Float_t cablesDelayArray[3] = {0,1.45E-9,3.21E-9};
graphPoints = g3ChannelsSumDelay->GetN();
//g3ChannelsSumDelay->GetPoint(0,xMin,yStart);
//g3ChannelsSumDelay->GetPoint(graphPoints - 1,xMax,yEnd);
xMin = 6E-9;
xMax = 16E-9;
step = (xMax - xMin)/graphPoints;
cout << "Sum of the adder outputs with delay" << endl;
cout << "xMin : " << xMin << " xMax : " << xMax << endl;
TGraphErrors *gAdderSumDelay = new TGraphErrors(graphPoints);
gAdderSumDelay->SetLineColor(kBlue);
gAdderSumDelay->SetLineWidth(2);
gAdderSumDelay->SetName("Sum of the adder outputs with delay");
gAdderSumDelay->SetTitle("Sum of the adder outputs with delay");
gy = 0;
// note that there is a manual correction on the delay of 500E-12 to compare the adder output better in the multigraph
for(Int_t i = 0; i < graphPoints; i++) {
for(Int_t j = 0; j < nAdderWaves; j++) {
TGraphErrors *gAdderWave = (TGraphErrors *)listOfAdderWaves->At(j);
gy += gAdderWave->Eval(xMin + i*step + cablesDelayArray[j] - 500E-12);
}
gAdderSumDelay->SetPoint(i,xMin + i*step,gy);
gy = 0;
}
// TCanvas *cSumSumDelay = new TCanvas("cSumSumDelay","Sum of the sum outputs with delay",800,600);
// gAdderSumDelay->Draw("APEL");
TMultiGraph *mg3ChannelsSumDelay = new TMultiGraph();
mg3ChannelsSumDelay->Add(gAdderSumDelay);
mg3ChannelsSumDelay->Add(g3ChannelsSumDelay);
mg3ChannelsSumDelay->SetTitle("Collection of graphs for 3 channels sum with delay");
TCanvas *cmg3ChannelsSumDelay = new TCanvas("cmg3ChannelsSumDelay", "Collection of graphs for 3 channels sum with delay", 1200, 800);
cmg3ChannelsSumDelay->Update();
legend = new TLegend(0.6,0.78,0.99,0.99);
legend->AddEntry(g3ChannelsSumDelay, "Actual sum done by the adder", "lp");
legend->AddEntry(gAdderSumDelay, "Sum of the delayed adder outputs", "lp");
mg3ChannelsSumDelay->Draw("AL");
legend->Draw();
mg3ChannelsSumDelay->GetXaxis()->SetTitle("Seconds");
mg3ChannelsSumDelay->GetYaxis()->SetTitle("Volts");
TPaveText *title = (TPaveText*)cmg3ChannelsSumDelay->GetPrimitive("title");
title->SetX1NDC(0.009);
title->SetY1NDC(0.94);
title->SetX2NDC(0.56);
title->SetY2NDC(0.99);
cmg3ChannelsSumDelay->Modified();
/*
// delay test just to try a different method
TMultiGraph *mgDelayTest = new TMultiGraph();
Double_t gxTest,gyTest;
TGraphErrors *gDelayTest0 = new TGraphErrors(((TGraphErrors *)listOfAdderWaves->At(0))->GetN());
for(Int_t j = 0; j < gDelayTest0->GetN(); j++) {
((TGraphErrors *)listOfAdderWaves->At(0))->GetPoint(j,gxTest,gyTest);
gDelayTest0->SetPoint(j,gxTest - cablesDelayArray[0],gyTest);
}
mgDelayTest->Add(gDelayTest0);
TGraphErrors *gDelayTest1 = new TGraphErrors(((TGraphErrors *)listOfAdderWaves->At(1))->GetN());
for(Int_t j = 0; j < gDelayTest1->GetN(); j++) {
((TGraphErrors *)listOfAdderWaves->At(1))->GetPoint(j,gxTest,gyTest);
gDelayTest1->SetPoint(j,gxTest - cablesDelayArray[1],gyTest);
}
mgDelayTest->Add(gDelayTest1);
TGraphErrors *gDelayTest2 = new TGraphErrors(((TGraphErrors *)listOfAdderWaves->At(2))->GetN());
for(Int_t j = 0; j < gDelayTest2->GetN(); j++) {
((TGraphErrors *)listOfAdderWaves->At(2))->GetPoint(j,gxTest,gyTest);
gDelayTest2->SetPoint(j,gxTest - cablesDelayArray[2],gyTest);
}
mgDelayTest->Add(gDelayTest2);
// TCanvas *cmgDelayTest = new TCanvas("cmgDelayTest", "cmgDelayTest", 800,600);
// mgDelayTest->Draw("APEL");
graphPoints = 12000;
xMin = 2E-9;
xMax = 22E-9;
step = (xMax - xMin)/graphPoints;
cout << "xMin : " << xMin << " xMax : " << xMax << endl;
Double_t delayTest0xMin,delayTest0xMax,delayTest1xMin,delayTest1xMax,delayTest2xMin,delayTest2xMax;
gDelayTest0->GetPoint(0,delayTest0xMin,gyTest);
gDelayTest0->GetPoint(gDelayTest0->GetN() - 1,delayTest0xMax,gyTest);
gDelayTest1->GetPoint(0,delayTest1xMin,gyTest);
gDelayTest1->GetPoint(gDelayTest1->GetN() - 1,delayTest1xMax,gyTest);
gDelayTest2->GetPoint(0,delayTest2xMin,gyTest);
gDelayTest2->GetPoint(gDelayTest2->GetN() - 1,delayTest2xMax,gyTest);
cout << delayTest0xMin << endl;
TGraphErrors *gAdderSumDelayV2 = new TGraphErrors(graphPoints);
for(Int_t i = 0; i < graphPoints; i++) {
gyTest = gDelayTest0->Eval(xMin + i*step);
gyTest += gDelayTest1->Eval(xMin + i*step);
gyTest += gDelayTest2->Eval(xMin + i*step);
gAdderSumDelayV2->SetPoint(i,xMin + i*step+ 500E-12,gyTest);
}
gAdderSumDelayV2->SetLineColor(kGreen);
gAdderSumDelayV2->SetLineWidth(2);
mg3ChannelsSumDelay->Add(gAdderSumDelayV2);
c3ChannelsSumDelay->Modified();
TCanvas *cAdderSumDelayV2 = new TCanvas("cAdderSumDelayV2","cAdderSumDelayV2",800,600);
gAdderSumDelayV2->Draw("APL");
*/
// List of waves representing the adder output with 5,4,3,2,1 channels in input
TGraphErrors *gAdder5Channels = listOfGraphs->FindObject("adder output 5 channels v2 graph");
TGraphErrors *gAdder4Channels = listOfGraphs->FindObject("adder output 4 channels v2 graph");
TGraphErrors *gAdder3Channels = listOfGraphs->FindObject("adder output 3 channels v2 graph");
TGraphErrors *gAdder2Channels = listOfGraphs->FindObject("adder output 2 channels v2 graph");
TGraphErrors *gAdder1Channel = listOfGraphs->FindObject("adder output 1 channel v2 graph");
TGraphErrors *gAdderSingleCh0 = listOfGraphs->FindObject("single sum output ch 0 input 500 mV DT 100 mV graph");
TGraphErrors *gAdderSingleCh1 = listOfGraphs->FindObject("single sum output ch 1 input 500 mV DT 100 mV graph");
TGraphErrors *gAdderSingleCh4 = listOfGraphs->FindObject("single sum output ch 4 input 500 mV DT 100 mV graph");
TGraphErrors *gAdderSingleCh5 = listOfGraphs->FindObject("single sum output ch 5 input 500 mV DT 100 mV graph");
TGraphErrors *gAdderSingleCh7 = listOfGraphs->FindObject("single sum output ch 7 input 500 mV DT 100 mV graph");
TMultiGraph *mgAdder54321Channels = new TMultiGraph();
mgAdder54321Channels->SetTitle("Collection of graphs for different numbers of added channels");
mgAdder54321Channels->Add(gAdder5Channels);
mgAdder54321Channels->Add(gAdder4Channels);
mgAdder54321Channels->Add(gAdder3Channels);
mgAdder54321Channels->Add(gAdder2Channels);
mgAdder54321Channels->Add(gAdder1Channel);
TCanvas *cmgAdder54321Channels = new TCanvas("cmgAdder54321Channels", "Collection of graphs for different numbers of added channels",1200,800);
mgAdder54321Channels->Draw("AL");
cmgAdder54321Channels->Update();
mgAdder54321Channels->GetXaxis()->SetTitle("seconds");
mgAdder54321Channels->GetYaxis()->SetTitle("Volts");
cmgAdder54321Channels->Modified();
// analysis of the linearity of the adder
Double_t addedVMax[nAddedChannels];
addedVMax[0] = TMath::MaxElement(gAdder1Channel->GetN(), gAdder1Channel->GetY());
addedVMax[1] = TMath::MaxElement(gAdder2Channels->GetN(), gAdder2Channels->GetY());
addedVMax[2] = TMath::MaxElement(gAdder3Channels->GetN(), gAdder3Channels->GetY());
addedVMax[3] = TMath::MaxElement(gAdder4Channels->GetN(), gAdder4Channels->GetY());
addedVMax[4] = TMath::MaxElement(gAdder5Channels->GetN(), gAdder5Channels->GetY());
Double_t singleVMax[nAddedChannels];
singleVMax[0] = TMath::MaxElement(gAdderSingleCh0->GetN(), gAdderSingleCh0->GetY());
singleVMax[1] = TMath::MaxElement(gAdderSingleCh1->GetN(), gAdderSingleCh1->GetY());
singleVMax[2] = TMath::MaxElement(gAdderSingleCh4->GetN(), gAdderSingleCh4->GetY());
singleVMax[3] = TMath::MaxElement(gAdderSingleCh5->GetN(), gAdderSingleCh5->GetY());
singleVMax[4] = TMath::MaxElement(gAdderSingleCh7->GetN(), gAdderSingleCh7->GetY());
vector<double> expectedVMax(nAddedChannels);
Double_t previousVmax = 0;
for(Int_t i = 0; i < expectedVMax.size(); i++) {
expectedVMax[i] = singleVMax[i] + previousVmax;
previousVmax = expectedVMax[i];
cout << "singleVMax[" <<i <<"] = " << singleVMax[i] << endl;
cout << "addedVMax[" <<i <<"] = " << addedVMax[i] << endl;
cout << "expectedVMax[" <<i <<"] = " << expectedVMax[i] << endl;
}
TGraph *gAdderLinearity = new TGraph(expectedVMax.size(),&expectedVMax[0],addedVMax);
gAdderLinearity->SetTitle("Linearity of the adder");
gAdderLinearity->GetXaxis()->SetTitle("Expected amplitude value (V)");
gAdderLinearity->GetYaxis()->SetTitle("Actual amplitude value (V)");
gAdderLinearity->GetYaxis()->SetTitleOffset(1.3);
TCanvas *cgAdderLinearity = new TCanvas("cgAdderLinearity","Linearity of the adder",800,600);
cgAdderLinearity->SetGrid();
cgAdderLinearity->Update();
gAdderLinearity->SetMarkerStyle(20);
gAdderLinearity->SetMarkerSize(0.8);
//gAdderLinearity->Fit("pol1","Q+","",expectedVMax[0],expectedVMax[2]);
TF1 *line = new TF1("line","x",expectedVMax.back(),expectedVMax.front());
gAdderLinearity->Draw("APEL");
line->Draw("SAME");
//gAdderLinearity->GetFunction("pol1")->SetRange(expectedVMax.back(),expectedVMax.front());;
cgAdderLinearity->SetLeftMargin(0.13);
cgAdderLinearity->Modified();
f->Close();
}
void CalcPeriod(char *DataFile = "drs4_peds_5buffers.dat", Int_t nevt,
Int_t startEv = 1, char *PedFile) {
// create progress bar
TGHProgressBar *gProgress = ProgressBar("Calcolo periodo");
// Redefine DOMINO Depth in ADC counts
const Float_t DominoDepthADC = pow(2, DOMINO_DEPTH);
// open file
FILE *fdata = OpenDataFile(DataFile);
struct channel_struct *p;
struct channel_struct *dep;
// create list of graphs for pedestals
TList *grPedList = new TList();
TGraphErrors *grPed;
// create period histogram
TString title = "Period histogram";
TH1 *hPeriod = new TH1F(title,title, 2*((Int_t) DOMINO_NCELL), (Double_t) -DOMINO_NCELL, (Double_t) DOMINO_NCELL);
// calculate or read pedestals from file
grPedList = OpenPedestals(PedFile);
grPed = (TGraphErrors *) grPedList->At(anaChannel);
// Count number of events in data file
int nevtDataMax = 0;
while (!feof(fdata)) {
fread((void *) &event_data, 1, sizeof(event_data), fdata);
nevtDataMax++;
}
printf("nevtDataMax: %d\n", nevtDataMax - 1);
if (nevt > (nevtDataMax - startEv) || nevt == 0)
nevt = nevtDataMax - startEv;
cout << endl << "==>> Processing " << nevt << " events from file "
<< DataFile << endl;
rewind(fdata);
Int_t ievt = 1;
// go to first event (startEv)
while (ievt < startEv) {
fread((void *) &event_data, 1, sizeof(event_data), fdata);
if (feof(fdata))
break;
ievt++;
}
ievt = 1;
Int_t flagEnd = 0;
Int_t fitusati = 0;
Double_t chtmp;
Double_t PedVal, itmp;
Double_t mean, rms;
Double_t ratio;
//debug canvas
TCanvas *cfitTest = new TCanvas("cfitTest", "fit tests", 1200, 780);
cfitTest->Divide(1,nevt);
// loop on events
gProgress->Reset();
gProgress->SetMax(nevt);
gSystem->ProcessEvents();
while (ievt <= nevt && !flagEnd) {
fread((void *) &event_data, 1, sizeof(event_data), fdata);
if (feof(fdata))
flagEnd = 1;
p = (struct channel_struct *) &event_data.ch[0]; // read bunch of data
dep = (struct channel_struct *) &event_data.ch[1]; // read bunch of data
// goes to channel to analyze
p += anaChannel;
// read data, subtract pedestals values and save results in grAnaChDataTemp graph with
// fixed error for each point (x = 0.5 and y = 2.1). Also generate an array with Domino
// X and Y values
TGraphErrors *grAnaChDataTemp = new TGraphErrors(DOMINO_NCELL);
for (int ch = 0; ch < DOMINO_NCELL; ch++) {
// Read pedestal value for this cell
grPed->GetPoint(ch, itmp, PedVal);
chtmp = (Double_t)(p->data[ch]); // data value
chtmp = chtmp - PedVal;
grAnaChDataTemp->SetPoint(ch, (Double_t) ch, chtmp);
grAnaChDataTemp->SetPointError(ch, 0.5, 2.1);
}
// create fit functions
TF1 *fsin = new TF1("fsin", sigSin, 0., 1024., 4);
fsin->SetParameters(600., 255., 150., 150.);
fsin->SetParNames("amplitude", "Period", "Phase", "DC-Offset");
grAnaChDataTemp->Fit("fsin", "Q");
TF1 *fsinFit = grAnaChDataTemp->GetFunction("fsin");
fsinFit->SetParNames("amplitude", "Period", "Phase", "DC-Offset");
// debug
cfitTest->cd(ievt);
grAnaChDataTemp->SetMarkerStyle(20);
grAnaChDataTemp->SetMarkerSize(0.3);
grAnaChDataTemp->GetYaxis()->SetLabelSize(0.12);
grAnaChDataTemp->GetXaxis()->SetLabelSize(0.12);
grAnaChDataTemp->Draw("APE");
Double_t fitPeriod, fitAmplitude, chisquare;
fitPeriod = fsinFit->GetParameter("Period");
fitAmplitude = TMath::Abs(fsinFit->GetParameter("amplitude"));
chisquare = fsinFit->GetChisquare();
cout << "period: " << fitPeriod << " amplitude: " << fitAmplitude << " chisquare: " << chisquare << endl;
if(chisquare > 0.1e+06) {
gProgress->Increment(1);
gSystem->DispatchOneEvent(kTRUE);
ievt++;
continue;
}
gProgress->Increment(1);
gSystem->DispatchOneEvent(kTRUE);
hPeriod->Fill(fitPeriod);
fitusati++;
ievt++;
}
cout << "fit scartati :" << nevt - fitusati << endl;
//draw
TString Title = "Period distribution for nevt events";
TCanvas *cPeriod = new TCanvas("cPeriod", Title, 700, 700);
hPeriod->Draw();
hPeriod->Fit("gaus");
TF1 *fgausFit = hPeriod->GetFunction("gaus");
//mean = fgausFit->GetParameter(1);
// rms = fgausFit->GetParameter(2);
mean = hPeriod->GetMean();
rms = hPeriod->GetRMS();
TString OutFile = "Period";
OutFile += nevt;
OutFile += "events.dat";
FILE *f = fopen(OutFile.Data(), "w");
fwrite(&mean, sizeof(mean), 1, f);
fwrite(&rms, sizeof(rms), 1, f);
((TGMainFrame *) gProgress->GetParent())->CloseWindow();
fclose(f);
cout << "mean: " << mean << " rms: " << rms << endl;
fclose(fdata);
}
