void grshade() {
TCanvas *c1 = new TCanvas("c1","A Simple Graph Example",200,10,700,500);
c1->SetGrid();
c1->DrawFrame(0,0,2.2,12);
const Int_t n = 20;
Double_t x[n], y[n],ymin[n], ymax[n];
Int_t i;
for (i=0;i<n;i++) {
x[i] = 0.1+i*0.1;
ymax[i] = 10*sin(x[i]+0.2);
ymin[i] = 8*sin(x[i]+0.1);
y[i] = 9*sin(x[i]+0.15);
}
TGraph *grmin = new TGraph(n,x,ymin);
TGraph *grmax = new TGraph(n,x,ymax);
TGraph *gr = new TGraph(n,x,y);
TGraph *grshade = new TGraph(2*n);
for (i=0;i<n;i++) {
grshade->SetPoint(i,x[i],ymax[i]);
grshade->SetPoint(n+i,x[n-i-1],ymin[n-i-1]);
}
grshade->SetFillStyle(3013);
grshade->SetFillColor(16);
grshade->Draw("f");
grmin->Draw("l");
grmax->Draw("l");
gr->SetLineWidth(4);
gr->SetMarkerColor(4);
gr->SetMarkerStyle(21);
gr->Draw("CP");
}
void FindFuncsLT(){
TGraph * FNegvsLT = new TGraph();
FNegvsLT->SetName("FNegvsLT");
double par[3] = {mtop, MW, mB};
for(int i = 0; i<1000; i++){
double x[4] = {1, 0, i*0.001, 0};
cout<<x[1]<<"\t"<<FNeg(x, par)<<endl;
FNegvsLT->SetPoint(i, (i*0.001), FNeg(x, par));
}
FNegvsLT->SaveAs("FNegvsLT.C");
TGraph * FPosvsLT = new TGraph();
FPosvsLT->SetName("FPosvsLT");
for(int i = 0; i<1000; i++){
double x[4] = {1, 0, i*0.001, 0};
cout<<x[1]<<"\t"<<FR(x, par)<<endl;
FPosvsLT->SetPoint(i, (i*0.001), FR(x, par));
}
FPosvsLT->SaveAs("FPosvsLT.C");
TGraph * FZerovsLT = new TGraph();
FZerovsLT->SetName("FZerovsLT");
for(int i = 0; i<1000; i++){
double x[4] = {1, 0, i*0.001, 0};
cout<<x[1]<<"\t"<<FZero(x, par)<<endl;
FZerovsLT->SetPoint(i, (i*0.001), FZero(x, par));
}
FZerovsLT->SaveAs("FZerovsLT.C");
}
TGraph *MarcosExclusionLine(TH2F *exclusionshape, int scantype) {
// write_warning(__FUNCTION__,"USING MARIAS ALGORITHM...");
// return get_exclusion_line(exclusionshape);
TH2F *fakehisto = flipth2f(exclusionshape);
TGraph *fakegraph = get_mSUGRA_exclusion_line(fakehisto, scantype);
TGraph *realgraph = new TGraph(fakegraph->GetN());
double x,y;
float last_x=0;
float last_y=0;
int counter=0;
for(int i=0;i<fakegraph->GetN();i++) {
fakegraph->GetPoint(i,x,y);
if(scantype==PlottingSetup::SMS) {
if(y-x<75) {
realgraph->SetPoint(counter,last_x,last_y);
counter++;
continue;
}
}
realgraph->SetPoint(counter,y,x);
last_x=y;
last_y=x;
counter++;
}
realgraph->SetLineColor(TColor::GetColor("#151515")); //nice black
realgraph->SetLineWidth(2);
//realgraph->SetLineWidth(4);//paper style
delete fakegraph;
return realgraph;
}
vector<double> getValsFromLikelihood(TGraph *graph){
TGraph *grRot = new TGraph();
TGraph *grRotUpp = new TGraph();
TGraph *grRotLow = new TGraph();
int pLow=0,pHigh=0;
pair<double,double> graphMin = getGraphMin(graph);
for (int p=0; p<graph->GetN(); p++){
double x,y;
graph->GetPoint(p,x,y);
grRot->SetPoint(p,y,x);
if (x<=graphMin.first) {
grRotLow->SetPoint(pLow,y,x);
pLow++;
}
if (x>=graphMin.first) {
grRotUpp->SetPoint(pHigh,y,x);
pHigh++;
}
}
// return best fit and +/- 1/2 sigma errors
vector<double> result;
result.push_back(grRot->Eval(0.));
result.push_back(grRotLow->Eval(1.0));
result.push_back(grRotUpp->Eval(1.0));
result.push_back(grRotLow->Eval(4.0));
result.push_back(grRotUpp->Eval(4.0));
return result;
}
TGraph * makeOBV(TGraph *Graph1){
TGraph *gr = new TGraph();
double X;
double Y;
int pp=0;
Graph1->GetPoint(1,X,Y);
for (double MDM=1;MDM<=Y;MDM+=0.1){
gr->SetPoint(pp,MDM,vecF(X,MDM));
pp++;
}
for (int p =1;p<Graph1->GetN();p++){
Graph1->GetPoint(p,X,Y);
if (!(X >1)) continue;
std::cout << X << " " << Y << std::endl;
gr->SetPoint(pp,Y,vecF(X,Y));
pp++;
}
gr->GetXaxis()->SetTitle("m_{DM}");
gr->GetYaxis()->SetTitle("#sigma_{SD}");
gr->SetName(Form("%s_DD",Graph1->GetName()));
gr->SetLineStyle(Graph1->GetLineStyle());
gr->SetLineColor(Graph1->GetLineColor());
gr->SetLineWidth(Graph1->GetLineWidth());
return gr;
}
void MaxExposuretimeVsPixelClock()
{
TGraph * gr = new TGraph();
gr->SetMarkerStyle(20);
gr->SetPoint(0, 24, 333);
gr->SetPoint(1, 36, 222);
gr->SetPoint(2, 43, 186);
gr->Draw("AP");
}
void test_many_fits(int ntries, bool do_fit)
{
TH1F* means1d = new TH1F("means1d","Fitted means", 200, -10, 10);
TH1F* sigmas1d = new TH1F("sigmas1d","Fitted sigmas", 100, 0, 10);
TGraph* means = tgraph("means","Fitted means vs try", 1);
TGraph* avgs = tgraph("avgs","Histogram average vs try", 2);
TGraph* sigmas = tgraph("sigmas","Fitted sigmas vs try", 1);
TGraph* rmses = tgraph("rmses","Histogram RMSs vs try", 2);
for (int count=0; count < ntries; ++count) {
vector<double> ret = one_fit(do_fit);
if (ret[0] != 0) {
means1d->Fill(ret[1]);
means->SetPoint(count,count,ret[1]);
sigmas1d->Fill(ret[2]);
sigmas->SetPoint(count,count,ret[2]);
}
avgs->SetPoint(count,count,ret[3]);
rmses->SetPoint(count,count,ret[4]);
}
canvas->Clear();
canvas->Divide(2,2);
canvas->cd(1);
means1d->Draw();
canvas->cd(2);
avgs->Draw("AL");
if (do_fit) {
means->Draw("");
}
canvas->cd(3);
sigmas1d->Draw();
canvas->cd(4);
rmses->Draw("AL");
if (do_fit) {
sigmas->Draw("");
}
if (do_fit) {
canvas->Print("test_fit.pdf");
}
else {
canvas->Print("test_hist.pdf");
}
}
void processmarriage(const char* ifname="marry.txt",const char* ofname="marry.root"){
vector<int> mage;
vector<float> mpercent;
vector<int> fage;
vector<float> fpercent;
mage.push_back(0);
mpercent.push_back(0.0);
fage.push_back(0);
fpercent.push_back(0.0);
ifstream marry(ifname);
while(1){
int gender,year;
float percent;
marry >> gender >> year >> percent;
if(!marry.good())break;
if(gender == 1){
mage.push_back(year);
mpercent.push_back(percent);
}
if(gender == 0){
fage.push_back(year);
fpercent.push_back(percent);
}
}
TFile* outfile = new TFile(ofname,"RECREATE");
TGraph* man = new TGraph(mage.size());
TGraph* woman = new TGraph(fage.size());
for(int i = 0; i < (int)mage.size(); i++){
man->SetPoint(i,mage[i],mpercent[i]);
}
for(int i = 0; i < (int)fage.size(); i++){
woman->SetPoint(i,fage[i],fpercent[i]);
}
man->SetName("man");
woman->SetName("woman");
man->Write();
woman->Write();
outfile->Write();
outfile->Close();
}
void createInputs(int n = 2)
{
for(UInt_t i = 0; i < (UInt_t)n; ++i ) {
TFile *file = TFile::Open(TString::Format("input%d.root",i),"RECREATE");
TH1F * h = new TH1F("h1","",10,0,100);
h->Fill(10.5); h->Fill(20.5);
Int_t nbins[5];
Double_t xmin[5];
Double_t xmax[5];
for(UInt_t j = 0; j < 5; ++j) {
nbins[j] = 10; xmin[j] = 0; xmax[j] = 10;
}
THnSparseF *sparse = new THnSparseF("sparse", "sparse", 5, nbins, xmin, xmax);
Double_t coord[5] = {0.5, 1.5, 2.5, 3.5, 4.5};
sparse->Fill(coord);
sparse->Write();
THStack *stack = new THStack("stack","");
h = new TH1F("hs_1","",10,0,100);
h->Fill(10.5); h->Fill(20.5);
h->SetDirectory(0);
stack->Add(h);
h = new TH1F("hs_2","",10,0,100);
h->Fill(30.5); h->Fill(40.5);
h->SetDirectory(0);
stack->Add(h);
stack->Write();
TGraph *gr = new TGraph(3);
gr->SetName("exgraph");
gr->SetPoint(0,1,1);
gr->SetPoint(1,2,2);
gr->SetPoint(2,3,3);
gr->Write();
TTree *tree = new TTree("tree","simplistic tree");
Int_t data = 0;
tree->Branch("data",&data);
for(Int_t l = 0; l < 2; ++l) {
data = l;
tree->Fill();
}
file->Write();
delete file;
}
}
void decorate(TCanvas *can,TH2D &h, bool addLHC=true){
TLatex * tex = new TLatex();
tex->SetNDC();
tex->SetTextFont(42);
tex->SetLineWidth(2);
tex->SetTextSize(0.03);
tex->DrawLatex(0.32,0.93,"4.9 fb^{-1} (7 TeV) + 19.7 fb^{-1} (8 TeV) + 2.3 fb^{-1} (13 TeV)");
tex->SetTextFont(42);
tex->SetTextSize(0.06);
//if (!addLHC){
// tex->SetTextSize(0.04);
// tex->SetTextColor(kWhite);
// if (isPrelim) tex->DrawLatex(0.155, 0.85, "#bf{CMS} #it{Preliminary}");
// else tex->DrawLatex(0.155, 0.85, "#bf{CMS}");
//} else {
if (isPrelim) {
tex->SetTextSize(0.04);
tex->DrawLatex(0.155, 0.85, "#bf{CMS} #it{Preliminary}");
}
else tex->DrawLatex(0.14, 0.93, "#bf{CMS}");
//}
TGraph *SM = new TGraph();
SM->SetPoint(0,1,1);
SM->SetMarkerColor(kOrange);
SM->SetMarkerStyle(33);
SM->SetMarkerSize(4);
SM->Draw("Psame");
TLegend *leg;
if (addLHC) {
if (isPrelim) leg = new TLegend(0.14,0.56,0.4,0.83);
else leg = new TLegend(0.14,0.62,0.4,0.89);
}
else leg = new TLegend(0.52,0.84,0.78,0.89);
leg->SetTextSize(0.042);
leg->SetFillStyle(0);
leg->SetTextColor(kWhite);
leg->SetBorderSize(0);
TGraph *gr = new TGraph(); gr->SetLineWidth(2); gr->SetMarkerStyle(34); gr->SetLineColor(kWhite); gr->SetMarkerColor(kWhite);
TGraph *gr2 = new TGraph(); gr2->SetLineWidth(2); gr2->SetLineColor(kWhite); gr2->SetLineStyle(2);
gr->SetMarkerSize(2);
if (addLHC){
leg->AddEntry(SM,"SM production","P");
leg->AddEntry(gr,"LHC best fit","P");
leg->AddEntry(gr, "68% CL","L");
leg->AddEntry(gr2,"95% CL","L");
leg->Draw();
} else {
TLatex *lat = new TLatex();
lat->SetTextSize(0.04);
lat->SetTextColor(kWhite);
lat->DrawLatex(1.05,1.05,"SM production");
}
can->SetTicky();
can->SetTickx();
can->RedrawAxis();
}
TGraph* getGraph(string name, int color, int width, int style, TLegend* LEG, TGraph* Ref, int type, string filePath){
// filePath+="/LimitSummary";
FILE* pFile = fopen(filePath.c_str(),"r");
if(!pFile){printf("Can't open %s\n",filePath.c_str()); exit(0);}
double mass, th, exp, obs, unused;// char buffer[1024];
TGraph* graph = new TGraph(250);
int N=0;
while(fscanf(pFile,"$%le$ & $%le$ & $[%le,%le]$ & $[%le,%le]$ & $%le$ & Th=$%le$ & pValue=$%le$\\\\\\hline\n",&mass, &exp, &unused, &unused, &unused,&unused,&obs, &th, &unused) != EOF){
// printf("%i %f - %f - %f\n",N,mass,exp, th);
double value = exp;
if(abs(type)==0) value = th;
else if(abs(type)==1) value = exp;
else value = obs;
// if(type<0 && filePath.find("cp0.80")!=string::npos) value *= pow(0.8, 2);
// if(type<0 && filePath.find("cp0.60")!=string::npos) value *= pow(0.6, 2);
// if(type<0 && filePath.find("cp0.30")!=string::npos) value *= pow(0.3, 2);
// if(type<0 && filePath.find("cp0.10")!=string::npos) value *= pow(0.1, 2);
if(Ref){value/=Ref->Eval(mass);}
graph->SetPoint(N, mass, value);N++;
if(N>100)break;
}
graph->Set(N);
graph->SetName(name.c_str());
graph->SetLineColor(color);
graph->SetLineWidth(width);
graph->SetLineStyle(style);
if(LEG)LEG->AddEntry(graph, name.c_str() ,"L");
return graph;
}
TGraph*
makeGraph(const TArrayI& adcs, Int_t rate)
{
Int_t last = adcs.fArray[0];
TArrayI counts(4);
TGraph* graph = new TGraph(rate * adcs.fN);
graph->SetLineColor(rate);
graph->SetMarkerColor(rate);
graph->SetMarkerStyle(20+rate);
graph->SetLineStyle(rate);
graph->SetName(Form("rate%d", rate));
graph->SetTitle(Form("Rate %d", rate));
for (Int_t i = 0; i < adcs.fN; i++) {
counts.Reset(-1);
convert(rate, adcs.fArray[i], last, counts);
for (Int_t j = 0; j < rate; j++) {
Int_t idx = (i * rate + j);
Double_t x = (i + (rate > 1 ? Float_t(j+1) / rate-1 : 0));
graph->SetPoint(idx, x, counts[j]);
}
last = counts[rate - 1];
}
return graph;
}
void ButkevichDrawer::adjust_graph(TGraph& graph) {
for (int iPoint=0;iPoint<graph.GetN();iPoint++) {
double x,y;
graph.GetPoint(iPoint,x,y);
graph.SetPoint(iPoint,x,y*1.0e-38);
}
}
void FBResults::GetbVSdEtaFromFit(vector<FBCorrel*>& vfbc , int accmin , int accmax , TGraph& p ){
for(int acc = accmin , i = 0 ; acc <= accmax ; ++acc , ++i){
double dEta = accMap->at(acc).etaP - accMap->at(acc).etaM;
p.SetPoint(i , dEta , vfbc.at(acc)->b_fit );
}
}
TGraph* getRoC( TH1D* h1_signal, TH1D* h1_bg ) {
TGraph* graph = new TGraph();
graph->SetName("RoC");
int nbins = h1_signal->GetNbinsX();
for( unsigned ibin=1; ibin<nbins+1; ++ibin ) {
float eff_signal_num = h1_signal->Integral( ibin, nbins );
float eff_signal_denom = h1_signal->Integral( 1, nbins );
float eff_bg_num = h1_bg->Integral( ibin, nbins );
float eff_bg_denom = h1_bg->Integral( 1, nbins );
float eff_signal = eff_signal_num/eff_signal_denom;
float eff_bg = eff_bg_num/eff_bg_denom;
graph->SetPoint( ibin-1, 1.-eff_bg, eff_signal );
} //for bins
return graph;
}
TGraph GetCurve(int Points,const double & hi_ex_set)
{
TGraph curve;
if(!gPrimaryReaction.IsSet()){
std::cout<<"Reaction Masses have not been set"<<std::endl;
exit(EXIT_FAILURE);
}
if(!gPrimaryReaction.BeamEnergy()){
std::cout<<"Beam Energy has not been set"<<std::endl;
exit(EXIT_FAILURE);
}
sim::RN_SimEvent evt1(gPrimaryReaction.BeamEnergy(),gPrimaryReaction.M_Beam(),gPrimaryReaction.M_Target(),gPrimaryReaction.M_Recoil(),gPrimaryReaction.M_Fragment());
// Fill the points of the kinematic curve
int p=0;
while(p<Points){
double theta_deg = 180.0*p/Points;
double phi=2.*M_PI*global::myRnd.Rndm();
TVector3 nv; nv.SetMagThetaPhi(1.,theta_deg*M_PI/180.0,phi);
if(!evt1.radiate_in_CM(nv,hi_ex_set))
continue;
else
curve.SetPoint(p, evt1.getLVrad().Theta()*180/3.14,(double)(evt1.getLVrad().E()-evt1.getLVrad().M()));
p++;
}
// end for(p)
return curve;
}
TGraph* makeSeparationCurve(const TH1* histogram_Z, const TH1* histogram_Higgs)
{
const double xMin = 0.;
const double xMax = 200.;
double normalization_Z = getIntegral(histogram_Z, xMin, xMax);
double normalization_Higgs = getIntegral(histogram_Higgs, xMin, xMax);
assert(histogram_Z->GetNbinsX() == histogram_Higgs->GetNbinsX());
const double epsilon = 1.e-3;
double runningSum_Z = 0.;
double runningSum_Higgs = 0.;
int numBins = histogram_Z->GetNbinsX();
TGraph* graph = new TGraph(numBins);
for ( int iBin = numBins; iBin >= 1; --iBin ) {
assert(TMath::Abs(histogram_Z->GetBinCenter(iBin) - histogram_Higgs->GetBinCenter(iBin)) < epsilon);
double binCenter = histogram_Z->GetBinCenter(iBin);
if ( binCenter >= xMin && binCenter < xMax ) {
runningSum_Z += histogram_Z->GetBinContent(iBin);
runningSum_Higgs += histogram_Higgs->GetBinContent(iBin);
}
graph->SetPoint(iBin - 1, runningSum_Higgs/normalization_Higgs, 1. - runningSum_Z/normalization_Z);
}
return graph;
}
TGraph *graphLH(std::string nuisname, double err ){
w->loadSnapshot("bestfitall"); // SetTo BestFit values as start
// Get The parameter we want
RooRealVar *nuis =(RooRealVar*) w->var(nuisname.c_str());
double bf = nuis->getVal();
double nll_0=nll->getVal();
TGraph *gr = new TGraph(2*npoints+1);
for (int i=-1*npoints;i<=npoints;i++){
nuis->setVal(bf+err*( ((float)i)*nsigma/npoints));
double nll_v = nll->getVal();
gr->SetPoint(i+npoints,nuis->getVal(),nll_v-nll_0);
}
gr->SetTitle("");
gr->GetYaxis()->SetTitle("NLL - obs data");
gr->GetYaxis()->SetTitleOffset(1.1);
gr->GetXaxis()->SetTitleSize(0.05);
gr->GetYaxis()->SetTitleSize(0.05);
gr->GetXaxis()->SetTitle(nuisname.c_str());
gr->SetLineColor(4);
gr->SetLineWidth(2);
gr->SetMarkerStyle(21);
gr->SetMarkerSize(0.6);
return gr;
}
/**
* \brief Plots the data
* Plots the data in data_x and data_y
* \param bool autox , bool autoy actually not needed ;)
* \return bool on success
*/
bool Plotter::plot(bool autox , bool autoy){
for(size_t j = 0 ; j< graph.size(); j++){
try{
TGraph *gr = graph[j].get();
for(size_t i = 0; i < data_x.size(); i++){
gr->SetPoint(i,data_x[i], data_y[i]);
}
if(!opt.autox){
gr->GetHistogram()->GetXaxis()->SetRangeUser(opt.startx, opt.stopx);
}
if(!opt.autoy){
gr->GetHistogram()->GetYaxis()->SetRangeUser(opt.starty, opt.stopy);
}
gr->SetMarkerSize(0.2);
gr->GetHistogram()->SetXTitle(opt.xlabel.c_str());
gr->GetHistogram()->SetYTitle(opt.ylabel.c_str());
gr->SetTitle(opt.plot_name.c_str());
gr->Draw("A*");
}catch(std::runtime_error &e){
std::cerr << e.what() << std::endl;
return false;
}
}
return true;
}
TGraph *gr21Dspline_tanB(RooSplineND *spline, RooRealVar &ldu, RooRealVar &lVu, RooRealVar &kuu, int type, double minNLL, double fixcbma)
{
TGraph *points = new TGraph();
int pcounter = 0;
double Vldu, VlVu, Vkuu; // holders for the values
for (double th=0.001; th<=10;th+=0.1){
double x = fixcbma;
double y = TMath::Tan(th); // x irrelevant in grid search
if (type==1)type1(x, y, &Vldu, &VlVu, &Vkuu);
if (type==2)type2(x, y, &Vldu, &VlVu, &Vkuu);
ldu.setVal(Vldu);
lVu.setVal(VlVu);
kuu.setVal(Vkuu);
val = 2*spline->getVal() - minNLL;
points->SetPoint(pcounter,val,y);
pcounter++;
}
points->GetYaxis()->SetTitle("tan(#beta)");
points->GetXaxis()->SetTitle("-2#Delta Log(L)");
return points;
}
void KVCanvas::ProjectionX(TH2* hh)
{
TString pname = Form("%s_px", hh->GetName());
Int_t ip = 1;
while (gROOT->FindObject(pname.Data())) {
pname = Form("%s_px%d", hh->GetName(), ip);
ip++;
}
TH1* px = hh->ProjectionX(pname.Data());
if (!px) return;
Double_t minY = (hh->GetYaxis()->GetXmin());
Double_t maxY = (hh->GetYaxis()->GetXmax());
Double_t dY = (maxY - minY) * 0.8;
Double_t maxH = px->GetBinContent(px->GetMaximumBin());
TGraph* gg = 0;
if ((gg = (TGraph*)gROOT->FindObject(Form("%s_gjx", hh->GetName())))) gg->Delete();
gg = new TGraph;
for (int i = 0; i < px->GetNbinsX(); i++) {
gg->SetPoint(i, px->GetBinCenter(i), minY + px->GetBinContent(i)*dY / maxH);
}
gg->SetName(Form("%s_gjx", hh->GetName()));
gg->SetTitle(Form("%s_gjx", hh->GetName()));
gg->SetLineColor(kBlack);
gg->SetMarkerColor(kBlack);
gg->SetMarkerStyle(8);
gg->Draw("PL");
Modified();
Update();
}
TGraph*
graph_delta( TGraph* g1, TGraph* g2 )
{
/* make sure both graph have smae number of entries- return NULL pointer if they don't */
if ( g1->GetN() != g2->GetN() )
{
cerr << "Mismatch in number of points for graphs in calculating delta!" << endl;
return NULL;
}
TGraph* gdelta = new TGraph( g1->GetN() );// (TGraph*)g1->Clone("gdelta");
for ( unsigned i = 0; i < g1->GetN(); i++ )
{
Double_t x1 = 0;
Double_t y1 = 0;
Double_t x2 = 0;
Double_t y2 = 0;
g1->GetPoint( i , x1 , y1 );
g2->GetPoint( i , x2 , y2 );
Double_t xdelta = x1;
Double_t ydelta = y1-y2;
gdelta->SetPoint(i, xdelta, ydelta);
}
return gdelta;
}
void
plotMaxLikelihood(const char* filename, const char* channel, double min_=0., double max_=-1., bool log_=false, std::string dataset_="CMS Preliminary, H#rightarrow#tau#tau, 4.9 fb^{-1} at 7 TeV, 19.4 fb^{-1} at 8 TeV", std::string xaxis_="m_{H} [GeV]", std::string yaxis_="best fit for #sigma/#sigma_{SM}", bool mssm_=false)
{
TFile* file = TFile::Open(filename);
// retrieve TGraphs from file
TGraph* expected = (TGraph*)file->Get(std::string(channel).append("/expected").c_str());
TGraphAsymmErrors* innerBand = (TGraphAsymmErrors*)file->Get(std::string(channel).append("/innerBand").c_str());
// set up styles
SetStyle();
// create the unit line
TGraph* unit = 0;
if(!mssm_){
unit = new TGraph();
for(int imass=0, ipoint=0; imass<expected->GetN(); ++imass){
unit->SetPoint(ipoint, expected->GetX()[imass], 1.); ++ipoint;
}
}
// set proper maximum
float max = maximum(expected, max_);
// do the plotting
TCanvas canv = TCanvas("canv", "Limits", 600, 600);
plottingLimit(canv, innerBand, 0, expected, 0, unit, xaxis_, yaxis_, min_, max, log_, "BESTFIT", "", mssm_);
// setup CMS Preliminary
CMSPrelim(dataset_.c_str(), "", 0.145, 0.835);
// write results to files
canv.Print(std::string(channel).append("_").append("bestfit").append(".png").c_str());
canv.Print(std::string(channel).append("_").append("bestfit").append(".pdf").c_str());
canv.Print(std::string(channel).append("_").append("bestfit").append(".eps").c_str());
return;
}
double get_correctionFactorbb(){
double xx[5] = {39, 62.4, 200, 2760, 5000};
double yy[5] = {0.00944, 0.0709, 1.81, 94.92, 180};
TGraph *g = new TGraph(5);
for(int i=0; i<5; i++){
g->SetPoint(i,xx[i],yy[i]);
}
TCanvas *c = new TCanvas("c","c",600,450);
g->SetMarkerStyle(20);
g->Draw("AP");
c->SetLogy();
c->SetLogx();
TF1 *f = new TF1("f","[0]+[1]*x+[2]*x*x",0,300);
//TF1 *f = new TF1("f","[0]*pow(x,[1])",0,5500);
//f->SetParameters(0,-5);
g->Fit(f,"R");
double corr = (f->Eval(193))/(f->Eval(200));
return corr;
}
void GraphCrdcPads(int num=0,int CRDCNum=0){
//This script will look at the Raw root trees
//and plot a single crdc pad distribution
S800Event * event= new S800Event();
rawtree->SetBranchAddress("s800event",&event);
rawtree->GetEntry(num);
// cout<<"Size of samples "<<event->GetS800()->GetCrdc(0)->GetSample().size()<<endl;
// cout<<"Size of data "<<event->GetS800()->GetCrdc(0)->GetData().size()<<endl;
// cout<<"Size of channels "<<event->GetS800()->GetCrdc(0)->GetChannels().size()<<endl;
int size = event->GetS800()->GetCrdc(CRDCNum)->GetChannels().size();
TString install =gSystem->Getenv("R00TLeInstall");
TString calfile = install+"/prm/crdccalNone.dat";
TString pedfile = install+"/prm/crdcpedestals.dat";
S800Calibration calibration;//new S800Settings(install+"/prm/Raw2Cal.dat"));
calibration.ReadCrdcCalibration(calfile,pedfile);
//calibration.SetCrdc(event->GetS800()->GetCrdc(0)->GetChannels(),event->GetS800()->GetCrdc(0)->GetData(),0,0,0);
calibration.CrdcCal(event->GetS800()->GetCrdc(CRDCNum)->GetChannels(),event->GetS800()->GetCrdc(CRDCNum)->GetData(),0);
int size2=calibration.GetCRDCCal().size();
TGraph * graph = new TGraph();
for (int i=0;i<size2;i++){
if (TMath::IsNaN(calibration.GetCRDCCal()[i])){
graph->SetPoint(i,i,0);
}else {
graph->SetPoint(i,i,calibration.GetCRDCCal()[i]);
}
}
graph->Fit("gaus");
graph->Draw("A*");
return;
}
TGraph * GetIntersections(TGraph * a, TGraph * b)
{
TGraph * c = new TGraph();
Int_t i = 0;
// Loop over all points in TGraph a
for(size_t a_i = 0; a_i < a->GetN() - 1; a_i++)
{
// Loop over all points in TGraph b
for(size_t b_i = 0; b_i < b->GetN() - 1; b_i++)
{
// Get the current point and the next point for each of the TGraphs
Double_t ax1, ay1, ax2, ay2 = 0;
Double_t bx1, by1, bx2, by2 = 0;
a->GetPoint(a_i, ax1, ay1);
a->GetPoint(a_i + 1, ax2, ay2);
b->GetPoint(b_i, bx1, by1);
b->GetPoint(b_i + 1, bx2, by2);
// Calculate the intersection between two straight lines, x axis
Double_t x = (bx1 * (by2 * (ax1 - ax2) + ax2 * ay1 - ax1 * ay2) + bx2 * (by1 * (ax2 - ax1) - ax2 * ay1 + ax1 * ay2)) / ((by2 - by1) * (ax1 - ax2) + (bx1 - bx2) * (ay1 - ay2));
// Calculate the intersection between two straight lines, y axis
Double_t y = (bx1 * by2 * (ay1 - ay2) + bx2 * by1 * (ay2 - ay1) + (by1 - by2) * (ax2 * ay1 - ax1 * ay2)) / ((by2 - by1) * (ax1 - ax2) + (bx1 - bx2) * (ay1 - ay2));
// Find the tightest interval along the x-axis defined by the four points
Double_t xrange_min = max(min(ax1, ax2), min(bx1, bx2));
Double_t xrange_max = min(max(ax1, ax2), max(bx1, bx2));
// If points from the two lines overlap, they are trivially intersecting
if ((ax1 == bx1 && ay1 == by1) || (ax2 == bx2 && ay2 == by2))
{
c->SetPoint(i, (ax1 == bx1 && ay1 == by1) ? ax1 : ax2, (ax1 == bx1 && ay1 == by1) ? ay1 : ay2);
i++;
}
// If the intersection between the two lines is within the tight range, add it to the list of intersections.
else if (x > xrange_min && x < xrange_max)
{
c->SetPoint(i, x, y);
i++;
}
}
}
return c;
}
TGraph * makeLog (TGraph * orig)
{
TGraph * dummy = new TGraph (orig->GetN ()) ;
for (int k = 0 ; k < orig->GetN () ; ++k)
{
double x, y ;
orig->GetPoint (k, x, y) ;
dummy->SetPoint (k, x, TMath::Log (y)) ;
}
return dummy ;
}
TGraph* makeBandGraph(TGraph* g1, TGraph* g2) {
int n1 = g1->GetN();
int n2 = g2->GetN();
TGraph* graph = new TGraph(n1+n2);
for(int i=0; i<n1; i++){
double x,y;
g1->GetPoint(i,x,y);
graph->SetPoint(i,x,y);
}
for(int i=0; i<n2; i++){
double x,y;
g2->GetPoint(n2-1-i,x,y);
graph->SetPoint(n1+i,x,y);
}
return graph;
}
//___________________________________________________________
void pdfIO(const Int_t method = 0)
{
// Test interpolator IO response for several data dimensions.
// method = 0 : use COG interpolator
// method = 1 : use INT interpolator
Float_t tw, tr;
TGraph *gw = new TGraph(5);
gw->SetMarkerStyle(24);gw->SetMarkerColor(2);
TGraph *gr = new TGraph(5);
gr->SetMarkerStyle(25);gr->SetMarkerColor(4);
for(int idim = 1; idim<6; idim++){
tw = interpolWrite(method, idim);
gw->SetPoint(idim-1, idim, tw);
tr = interpolRead(idim);
gr->SetPoint(idim-1, idim, tr);
}
gw->Draw("apl");
gr->Draw("pl");
}
void auto_lednic_input_new()
{
gROOT->SetStyle("Plain");
Double_t ZR_min = 0.5;
Double_t ZR_max = 3.0;
const Int_t n = 100;
// lednic_input default values (ZT = 0.01, V = 0.001)
Double_t ZT_min = 0.001;
Double_t ZT_max = 2.0;
Double_t V_min = 0.0001;
Double_t V_max = 0.3;
Double_t x[n], y_min[n], y_max[n], step = (ZR_max - ZR_min)/n;
for (Int_t i = 0; i < n; i++) {
x[i] = ZR_min + i*step;
y_min[i] = CalcLednicR(x[i], ZT_min, V_min);
y_max[i] = CalcLednicR(x[i], ZT_max, V_max);
}
TGraph *g_min = new TGraph(n, x, y_min);
TGraph *g_max = new TGraph(n, x, y_max);
TGraph *gg = new TGraph(2*n);
for (Int_t i = 0; i < n; i++) {
gg->SetPoint(i, x[i], y_max[i]);
gg->SetPoint(n+i, x[n-i-1], y_min[n-i-1]);
}
gg->SetTitle(";r_{0} [fm];R (k = 0.02 GeV/c)");
gg->GetYaxis()->CenterTitle(); gg->SetMinimum(0); gg->SetFillStyle(3003);
gg->Draw("AF");
g_min->Draw("C");
g_max->SetLineStyle(2);
g_max->Draw("C");
TLegend *leg = new TLegend(0.50, 0.70, 0.85, 0.85);
leg->AddEntry(g_min, Form("t_{0} = %.3f fm, v = %.4fc", ZT_min, V_min), "L");
leg->AddEntry(g_max, Form("t_{0} = %.3f fm, v = %.4fc", ZT_max, V_max), "L");
leg->SetFillColor(0);
leg->Draw();
gPad->Print("pp_correl_r0.pdf");
}
