本文整理汇总了C++中TF1::GetMaximumX方法的典型用法代码示例。如果您正苦于以下问题：C++ TF1::GetMaximumX方法的具体用法？C++ TF1::GetMaximumX怎么用？C++ TF1::GetMaximumX使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TF1的用法示例。
在下文中一共展示了TF1::GetMaximumX方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: shTest
void shTest(){
Double_t par[] = {0.3164, 3., 1.5}; // guesses
Double_t points(24);
TF1 * sT = new TF1("sT","0.3164*pow(x,4)*exp(-x*1.5)",0., points);
sT->Draw();
Double_t shapeInt = sT->Integral(0., points);
Double_t shapeMax = sT->GetMaximum(0.,points);
Double_t shapePeak= sT->GetMaximumX(0.,points);
Double_t shapeRMS = sqrt(sT->Moment(2,0.,points)-sT->Moment(1,0.,points)*sT->Moment(1,0.,points));
cout<<"SHAPE Peak = "<<shapePeak<<" Max = "<<shapeMax<<" RMS = "<<shapeRMS<<" Integral = "<<shapeInt<<endl;
// return par[0]*pow(x1,4.)*(exp(-x1*16./fN)); // fN is set to (float)NSAMPLES
}示例2: GetFWHM
void GetFWHM(TF1* floo, double& mean, double& fwhm) {
TF1* fgt = (TF1*) gROOT->FindObject("fgt");
if (fgt != 0) delete fgt;
fgt = new TF1("fgt", gaustail, 0, 6000, 5);
for (int i=0;i<5;i++)
fgt->SetParameter(i,floo->GetParameter(i));
double mean = fgt->GetMaximumX();
double max = fgt->GetMaximum();
double left = fgt->GetX(max/2.,0,mean);
double right = fgt->GetX(max/2.,mean,6000);
fwhm = right - left;
cout << "Found " << mean << " " << fwhm << endl;
}示例3: AngOptimize
int AngOptimize()
{
ifstream infile("angSNR.dat");
ofstream outfile("OptAng.dat",ios::app);
istringstream iss;
char line[1000];
cout<<"aaaaaaaa"<<endl;
const int nene=21;
const int nep = 28;
double epn[nene][nep];
double sigN[nene][nep];
double bckN[nene][nep];
double snr[nene][nep];
int iene=-1;
int iep=-1;
double enes[nene];
double opteps[nene];
char title[nene][1000];
TF1 *fit = new TF1("fit","[0]*(x-[2])+[1]/(x-[2])+[3]",178,179.6);
fit->SetParameter(0,1.5);
fit->SetParameter(1,1);
fit->SetParameter(2,180);
fit->SetParLimits(2,180,180)
fit->SetParameter(3,40);
bool start=0;
if (!infile.is_open()) return -1;
while (!infile.eof()){
//cout<<"b"<<endl;
infile.getline(line,1000);
if (line[0]!='K')
{
if (!start) continue;
if (line[0]=='#' || line[0]==' ') continue;
}
else {
iep=-1; start=1;
iene++;
if (iene>=21) break;
string tit;
iss.clear();
iss.str(line);
iss >> tit;
std::cout<<tit<<endl;
sprintf(title[iene],"%s",tit.c_str());
continue;
}
iep++;
//cout<<line<<endl;
iss.clear();
iss.str(line);
double ratio,signal,background;
iss >> ratio >> signal >> background; // 3 sigma
//iss >> signal >> background; // 5 sigma
epn[iene][iep] = ratio;
sigN[iene][iep] = signal;
bckN[iene][iep] = background;
if (sigN[iene][iep]==0) snr[iene][iep] = 0;
else snr[iene][iep] = sigN[iene][iep]/sqrt(sigN[iene][iep]+bckN[iene][iep]);
//cout<< epn[iene][i]<<sigN[iene][i]<<bckN[iene][i]<<endl;
}
for (iene=0;iene<nene;iene++){
TGraph *graph = new TGraph(nep,epn[iene],snr[iene]);
graph->SetTitle(title[iene]);
graph->SetMarkerStyle(25);
graph->GetYaxis()->SetTitle("S/#sqrt{S+N}");
graph->GetXaxis()->SetTitle("#theta");
TCanvas *ca1 = new TCanvas(title[iene], title[iene]);
graph->Draw("AP");
//graph->Fit("pol4","","",178,179.9);
////////TF1 *fpol2 = graph->GetFunction("pol2");
////////fit->SetParameter(0,fpol2->GetParameter(0));
////////fit->SetParameter(1,fpol2->GetParameter(1));
////////fit->SetParameter(2,fpol2->GetParameter(2));
//graph->Fit(fit,"","",178,179.6);
graph->Fit(fit,"","",172.0+iene*6.0/21.0,179.9);
double optep = fit->GetMaximumX(176,179.6);
outfile<<"Optmized theta at "<< title[iene] << " is "<<optep<<std::endl;
enes[iene] = atof(&title[iene][3])/10000.;
opteps[iene] = optep;
char ofname[1000];
sprintf(ofname,"output/Angopt_%s.pdf",title[iene]);
ca1->Print(ofname);
}
TGraph* gep = new TGraph(iene,enes,opteps);
gep->SetTitle("Optimized #theta");
gep->SetMarkerStyle(25);
gep->GetYaxis()->SetTitle("S/#sqrt{S+N}");
gep->GetXaxis()->SetTitle("#theta");
TCanvas *ca1 = new TCanvas("gep","Optimized #theta");
gep->Draw("AP");
gep->Fit("pol1");
ca1->Print("output/Angopt.pdf");
double c0 = gep->GetFunction("pol1")->GetParameter(0);
//.........这里部分代码省略.........
示例4: dumpProfile
void dumpProfile() {
std::string fileName_ = "Profile_SM10.root";
TFile *shapeFile_ = TFile::Open(fileName_.c_str(),"old");
TProfile* PROF_704 = (TProfile*) shapeFile_->Get("SHAPE_XTAL_704");
ofstream out;
out.open("dat.txt");
int nBinsHisto_ = 250;
std::vector<double> shapeArray(nBinsHisto_,0.0);
double max = -999;
int imax = 0;
for(int ibin=0; ibin < nBinsHisto_; ++ibin)
{
out << "shapeArray[" << ibin << "] = " << PROF_704->GetBinContent(ibin+1) << " ; \n";
shapeArray[ibin] = PROF_704->GetBinContent(ibin);
std::cout << "Original shape, ns = " << ibin << " shape = " << shapeArray[ibin] << std::endl;
if ( shapeArray[ibin] > max ) {
max = shapeArray[ibin];
imax = ibin;
}
}//loop
out.close();
double xMinHisto_ = -1.;
double xMaxHisto_ = 9.;
double binw = (xMaxHisto_ - xMinHisto_)/(shapeArray.size());
int nbins = shapeArray.size()/10;
float low = xMinHisto_+(double)(imax-nbins/2+0.5)*binw;
float up = xMinHisto_+(double)(imax+nbins/2+0.5)*binw;
double* x = new double[nbins];
double* y = new double[nbins];
for (int i = 0; i < nbins; i++) {
x[i] = xMinHisto_ + (double)(imax - nbins/2 + i + 0.5)*binw;
y[i] = shapeArray[imax - nbins/2 + i];
std::cout << " x,y = " << x[i] << " " << y[i] << " " << (double)(imax - nbins/2 + i + 0.5) << std::endl;
}
TGraph* graph = new TGraph(nbins, x, y);
graph->Fit("pol3", "V");//"Q 0");
TF1* fFit = graph->GetFunction("pol3");
double tMax = fFit->GetMaximumX();
std:;cout << "Maxiumum = " << tMax << std::endl;
gStyle->SetOptFit(1111);
TCanvas *MyC = new TCanvas("MyC","Test canvas",1);
MyC->Divide(2,1);
MyC->cd(1);
PROF_704->Draw();
MyC->cd(2);
fFit->Draw();
MyC->SaveAs("PROF_704.jpg");
}示例5: fitTF1
void fitTF1(TCanvas *canvas, TH1F h, double XMIN_, double XMAX_, double dX_, double params[], Color_t LC_=kBlack) { //double& FWHM_, double& x0_, double& x1_, double& x2_, double& y0_, double& y1_, double& INT_, double& YIELD_) {
//TCanvas* fitTF1(TH1F h, double HSCALE_, double XMIN_, double XMAX_) {
//TF1* fitTF1(TH1F h, double HSCALE_, double XMIN_, double XMAX_) {
gROOT->ForceStyle();
RooMsgService::instance().setSilentMode(kTRUE);
for(int i=0;i<2;i++) RooMsgService::instance().setStreamStatus(i,kFALSE);
//TCanvas *canvas = new TCanvas(TString::Format("canvas_%s",h.GetName()),TString::Format("canvas_%s",h.GetName()),1800,1200);
RooDataHist *RooHistFit = 0;
RooAddPdf *model = 0;
RooWorkspace w = RooWorkspace("w","workspace");
RooRealVar x("mbbReg","mbbReg",XMIN_,XMAX_);
RooRealVar kJES("CMS_scale_j","CMS_scale_j",1,0.9,1.1);
RooRealVar kJER("CMS_res_j","CMS_res_j",1,0.8,1.2);
kJES.setConstant(kTRUE);
kJER.setConstant(kTRUE);
TString hname = h.GetName();
RooHistFit = new RooDataHist("fit_"+hname,"fit_"+hname,x,&h);
RooRealVar YieldVBF = RooRealVar("yield_"+hname,"yield_"+hname,h.Integral());
RooRealVar m("mean_"+hname,"mean_"+hname,125,100,150);
RooRealVar s("sigma_"+hname,"sigma_"+hname,12,3,30);
RooFormulaVar mShift("mShift_"+hname,"@0*@1",RooArgList(m,kJES));
RooFormulaVar sShift("sShift_"+hname,"@0*@1",RooArgList(m,kJER));
RooRealVar a("alpha_"+hname,"alpha_"+hname,1,-10,10);
RooRealVar n("exp_"+hname,"exp_"+hname,1,0,100);
RooRealVar b0("b0_"+hname,"b0_"+hname,0.5,0.,1.);
RooRealVar b1("b1_"+hname,"b1_"+hname,0.5,0.,1.);
RooRealVar b2("b2_"+hname,"b2_"+hname,0.5,0.,1.);
RooRealVar b3("b3_"+hname,"b3_"+hname,0.5,0.,1.);
RooBernstein bkg("signal_bkg_"+hname,"signal_bkg_"+hname,x,RooArgSet(b0,b1,b2));
RooRealVar fsig("fsig_"+hname,"fsig_"+hname,0.7,0.0,1.0);
RooCBShape sig("signal_gauss_"+hname,"signal_gauss_"+hname,x,mShift,sShift,a,n);
model = new RooAddPdf("signal_model_"+hname,"signal_model_"+hname,RooArgList(sig,bkg),fsig);
//RooFitResult *res = model->fitTo(*RooHistFit,RooFit::Save(),RooFit::SumW2Error(kFALSE),"q");
model->fitTo(*RooHistFit,RooFit::Save(),RooFit::SumW2Error(kFALSE),"q");
//res->Print();
//model->Print();
canvas->cd();
canvas->SetTopMargin(0.1);
RooPlot *frame = x.frame();
// no scale
RooHistFit->plotOn(frame);
model->plotOn(frame,RooFit::LineColor(LC_),RooFit::LineWidth(2));//,RooFit::LineStyle(kDotted));
model->plotOn(frame,RooFit::Components(bkg),RooFit::LineColor(LC_),RooFit::LineWidth(2),RooFit::LineStyle(kDashed));
// with scale
// RooHistFit->plotOn(frame,RooFit::Normalization(HSCALE_,RooAbsReal::NumEvent));
// model->plotOn(frame,RooFit::Normalization(HSCALE_,RooAbsReal::NumEvent),RooFit::LineWidth(1));
// model->plotOn(frame,RooFit::Components(bkg),RooFit::LineColor(kBlue),RooFit::LineWidth(1),RooFit::LineStyle(kDashed),RooFit::Normalization(HSCALE_,RooAbsReal::NumEvent));
frame->GetXaxis()->SetLimits(50,200);
frame->GetXaxis()->SetNdivisions(505);
frame->GetXaxis()->SetTitle("M_{b#bar{b}} (GeV)");
frame->GetYaxis()->SetTitle("Events");
frame->Draw();
h.SetFillColor(kGray);
h.Draw("hist,same");
frame->Draw("same");
gPad->RedrawAxis();
TF1 *tmp = model->asTF(x,fsig,x);
//tmp->Print();
double y0_ = tmp->GetMaximum();
double x0_ = tmp->GetMaximumX();
double x1_ = tmp->GetX(y0_/2.,XMIN_,x0_);
double x2_ = tmp->GetX(y0_/2.,x0_,XMAX_);
double FWHM_ = x2_-x1_;
double INT_ = tmp->Integral(XMIN_,XMAX_);
double YIELD_= YieldVBF.getVal();
double y1_ = dX_*0.5*y0_*(YieldVBF.getVal()/tmp->Integral(XMIN_,XMAX_));
params[0] = x0_;
params[1] = x1_;
params[2] = x2_;
params[3] = y0_;
params[4] = y1_;
params[5] = FWHM_;
params[6] = INT_;
params[7] = YIELD_;
//cout<<"Int = "<<tmp->Integral(XMIN_,XMAX_)<<", Yield = "<<YieldVBF.getVal()<<", y0 = "<<y0_<<", y1 = "<<y1_ <<", x0 = "<< x0_ << ", x1 = "<<x1_<<", x2 = "<<x2_<<", FWHM = "<<FWHM_<<endl;
TLine ln = TLine(x1_,y1_,x2_,y1_);
ln.SetLineColor(kMagenta+3);
ln.SetLineStyle(7);
ln.SetLineWidth(2);
ln.Draw();
//.........这里部分代码省略.........