TCanvas* pHitSpecPos( )
{
TCanvas* c = new TCanvas("cHitSpecPos","cHitSpecPos",1000,1100);
c->Divide(2,2);
TVirtualPad* p; TH2D *h;
TText t; t.SetTextColor(4);
p =c->cd(1); p->SetLogy(); p->SetGrid(1,0);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhi_BarMinus");
h->GetYaxis()->SetRange(4,33);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.15, "BARREL MU MINUS");
p =c->cd(2); p->SetLogy(); p->SetGrid(1,0);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhi_BarPlus");
h->GetYaxis()->SetRange(4,32);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.15, "BARREL MU PLUS");
p =c->cd(3); p->SetLogy(); p->SetGrid(1,0);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhi_EndMinus");
h->GetYaxis()->SetRange(4,32);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.15, "ENDCAP MU MINUS");
p =c->cd(4); p->SetLogy(); p->SetGrid(1,0);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhi_EndPlus");
h->GetYaxis()->SetRange(4,32);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.15, "ENDCAP MU PLUS");
return c;
}
void PlotImages()
{
gStyle->SetOptStat(0);
gStyle->SetPadRightMargin(0.2);
string filename[1];
char buffer[100];
char buffertext[100];
for (int seed=55; seed<56; seed++)
{
int n=sprintf(buffer, "/home/les67/locust_faketrack_waterfall.root");
const char *file = buffer;
TFile* f = TFile::Open(file);
if (!((!f)||f->IsZombie()))
{
TH2D* hspectrogram = GetSpectrogram(file);
TH2D* hlabels = GetLabels(hspectrogram, 40e-21); // threshold for labeling goes here.
// TGraph* grlabels = GetLabelGraph(hlabels);
// PrintLabels(grlabels); // print labels to terminal.
hspectrogram->GetXaxis()->SetRangeUser(0.,0.02);
hspectrogram->GetYaxis()->SetRangeUser(149.e6, 170.e6);
TCanvas *c = new TCanvas;
n=sprintf(buffertext, "hspectrogram_%d.png", seed);
const char *pngname = buffertext;
hspectrogram->GetYaxis()->SetTitleOffset(1.25);
hspectrogram->DrawCopy("colz");
/*
grlabels->SetMarkerColor(2);
grlabels->SetMarkerStyle(8);
grlabels->SetMarkerSize(0.6);
grlabels->SetLineWidth(3.);
grlabels->SetLineColor(2);
grlabels->Draw("psame");
*/
/*
TImage *img = TImage::Create();
img->FromPad(c);
img->WriteImage(pngname);
delete img;
delete hspectrogram;
delete c;
*/
f->Close();
}
}
}
TCanvas* pHitSpecDet(const std::string& s)
{
TCanvas* c = new TCanvas( ("HitSpecDet"+s).c_str(), ("HitSpecDet"+s).c_str(), -2);
c->SetLogx();
TH2D* h = (TH2D*)gROOT->FindObject(s.c_str());
h->GetXaxis()->SetRange(4,32);
std::stringstream str;
str<<h->GetTitle();
TText t;
t.SetTextColor(4);
t.SetTextAlign(11);
t.SetTextSize(0.035);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.2, str.str().c_str());
return c;
}
void NewCosmicstest(){
//gROOT->Reset();
TStopwatch *clock0 = new TStopwatch();
TFile *fout = new TFile("Cosmictest.root","RECREATE");
bool high = 1;
//Float_t z0 = 1400;
Float_t z0 = 0;
Float_t yTop = 600;
Float_t xTop = 300;
Float_t zTop = 3650;
Float_t xdist = 3000;
Float_t zdist = 9000;
TH2D *StartXZ = new TH2D("xz","xz;x[cm];z[cm]",30,-(xdist/2),xdist/2,90,z0 - 4500,z0 + 4500);
TH1D *StartTheta = new TH1D("#theta","#theta; #theta_Zenith",100,0,2);
TH1D *StartPhi = new TH1D("#phi","#phi; #phi",50,0,7);
TH1D *StartPHigh = new TH1D("PHigh","P; P[GeV]",100,-1,3);
TH1D *StartP = new TH1D("P","P;P[GeV]",100,-1,3);
TH1D *StartPLow = new TH1D("PLow","P;P[GeV]",100,-1,3);
//TH1D *StartP = new TH1D("P","P;P[GeV]",100,0.1,1000);
BinLogX(StartP);
BinLogX(StartPHigh);
BinLogX(StartPLow);
TH2D *StartPTheta = new TH2D("P,Theta","P-Theta;P[GeV];#theta",150,-1,3,50,0,2);
BinLogX(StartPTheta);
TH2D *MCXZ = new TH2D("MCxz","xz;x[cm];z[cm]",30,-(xdist/2),xdist/2,90,z0 - 4500,z0 + 4500);
TH1D *MCTheta = new TH1D("MC#theta","#theta; #theta",100,0,2);
TH1D *MCPhi = new TH1D("MC#phi","#phi, #phi",50,0,7);
TH1I *MCnTry = new TH1I("nTry","nTry",100,4.6,5);
Double_t totalweightsum=0;
Double_t px,py,pz,x,y,z,w, weighttest, weight;
Int_t nTry,nInside,nEvent,nTest;
Co3Rng *fRandomEngine = new Co3Rng();
int EVENTS = 400000;
Int_t kmax = 40000;
float weight1,weight1Low,weight1High;
weight1Low = 123*xdist*zdist/EVENTS/10000; // expected #muons per spill/ #simulated events per spill 174*30*90/500000
cout<<weight1Low<<endl;
double I = fRandomEngine->fSpectrumH->Integral(100,1000);
weight1High = 2*TMath::Pi()/3*I*xdist*zdist/EVENTS/10000;
//weight2 = 900/I; // 1/(mean momentum weight), P_max-P_min/(3*0.3044/2pi)
cout<< weight1High<<endl;
Float_t weight3 = 4.833931503; // MC average of nTry/nEvents 4.833949997 +- 0.000010494
weight1 = 1;
weight = weight1 / weight3;
nInside = 0; nEvent = 0; nTest = 0; weighttest = 0;
y = 1900; //20m over beam axis
w = weight/kmax;
clock0->Start();
for(Int_t k = 0;k<kmax;k++){
cout<<k<<endl;
nTry =0;
for(Int_t i=0;i<EVENTS;i++){
Bool_t hit = 0;
do{
// shower characteristics
double phi = fRandomEngine->Uniform(0,2*TMath::Pi());
double theta = fRandomEngine->fTheta->GetRandom();
//momentum components
px = TMath::Sin(phi)*TMath::Sin(theta);
pz = TMath::Cos(phi)*TMath::Sin(theta);
py = -TMath::Cos(theta);
// start position, area 1120m^2
x = fRandomEngine->Uniform(-xdist/2,xdist/2);
z = fRandomEngine->Uniform(z0 - zdist/2, z0 + zdist/2);
// claim for flight close to the actual detector
if((abs(x-(y+yTop)*px/py) < xTop && abs(z-z0-(y+yTop)*pz/py) < zTop) || (abs(x-(y-yTop)*px/py) < xTop && abs(z-z0-(y-yTop)*pz/py) < zTop)|| abs(y-(x+xTop)*py/px)<yTop && abs(z-z0-(x+xTop)*pz/px)<zTop || abs(y-(x-xTop)*py/px)<yTop && abs(z-z0-(x-xTop)*pz/px)<zTop){
// muon momentum
double P;
//if (!high) {P = fRandomEngine->NEWstest(theta);}
//else {P = fRandomEngine->fSpectrumH->GetRandom();}
// high
P = fRandomEngine->fSpectrumH->GetRandom();
w = weight1High/weight3/kmax;
StartP->Fill(P,w);
StartPHigh->Fill(P,w);
StartPTheta->Fill(P,theta,w);
// low
P = fRandomEngine->NEWstest(theta);
w = weight1Low/weight3/kmax;
StartP->Fill(P,w);
StartPLow->Fill(P,w);
StartPTheta->Fill(P,theta,w);
px = px*P;
py = py*P;
pz = pz*P;
//muon or anti-muon
hit = 1; nInside++;
// StartP->Fill(P,w);
w = weight1Low/weight3/kmax + weight1High/weight3/kmax;
StartTheta->Fill(theta,w); // kein Weight!
StartPhi->Fill(phi,w); // kein Weight!
StartXZ->Fill(x,z,w); // kein Weight!
StartPTheta->Fill(P,theta,w);
}
nTry++;
weighttest += w;
MCTheta->Fill(theta,w); // kein Weight!
MCPhi->Fill(phi,w);
MCXZ->Fill(x,z,w);
nTest++;
}while(!hit);
nEvent++;
}
MCnTry->Fill(1.0*nTry/EVENTS);
}
clock0->Stop();
delete fRandomEngine;
cout<<nEvent<<" events have been generated."<<endl;
cout<<"There is a total of "<<nInside<<"/"<<nTest<<" muons that passed close enough to the detector."<<endl;
cout<<"Including the given weight this corresponds to ";
cout<<kmax*weighttest/xdist/zdist*10000/123.3044<<" spills (1 spill = "<<xdist*zdist*123.3044/10000;
cout<<" real cosmic muons = "<<EVENTS<<" simulated events)."<<endl;
cout<<weighttest<<endl;
clock0->Print();
Double_t meanflux = 0;
Int_t binsum = 0;
for (Int_t ix = 2; ix<29;ix++){
for (Int_t iz = 2; iz<89;iz++){
binsum++;
meanflux += MCXZ->GetBinContent(ix,iz);
}
}
cout<< "meanflux: "<<meanflux/binsum<<" "<< meanflux<<endl<<endl;
printf("MCnTry: %.9f +- %.9f",MCnTry->GetMean(),MCnTry->GetMeanError());
cout<<endl<<endl;
TCanvas *c1 = new TCanvas("c1","c1",400,400);
c1->Divide(1,1);
c1->cd(1);
MCnTry->DrawCopy();
TCanvas *c4 = new TCanvas("c4","c4",400,400);
c4->Divide(1,1);
c4->cd(1);
StartPTheta->DrawCopy("SURF2");
gPad->SetLogx();
//TCanvas *c2 = new TCanvas("c2","c2",400,400);
//c2->Divide(1,1);
//c2->cd(1);
//gPad->SetLogy();
//wei->DrawCopy();
TCanvas *c3 = new TCanvas("c3","c3",1600,800);
c3->Divide(4,2);
c3->cd(1);
StartXZ->DrawCopy("COLZ");
c3->cd(2);
//MCP->SetLineColor(kGreen);
// MCP->DrawCopy();
//StartP->DrawCopy();
//TF1 *fs = new TF1("fs",NEWs,1,100,2);
//fs->FixParameter(0, 0);
//fs->FixParameter(1, 500);
//StartP->Add(fs,-1);
StartP->DrawCopy();
//StartP->Fit(fs,"I");
//
//fs->DrawCopy("SAME");
//gPad->SetLogy();
gPad->SetLogx();
c3->cd(3);
MCTheta->SetLineColor(kGreen);
MCTheta->DrawCopy();
StartTheta->DrawCopy("SAME");
//TF1 *f1 = new TF1("f1","[0]*cos(x)*cos(x)",1.57,3.14);
//StartTheta->Fit(f1,"","",1.57,3.14);
gPad->SetLogy(0);
gPad->SetLogx(0);
c3->cd(4);
MCPhi->SetLineColor(kGreen);
MCPhi->DrawCopy();
StartPhi->DrawCopy("SAME");
//TF1 *f1 = new TF1("f1","[0]*cos(x)*cos(x)",1.57,3.14);
//StartTheta->Fit(f1,"","",1.57,3.14);
gPad->SetLogy(0);
gPad->SetLogx(0);
c3->cd(5);
MCXZ->DrawCopy("COLZ");
c3->cd(6);
//MCP->Divide(StartP);
// MCP->DrawCopy();
gPad->SetLogy(0);
gPad->SetLogx(0);
c3->cd(7);
//MCTheta->Divide(StartTheta);
MCTheta->DrawCopy();
gPad->SetLogy();
gPad->SetLogx(0);
c3->cd(8);
//MCPhi->Divide(StartPhi);
MCPhi->DrawCopy();
gPad->SetLogy(0);
gPad->SetLogx(0);
c3->Update();
c3->SaveAs("Start.png");
StartXZ->Write();
StartTheta->Write();
StartPhi->Write();
StartP->Write();
StartPLow->Write();
StartPHigh->Write();
StartPTheta->Write();
MCXZ->Write();
MCTheta->Write();
MCPhi->Write();
MCnTry->Write();
fout ->Close();
}
void scan2() {
/* TFile f1("hist.root");
TFile f2("SysTot.root");
TH1D *datahist = (TH1D*)f1.Get("datahist");
TH1D *fithist = (TH1D*)f1.Get("fithist");
TH1D *totlow = (TH1D*)f2.Get("totlow");
TH1D *tothigh = (TH1D*)f2.Get("tothigh");
*/
TF1 *fun1 = new TF1("fun",fun,0,1000,3);
TFile f("Output.root");
TH1F *datahist = dynamic_cast<TH1F*> (f.Get("InvMass"));
TH1F *fithist = dynamic_cast<TH1F*> (f.Get("hist_err"));
TH1F *tothigh = dynamic_cast<TH1F*> (f.Get("SystPlus"));
TH1F *totlow = dynamic_cast<TH1F*> (f.Get("SystMinus"));
new TCanvas();
datahist->DrawCopy();
fithist->DrawCopy("same");
gPad->SetEditable(0);
/* if (datahist->IsZombie()) { std::cout << "Err! datahist not found " << std::endl; return; }
if (fithist->IsZombie()) { std::cout << "Err! err_hist not found " << std::endl; return; }
if (tothigh->IsZombie()) { std::cout << "Err! syst_plus hist not found " << std::endl; return; }
if (totlow->IsZombie()) { std::cout << "Err! syst_minus hist not found " << std::endl; return; }
*/
TH1D *p = new TH1D("p","Probability",100,150,900);
for (int i = 1; i<=fithist->GetNbinsX(); i++)
{
double mass = fithist->GetBinCenter(i);
if (mass>440 && mass<450)
{
double sigma = sqrt(2.0)*sqrt(pow(0.135*sqrt(mass/2.0),2)+
pow(0.02*(mass/2.0),2));
cout<< " ===================== mass +/- sigma = " << mass<<"+/-"<<sigma<<endl;
int bin1 = fithist->FindBin(mass-sigma/2);
int bin2 = fithist->FindBin(mass+sigma/2);
cout<<mass<<" "<<bin1<<" "<<bin2<<endl;
double data = 0;
double bg = 0;
double err = 0;
for (int j = bin1; j<=bin2; j++)
{
data+=datahist->GetBinContent(j);
bg+=fithist->GetBinContent(j);
double err1 = -totlow->GetBinContent(j);
double err2 = tothigh->GetBinContent(j);
err+=TMath::Max(err1,err2)*bg; //why multiply by bg???
}
cout << "Total Data/Bg+/-err in mass window[" << mass << "] = "<< data <<"/ "<< bg << "+/-" << err <<endl;
double prob = 0;
fun1->SetParameter(0,bg);
fun1->SetParameter(1,err);
for (int j = int(data+0.001); j<100; j++) {
fun1->SetParameter(2,j);
//fun1->Print();
//cout << "Evaluating Intrgral for j = " << j << " from x0= " << TMath::Max(0.0,bg-10*err) << " to x1 = " << bg+10*err << endl;
double val = fun1->Integral(TMath::Max(0.0,bg-10*err),bg+10*err);
//double val = fun1->Integral(TMath::Max(0.0,bg-2*err),bg+2*err);
/*for (int z=TMath::Max(0.0,bg-2*err); z < bg+2*err; ++z)
{
if (c<4)
{
std::cout << "func at [" << z << "]=" << fun1->Eval(z) << std::endl;
}
}
*/
prob += val;
}
cout<< "Prob for mass[" << mass<<"]="<< prob <<endl;
p->SetBinContent(p->FindBin(mass),prob);
}
}
/*
delete gRandom;
gRandom = (TRandom*) new TRandom3;
gRandom->SetSeed(3);
TH1D *minp = new TH1D("minp","Minimum Probability of Each PseudoExpt",100,0,0.2);
//int nexp = 50000;
int nexp = 10;
TH1D *htemp = (TH1D*)datahist->Clone("htemp");
for (int iexp = 0; iexp<nexp; iexp++){
//if (iexp%10==0) cout<<iexp<<endl;
//generate pseudo-experiments
htemp->Reset();
for (int i = 1; i<=htemp->GetNbinsX(); i++){
double mass = htemp->GetBinCenter(i);
if (mass>150&&mass<650){
double bg = fithist->GetBinContent(i);
double err1 = -totlow->GetBinContent(i);
double err2 = tothigh->GetBinContent(i);
double err = TMath::Max(err1,err2)*bg;
double mean = gRandom->Gaus(bg,err);
if (mean<0) mean = 0;
htemp->SetBinContent(i,gRandom->Poisson(mean));
}
}
double minprob = 2.;
for (int i = 1; i<=fithist->GetNbinsX(); i++){
double mass = fithist->GetBinCenter(i);
if (mass>150&&mass<650){
double sigma = sqrt(2.0)*sqrt(pow(0.135*sqrt(mass/2.0),2)+
pow(0.02*(mass/2.0),2));
//cout<<mass<<" "<<sigma<<endl;
int bin1 = fithist->FindBin(mass-sigma/2);
int bin2 = fithist->FindBin(mass+sigma/2);
//cout<<mass<<" "<<bin1<<" "<<bin2<<endl;
double data = 0;
double bg = 0;
double err = 0;
for (int j = bin1; j<=bin2; j++){
data+=htemp->GetBinContent(j);
bg+=fithist->GetBinContent(j);
double err1 = -totlow->GetBinContent(j);
double err2 = tothigh->GetBinContent(j);
err+=TMath::Max(err1,err2)*bg;
}
//cout<<mass<<" "<<data<<" "<<bg<<" "<<err<<endl;
double prob = 0;
fun1->SetParameter(0,bg);
fun1->SetParameter(1,err);
for (int j = int(data+0.001); j<100; j++){
fun1->SetParameter(2,j);
prob += fun1->Integral(TMath::Max(0.0,bg-10*err),bg+10*err);
}
if (prob<minprob) minprob=prob;
}
}
minp->Fill(minprob);
}
*/
TCanvas *c1 = new TCanvas("c1","c1");
TH2D *fr = new TH2D("fr","",100,150,900,100,1e-5,2);
fr->SetStats(0);
fr->SetXTitle("M(#gamma,lead jet)(GeV)");
fr->SetYTitle("Prob of fluctuation #geq N_{obs}");
fr->GetXaxis()->CenterTitle();
fr->GetYaxis()->CenterTitle();
fr->DrawCopy();
p->SetLineWidth(2);
p->DrawCopy("same");
double minp=0;
double mgg=0;
double minc = 10;
for (int i = 1; i<=p->GetNbinsX(); i++) {
double bin = p->GetBinCenter(i);
double binc = p->GetBinContent(i);
if (binc<minc) {
minp = binc;
mgg = bin;
minc = binc;
}
}
cout<<mgg<<" "<<minp<<endl;
gPad->SetLogy();
double p1s = 0.00458319;
double m1s = 0.0435982;
double s3s = 0.000100319;
TLine *l1 = new TLine(150,p1s,900,p1s);
TLine *l2 = new TLine(150,m1s,900,m1s);
TLine *l3 = new TLine(150,s3s,900,s3s);
l1->SetLineColor(4);
l2->SetLineColor(4);
l3->SetLineColor(2);
l1->SetLineWidth(2);
l2->SetLineWidth(2);
l3->SetLineWidth(2);
l1->Draw();
l2->Draw();
l3->Draw();
TLatex *t1 = new TLatex(250,m1s/4,"Expected Range for Min. Obs. Prob.");
t1->SetTextColor(4);
t1->SetTextSize(0.05);
t1->Draw();
TLatex *t2 = new TLatex(350,s3s*1.5,"3 #sigma evidence level");
t2->SetTextColor(2);
t2->SetTextSize(0.05);
t2->Draw();
TLatex *t3 = new TLatex(0.3,0.93,"CDF Run II Preliminary, 2.0 fb^{-1}");
t3->SetNDC(true);
t3->SetTextSize(0.06);
t3->Draw();
//
// TCanvas *c2 = new TCanvas("c2","c2");
// minp->DrawCopy();
//cout<<minp->GetMean()<<endl;
}
int genbod_diff(const char* filename1, const char* filename2, bool ifSave = false)
{
TFile* f1 = new TFile(filename1,"READ");
TFile* f2 = new TFile(filename2,"READ");
TH2D* numF1 = ((TH2D*) f1->Get("cnumepNonIdEP"));
TH2D* numF2 = ((TH2D*) f2->Get("cnumepNonIdEP"));
TH2D* denF1 = ((TH2D*) f1->Get("cdenepNonIdEP"));
TH2D* denF2 = ((TH2D*) f2->Get("cdenepNonIdEP"));
TH2D* numB1 = ((TH2D*) f1->Get("cnumepNonIdEPTrue"));
TH2D* numB2 = ((TH2D*) f2->Get("cnumepNonIdEPTrue"));
TH2D* denB1 = ((TH2D*) numF1->Clone());
TH2D* denB2 = ((TH2D*) numF2->Clone());
TH2D* numC1 = ((TH2D*) numB1->Clone());
TH2D* numC2 = ((TH2D*) numB2->Clone());
TH2D* denC1 = ((TH2D*) f1->Get("cdenepNonIdEPTrue"));
TH2D* denC2 = ((TH2D*) f2->Get("cdenepNonIdEPTrue"));
double eta = 1.1;
gStyle->SetOptStat(111);
//TCanvas* canv = new TCanvas("canv", "GENBOD results", 10,10,800,600);
TCanvas* canv = new TCanvas("canv", "GENBOD results", 10,10,1600,1200);
canv->Divide(3,3);
//TCanvas* canvND = new TCanvas("canvND", "liczniki i mianowniki ", 10,10,800,600);
TCanvas* canvND = new TCanvas("canvND", "liczniki i mianowniki ", 10,10,1600,1200);
canvND->Divide(2,2);
////// Pure Corr fun
TH2D* numdiff = (TH2D*)numF1->Clone();
numdiff->Divide(numF2);
canvND->cd(1); numdiff->DrawCopy("colz");
TH2D* dendiff = (TH2D*)denF1->Clone();
dendiff->Divide(denF2);
canvND->cd(2); dendiff->DrawCopy("colz");
double sF1 = numF1->GetEntries()/denF1->GetEntries();
numF1->Divide(denF1);
numF1->Scale(1./sF1);
numF1->GetYaxis()->SetRangeUser(-eta,eta);
double sF2 = numF2->GetEntries()/denF2->GetEntries();
numF2->Divide(denF2);
numF2->Scale(1./sF2);
numF2->GetYaxis()->SetRangeUser(-eta,eta);
canv->cd(1);
TH2D* corrF1 = (TH2D*) numF1->Clone();
corrF1->Draw("surf1");
DrawNicely(corrF1, 0,0, filename1);
canv->cd(2);
TH2D* corrF2 = (TH2D*) numF2->Clone();
corrF2->Draw("surf1");
DrawNicely(corrF2, 0,0, filename2);
canv->cd(3);
numF1->Divide(numF2);
DrawNicely(numF1, 0,0, "Femtoscopic component");
numF1->Draw("colz");
////// Pure Bkg
TH2D* numdiffTrue = (TH2D*)numB1->Clone();
numdiffTrue->Divide(numB2);
canvND->cd(3); numdiffTrue->DrawCopy("colz");
double sB1 = numB1->GetEntries()/denB1->GetEntries();
numB1->Divide(denB1);
numB1->Scale(1./sB1);
numB1->GetYaxis()->SetRangeUser(-eta,eta);
double sB2 = numB2->GetEntries()/denB2->GetEntries();
numB2->Divide(denB2);
numB2->Scale(1./sB2);
numB2->GetYaxis()->SetRangeUser(-eta,eta);
canv->cd(4);
TH2D* corrB1 = (TH2D*) numB1->Clone();
corrB1->Draw("surf1");
DrawNicely(corrB1, 0,0, filename1);
canv->cd(5);
TH2D* corrB2 = (TH2D*) numB2->Clone();
corrB2->Draw("surf1");
DrawNicely(corrB2, 0,0, filename2);
canv->cd(6);
numB1->Divide(numB2);
DrawNicely(numB1, 0,0, "Background component");
numB1->DrawCopy("colz");
////// Norm Corr fun
TH2D* dendiffTrue = (TH2D*)denC1->Clone();
dendiffTrue->Divide(denC2);
canvND->cd(4); dendiffTrue->DrawCopy("colz");
double sC1 = numC1->GetEntries()/denC1->GetEntries();
numC1->Divide(denC1);
numC1->Scale(1./sC1);
numC1->GetYaxis()->SetRangeUser(-eta,eta);
double sC2 = numC2->GetEntries()/denC2->GetEntries();
numC2->Divide(denC2);
numC2->Scale(1./sC2);
numC2->GetYaxis()->SetRangeUser(-eta,eta);
canv->cd(7);
TH2D* corrC1 = (TH2D*) numC1->Clone();
corrC1->Draw("surf1");
DrawNicely(corrC1, 0,0, filename1);
canv->cd(8);
TH2D* corrC2 = (TH2D*) numC2->Clone();
corrC2->Draw("surf1");
DrawNicely(corrC2, 0,0, filename2);
canv->cd(9);
numC1->Divide(numC2);
DrawNicely(numC1, 0,0, "Correlation function");
numC1->DrawCopy("colz");
//save
if (ifSave)
{
canv->Print(Form("diff_%s_%s_global.png",filename1,filename2));
canvND->Print(Form("diff_%s_%s_global_NumDen.png",filename1,filename2));
}
}
// ----------------------------------------------------------------------
void moduleSummary(const char *dirName = "", const char *module_type)
{
printf("\nmoduleSummary> Starting ...\n");
nChips = 16;
startChip = 0;
if ( !strcmp(module_type,"a") ) {
nChips = 8;
startChip = 0;
}
if ( !strcmp(module_type,"b") ) {
nChips = 8;
startChip = 8;
}
sprintf(fname, "%s/%s", dirName, fileName);
inputFile = fopen(fname, "r");
if (!inputFile) {
printf("\nmoduleSummary> ----> COULD NOT FIND %s IN DIRECTORY %s\n", fileName, dirName);
printf("moduleSummary> ----> Aborting execution of moduleSummaryPage.C ... \n\n", fileName, dirName);
break;
}
sprintf(fname, "%s/%s", dirName, adFileName);
inputFile = fopen(fname, "r");
if (!inputFile) {
sprintf(adFileName,"%s", fileName);
}
else {
printf("moduleSummary> ----> found separate address decoding file: %s\n", adFileName);
fclose (inputFile);
}
sprintf(fname, "%s/../../macros/criteria.dat", dirName);
if ( !readCriteria(fname) ) {
printf("\nmoduleSummary> ----> COULD NOT READ GRADING CRITERIA !!!\n");
printf("moduleSummary> ----> Aborting execution of moduleSummaryPage.C ... \n\n", fileName, dirName);
break;
}
TFile *f = new TFile(Form("%s/%s", dirName, fileName));
gROOT->SetStyle("Plain");
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
gStyle->SetTitle(0);
gStyle->SetStatFont(132);
gStyle->SetTextFont(132);
gStyle->SetLabelFont(132, "X");
gStyle->SetLabelFont(132, "Y");
gStyle->SetLabelSize(0.08, "X");
gStyle->SetLabelSize(0.08, "Y");
gStyle->SetTitleSize(0.08, "X");
gStyle->SetTitleSize(0.08, "Y");
gStyle->SetNdivisions(10, "X");
gStyle->SetNdivisions(8, "Y");
gStyle->SetTitleFont(132);
gROOT->ForceStyle();
tl = new TLatex;
tl->SetNDC(kTRUE);
tl->SetTextSize(0.1);
ts = new TLatex;
ts->SetNDC(kTRUE);
ts->SetTextSize(0.09);
line = new TLine;
line->SetLineColor(kRed);
line->SetLineStyle(kDashed);
box = new TBox;
box->SetFillColor(3);
box->SetFillStyle(3004);
c1 = new TCanvas("c1", "", 900, 700);
c1->Clear();
c1->Divide(1,4);
int EColor[6] = { 4, 8, 6, 1 };
int EMarkerStyle[10] = { 4, 25, 26, 23, 21, 27, 28, 20, 30, 29 };
TH2D *mThreshold = new TH2D("mThreshold", "", 416, 0., 416., 160, 0., 160.);
TH2D *mBumps = new TH2D("mBumps", "", 416, 0., 416., 160, 0., 160.);
TH2D *mAddr = new TH2D("mAddr", "", 416, 0., 416., 160, 0., 160.);
double mThresholdmin(0.), mThresholdmax(255.);
const int nfit = 4;
TString fitNames[] = {TString("Noise"), TString("Vcal Thr. Width"), TString("Rel. Gain Width"), TString("Pedestal Spread")};
float limitB[] = { noiseB, trimmingB, gainB, pedestalB }; // limit for grading
float limitC[] = { noiseC, trimmingC, gainC, pedestalC }; // limit for grading
float max[] = { noiseB + 100., trimmingB + 100., gainB + 0.05, pedestalB + 1000. }; // scaling of histogram
TH1D *fit[nfit];
TH1D *fitEntries[nfit];
for(int ifit = 0; ifit < nfit; ++ifit) {
fit[ifit] = new TH1D(Form("%s", fitNames[ifit].Data()),"", nChips, float(startChip), float(startChip+nChips));
fitEntries[ifit] = new TH1D(Form("n%s", fitNames[ifit].Data()),"", nChips, float(startChip), float(startChip+nChips));
fit[ifit]->SetLineColor(EColor[ifit]);
fit[ifit]->SetMarkerColor(EColor[ifit]);
fit[ifit]->SetMarkerStyle(EMarkerStyle[ifit]);
fit[ifit]->SetMarkerSize(0.5);
}
for (int i = startChip; i < startChip+nChips; i++) { addVcalThreshold(dirName, i, mThreshold); }
for (int i = startChip; i < startChip+nChips; i++) { addChip("vcals_xtalk", i, mBumps); }
TFile *f1 = new TFile(Form("%s/%s", dirName, adFileName));
for (int i = startChip; i < startChip+nChips; i++) { addChip("AddressDecoding", i, mAddr);}
if ( nChips < 16 && startChip == 0 ) {
for (int i = 8; i < nChips+8; i++) { removeChip(i, mThreshold, -99); }
for (int i = 8; i < nChips+8; i++) { removeChip(i, mBumps, -99); }
for (int i = 8; i < nChips+8; i++) { removeChip(i, mAddr, -99); }
}
if ( nChips < 16 && startChip == 8 ) {
for (int i = 0; i < nChips; i++) { removeChip(i, mThreshold, -99); }
for (int i = 0; i < nChips; i++) { removeChip(i, mBumps, -99); }
for (int i = 0; i < nChips; i++) { removeChip(i, mAddr, -99); }
}
TString noslash(dirName);
noslash.ReplaceAll("/", "");
noslash.ReplaceAll("..", "");
c1->cd(1);
if ( mThreshold->GetMaximum() < mThresholdmax ) {
mThresholdmax = mThreshold->GetMaximum();
}
if ( mThreshold->GetMinimum() > mThresholdmin ) {
mThresholdmin = mThreshold->GetMinimum();
}
mThreshold->GetZaxis()->SetRangeUser(mThresholdmin,mThresholdmax);
mThreshold->DrawCopy("colz");
tl->DrawLatex(0.1, 0.92, "Vcal threshold");
tl->DrawLatex(0.75, 0.92, Form("%s",noslash.Data()));
if ( nChips < 16 && startChip == 0 ) {
box->SetFillColor(29);
box->DrawBox( 0, 0, 416, 80);
}
if ( nChips < 16 && startChip == 8 ) {
box->SetFillColor(29);
box->DrawBox( 0, 80, 416, 160);
}
c1->cd(2);
mBumps->SetMaximum(2.);
mBumps->SetMinimum(-2.);
mBumps->DrawCopy("colz");
tl->DrawLatex(0.1, 0.92, "Bump bonding map");
if ( nChips < 16 && startChip == 0 ) {
box->SetFillColor(29);
box->DrawBox( 0, 0, 416, 80);
}
if ( nChips < 16 && startChip == 8 ) {
box->SetFillColor(29);
box->DrawBox( 0, 80, 416, 160);
}
c1_3->Divide(3,1);
c1_3->cd(1);
gPad->SetBottomMargin(0.2);
gPad->SetLogy(1);
gPad->SetLeftMargin(0.20);
gPad->SetRightMargin(0.01);
float V, A;
float x_V[250], y_A[250];
int i(0);
float iv100(0.);
float iv150(0.);
float iv150_17(0.);
float iv100_17(0.);
float variation(0.);
float variation_17(0.);
FILE *ivFile, *sumWrite, *sumRead, *gradWrite;
sprintf(fname, "%s/iv.dat", dirName);
ivFile = fopen(fname, "r");
if (!ivFile)
{
printf("moduleSummary> !!!!!!!!! ----> Could not open file %s to read data\n", fname);
}
else {
fclose(ivFile);
ifstream is(fname);
char buffer[200];
while (is.getline(buffer, 200, '\n')) {
// check that line starts with a number
if (buffer[0] != '1' && buffer[0] != '2' && buffer[0] != '3' && buffer[0] != '4' &&
buffer[0] != '5' && buffer[0] != '6' && buffer[0] != '7' && buffer[0] != '8' && buffer[0] != '9' ) {continue;}
sscanf(buffer, "%e %e", &V, &A);
x_V[i] = V;
y_A[i] = 1e6*A;
if ( i > 0 ) {
// check that voltage is increasing & find current at 150 V
if ( x_V[i] < x_V[i-1] ) { continue; }
if ( x_V[i] >= 100. && x_V[i-1] <= 100. ) { iv100 = y_A[i-1] + (100. - x_V[i-1])*(y_A[i] - y_A[i-1])/(x_V[i] - x_V[i-1]); }
if ( x_V[i] >= 150. && x_V[i-1] <= 150. ) { iv150 = y_A[i-1] + (150. - x_V[i-1])*(y_A[i] - y_A[i-1])/(x_V[i] - x_V[i-1]); }
}
i++;
}
if ( iv100 != 0. ) { variation = iv150/iv100; }
else { variation = 0; }
if ( i > 0 ) {
TGraph *g1 = new TGraph(i,x_V,y_A);
g1->Draw("aC");
g1->SetTitle("");
g1->SetLineColor(4);
g1->SetLineWidth(2);
g1->GetXaxis()->SetTitle("Voltage [V]");
g1->GetYaxis()->SetTitle("Current [#muA]");
g1->GetYaxis()->SetDecimals();
g1->GetYaxis()->SetTitleOffset(1.2);
g1->GetYaxis()->CenterTitle();
tl->DrawLatex(0.2, 0.92, "I-V-Curve");
ts->DrawLatex(0.25, 0.78, Form("I(150 V) = %.2f #muA", iv150));
ts->DrawLatex(0.25, 0.65, Form("I_{150}/I_{100} = %.2f ", variation));
}
}
char mod[20] = noslash.Data(), waf[20] = "", test[20] = "",tmon[20], trim[20], ph[20], cycl[20];
int tday;
int dp(0), dm(0), db(0), dt(0), da(0);
int root(0), a(0), b(0), c(0);
int badRocs[3] = {0, 0, 0};
char iv;
float voltage, current;
float temp, tempSigma, sollTemp;
float cyclMean, cyclSigma;
char string[1000];
c1_3->cd(2);
sprintf(fname, "%s/summaryTest.txt", dirName);
sumRead = fopen(fname, "r");
if (!sumRead)
{
printf("\nmoduleSummary> !!!!!!!!! ----> File %s does not exist yet...\n", fname);
printf("moduleSummary> !!!!!!!!! ----> Module summary not complete!\n\n");
}
else
{
fgets(string, 200, sumRead);
// fscanf(sumRead, "%s %s", string, mod);
fscanf(sumRead, "%s %s %s %s", string, string, waf, test);
fscanf(sumRead, "%s %i %i %i %i %i", string, &dp, &dm, &db, &dt, &da);
fscanf(sumRead, "%s %s %s %s %s %i %i %i", string, string, string, string, string, &a, &b, &c);
badRocs[0]=a; badRocs[1]=b; badRocs[2]=c;
fscanf(sumRead, "%s %s %i", string, string, &root);
fscanf(sumRead, "%s %s %s %s %s %i %s %s", string, string, string, string, tmon, &tday, string, string);
fgets(string, 200, sumRead);
fscanf(sumRead, "%s %s", string, trim);
fgets(string, 200, sumRead);
fscanf(sumRead, "%s %s", string, ph);
fgets(string, 200, sumRead);
fscanf(sumRead, "%s %f %f %s %f", string, &temp, &tempSigma, string, &sollTemp);
fscanf(sumRead, "%s %s %s %f %f", string, string, cycl, &cyclMean, &cyclSigma);
fclose(sumRead);
tl->SetTextSize(0.09);
tl->SetTextFont(22);
double y = 0.92;
tl->DrawLatex(0.01, y, Form("Test Summary of %s %s", waf, test));
tl->SetTextFont(132);
tl->SetTextSize(0.09);
y -= 0.16;
tl->DrawLatex(0.01, y, "ROCs > 1% defects: ");
tl->DrawLatex(0.5, y, Form("%i", badRocs[0]));
y -= 0.12;
tl->DrawLatex(0.01, y, Form("Dead Pixel: "));
tl->DrawLatex(0.5, y, Form("%i", dp));
y -= 0.11;
tl->DrawLatex(0.01, y, "Mask Defects: ");
tl->DrawLatex(0.5, y, Form("%i", dm));
y -= 0.11;
tl->DrawLatex(0.01, y, "Dead Bumps: ");
tl->DrawLatex(0.5, y, Form("%i", db));
y -= 0.11;
tl->DrawLatex(0.01, y, "Dead Trimbits: ");
tl->DrawLatex(0.5, y, Form("%i", dt));
y -= 0.11;
tl->DrawLatex(0.01, y, "Address Probl: ");
tl->DrawLatex(0.5, y, Form("%i", da));
y = 0.76;
tl->DrawLatex(0.72, y, Form("Tested on:"));
y -= 0.11;
tl->DrawLatex(0.72, y, "Temp. [^{o}C]: ");
y -= 0.11;
tl->DrawLatex(0.72, y, "Trim / phCal: ");
y -= 0.11;
tl->DrawLatex(0.72, y, "Therm. cycl.: ");
y -= 0.11;
tl->DrawLatex(0.72, y, "TBM1: ");
y -= 0.11;
tl->DrawLatex(0.72, y, "TBM2: ");
c1_3->cd(3);
y = 0.76;
tl->DrawLatex(0.01, y, Form("%s %i", tmon, tday));
y -= 0.11;
tl->DrawLatex(0.01, y, Form("%.1f +- %.1f", temp, tempSigma));
y -= 0.11;
tl->DrawLatex(0.01, y, Form("%s / %s", trim, ph));
y -= 0.11;
tl->DrawLatex(0.01, y, Form("%s", cycl));
}
int result;
int tbm1(1), tbm2(1);
TParameter<int>* par;
y -= 0.11;
par = (TParameter<int>*)f->Get("TBM1");
if (par)
{
tbm1 = par->GetVal();
if (tbm1 == 0) tl->DrawLatex(0.01, y, "ok");
else tl->DrawLatex(0.01, y, Form("Err%i", tbm1));
}
y -= 0.11;
par = (TParameter<int>*)f->Get("TBM2");
if (par)
{
tbm2 = par->GetVal();
if (tbm2 == 0) tl->DrawLatex(0.01, y, "ok");
else tl->DrawLatex(0.01, y, Form("Err%i", tbm2));
}
// Convert current to currents at room temperature
double Tk = 273.15;
double egap = 1.12;
double kB = 8.617343E-5;
double tTest;
// tTest = temp; // --> averaged temperature
tTest = sollTemp;
double expnt = egap*(1/(Tk+tTest) - 1/(Tk+17))/(2*kB);
double fctr = (Tk+17)*(Tk+17)/((Tk+tTest)*(Tk+tTest));
iv150_17 = iv150*fctr*TMath::Exp(expnt);
iv100_17 = iv100*fctr*TMath::Exp(expnt);
if ( iv100_17 != 0 ) variation_17 = iv150_17/iv100_17;
printf("\nmoduleSummary> converted I(150 V, %.0f C) = %.4f to I(150 V, 17 C) = %.4f \n", tTest, iv150, iv150_17);
printf("moduleSummary> converted I(100 V, %.0f C) = %.4f to I(100 V, 17 C) = %.4f \n\n", tTest, iv100, iv100_17);
if ( iv150_17 != 0 ) {
c1_3->cd(3);
y = 0.32;
tl->DrawLatex(0.25, y, "I(150 V) [T = 17 ^{o}C]");
tl->DrawLatex(0.72, y, Form("%.2f #muA", iv150_17));
c1_3->cd(2);
}
if ( iv100_17 != 0 ) {
c1_3->cd(3);
y = 0.21;
tl->DrawLatex(0.25, y, "I_{150}/I_{100} [T = 17 ^{o}C]");
tl->DrawLatex(0.72, y, Form("%.2f", variation_17));
c1_3->cd(2);
}
sprintf(fname, "%s/summaryTest.txt", dirName);
sumWrite = fopen(fname, "a");
fputs(Form("TBM1 %i\n", tbm1), sumWrite);
fputs(Form("TBM2 %i\n", tbm2), sumWrite);
fputs(Form("I 150 %f \n", iv150_17), sumWrite);
fputs(Form("I150/I100 %f \n", variation_17), sumWrite);
fputs(Form("iv datapoints %i \n", i), sumWrite);
// c1->cd(4);
// mAddr->DrawCopy("colz");
// mAddr->SetMaximum(1.);
// mAddr->SetMinimum(0.);
// tl->DrawLatex(0.1, 0.92, "Address decoding map");
c1_4->Divide(4,1);
qualification(dirName, fit, fitEntries);
for (int i = 0; i < 4; i++) {
// makePlot(TH1 *h, const char *title, int pad, double Ymin, double Ymax, double Ylimit)
makePlot(fit[i], fitNames[i].Data(), i+1, 0, max[i], limitB[i], limitC[i]);
}
int grad(0);
FILE *missingData;
sprintf(fname, "%s/comment_3.txt", dirName);
missingData = fopen(fname, "r");
if ( missingData ) {
printf("\nmoduleSummary> !!!!!!!!! ----> Found file for missing data: comment_3.txt => GRADE C!\n\n");
grad = 3;
fclose(missingData);
} else {
grad = grading(badRocs, iv150_17, variation_17, fit, fitEntries, limitB, limitC, test);
}
c1_3->cd(3);
tl->SetTextSize(0.09);
tl->SetTextFont(22);
if (grad == 1) { tl->DrawLatex(0.6, 0.92, "GRADE: A"); fputs("Grade A\n", sumWrite); }
if (grad == 2) { tl->DrawLatex(0.6, 0.92, "GRADE: B"); fputs("Grade B\n", sumWrite); }
if (grad == 3) { tl->DrawLatex(0.6, 0.92, "GRADE: C"); fputs("Grade C\n", sumWrite); }
sprintf(fname, "%s/gradingTest.txt", dirName);
gradWrite = fopen(fname, "a");
if (!gradWrite)
{
printf("\nmoduleSummary> !!!!!!!!! ----> File %s does not exist yet...\n", fname);
printf("moduleSummary> !!!!!!!!! ----> Grading data could not be written to file!\n\n");
}
else
{
fputs(Form("Noise %i %i\n", fitsProblemB[0], fitsProblemC[0]), gradWrite);
fputs(Form("VcalThrWidth %i %i\n", fitsProblemB[1], fitsProblemC[1]), gradWrite);
fputs(Form("RelGainWidth %i %i\n", fitsProblemB[2], fitsProblemC[2]), gradWrite);
fputs(Form("PedSpread %i %i\n", fitsProblemB[3], fitsProblemC[3]), gradWrite);
fputs(Form("I150V %i %i\n", currentProblemB, currentProblemC), gradWrite);
fputs(Form("Iratio %i 0\n", slopeProblemB), gradWrite);
}
c1->SaveAs(Form("%s/moduleSummary_%s%s.ps", dirName, waf, test));
c1->SaveAs(Form("%s/%s%s.gif", dirName, waf, test));
printf("\nmoduleSummary> ................................................ finished\n");
}
//_________________________________________________________________________________________
Int_t checkPullTree(TString pathTree, TString pathNameThetaMap, TString pathNameSigmaMap,
TString mapSuffix, const Int_t collType /*0: pp, 1: pPb, 2: PbPb*/, const Bool_t plotPull = kTRUE,
const Double_t downScaleFactor = 1,
TString pathNameSplinesFile = "", TString prSplinesName = "",
TString fileNameTree = "bhess_PIDetaTree.root", TString treeName = "fTree")
{
const Bool_t isNonPP = collType != 0;
const Double_t massProton = AliPID::ParticleMass(AliPID::kProton);
Bool_t recalculateExpecteddEdx = pathNameSplinesFile != "";
TFile* f = 0x0;
f = TFile::Open(Form("%s/%s", pathTree.Data(), fileNameTree.Data()));
if (!f) {
std::cout << "Failed to open tree file \"" << Form("%s/%s", pathTree.Data(), fileNameTree.Data()) << "\"!" << std::endl;
return -1;
}
// Extract the data Tree
TTree* tree = dynamic_cast<TTree*>(f->Get(treeName.Data()));
if (!tree) {
std::cout << "Failed to load data tree!" << std::endl;
return -1;
}
// Extract the splines, if desired
TSpline3* splPr = 0x0;
if (recalculateExpecteddEdx) {
std::cout << "Loading splines to recalculate expected dEdx!" << std::endl << std::endl;
TFile* fSpl = TFile::Open(pathNameSplinesFile.Data());
if (!fSpl) {
std::cout << "Failed to open spline file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
return 0x0;
}
TObjArray* TPCPIDResponse = (TObjArray*)fSpl->Get("TPCPIDResponse");
if (!TPCPIDResponse) {
splPr = (TSpline3*)fSpl->Get(prSplinesName.Data());
// If splines are in file directly, without TPCPIDResponse object, try to load them
if (!splPr) {
std::cout << "Failed to load object array from spline file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
return 0x0;
}
}
else {
splPr = (TSpline3*)TPCPIDResponse->FindObject(prSplinesName.Data());
if (!splPr) {
std::cout << "Failed to load splines from file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
return 0x0;
}
}
}
else
std::cout << "Taking dEdxExpected from Tree..." << std::endl << std::endl;
// Extract the correction maps
TFile* fMap = TFile::Open(pathNameThetaMap.Data());
if (!fMap) {
std::cout << "Failed to open thetaMap file \"" << pathNameThetaMap.Data() << "\"! Will not additionally correct data...." << std::endl;
}
TH2D* hMap = 0x0;
if (fMap) {
hMap = dynamic_cast<TH2D*>(fMap->Get(Form("hRefined%s", mapSuffix.Data())));
if (!hMap) {
std::cout << "Failed to load theta map!" << std::endl;
return -1;
}
}
TFile* fSigmaMap = TFile::Open(pathNameSigmaMap.Data());
if (!fSigmaMap) {
std::cout << "Failed to open simgaMap file \"" << pathNameSigmaMap.Data() << "\"!" << std::endl;
return -1;
}
TH2D* hThetaMapSigmaPar1 = dynamic_cast<TH2D*>(fSigmaMap->Get("hThetaMapSigmaPar1"));
if (!hThetaMapSigmaPar1) {
std::cout << "Failed to load sigma map for par 1!" << std::endl;
return -1;
}
Double_t c0 = -1;
TNamed* c0Info = dynamic_cast<TNamed*>(fSigmaMap->Get("c0"));
if (!c0Info) {
std::cout << "Failed to extract c0 from file with sigma map!" << std::endl;
return -1;
}
TString c0String = c0Info->GetTitle();
c0 = c0String.Atof();
printf("Loaded parameter 0 for sigma: %f\n\n", c0);
if (plotPull)
std::cout << "Plotting pull..." << std::endl << std::endl;
else
std::cout << "Plotting delta'..." << std::endl << std::endl;
Long64_t nTreeEntries = tree->GetEntriesFast();
Double_t dEdx = 0.; // Measured dE/dx
Double_t dEdxExpected = 0.; // Expected dE/dx according to parametrisation
Double_t tanTheta = 0.; // Tangens of (local) theta at TPC inner wall
Double_t pTPC = 0.; // Momentum at TPC inner wall
UShort_t tpcSignalN = 0; // Number of clusters used for dEdx
UChar_t pidType = 0;
Int_t fMultiplicity = 0;
//Double_t phiPrime = 0;
// Only activate the branches of interest to save processing time
tree->SetBranchStatus("*", 0); // Disable all branches
tree->SetBranchStatus("pTPC", 1);
tree->SetBranchStatus("dEdx", 1);
tree->SetBranchStatus("dEdxExpected", 1);
tree->SetBranchStatus("tanTheta", 1);
tree->SetBranchStatus("tpcSignalN", 1);
tree->SetBranchStatus("pidType", 1);
//tree->SetBranchStatus("phiPrime", 1);
if (isNonPP)
tree->SetBranchStatus("fMultiplicity", 1);
tree->SetBranchAddress("dEdx", &dEdx);
tree->SetBranchAddress("dEdxExpected", &dEdxExpected);
tree->SetBranchAddress("tanTheta", &tanTheta);
tree->SetBranchAddress("tpcSignalN", &tpcSignalN);
tree->SetBranchAddress("pTPC", &pTPC);
tree->SetBranchAddress("pidType", &pidType);
//tree->SetBranchAddress("phiPrime", &phiPrime);
if (isNonPP)
tree->SetBranchAddress("fMultiplicity", &fMultiplicity);
// Output file
TDatime daTime;
TString savefileName = Form("%s%s_checkPullSigma_%04d_%02d_%02d__%02d_%02d.root", fileNameTree.ReplaceAll(".root", "").Data(),
recalculateExpecteddEdx ? "_recalcdEdx" : "",
daTime.GetYear(), daTime.GetMonth(), daTime.GetDay(), daTime.GetHour(), daTime.GetMinute());
TFile* fSave = TFile::Open(Form("%s/%s", pathTree.Data(), savefileName.Data()), "recreate");
if (!fSave) {
std::cout << "Failed to open save file \"" << Form("%s/%s", pathTree.Data(), savefileName.Data()) << "\"!" << std::endl;
return -1;
}
const Double_t pBoundLow = 0.1;
const Double_t pBoundUp = 5;
const Int_t nBins1 = TMath::Ceil(180 / downScaleFactor);
const Int_t nBins2 = TMath::Ceil(100 / downScaleFactor);
const Int_t nBins3 = TMath::Ceil(60 / downScaleFactor);
const Int_t nPbinsForMap = nBins1 + nBins2 + nBins3;
Double_t binsPforMap[nPbinsForMap + 1];
Double_t binWidth1 = (1.0 - pBoundLow) / nBins1;
Double_t binWidth2 = (2.0 - 1.0 ) / nBins2;
Double_t binWidth3 = (pBoundUp - 2.0) / nBins3;
for (Int_t i = 0; i < nBins1; i++) {
binsPforMap[i] = pBoundLow + i * binWidth1;
}
for (Int_t i = nBins1, j = 0; i < nBins1 + nBins2; i++, j++) {
binsPforMap[i] = 1.0 + j * binWidth2;
}
for (Int_t i = nBins1 + nBins2, j = 0; i < nBins1 + nBins2 + nBins3; i++, j++) {
binsPforMap[i] = 2.0 + j * binWidth3;
}
binsPforMap[nPbinsForMap] = pBoundUp;
TH2D* hPull = new TH2D("hPull", "Pull vs. p_{TPC} integrated over tan(#Theta);p_{TPC} (GeV/c);Pull", nPbinsForMap, binsPforMap,
plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);
TH2D* hPullAdditionalCorr = (TH2D*)hPull->Clone("hPullAdditionalCorr");
hPullAdditionalCorr->SetTitle("Pull vs. p_{TPC} integrated over tan(#Theta) with additional dEdx correction w.r.t. tan(#Theta)");
/*
const Int_t nThetaHistos = 3;
TH2D* hPullTheta[nThetaHistos];
TH2D* hPullAdditionalCorrTheta[nThetaHistos];
Double_t tThetaLow[nThetaHistos] = { 0.0, 0.4, 0.9 };
Double_t tThetaHigh[nThetaHistos] = { 0.1, 0.5, 1.0 };
*/
const Int_t nThetaHistos = 10;
TH2D* hPullTheta[nThetaHistos];
TH2D* hPullAdditionalCorrTheta[nThetaHistos];
Double_t tThetaLow[nThetaHistos] = { 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 };
Double_t tThetaHigh[nThetaHistos] = { 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0 };
for (Int_t i = 0; i < nThetaHistos; i++) {
hPullTheta[i] = new TH2D(Form("hPullTheta_%d", i),
Form("Pull vs. p_{TPC} for %.2f <= |tan(#Theta)| < %.2f;p_{TPC} (GeV/c);Pull", tThetaLow[i], tThetaHigh[i]),
nPbinsForMap, binsPforMap, plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);
hPullAdditionalCorrTheta[i] =
new TH2D(Form("hPullAdditionalCorrTheta_%d", i),
Form("Pull vs. p_{TPC} for %.2f <= |tan(#Theta)| < %.2f with additional dEdx correction w.r.t. tan(#Theta);p_{TPC} (GeV/c);Pull",
tThetaLow[i], tThetaHigh[i]),
nPbinsForMap, binsPforMap, plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);
}
TF1 corrFuncMult("corrFuncMult", "[0] + [1]*TMath::Max([4], TMath::Min(x, [3])) + [2] * TMath::Power(TMath::Max([4], TMath::Min(x, [3])), 2)",
0., 0.2);
TF1 corrFuncMultTanTheta("corrFuncMultTanTheta", "[0] * (x -[2]) + [1] * (x * x - [2] * [2])", -1.5, 1.5);
TF1 corrFuncSigmaMult("corrFuncSigmaMul", "TMath::Max(0, [0] + [1]*TMath::Min(x, [3]) + [2] * TMath::Power(TMath::Min(x, [3]), 2))", 0., 0.2);
// LHC13b.pass2
if (isNonPP)
printf("Using corr Parameters for 13b.pass2\n!");
corrFuncMult.SetParameter(0, -5.906e-06);
corrFuncMult.SetParameter(1, -5.064e-04);
corrFuncMult.SetParameter(2, -3.521e-02);
corrFuncMult.SetParameter(3, 2.469e-02);
corrFuncMult.SetParameter(4, 0);
corrFuncMultTanTheta.SetParameter(0, -5.32e-06);
corrFuncMultTanTheta.SetParameter(1, 1.177e-05);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, 0.);
corrFuncSigmaMult.SetParameter(1, 0.);
corrFuncSigmaMult.SetParameter(2, 0.);
corrFuncSigmaMult.SetParameter(3, 0.);
/* OK, but PID task was not very satisfying
corrFuncMult.SetParameter(0, -6.27187e-06);
corrFuncMult.SetParameter(1, -4.60649e-04);
corrFuncMult.SetParameter(2, -4.26450e-02);
corrFuncMult.SetParameter(3, 2.40590e-02);
corrFuncMult.SetParameter(4, 0);
corrFuncMultTanTheta.SetParameter(0, -5.338e-06);
corrFuncMultTanTheta.SetParameter(1, 1.220e-05);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, 7.89237e-05);
corrFuncSigmaMult.SetParameter(1, -1.30662e-02);
corrFuncSigmaMult.SetParameter(2, 8.91548e-01);
corrFuncSigmaMult.SetParameter(3, 1.47931e-02);
*/
/*
// LHC11a10a
if (isNonPP)
printf("Using corr Parameters for 11a10a\n!");
corrFuncMult.SetParameter(0, 6.90133e-06);
corrFuncMult.SetParameter(1, -1.22123e-03);
corrFuncMult.SetParameter(2, 1.80220e-02);
corrFuncMult.SetParameter(3, 0.1);
corrFuncMult.SetParameter(4, 6.45306e-03);
corrFuncMultTanTheta.SetParameter(0, -2.85505e-07);
corrFuncMultTanTheta.SetParameter(1, -1.31911e-06);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, -4.29665e-05);
corrFuncSigmaMult.SetParameter(1, 1.37023e-02);
corrFuncSigmaMult.SetParameter(2, -6.36337e-01);
corrFuncSigmaMult.SetParameter(3, 1.13479e-02);
*/
/* OLD without saturation and large error for negative slopes
corrFuncSigmaMult.SetParameter(0, -4.79684e-05);
corrFuncSigmaMult.SetParameter(1, 1.49938e-02);
corrFuncSigmaMult.SetParameter(2, -7.15269e-01);
corrFuncSigmaMult.SetParameter(3, 1.06855e-02);
*/
/* OLD very good try, but with fewer pBins for the fitting
corrFuncMult.SetParameter(0, 6.88365e-06);
corrFuncMult.SetParameter(1, -1.22324e-03);
corrFuncMult.SetParameter(2, 1.81625e-02);
corrFuncMult.SetParameter(3, 0.1);
corrFuncMult.SetParameter(4, 6.36890e-03);
corrFuncMultTanTheta.SetParameter(0, -2.85505e-07);
corrFuncMultTanTheta.SetParameter(1, -1.31911e-06);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, -4.28401e-05);
corrFuncSigmaMult.SetParameter(1, 1.24812e-02);
corrFuncSigmaMult.SetParameter(2, -5.28531e-01);
corrFuncSigmaMult.SetParameter(3, 1.25147e-02);
*/
/*OLD good try
corrFuncMult.SetParameter(0, 7.50321e-06);
corrFuncMult.SetParameter(1, -1.25250e-03);
corrFuncMult.SetParameter(2, 1.85437e-02);
corrFuncMult.SetParameter(3, 0.1);
corrFuncMult.SetParameter(4, 6.21192e-03);
corrFuncMultTanTheta.SetParameter(0, -1.43112e-07);
corrFuncMultTanTheta.SetParameter(1, -1.53e-06);
corrFuncMultTanTheta.SetParameter(2, 0.3);
corrFuncSigmaMult.SetParameter(0, -2.54019e-05);
corrFuncSigmaMult.SetParameter(1, 8.68883e-03);
corrFuncSigmaMult.SetParameter(2, -3.36176e-01);
corrFuncSigmaMult.SetParameter(3, 1.29230e-02);
*/
/*
// LHC10h.pass2
if (isNonPP)
printf("Using corr Parameters for 10h.pass2\n!");
corrFuncMult.SetParameter(0, 3.21636e-07);
corrFuncMult.SetParameter(1, -6.65876e-04);
corrFuncMult.SetParameter(2, 1.28786e-03);
corrFuncMult.SetParameter(3, 1.47677e-02);
corrFuncMult.SetParameter(4, 0.);
corrFuncMultTanTheta.SetParameter(0, 7.23591e-08);
corrFuncMultTanTheta.SetParameter(1, 2.7469e-06);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, -1.22590e-05);
corrFuncSigmaMult.SetParameter(1, 6.88888e-03);
corrFuncSigmaMult.SetParameter(2, -3.20788e-01);
corrFuncSigmaMult.SetParameter(3, 1.07345e-02);
*/
/*OLD bad try
corrFuncMult.SetParameter(0, 2.71514e-07);
corrFuncMult.SetParameter(1, -6.92031e-04);
corrFuncMult.SetParameter(2, 3.56042e-03);
corrFuncMult.SetParameter(3, 1.47497e-02);
corrFuncMult.SetParameter(4, 0.);
corrFuncMultTanTheta.SetParameter(0, 8.53204e-08);
corrFuncMultTanTheta.SetParameter(1, 2.85591e-06);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, -6.82477e-06);
corrFuncSigmaMult.SetParameter(1, 4.97051e-03);
corrFuncSigmaMult.SetParameter(2, -1.64954e-01);
corrFuncSigmaMult.SetParameter(3, 9.21061e-03);
*/
//TODO NOW
TF1* fShapeSmallP = new TF1("fShapeSmallP", "pol5", -0.4, 0.4);
fShapeSmallP->SetParameters(1.01712, -0.0202725, -0.260692, 0.261623, 0.671854, -1.14014);
for (Long64_t i = 0; i < nTreeEntries; i++) {
tree->GetEntry(i);
if (dEdx <= 0 || dEdxExpected <= 0 || tpcSignalN <= 10)
continue;
/*
Double_t pT = pTPC*TMath::Sin(-TMath::ATan(tanTheta)+TMath::Pi()/2.0);
if ((phiPrime > 0.072/pT+TMath::Pi()/18.0-0.035 && phiPrime < 0.07/pT/pT+0.1/pT+TMath::Pi()/18.0+0.035))
continue;
*/
if (pidType != kMCid) {
if (pidType == kTPCid && pTPC > 0.6)
continue;
if (pidType == kTPCandTOFid && (pTPC < 0.6 || pTPC > 2.0))
continue;
if ((collType == 2) && pidType == kTPCandTOFid && pTPC > 1.0)
continue;// Only V0's in case of PbPb above 1.0 GeV/c
if (pidType == kV0idPlusTOFrejected) //TODO NOW NEW
continue;
}
if (recalculateExpecteddEdx) {
dEdxExpected = 50. * splPr->Eval(pTPC / massProton); //WARNING: What, if MIP is different from 50.? Seems not to be used (tested for pp, MC_pp, PbPb and MC_PbPb), but can in principle happen
}
//TODO NOW
/*
if (TMath::Abs(tanTheta) <= 0.4) {
Double_t p0 = fShapeSmallP->Eval(tanTheta) - 1.0; // Strength of the correction
Double_t p1 = -9.0; // How fast the correction is turned off
Double_t p2 = -0.209; // Turn off correction around 0.2 GeV/c
Double_t p3 = 1.0; // Delta' for large p should be 1
Double_t corrFactor = TMath::Erf((pTPC + p2) * p1) * p0 + p3 + p0; // Add p0 to have 1 for p3 = 1 and large pTPC
dEdxExpected *= corrFactor;
}*/
/*TODO old unsuccessful try
Double_t thetaGlobalTPC = -TMath::ATan(tanTheta) + TMath::Pi() / 2.;
Double_t pTtpc = pTPC * TMath::Sin(thetaGlobalTPC);
Double_t pTtpcInv = (pTtpc > 0) ? 1. / pTtpc : 0;
Double_t p0 = 1.0;
Double_t p1 = 1./ 0.5;//TODO 2.0;
Double_t p2 = -0.2;//TODO 0.1
Double_t pTcorrFactor = p0 + (pTtpcInv > p1) * p2 * (pTtpcInv - p1);
dEdxExpected *= pTcorrFactor;
*/
// From the momentum (via dEdxExpected) and the tanTheta of the track, the expected dEdx can be calculated (correctedDeDxExpected).
// If the splines are correct, this should give in average the same value as dEdx.
// Now valid: Maps created from corrected data with splines adopted to corrected data, so lookup should be for dEdxExpected=dEdxSplines (no further
// eta correction) or the corrected dEdx from the track (which should ideally be = dEdxSplines)
// Tested with corrected data for LHC10d.pass2: using dEdx for the lookup (which is the corrected value and should ideally be = dEdxSplines):
// Results almost the same. Maybe slightly better for dEdxExpected.
// No longer valid: Note that the maps take always the uncorrected dEdx w.r.t.
// tanTheta, so that correctedDeDxExpected is needed here normally. However, the information for the correction will be lost at some point.
// Therefore, dEdxExpected can be used instead and should provide a good approximation.
Double_t c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
Double_t expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
Double_t pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
// Fill pull histo
hPull->Fill(pTPC, pull);
Double_t tanThetaAbs = TMath::Abs(tanTheta);
for (Int_t j = 0; j < nThetaHistos; j++) {
if (tanThetaAbs >= tThetaLow[j] && tanThetaAbs < tThetaHigh[j]) {
hPullTheta[j]->Fill(pTPC, pull);
}
}
if (!hMap)
continue;
Double_t correctionFactor = 1.;
if (isNonPP) {
// 1. Correct eta dependence
correctionFactor = hMap->GetBinContent(getBinX(hMap, tanTheta), getBinY(hMap, 1./dEdxExpected));
// 2. Correct for multiplicity dependence:
Double_t multCorrectionFactor = 1.;
if (fMultiplicity > 0) {
Double_t relSlope = corrFuncMult.Eval(1. / (dEdxExpected * correctionFactor));
relSlope += corrFuncMultTanTheta.Eval(tanTheta);
multCorrectionFactor = 1. + relSlope * fMultiplicity;
}
c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
// Multiplicity dependence of sigma depends on the real dEdx at zero multiplicity, i.e. the eta (only) corrected dEdxExpected value has to be used
// since all maps etc. have been created for ~zero multiplicity
Double_t relSigmaSlope = corrFuncSigmaMult.Eval(1. / (dEdxExpected * correctionFactor));
Double_t multSigmaCorrectionFactor = 1. + relSigmaSlope * fMultiplicity;
dEdxExpected *= correctionFactor * multCorrectionFactor;
expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
expectedSigma *= multSigmaCorrectionFactor;
pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
}
else {
correctionFactor = hMap->GetBinContent(getBinX(hMap, tanTheta), getBinY(hMap, 1./dEdxExpected));
c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
dEdxExpected *= correctionFactor; // If data is not corrected, but the sigma map is for corrected data, re-do analysis with corrected dEdx
expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
}
pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
hPullAdditionalCorr->Fill(pTPC, pull);
for (Int_t j = 0; j < nThetaHistos; j++) {
if (tanThetaAbs >= tThetaLow[j] && tanThetaAbs < tThetaHigh[j]) {
hPullAdditionalCorrTheta[j]->Fill(pTPC, pull);
}
}
}
/*
// Mean, Sigma, chi^2/NDF of pull of different theta bins and all in one plot
TCanvas* canvPullMean = new TCanvas("canvPullMean", "canvPullMean", 100,10,1380,800);
canvPullMean->SetLogx(kTRUE);
canvPullMean->SetGridx(kTRUE);
canvPullMean->SetGridy(kTRUE);
TCanvas* canvPullSigma = new TCanvas("canvPullSigma", "canvPullSigma", 100,10,1380,800);
canvPullSigma->SetLogx(kTRUE);
canvPullSigma->SetGridx(kTRUE);
canvPullSigma->SetGridy(kTRUE);
TCanvas* canvPullChi2 = new TCanvas("canvPullChi2", "canvPullChi2", 100,10,1380,800);
canvPullChi2->SetLogx(kTRUE);
canvPullChi2->SetGridx(kTRUE);
canvPullChi2->SetGridy(kTRUE);
TCanvas* canvPull[nThetaHistos + 1];
for (Int_t i = 0, j = nThetaHistos; i < nThetaHistos + 1; i++, j--) {
canvPull[i] = new TCanvas(Form("canvPull_%d", i), "canvPull", 100,10,1380,800);
canvPull[i]->cd();
canvPull[i]->SetLogx(kTRUE);
canvPull[i]->SetLogz(kTRUE);
canvPull[i]->SetGrid(kTRUE, kTRUE);
TH2D* hTemp = 0x0;
TString thetaString = "";
if (i == nThetaHistos) {
hTemp = hPull;
thetaString = "tan(#Theta) integrated";
}
else {
hTemp = hPullTheta[i];
thetaString = Form("%.2f #leq |tan(#Theta)| < %.2f", tThetaLow[i], tThetaHigh[i]);
}
normaliseHisto(hTemp);
hTemp->FitSlicesY();
hTemp->GetYaxis()->SetNdivisions(12);
hTemp->GetXaxis()->SetMoreLogLabels(kTRUE);
TH1D* hTempMean = (TH1D*)gDirectory->Get(Form("%s_1", hTemp->GetName()));
hTempMean->SetTitle(Form("mean(pull), %s", thetaString.Data()));
hTempMean->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempMean->SetLineWidth(2);
hTempMean->SetMarkerStyle(20);
TH1D* hTempSigma = (TH1D*)gDirectory->Get(Form("%s_2", hTemp->GetName()));
hTempSigma->SetTitle(Form("#sigma(pull), %s", thetaString.Data()));
hTempSigma->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempSigma->SetLineColor(kMagenta);
hTempSigma->SetMarkerStyle(20);
hTempSigma->SetMarkerColor(kMagenta);
hTempSigma->SetLineWidth(2);
TH1D* hTempChi2 = (TH1D*)gDirectory->Get(Form("%s_chi2", hTemp->GetName()));
hTempChi2->SetTitle(Form("#chi^{2} / NDF (pull), %s", thetaString.Data()));
hTempChi2->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempChi2->SetLineColor(kMagenta + 2);
hTempChi2->SetMarkerStyle(20);
hTempChi2->SetMarkerColor(kMagenta + 2);
hTempChi2->SetLineWidth(2);
hTemp->DrawCopy("colz");
hTempMean->DrawCopy("same");
hTempSigma->DrawCopy("same");
hTempChi2->Scale(-1./10.);
hTempChi2->DrawCopy("same");
hTempChi2->Scale(-10.);
canvPullMean->cd();
hTempMean->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempMean->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempMean->DrawCopy((i == 0 ? "" : "same"));
canvPullSigma->cd();
hTempSigma->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempSigma->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempSigma->DrawCopy((i == 0 ? "" : "same"));
canvPullChi2->cd();
hTempChi2->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempChi2->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempChi2->DrawCopy((i == 0 ? "" : "same"));
}
canvPullMean->BuildLegend();
canvPullSigma->BuildLegend();
canvPullChi2->BuildLegend();
*/
// Histograms with additional correction
TCanvas* canvPullMeanCorr = 0x0;
TCanvas* canvPullSigmaCorr = 0x0;
TCanvas* canvPullChi2Corr = 0x0;
TCanvas* canvPullCorr[nThetaHistos + 1];
for (Int_t i = 0; i < nThetaHistos + 1; i++)
canvPullCorr[i] = 0x0;
if (hMap) {
// Mean, Sigma, chi^2/NDF of pull of different theta bins and all in one plot
canvPullMeanCorr = new TCanvas("canvPullMeanCorr", "canvPullMeanCorr", 100,10,1380,800);
canvPullMeanCorr->SetLogx(kTRUE);
canvPullMeanCorr->SetGridx(kTRUE);
canvPullMeanCorr->SetGridy(kTRUE);
canvPullSigmaCorr = new TCanvas("canvPullSigmaCorr", "canvPullSigmaCorr", 100,10,1380,800);
canvPullSigmaCorr->SetLogx(kTRUE);
canvPullSigmaCorr->SetGridx(kTRUE);
canvPullSigmaCorr->SetGridy(kTRUE);
canvPullChi2Corr = new TCanvas("canvPullChi2Corr", "canvPullChi2Corr", 100,10,1380,800);
canvPullChi2Corr->SetLogx(kTRUE);
canvPullChi2Corr->SetGridx(kTRUE);
canvPullChi2Corr->SetGridy(kTRUE);
for (Int_t i = 0, j = nThetaHistos; i < nThetaHistos + 1; i++, j--) {
canvPullCorr[i] = new TCanvas(Form("canvPullCorr_%d", i), "canvPullCorr", 100,10,1380,800);
canvPullCorr[i]->cd();
canvPullCorr[i]->SetLogx(kTRUE);
canvPullCorr[i]->SetLogz(kTRUE);
canvPullCorr[i]->SetGrid(kTRUE, kTRUE);
TH2D* hTemp = 0x0;
TString thetaString = "";
if (i == nThetaHistos) {
hTemp = hPullAdditionalCorr;
thetaString = "tan(#Theta) integrated";
}
else {
hTemp = hPullAdditionalCorrTheta[i];
thetaString = Form("%.2f #leq |tan(#Theta)| < %.2f", tThetaLow[i], tThetaHigh[i]);
}
normaliseHisto(hTemp);
hTemp->FitSlicesY();
hTemp->GetYaxis()->SetNdivisions(12);
hTemp->GetXaxis()->SetMoreLogLabels(kTRUE);
TH1D* hTempMean = (TH1D*)gDirectory->Get(Form("%s_1", hTemp->GetName()));
hTempMean->SetTitle(Form("mean(pull), %s", thetaString.Data()));
hTempMean->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempMean->SetLineWidth(2);
hTempMean->SetMarkerStyle(20);
TH1D* hTempSigma = (TH1D*)gDirectory->Get(Form("%s_2", hTemp->GetName()));
hTempSigma->SetTitle(Form("#sigma(pull), %s", thetaString.Data()));
hTempSigma->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempSigma->SetLineColor(kMagenta);
hTempSigma->SetMarkerStyle(20);
hTempSigma->SetMarkerColor(kMagenta);
hTempSigma->SetLineWidth(2);
TH1D* hTempChi2 = (TH1D*)gDirectory->Get(Form("%s_chi2", hTemp->GetName()));
hTempChi2->SetTitle(Form("#chi^{2} / NDF (pull), %s", thetaString.Data()));
hTempChi2->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempChi2->SetLineColor(kMagenta + 2);
hTempChi2->SetMarkerStyle(20);
hTempChi2->SetMarkerColor(kMagenta + 2);
hTempChi2->SetLineWidth(2);
hTemp->DrawCopy("colz");
hTempMean->DrawCopy("same");
hTempSigma->DrawCopy("same");
hTempChi2->Scale(-1./10.);
hTempChi2->DrawCopy("same");
hTempChi2->Scale(-10.);
canvPullMeanCorr->cd();
hTempMean->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempMean->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempMean->DrawCopy((i == 0 ? "" : "same"));
canvPullSigmaCorr->cd();
hTempSigma->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempSigma->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempSigma->DrawCopy((i == 0 ? "" : "same"));
canvPullChi2Corr->cd();
hTempChi2->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempChi2->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempChi2->DrawCopy((i == 0 ? "" : "same"));
}
canvPullMeanCorr->BuildLegend();
canvPullSigmaCorr->BuildLegend();
canvPullChi2Corr->BuildLegend();
}
fSave->cd();
/*canvPullMean->Write();
canvPullSigma->Write();
canvPullChi2->Write();
for (Int_t i = 0; i < nThetaHistos + 1; i++) {
canvPull[i]->Write();
}*/
canvPullMeanCorr->Write();
canvPullSigmaCorr->Write();
canvPullChi2Corr->Write();
for (Int_t i = 0; i < nThetaHistos + 1; i++) {
canvPullCorr[i]->Write();
}
TNamed* info = new TNamed(Form("Theta map: %s\n\nSigma map: %s\n\nSplines file: %s\n\nSplines name: %s", pathNameThetaMap.Data(),
pathNameSigmaMap.Data(), pathNameSplinesFile.Data(), prSplinesName.Data()),
"info");
info->Write();
fSave->Close();
return 0;
}
TCanvas* pHitSpecPosGen( )
{
TCanvas* c = new TCanvas("cHitSpecPosGen","cHitSpecPosGen",1200,600);
c->Divide(2,1);
TVirtualPad* p; TH2D *h; TH2D *hAtPhi0;
TText t; t.SetTextColor(4);
p =c->cd(1); p->SetLogy(); p->SetGrid(0,1);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhiGen_Minus");
hAtPhi0 = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhiGenAtPhi0_Minus");
h->GetYaxis()->SetRange(4,33);
h->GetXaxis()->SetNdivisions(505); h->GetXaxis()->SetLabelSize(0.04);
h->DrawCopy("box");
hAtPhi0->SetLineColor(2);
hAtPhi0->DrawCopy("box same");
t.DrawTextNDC(0.17,0.15, "BARREL MU MINUS");
std::cout <<h->GetTitle() << std::endl;
for (int iy = 1; iy <=h->GetNbinsY(); iy++) {
std::cout <<" pt: " << h->GetYaxis()->GetBinLowEdge(iy);
double xmin=100.;
double xAtMax = 0.; double valAtMax = 0.;
double xmax=-100.;
for (int ix = 1; ix <=h->GetNbinsX(); ix++) {
double val = h->GetBinContent(ix,iy);
double xbmin = h->GetXaxis()->GetBinLowEdge(ix);
double xcent = h->GetXaxis()->GetBinCenter(ix);
double xbmax = h->GetXaxis()->GetBinUpEdge(ix);
if (val > valAtMax) { valAtMax = val; xAtMax = xcent; }
if (val > 1 && (xbmin < xmin)) xmin = xbmin;
if (val > 1 && (xbmax > xmax)) xmax = xbmax;
}
std::cout <<" set DPHI0 = "<<1.025-xAtMax
<<"; set DPHI_MARGIN = " <<std::max( (xAtMax-xmin), (xmax-xAtMax))
<<";" << std::endl;
}
p =c->cd(2); p->SetLogy(); p->SetGrid(1,1);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhiGen_Plus");
hAtPhi0 = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhiGenAtPhi0_Plus");
h->GetYaxis()->SetRange(4,32);
h->GetXaxis()->SetNdivisions(505); h->GetXaxis()->SetLabelSize(0.04);
h->DrawCopy("box");
hAtPhi0->SetLineColor(2);
hAtPhi0->DrawCopy("box same");
t.DrawTextNDC(0.17,0.15, "BARREL MU PLUS");
std::cout <<h->GetTitle() << std::endl;
for (int iy = 1; iy <=h->GetNbinsY(); iy++) {
std::cout <<" pt: " << h->GetYaxis()->GetBinLowEdge(iy);
double xmin=100.;
double xAtMax = 0.; double valAtMax = 0.;
double xmax=-100.;
for (int ix = 1; ix <=h->GetNbinsX(); ix++) {
double val = h->GetBinContent(ix,iy);
double xbmin = h->GetXaxis()->GetBinLowEdge(ix);
double xcent = h->GetXaxis()->GetBinCenter(ix);
double xbmax = h->GetXaxis()->GetBinUpEdge(ix);
if (val > valAtMax) { valAtMax = val; xAtMax = xcent; }
if (val > 1 && (xbmin < xmin)) xmin = xbmin;
if (val > 1 && (xbmax > xmax)) xmax = xbmax;
}
std::cout <<" set DPHI0 = "<<1.025-xAtMax
<<"; set DPHI_MARGIN = " <<std::max( (xAtMax-xmin), (xmax-xAtMax))
<<";" << std::endl;
}
return c;
}
void GradeCorrelation(double prob = 0.10, int nCut = 50) {
std::cout << "Starting Grade Correlation..." << std::endl;
TBenchmark* myBenchmark = new TBenchmark();
myBenchmark->Start("NormMap");
// Get the student TTree prepared in another macro.
if (MyFunctions::gradeNormMap.size() == 0)
MyFunctions::BuildGradeNormMap();
myBenchmark->Stop("NormMap");
std::cout << "Made GradeNormMap..." << std::endl;
// Just a quick look at the data in the Students TTree
TFile* f = new TFile("Students.root");
TTree* studentTree = (TTree*)f->Get("Students");
Student* student = 0;
studentTree->SetBranchAddress("student", &student);
Long64_t nentries = studentTree->GetEntriesFast();
std::cout << "Entries in Students TTree = " << nentries << std::endl;
// We want to loop over students and look at pairs of courses taken in different semesters to see if there is
// any correlation between graede performance.
std::map<std::pair<TString, TString>, CorrelationCalculator> corrMap;
// nentries = 1000;
myBenchmark->Start("Main Loop");
int nPairAll = 0;
for (Long64_t jentry = 0; jentry < nentries; ++jentry) {
studentTree->GetEntry(jentry);
if (jentry % 1000 == 0)
std::cout << "At student " << jentry << std::endl;
// std::cout << "Looking at student " << student->Id() << std::endl;
student->Finalize(); // Regenerates non-persisted references
int nTerms = student->Enrollments().size();
// std::cout << "nTerms = " << nTerms << std::endl;
for (int iTerm = 0; iTerm < nTerms - 1; ++iTerm) {
const Student::Enrollment iEnrollment = student->Enrollments()[iTerm];
if (!MyFunctions::regularSemester(iEnrollment.term)) continue;
for (Student::Grade iGrade : iEnrollment.grades) {
if (!MyFunctions::ValidGrade(iGrade.grade)) continue;
// Get a prediction for this grade using norm-corrected grades
// std::cout << "1" << std::endl;
double prediction_i = student->CourseGradePrediction(iGrade, Student::DISTRIBUTION);
// std::cout << "2" << std::endl;
double delta_i = iGrade.quality - prediction_i;
// Find next regular term only
bool foundRegTerm = false;
for (int jTerm = iTerm + 1; jTerm < nTerms && !foundRegTerm; ++jTerm) {
const Student::Enrollment jEnrollment = student->Enrollments()[jTerm];
if (!MyFunctions::regularSemester(jEnrollment.term)) continue;
foundRegTerm = true;
for (Student::Grade jGrade : jEnrollment.grades) {
if (jGrade.course == iGrade.course) continue;
if (!MyFunctions::ValidGrade(jGrade.grade)) continue;
double prediction_j = student->CourseGradePrediction(jGrade, Student::DISTRIBUTION);
double delta_j = jGrade.quality - prediction_j;
corrMap[std::make_pair(iGrade.course, jGrade.course)].Add(delta_i, delta_j);
++nPairAll;
}
}
}
}
}
myBenchmark->Stop("Main Loop");
std::cout << "nPairAll = " << nPairAll << std::endl;
std::cout << "Unique Pairs = " << corrMap.size() << std::endl;
TH1D* rHist = new TH1D("rHist", "Correlation Coefficient, #rho", 120, -1.2, 1.2);
TH1D* pHist = new TH1D("pHist", "Probablity Distribution", 100, 0., 1.);
TH1D* nHist = new TH1D("nHist", "Number of entries", 100, 0., 2000.);
TH2D* pVrHist = new TH2D("pVrHist", "Prob vs. #rho", 100, -1., 1., 100, 0., 1.);
myBenchmark->Start("Prune");
for (auto iter = corrMap.begin(); iter != corrMap.end();) {
if (iter->second.n() < nCut) {
corrMap.erase(iter++);
continue;
}
double p = iter->second.p();
double r = iter->second.r();
// Test for nan?
if (p != p) {
std::cout << "Found p = nan: n = " << iter->second.n() << std::endl;
corrMap.erase(iter++);
continue;
}
if (p < 0.) {
corrMap.erase(iter++);
continue;
}
rHist->Fill(r);
pHist->Fill(p);
nHist->Fill(iter->second.n());
pVrHist->Fill(r, p);
if (p < 1. - prob && p > prob) {
corrMap.erase(iter++);
}
else {
std::cout << "r = " << iter->second.r() << ", p = " << p << std::endl;
++iter;
}
}
myBenchmark->Stop("Prune");
std::cout << "Post Cut = " << corrMap.size() << std::endl;
myBenchmark->Start("Sort");
std::vector<std::pair<std::pair<TString, TString>, CorrelationCalculator>> corrVec(corrMap.begin(), corrMap.end());
std::sort(corrVec.begin(), corrVec.end(), &sortFunc);
myBenchmark->Stop("Sort");
int printTop = 50;
int printed = 0;
for (auto const& entry : corrVec) {
std::cout << entry.first.first << " : " << entry.first.second << "\t, n = " << entry.second.n() << "\t, r = " << entry.second.r()
<< "\t, p = " << entry.second.p() << std::endl;
++printed;
if (printed >= printTop) break;
}
TCanvas* c1 = new TCanvas("c1", "Grade Correlation", 1600, 1200);
c1->Divide(2,2);
c1->cd(1);
TF1* myGaus = new TF1("myGaus", "gaus", -1., 1.);
myGaus->SetParameters(600., 0., 0.2);
myGaus->FixParameter(1, 0.);
rHist->Fit(myGaus, "0B", "", -1., 0.);
rHist->DrawCopy();
myGaus->DrawCopy("SAME");
c1->cd(2);
pHist->DrawCopy();
c1->cd(3);
nHist->DrawCopy();
c1->cd(4);
pVrHist->DrawCopy();
float rt, cp;
myBenchmark->Summary(rt, cp);
}