// main function with the same name of this file
// it will be executed when you type ".x interpolation.C" in ROOT
void mySpline()
{
// Section 1. Draw the points on a canvas
TCanvas *c1 = new TCanvas("c1","interpolation",0,0,1000,800);
TGraph *g1 = new TGraph(n, xarray, yarray);// just plots points
g1->SetMarkerStyle(20);
g1->SetMarkerSize(2);
g1->GetXaxis()->SetLimits(-1, 3); // set real range
g1->GetXaxis()->SetRangeUser(-0.5, 2.5); // set visible range
g1->GetXaxis()->SetTitle("X");
g1->GetXaxis()->CenterTitle();
g1->GetYaxis()->SetLimits(-1, 2.0);
g1->GetYaxis()->SetRangeUser(-0.4, 1.6);
g1->GetYaxis()->SetTitle("Y");
g1->GetYaxis()->CenterTitle();
g1->Draw("ap"); // options to draw a graph are described on
// http://root.cern.ch/root/html/TGraph.html#TGraph:PaintGraph
// Section 3. Draw the Cubic Spline to the same canvas
TSpline3 *sp = new TSpline3("Cubic Spline", xarray, yarray, n, "b2e2", 0, 0);
// refer to http://root.cern.ch/root/html/Tspline3.html for the usage of TSpline3
// "b2e2" together with the last two "0" means that the second derivatives
// of the begin and end points equal to zero
sp->SetLineColor(kRed);
sp->Draw("lsame");
//____________________________________________________________________________
double LogChi2(double *x, double *par)
{
double ChiSqr = 0;
for (int i=0; i<n; i++)
ChiSqr = ChiSqr + (yarray[i] - x[0]*exp(-x[1]*xarray[i]))**2;
return log(ChiSqr);
}}
void fill_arrays(const Double_t fMass_min, const Double_t fMass_max, const Int_t fNPts, const TSpline3& fGS_xsUp_vs_m, const TSpline3& fGS_xsTh_vs_m, Double_t* x, Double_t* y)
{
Double_t mass_max = fMass_min;
if( (exp(fGS_xsUp_vs_m.Eval(fMass_min))/exp(fGS_xsTh_vs_m.Eval(fMass_min)))<0.5 ) {
Int_t iteration = 0;
for(Int_t i=0; i<100; i++) {
Double_t delta_1 = (fMass_max-fMass_min)/(100-1);
Double_t mass = fMass_min+delta_1*i;
if( (exp(fGS_xsUp_vs_m.Eval(mass))/exp(fGS_xsTh_vs_m.Eval(mass)))>0.5 ) {
iteration = i;
// cout<<"iteration: "<<iteration<<endl;
Double_t delta_2 = ((fMass_min+delta_1*i)-(fMass_min+delta_1*(i-1)))/(100-1);
for(Int_t j=0; j<100; j++) {
mass = (fMass_min+delta_1*(i-1))+delta_2*j;
if( (exp(fGS_xsUp_vs_m.Eval(mass))/exp(fGS_xsTh_vs_m.Eval(mass)))>0.5 ) {
mass_max = (fMass_min+delta_1*(i-1))+delta_2*j;
// cout<<"mass_max: "<<mass_max<<endl;
break;
}
}
break;
}
}
if( iteration==0 ) {
mass_max = fMass_max;
// cout<<"iteration: "<<99<<endl;
// cout<<"mass_max: "<<mass_max<<endl;
}
}
Double_t step = (mass_max-fMass_min)/(fNPts-1);
Double_t A = (mass_max-fMass_min)/(1-1/fNPts)+fMass_min;
Double_t B = (mass_max-fMass_min)/(1-1/fNPts);
for(Int_t i=0; i<fNPts; i++) {
x[i] = fMass_min+step*i;
x[2*fNPts-i-1] = x[i];
Double_t r = exp(fGS_xsUp_vs_m.Eval(x[i]))/exp(fGS_xsTh_vs_m.Eval(x[i]));
if(r<0.5) {
y[i] = 0.5*(1-sqrt(1-2*r));
y[2*fNPts-i-1] = 0.5*(1+sqrt(1-2*r));
} else {
y[i] = 0.5;
y[2*fNPts-i-1] = 0.5;
}
}
}
//Main of the program
void randSpline()
{
// making vectors
vector <double> xVector, yVector, xErrorVector, yErrorVector;
const int n = 6;
// filling vectors with random numbers
FillRandVectors(xVector, yVector, n);
// making graph
TGraph *gr = LoadGraphFromVectors(xVector, yVector);
//Plot
TCanvas *c1 = new TCanvas("c1","My Awesome Test Graph!!",200,10,700,500);
gr->Draw("apz");
// Draw the Cubic Spline to the same canvas
TSpline3 *sp = new TSpline3("Cubic Spline", gr,"b2e2", 0, 0);
sp->SetLineColor(kRed);
sp->Draw("lsame");
c1->Update();
}
void buildFakeAngTree(const Char_t* outtag,
const Float_t timereso, // ns
const UInt_t simevts=1,
const Float_t thetaOpt=400, // deg
const Float_t phiOpt=400, // deg
const Float_t coneOpt=400, // deg
const UInt_t rseed=23192,
const Float_t norm=100.0, // mV
const Float_t noise=20.0, // mV
const Char_t* outdir="/data/users/cjreed/work/simEvts",
const Char_t* infn="/w2/arianna/jtatar/nt.sigtemps.root",
const Char_t* geofn="/data/users/cjreed/work/"
"BounceStudy/Stn10/"
"CampSiteGeometry.root") {
// if any of the angles (thetaOpt, phiOpt, coneOpt) > 360, a random
// value will be used instead
//
// expect angles in the Templates tree to be in degrees
//
// expect the waveforms in the Templates tree to have amplitude 1
TRandom3 rnd(rseed);
geof = TFile::Open(geofn);
gg = dynamic_cast<TGeoManager*>(geof->Get("CampSite2013"));
site = dynamic_cast<const TSnGeoStnSite*>(gg->GetTopVolume());
TVector3 pos[NSnConstants::kNchans], nvec[NSnConstants::kNchans];
for (UChar_t ch=0; ch<NSnConstants::kNchans; ++ch) {
site->SetLPDAPosition(ch, pos[ch]);
site->SetLPDANormalVec(ch, nvec[ch]);
Printf("pos ch%d:",ch);
pos[ch].Print();
Printf("normal ch%d:",ch);
nvec[ch].Print();
}
TArrayD zeros(6);
inf = TFile::Open(infn);
nnt = dynamic_cast<TTree*>(inf->Get("Templates"));
TString infns(infn);
TString indir;
Int_t fl(0);
if (infns.Contains('/')) {
fl = infns.Last('/') + 1;
indir = infns(0, fl-1);
}
TString plaininfn = infns(fl, infns.Length()-fl);
TString outfn = Form("%s/FakeEvts.%s.%s", outdir, outtag,
plaininfn.Data());
outf = TFile::Open(outfn.Data(),"recreate");
outf->cd();
TParameter<Float_t> trp("TimeResolution", timereso);
trp.Write();
TParameter<Float_t> nmp("Normalization", norm);
nmp.Write();
TParameter<Float_t> nop("NoiseRMS", noise);
nop.Write();
TParameter<UInt_t> rsp("RandomSeed", rseed);
rsp.Write();
TSnCalWvData* wave = new TSnCalWvData;
Float_t eang(0), hang(0), hpf(0), limiter(0), coneang(0);
Bool_t bice(kFALSE);
nnt->SetBranchAddress("wave.",&wave);
nnt->SetBranchAddress("EAng",&eang);
nnt->SetBranchAddress("HAng",&hang);
nnt->SetBranchAddress("hpf",&hpf);
nnt->SetBranchAddress("limiter",&limiter);
nnt->SetBranchAddress("coneAng",&coneang);
nnt->SetBranchAddress("bIce",&bice);
// to look up waveform for EAng, HAng
nnt->BuildIndex("EAng + (1000*HAng)","coneAng");
// find the max angles
Printf("finding allowed angles...");
std::set<Float_t> Eangs, Hangs, Cangs;
const Long64_t nnents = nnt->GetEntries();
for (Long64_t i=0; i<nnents; ++i) {
nnt->GetEntry(i);
Eangs.insert(eang);
Hangs.insert(hang);
Cangs.insert(coneang);
}
#ifdef DEBUG
std::set<Float_t>::const_iterator ang, end = Eangs.end();
Printf("EAngs:");
for (ang=Eangs.begin(); ang!=end; ++ang) {
Printf("%g",*ang);
}
Printf("HAngs:");
for (ang=Hangs.begin(), end=Hangs.end(); ang!=end; ++ang) {
Printf("%g",*ang);
}
Printf("ConeAngs:");
for (ang=Cangs.begin(), end=Cangs.end(); ang!=end; ++ang) {
Printf("%g",*ang);
}
#endif
Float_t theta(0), phi(0), cone(0);
Float_t EAng[NSnConstants::kNchans],
HAng[NSnConstants::kNchans];
Float_t CAng(0);
TSnCalWvData* evdat = new TSnCalWvData;
TSnEventMetadata* meta = new TSnEventMetadata;
TSnEventHeader* hdr = new TSnEventHeader;
//ot = nnt->CloneTree(0);
//ot->SetName("SimTemplEvts");
ot = new TTree("SimTemplEvts","simulated events from templates",1);
ot->SetDirectory(outf);
ot->Branch("EventMetadata.",&meta);
ot->Branch("EventHeader.",&hdr);
ot->Branch("EAng",&(EAng[0]),Form("EAng[%hhu]/F",NSnConstants::kNchans));
ot->Branch("HAng",&(HAng[0]),Form("HAng[%hhu]/F",NSnConstants::kNchans));
ot->Branch("CAng",&CAng,"CAng/F");
ot->Branch("theta",&theta,"theta/F");
ot->Branch("phi",&phi,"phi/F");
ot->Branch("NuData.",&evdat);
// some useful aliases
TString an;
for (UChar_t ch=0; ch<NSnConstants::kNchans; ++ch) {
// to use as a cut for a particular channel:
an = Form("Ch%d",ch);
ot->SetAlias(an.Data(),
Form("(Iteration$>=(%hhu*%hhu)) && (Iteration$<(%hhu*%hhu))",
NSnConstants::kNsamps, ch,
NSnConstants::kNsamps,
static_cast<UChar_t>(ch+1)));
// to use as a variable showing the sample number [0,127] for any chan
an = Form("SmpCh%d",ch);
ot->SetAlias(an.Data(),
Form("Iteration$-%u", static_cast<UInt_t>(ch)
*static_cast<UInt_t>(NSnConstants::kNsamps)));
// e.g. Draw("RawData.fData:SmpCh2","EventHeader.fNum==21 && Ch2","l")
}
Printf("generating events...");
TStopwatch timer;
timer.Start();
for (UInt_t i=0; i<simevts; ++i) {
if ( (i%1000)==0 ) {
fprintf(stderr,"Processing %u/%u ... \r",i,simevts);
}
// choose angles
theta = (thetaOpt>360.) ? TMath::ACos( rnd.Uniform(-1.0, 0.0) )
: thetaOpt * TMath::DegToRad();
phi = (phiOpt>360.) ? rnd.Uniform(0.0, TMath::TwoPi())
: phiOpt * TMath::DegToRad();
cone = (coneOpt>360.)
? rnd.Uniform(*(Cangs.begin()), *(Cangs.rbegin()))
: coneOpt; // leave this one in degrees (as in the tree)
CAng = findNearestAllowedAngle(Cangs, cone);
#ifdef DEBUG
Printf("--- theta=%g, phi=%g, cone=%g",
theta*TMath::RadToDeg(), phi*TMath::RadToDeg(), cone);
#endif
// calculate channel shifts
TArrayD pwdt = NSnChanCorl::GetPlaneWaveOffsets(theta,
phi,
zeros,
pos,
kNgTopFirn);
TVector3 dir;
dir.SetMagThetaPhi(1.0, theta, phi);
#ifdef DEBUG
TObjArray graphs;
graphs.SetOwner(kTRUE);
TCanvas* c1 = new TCanvas("c1","c1",800,700);
c1->Divide(2,2);
#endif
for (UChar_t ch=0; ch<NSnConstants::kNchans; ++ch) {
// look up the EAng, fhang for this antenna
Float_t feang(0), fhang(0);
findEangHang(nvec[ch], dir, feang, fhang);
feang = TMath::Abs(TVector2::Phi_mpi_pi(feang));
fhang = TMath::Abs(TVector2::Phi_mpi_pi(fhang));
feang *= TMath::RadToDeg();
fhang *= TMath::RadToDeg();
// find closest allowed angle
EAng[ch] = findNearestAllowedAngle(Eangs, feang);
HAng[ch] = findNearestAllowedAngle(Hangs, fhang);
const Long64_t ni =
nnt->GetEntryNumberWithIndex(EAng[ch] + (1000*HAng[ch]), CAng);
#ifdef DEBUG
Printf("EAng=%g (%g), HAng=%g (%g), CAng=%g, ni=%lld",
EAng[ch],feang,HAng[ch],fhang,CAng,ni);
#endif
if (ni>-1) {
nnt->GetEntry(ni);
#ifdef DEBUG
c1->cd(ch+1);
TGraph* och = wave->NewGraphForChan(0, kTRUE);
const Int_t ochnp = och->GetN();
Double_t* ochy = och->GetY();
for (Int_t k=0; k<ochnp; ++k, ++ochy) {
*ochy *= norm;
}
graphs.Add(och);
och->SetLineColor(kBlack);
och->SetMarkerColor(kBlack);
och->SetMarkerStyle(7);
och->Draw("apl");
#endif
// first calculate the shift between chans due to the angle
// ch0 is always unshifted; other chans shifted w.r.t. ch0
// jitter the shift by the specified timing resolution
const Double_t shift =
rnd.Gaus( (ch==0) ? 0.0
: -pwdt.At( TSnRecoChanOffsets::IndexFor(ch, 0) ),
timereso);
// get a graph of the waveform
// data only in channel 0 of the template
TGraph* gch = wave->NewGraphForChan(0, kTRUE);
// "fit" the graph with an spline interpolation
TSpline3* gsp = new TSpline3("stmp", gch);
// evaluate the spline at the new sample positions
// (shifted, but NOT wrapped)
// and save that into the event data waveform
Float_t* d = evdat->GetData(ch);
const Float_t tstep = 1.0 / NSnConstants::kSampRate;
const Float_t tlast = static_cast<Float_t>(NSnConstants::kNsamps-1)
/ NSnConstants::kSampRate;
Float_t xloc = shift;
for (UChar_t s=0; s<NSnConstants::kNsamps; ++s, ++d, xloc+=tstep) {
if ( (xloc<0.0) || (xloc>=tlast) ) {
*d = 0.0;
} else {
*d = gsp->Eval( xloc );
}
}
#ifdef DEBUG
Printf("ch%hhu: shift=%g, dt=%g", ch, shift,
(ch==0) ? 0.0
: pwdt.At( TSnRecoChanOffsets::IndexFor(ch, 0) ));
TGraph* fch = evdat->NewGraphForChan(ch, kTRUE);
Double_t* y = gch->GetY();
Double_t* fy = fch->GetY();
for (UChar_t s=0; s<NSnConstants::kNsamps; ++s, ++y, ++fy) {
*y *= norm;
*fy *= norm;
}
gch->SetLineColor(kRed+1);
gch->SetMarkerColor(kRed+1);
gch->SetMarkerStyle(7);
gch->Draw("pl");
delete gsp;
gsp = new TSpline3("stmp",gch);
gsp->SetLineColor(kAzure-6);
gsp->SetMarkerColor(kAzure-6);
gsp->SetMarkerStyle(7);
gsp->Draw("pl same");
graphs.Add(fch);
fch->SetLineColor(kOrange+7);
fch->SetMarkerColor(kOrange+7);
fch->SetMarkerStyle(7);
fch->Draw("pl");
#endif
d = evdat->GetData(ch);
// finally add noise to the waveform
for (UChar_t s=0; s<NSnConstants::kNsamps; ++s, ++d) {
*d = rnd.Gaus( (*d) * norm, noise );
}
#ifdef DEBUG
TGraph* nch = evdat->NewGraphForChan(ch, kTRUE);
graphs.Add(nch);
nch->SetLineColor(kGreen+2);
nch->SetMarkerColor(kGreen+2);
nch->SetMarkerStyle(7);
nch->Draw("pl");
#endif
// cleanup
#ifdef DEBUG
graphs.Add(gch);
graphs.Add(gsp);
#else
delete gch;
delete gsp;
#endif
}
} // end channel loop
#ifdef DEBUG
TObject* o(0);
while ( (o=c1->WaitPrimitive())!=0 ) {
gSystem->ProcessEvents();
}
delete c1;
#endif
// save this event
ot->Fill();
} // end event loop
fprintf(stderr,"\n");
timer.Stop();
Printf("Finished generating events in:");
timer.Print();
outf->Write();
Printf("Wrote [%s]",outf->GetName());
delete outf; outf=0; // close file
}
void fillTree(TTree*& tree, TGraph*& graph, double& limit, double& lowlimit, unsigned int itype, std::map<double, std::string>& tanb_values, bool upper_exclusion, unsigned int verbosity)
{
double value=-99;
double tanb_help=-99;
unsigned int ibin=0;
// fill graph with scanned points
cout << "now looping on map" << endl;
for(std::map<double, std::string>::const_iterator tanb = tanb_values.begin(); tanb!=tanb_values.end(); ++tanb){
value = singlePointLimit(tanb->second, tanb->first, itype, verbosity);
cout << "value = " << value << " = singlePointLimit(" << tanb->second <<", " << tanb->first << ", " << itype << ", " << verbosity << ");" << endl;
if( value>0 ){
graph->SetPoint(ibin++, tanb->first, value);
cout << "graph->SetPoint("<< ibin++ <<", " << tanb->first<<", "<< value << ");"<< endl;
}
tanb_help=tanb->first;
}
cout << "Filled graph. Will now determine the smooth curve on graph for interpolation" << endl;
// determine smooth curve on graph for interpolation
TSpline3* spline = new TSpline3("spline", graph, "r", 3., 10.);
// linear polarisation func
TF1 *fnc = 0;
// determine all crossing points with y==1
std::vector<CrossPoint> points = crossPoints(graph);
int dist = 1;
bool filled = false, lowfilled=false;
unsigned int np = 0;
unsigned int steps = 10e6;
if(points.size()>0) limit = graph->GetX()[upper_exclusion ? points.begin()->first : points.end()->first];
cout << "Starting loop on the points for determining crossings. Points.size()=" << points.size() << endl;
for(std::vector<CrossPoint>::const_reverse_iterator point = points.rbegin(); point!=points.rend(); ++point, ++np){
//for(std::vector<CrossPoint>::iterator point = points.begin(); point!=points.end(); ++point, ++np){
//double min = (point->first-dist)>0 ? graph->GetX()[point->first-dist] : graph->GetX()[0];
double min = (point->first)>0 ? graph->GetX()[point->first] : graph->GetX()[0];
double max = (point->first+dist)<graph->GetN() ? graph->GetX()[point->first+dist] : graph->GetX()[graph->GetN()-1];
//double y_min = (point->first-dist)>0 ? graph->GetY()[point->first-dist] : graph->GetY()[0];
double y_min = (point->first)>0 ? graph->GetY()[point->first] : graph->GetY()[0];
double y_max = (point->first+dist)<graph->GetN() ? graph->GetY()[point->first+dist] : graph->GetY()[graph->GetN()-1];
vector<double> crossing;
crossing.push_back((min-max-y_max*min+y_min*max)/(y_min-y_max));
//double crossing;
//crossing = (1.-y_min)/(y_max-y_min)*(max-min);
double deltaM = -999.;
double offset = min; double step_size = (max-min)/steps;
double splinelimit;
for(unsigned int scan=0; scan<=steps; ++scan){
if(deltaM<0 || fabs(spline->Eval(offset+scan*step_size)-1.)<deltaM){
splinelimit=offset+scan*step_size;
deltaM=fabs(spline->Eval(offset+scan*step_size)-1.);
}
}
std::cout << "****************************************************************" << std::endl;
std::cout << "* [" << np+1 << "|" << point->second << "] asymptotic limit(";
std::cout << limitType(itype) << ") :" << crossing[np] << " -- " << splinelimit << " deltaM : " << deltaM;
// if(((upper_exclusion && point->second) || (!upper_exclusion && !(point->second))) && !filled){
// //std::cout << "limit is taken from linear interpolation at the moment" << std::endl;
// //limit = crossing;
// std::cout << " [-->to file]"; filled=true; tree->Fill();
// }
if(np==0){
fnc = new TF1("fnc", "[0]*x+[1]", min, max);
fnc->SetParameter(0, (y_min-y_max)/(min-max));
fnc->SetParameter(1, (y_max*min-y_min*max)/(min-max));
std::cout << std::endl;
std::cout << "high limit is taken from linear interpolation at the moment" << std::endl;
limit = crossing[np];
std::cout << "high limit = " << limit << std::endl;
filled=true;
//std::cout << " [-->to file]"; filled=true; tree->Fill();
}
if(np==1){
fnc = new TF1("fnc", "[0]*x+[1]", min, max);
fnc->SetParameter(0, (y_min-y_max)/(min-max));
fnc->SetParameter(1, (y_max*min-y_min*max)/(min-max));
std::cout << std::endl;
std::cout << "low limit is taken from a spline fit at the moment" << std::endl;
lowlimit = splinelimit; //crossing[np];
std::cout << "low limit = " << lowlimit << std::endl;
lowfilled=true;
//std::cout << " [-->to file]"; lowfilled=true; tree->Fill();
}
std::cout << endl;
std::cout << "****************************************************************" << std::endl;
}
if(filled){
if(lowfilled) {std::cout << " [-->to file]"; tree->Fill();}
else{ lowlimit = 0.5; std::cout << " [-->to file]"; tree->Fill();}
}
// catch cases where no crossing point was found
if(!filled){
if(value<1)
{
std::cout << "WARNING: no crossing found - all tanb values excluded: " << value << std::endl;
if(itype == observed) { limit=1.00; lowlimit=1.00;}
if(itype == plus_2sigma) { limit=3.00; lowlimit=3.00;}
if(itype == plus_1sigma) { limit=2.00; lowlimit=2.00;}
if(itype == expected) { limit=1.50; lowlimit=1.50;}
if(itype == minus_1sigma) { limit=1.00; lowlimit=1.00;}
if(itype == minus_2sigma) { limit=0.50; lowlimit=0.50;}
// limit=2;
// lowlimit=2;
tree->Fill();
}
else
{
std::cout << "WARNING: no crossing found - no tanb value excluded: " << value << " -- " << tanb_help << std::endl;
if(itype == observed) { limit=tanb_help*value; }
if(itype == plus_2sigma) { limit=tanb_help*value; }
if(itype == plus_1sigma) { limit=tanb_help*value; }
if(itype == expected) { limit=tanb_help*value; }
if(itype == minus_1sigma) { limit=tanb_help*value; }
if(itype == minus_2sigma) { limit=tanb_help*value; }
lowlimit=0.2;///////0.5;
tree->Fill();
}
}
cout << "Evaluated crossings. Now plotting" << endl;
//if( verbosity>0 ){
std::string monitor = std::string("SCAN-")+limitType(itype);
TCanvas* canv = new TCanvas(monitor.c_str(), monitor.c_str(), 600, 600);
cout << "Canva created. Now creating frame taking values from graph" << endl;
cout << "Graph getx " << graph->GetX()[0] << endl;
cout << "Graph getn " << graph->GetN() << endl;
cout << "Graph getxn " << graph->GetX()[graph->GetN()-1];
TH1F* frame = canv->DrawFrame(graph->GetX()[0]-0.1, 0., graph->GetX()[graph->GetN()-1]+0.1, 10.);
cout << "Frame created, taking values from graph" << endl;
canv->SetGridx(1); canv->SetGridy(1); canv->cd();
graph->SetMarkerStyle(20.);
graph->SetMarkerColor(kBlack);
graph->SetMarkerSize(1.3);
graph->Draw("P");
//spline->SetLineColor(kBlue);
//spline->SetLineWidth(3.);
//spline->Draw("same");
if(filled) fnc->SetLineColor(kRed);
if(filled) fnc->SetLineWidth(3.);
if(filled) fnc->Draw("same");
canv->Print(monitor.append(".png").c_str(), "png");
delete frame; delete canv; delete spline;
if(filled) delete fnc;
//}
return;
}
//_________________________________________________________________________________________
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;
}
void CommandMSUGRA(TString plotName_,Int_t tanBeta_, Bool_t plotLO_){
gStyle->SetOptTitle(0);
gStyle->SetOptStat(0);
gStyle->SetPalette(1);
gStyle->SetTextFont(42);
//convert tanb value to string
std::stringstream tmp;
tmp << tanBeta_;
TString tanb( tmp.str() );
// Output file
cout << " create " << plotName_ << endl;
TFile* output = new TFile( plotName_, "RECREATE" );
if ( !output || output->IsZombie() ) { std::cout << " zombie alarm output is a zombie " << std::endl; }
//-----------------------------------
//set old exclusion Limits
//-----------------------------------
TGraph* LEP_ch = set_lep_ch(tanBeta_);
TGraph* LEP_sl = set_lep_sl(tanBeta_); //slepton curve
TGraph* TEV_sg_cdf = set_tev_sg_cdf(tanBeta_); //squark gluino cdf
TGraph* TEV_sg_d0 = set_tev_sg_d0(tanBeta_); //squark gluino d0
//TGraph* TEV_tlp_cdf = set_tev_tlp_cdf(tanBeta_); //trilepton cdf
//TGraph* TEV_tlp_d0 = set_tev_tlp_d0(tanBeta_); //trilepton d0
TGraph* stau = set_tev_stau(tanBeta_); //stau
//TGraph* NoEWSB = set_NoEWSB(tanBeta_);
TGraph* TEV_sn_d0_1 = set_sneutrino_d0_1(tanBeta_);
TGraph* TEV_sn_d0_2 = set_sneutrino_d0_2(tanBeta_);
//-----------------------------------
// constant sqquark and gluino lines
//-----------------------------------
const unsigned int nlines = 4;
TF1* lnsq[nlines];
TF1* lngl[nlines];
TLatex* sq_text[nlines];
TLatex* gl_text[nlines];
for(unsigned int i = 0; i < nlines; i++){
lnsq[i] = constant_squark(tanBeta_,i);
sq_text[i] = constant_squark_text(i,*lnsq[i],tanBeta_);
lngl[i] = constant_gluino(tanBeta_,i);
gl_text[i] = constant_gluino_text(i,*lngl[i]);
}
//-----------------------------------
// Legends
//-----------------------------------
TLegend* legst = makeStauLegend(0.05,tanBeta_);
TLegend* legexp = makeExpLegend( *TEV_sg_cdf,*TEV_sg_d0,*LEP_ch,*LEP_sl,*TEV_sn_d0_1,0.035,tanBeta_);
//TLegend* legNoEWSB = makeNoEWSBLegend(0.05,tanBeta_);
//-----------------------------------
// make Canvas
//-----------------------------------
TCanvas* cvsSys = new TCanvas("cvsnm","cvsnm",0,0,800,600);
gStyle->SetOptTitle(0);
cvsSys->SetFillColor(0);
cvsSys->GetPad(0)->SetRightMargin(0.07);
cvsSys->Range(-120.5298,26.16437,736.0927,500);
//cvsSys->Range(-50.5298,26.16437,736.0927,500);
cvsSys->SetFillColor(0);
cvsSys->SetBorderMode(0);
cvsSys->GetPad(0)->SetBorderSize(2);
cvsSys->GetPad(0)->SetLeftMargin(0.1407035);
cvsSys->GetPad(0)->SetTopMargin(0.08);
cvsSys->GetPad(0)->SetBottomMargin(0.13);
cvsSys->SetTitle("tan#beta="+tanb);
output->cd();
//and now
//the exclusion limits
TGraphErrors* First ;
//TGraphErrors* FirstDummy ;
TGraphErrors* Second;
TGraphErrors* Third;
TGraphErrors* Second_up;
TGraphErrors* Second_low;
TGraphErrors* expband;
TGraphErrors* obs2010;
if (tanBeta_ == 3) {
//First = getObserved_NLOunc();
//FirstDummy = getObserved_NLOunc();
} else {
//First = getNLOobsTanbeta10();
//First = getNLOobsTanbeta10_smooth();
//First = getNLOobsTanbeta10_funky();
First = getNLOobsTanbeta10();
//FirstDummy = getObserved_NLOunc();
//Second = getNLOexpTanbeta10();
Second = getNLOexpTanbeta10();
Second_up = getNLOexpUpTanbeta10();
Second_low = getNLOexpDownTanbeta10();
Third = getNLOexpTanbeta10();
expband = getNLOexpTanbeta10_band();
obs2010 = getNLOobsTanbeta10_2010();
//Second_up = getExpected_NLO_tanBeta3_up();
//Second_low = getExpected_NLO_tanBeta3_low();
}
//Third = getExpected_NLOunc();//getLO_jetMultis();
//Second = getLO_signalCont();
TGraph *grObserved3p5_shape = getObserved3p5_shape();
TGraph *grExpected3p5_shape = getExpected3p5_shape();
// First->SetMarkerColor(kWhite);
// First->GetXaxis()->SetRangeUser(2.,500.);
// First->GetYaxis()->SetRangeUser(80,500);
// if(tanBeta_ == 50) First->GetXaxis()->SetRangeUser(200,500);
// First->GetXaxis()->SetTitle("m_{0} (GeV)");
// First->GetYaxis()->SetTitle("m_{1/2} (GeV)");
// First->GetYaxis()->SetTitleOffset(0.8);
double m0min = 0;
if (tanBeta_ == 50) m0min=200;
TH2D* hist = new TH2D("h","h",100,m0min,m0max,100,120,m12max);
hist->Draw();
hist->GetXaxis()->SetTitle("m_{0} (GeV/c^{2})");
hist->GetYaxis()->SetTitle("m_{1/2} (GeV/c^{2})");
hist->GetYaxis()->SetTitleOffset(1.);
hist->GetXaxis()->SetNdivisions(506);
// if (tanBeta_ == 50) hist->GetXaxis()->SetNdivisions(504);
hist->GetYaxis()->SetNdivisions(506);
//int col[]={2,3,4};
//TFile *f = TFile::Open("exclusion_Spring11_CLs.root");
//TFile *f = TFile::Open("exclusion_Fall10_tcmet_JPT.root");
//TFile *f = TFile::Open("exclusion_Fall10_pfmet_pfjets.root");
//TFile *f = new TFile("exclusion_Fall10_pfmet_pfjets_CLs.root");
//TH2F* h = (TH2F*) f->Get("hexcl_NLO_obs");
//TH2F* h = (TH2F*) f->Get("hexcl_NLO_exp");
//TH2F* h = (TH2F*) f->Get("hexcl_NLO_expp1");
//TH2F* h = (TH2F*) f->Get("hexcl_NLO_expm1");
//h->SetMaximum(3);
//h->Draw("samecolz");
TSpline3 *sFirst = new TSpline3("sFirst",First);
sFirst->SetLineColor(kRed);
sFirst->SetLineWidth(3);
First->SetLineColor(kRed);
First->SetLineWidth(3);
TSpline3 *sSecond = new TSpline3("sSecond",Second);
sSecond->SetLineColor(kBlue);
sSecond->SetLineStyle(2);
sSecond->SetLineWidth(3);
Second->SetLineColor(kBlue);
Second->SetLineStyle(2);
Second->SetLineWidth(3);
TSpline3 *sSecond_up = new TSpline3("sSecond_up",Second_up);
sSecond_up->SetLineColor(kCyan);
sSecond_up->SetLineStyle(1);
sSecond_up->SetLineWidth(3);
Second_up->SetLineColor(kBlue);
//Second_up->SetLineColor(1);
Second_up->SetLineWidth(2);
TSpline3 *sSecond_low = new TSpline3("sSecond_low",Second_low);
sSecond_low->SetLineColor(kCyan);
sSecond_low->SetLineStyle(1);
sSecond_low->SetLineWidth(3);
Second_low->SetLineColor(kBlue);
//Second_low->SetLineColor(1);
Second_low->SetLineWidth(2);
Third->SetLineColor(kCyan);
Third->SetLineWidth(30);
// TSpline3 *sThird = new TSpline3("sThird",Third);
// sThird->SetLineColor(kGreen+2);
// sThird->SetLineStyle(4);
// sThird->SetLineWidth(3);
// Third->SetLineColor(kGreen+2);
// Third->SetLineStyle(4);
// Third->SetLineWidth(3);
// First->Draw("AP");
/*
for(vector<TH1F*>::iterator at = exclusionPlots.begin();at != exclusionPlots.end();++at){
(*at)->SetContour(2);
if(n == 0){
(*at)->DrawCopy();
(*at)->SetTitle("tan#beta="+tanBeta_);
}
cout << " n " << n << endl;
(*at)->DrawCopy("same");
// (*it)->Write();
cout << " here " << endl;
n++;
}*/
TLegend* myleg;
if( plotLO_ ) myleg = new TLegend(0.3,0.75,0.54,0.9,NULL,"brNDC");
else myleg = new TLegend(0.25,0.75,0.54,0.9,NULL,"brNDC");
myleg->SetFillColor(0);
myleg->SetShadowColor(0);
myleg->SetTextSize(0.03);
myleg->SetBorderSize(0);
TH1F* hdummy = new TH1F();
hdummy->SetLineColor(4);
hdummy->SetFillColor(4);
hdummy->SetFillStyle(3002);
hdummy->SetLineWidth(2);
hdummy->SetLineStyle(2);
// myleg->AddEntry(sSecond,"NLO Expected Limit","L");
if (tanBeta_ == 3 && plotLO_) {
myleg->AddEntry(sSecond,"LO Observed Limit","L");
myleg->AddEntry(sFirst,"NLO Observed Limit","L");
} else {
//myleg->AddEntry(sFirst,"CMS OS Dilepton Limit","L");
myleg->AddEntry(sFirst,"NLO observed limit","L");
//myleg->AddEntry(hdummy,"NLO expected limit","LF");
myleg->AddEntry(hdummy,"NLO expected limit","L");
//myleg->AddEntry(sSecond,"NLO expected limit","L");
//myleg->AddEntry(sSecond_up,"NLO expected limit (+/-1#sigma)","L");
myleg->AddEntry(obs2010,"2010 NLO observed limit","L");
}
//sSecond_up->Draw("h same");
//sSecond_low->Draw("h same");
//constant squark and gluino mass contours
for (unsigned int it=1;it<nlines;it++) {
lngl[it]->Draw("same");
lnsq[it]->Draw("same");
sq_text[it]->Draw();
gl_text[it]->Draw();
}
sSecond_up->SetFillStyle(4010);
sSecond_up->SetFillColor(kCyan-10);
sSecond_low->SetFillStyle(1001);
sSecond_low->SetFillColor(10);
//expected and observed (LO & NLO) contours
//sFirst->Draw("same");
//sSecond->Draw("same");
//sThird->Draw("same");
//Third->Draw("samec");
//expband->Draw("samecf"); // summer11 expected band
//First->Draw("samec"); // summer11 observed exclusion
//First->SetMarkerColor(1);
//First->Draw("samep");
//Second->Draw("samec"); // summer11 expected limit
obs2010->Draw("samec");
//Second_up->Draw("samec");
//Second_low->Draw("samec");
grObserved3p5_shape->SetLineColor(2);
grExpected3p5_shape->SetLineColor(4);
grExpected3p5_shape->SetLineStyle(2);
grObserved3p5_shape->Draw("same");
grExpected3p5_shape->Draw("same");
// if (tanBeta_ == 3) Third->Draw("samec");
//if (tanBeta_ == 3 && plotLO_) Second->Draw("samec");
//exclusion limits previous experiments
if(tanBeta_ == 3){
TEV_sn_d0_1->Draw("fsame");
TEV_sn_d0_2->Draw("fsame");
}
LEP_ch->Draw("fsame");
if (tanBeta_ != 50) LEP_sl->Draw("fsame");
//remove CDF/D0 excluded regions
TEV_sg_cdf->Draw("fsame");
TEV_sg_d0->Draw("same");
TEV_sg_d0->Draw("fsame");
//other labels
Double_t xpos = 0;
Double_t xposi = 0;
Double_t ypos = 0;
if(tanBeta_ == 50) xposi = 100;
if(tanBeta_ == 50) xpos = 200;
if(tanBeta_ == 50) ypos = -10;
//TLatex* lumilabel = new TLatex(135.+xposi,510.,"L_{int} = 34 pb^{-1}, #sqrt{s} = 7 TeV");
//TLatex* lumilabel = new TLatex(305.+xposi + 100,510.,"L_{int} = 976 pb^{-1}, #sqrt{s} = 7 TeV");
TLatex* lumilabel = new TLatex(490,m12max+15,"#sqrt{s} = 7 TeV, #scale[0.6]{#int} L dt = 3.5 fb^{-1}");
lumilabel->SetTextSize(0.05);
lumilabel->Draw("same");
TLatex* cmslabel = new TLatex(10.,m12max+15,"CMS Preliminary");
cmslabel->SetTextSize(0.05);
cmslabel->Draw("same");
TString text_tanBeta;
//text_tanBeta = "tan#beta = "+tanb+", A_{0} = 0, sign(#mu) > 0";
text_tanBeta = "tan#beta = "+tanb+", A_{0} = 0, #mu > 0";
//TLatex* cmssmpars = new TLatex(70.+xpos,340.+ypos,text_tanBeta);
TLatex* cmssmpars = new TLatex(120,540,text_tanBeta);
//TLatex* cmssmpars = new TLatex(200,370,text_tanBeta);
cmssmpars->SetTextSize(0.045);
cmssmpars->Draw("same");
//LM points
TMarker* LM0 = new TMarker(200.,160.,20);
TMarker* LM1 = new TMarker(60.,250.,20);
TMarker* LM3 = new TMarker(330.,240.,20);
TMarker* LM6 = new TMarker(80.,400.,20);
LM0->SetMarkerSize(1.2);
LM1->SetMarkerSize(1.2);
TLatex* tLM0 = new TLatex(205.,160.," LM0");
tLM0->SetTextSize(0.035);
TLatex* tLM1 = new TLatex(80.,245.,"LM1");
tLM1->SetTextSize(0.035);
//TLatex* tLM3 = new TLatex(350.,235.,"LM3 (tan#beta=20)");
TLatex* tLM3 = new TLatex(350.,235.,"LM3");
tLM3->SetTextSize(0.035);
TLatex* tLM6 = new TLatex(100.,395.,"LM6");
tLM6->SetTextSize(0.035);
// if (tanBeta_ != 50){
// LM0->Draw("same");
// tLM0->Draw("same");
// LM1->Draw("same");
// tLM1->Draw("same");
// }
if (tanBeta_ == 10){
LM1->Draw("same");
tLM1->Draw("same");
LM3->Draw("same");
tLM3->Draw("same");
LM6->Draw("same");
tLM6->Draw("same");
}
/*
Int_t n = 0;
for(vector<TH1F*>::iterator at = exclusionPlots.begin();at != exclusionPlots.end();++at){
(*at)->SetContour(2);
if(n == 0){
(*at)->DrawCopy("same");
(*at)->SetTitle("tan#beta=3");
}
cout << " n " << n << endl;
(*at)->DrawCopy("same");
// (*it)->Write();
cout << " here " << endl;
n++;
}
*/
//stau=LSP contour
stau->Draw("fsame");
//NoEWSB->Draw("fsame");
//legends
legexp->Draw();
legst->Draw();
myleg->Draw();
//legNoEWSB->Draw();
//First->Draw("samec");
// if (tanBeta_ == 3) Third->Draw("samec");
//if (tanBeta_ == 3 && plotLO_) Second->Draw("samec");
hist->Draw("sameaxis");
cvsSys->RedrawAxis();
cvsSys->Update();
cvsSys->Write();
if( plotLO_ ){
cvsSys->SaveAs("RA6_ExclusionLimit_tanb"+tanb+"_LO.pdf");
cvsSys->SaveAs("RA6_ExclusionLimit_tanb"+tanb+"_LO.png");
}else{
cvsSys->SaveAs("RA6_ExclusionLimit_tanb"+tanb+".eps");
cvsSys->SaveAs("RA6_ExclusionLimit_tanb"+tanb+".pdf");
cvsSys->SaveAs("RA6_ExclusionLimit_tanb"+tanb+".png");
}
output->Write();
//output->Close();
//delete output;
}
