int TwoHistoFit2D(bool global = true) {
// create two histograms
int nbx1 = 50;
int nby1 = 50;
int nbx2 = 50;
int nby2 = 50;
double xlow1 = 0.;
double ylow1 = 0.;
double xup1 = 10.;
double yup1 = 10.;
double xlow2 = 5.;
double ylow2 = 5.;
double xup2 = 20.;
double yup2 = 20.;
TH2D * h1 = new TH2D("h1","core",nbx1,xlow1,xup1,nby1,ylow1,yup1);
TH2D * h2 = new TH2D("h2","tails",nbx2,xlow2,xup2,nby2,ylow2,yup2);
double iniParams[10] = { 100, 6., 2., 7., 3, 100, 12., 3., 11., 2. };
// create fit function
TF2 * func = new TF2("func",my2Dfunc,xlow2,xup2,ylow2,yup2, 10);
func->SetParameters(iniParams);
// fill Histos
int n1 = 50000;
int n2 = 50000;
// h1->FillRandom("func", n1);
//h2->FillRandom("func",n2);
FillHisto(h1,n1,iniParams);
FillHisto(h2,n2,iniParams);
// scale histograms to same heights (for fitting)
double dx1 = (xup1-xlow1)/double(nbx1);
double dy1 = (yup1-ylow1)/double(nby1);
double dx2 = (xup2-xlow2)/double(nbx2);
double dy2 = (yup2-ylow2)/double(nby2);
// h1->Sumw2();
// h1->Scale( 1.0 / ( n1 * dx1 * dy1 ) );
// scale histo 2 to scale of 1
h2->Sumw2();
h2->Scale( ( double(n1) * dx1 * dy1 ) / ( double(n2) * dx2 * dy2 ) );
if (global) {
// fill data structure for fit (coordinates + values + errors)
std::cout << "Do global fit" << std::endl;
// fit now all the function together
// fill data structure for fit (coordinates + values + errors)
TAxis *xaxis1 = h1->GetXaxis();
TAxis *yaxis1 = h1->GetYaxis();
TAxis *xaxis2 = h2->GetXaxis();
TAxis *yaxis2 = h2->GetYaxis();
int nbinX1 = h1->GetNbinsX();
int nbinY1 = h1->GetNbinsY();
int nbinX2 = h2->GetNbinsX();
int nbinY2 = h2->GetNbinsY();
/// reset data structure
coords = std::vector<std::pair<double,double> >();
values = std::vector<double>();
errors = std::vector<double>();
for (int ix = 1; ix <= nbinX1; ++ix) {
for (int iy = 1; iy <= nbinY1; ++iy) {
if ( h1->GetBinContent(ix,iy) > 0 ) {
coords.push_back( std::make_pair(xaxis1->GetBinCenter(ix), yaxis1->GetBinCenter(iy) ) );
values.push_back( h1->GetBinContent(ix,iy) );
errors.push_back( h1->GetBinError(ix,iy) );
}
}
}
for (int ix = 1; ix <= nbinX2; ++ix) {
for (int iy = 1; iy <= nbinY2; ++iy) {
if ( h2->GetBinContent(ix,iy) > 0 ) {
coords.push_back( std::make_pair(xaxis2->GetBinCenter(ix), yaxis2->GetBinCenter(iy) ) );
values.push_back( h2->GetBinContent(ix,iy) );
errors.push_back( h2->GetBinError(ix,iy) );
}
}
}
TVirtualFitter::SetDefaultFitter("Minuit");
TVirtualFitter * minuit = TVirtualFitter::Fitter(0,10);
for (int i = 0; i < 10; ++i) {
minuit->SetParameter(i, func->GetParName(i), func->GetParameter(i), 0.01, 0,0);
}
minuit->SetFCN(myFcn);
double arglist[100];
arglist[0] = 0;
// set print level
minuit->ExecuteCommand("SET PRINT",arglist,2);
// minimize
arglist[0] = 5000; // number of function calls
arglist[1] = 0.01; // tolerance
minuit->ExecuteCommand("MIGRAD",arglist,2);
//get result
double minParams[10];
double parErrors[10];
for (int i = 0; i < 10; ++i) {
minParams[i] = minuit->GetParameter(i);
parErrors[i] = minuit->GetParError(i);
}
double chi2, edm, errdef;
int nvpar, nparx;
minuit->GetStats(chi2,edm,errdef,nvpar,nparx);
func->SetParameters(minParams);
func->SetParErrors(parErrors);
func->SetChisquare(chi2);
int ndf = coords.size()-nvpar;
func->SetNDF(ndf);
std::cout << "Chi2 Fit = " << chi2 << " ndf = " << ndf << " " << func->GetNDF() << std::endl;
// add to list of functions
h1->GetListOfFunctions()->Add(func);
h2->GetListOfFunctions()->Add(func);
}
else {
// fit independently
h1->Fit(func);
h2->Fit(func);
}
// Create a new canvas.
TCanvas * c1 = new TCanvas("c1","Two HIstogram Fit example",100,10,900,800);
c1->Divide(2,2);
gStyle->SetOptFit();
gStyle->SetStatY(0.6);
c1->cd(1);
h1->Draw();
func->SetRange(xlow1,ylow1,xup1,yup1);
func->DrawCopy("cont1 same");
c1->cd(2);
h1->Draw("lego");
func->DrawCopy("surf1 same");
c1->cd(3);
func->SetRange(xlow2,ylow2,xup2,yup2);
h2->Draw();
func->DrawCopy("cont1 same");
c1->cd(4);
h2->Draw("lego");
gPad->SetLogz();
func->Draw("surf1 same");
return 0;
}
void makegraph_xyhits_mchamp1000(){
//bool save_plots = false;
bool save_plots = true;
TCanvas* canvas = new TCanvas("c1","c1",10,10,700,550);
//canvas_style(canvas);
//TH2* h1=new TH2F("h1","",2000,0,2000,2000,-1000,1000);
TH2* h1=new TH2F("h1","",1000,-1000,0,1000,0,1000);
h1->SetStats(kFALSE);
h1->SetTitle(";x [cm];y [cm]");
//h2_style(h1,3,1,1,1001,50,-1111.,-1111.,510,510,20,1,1.4,0);
const Int_t n_hits = 20;
Float_t x[n_hits] = {-522.992,
-524.292,
-525.592,
-526.892,
-606.525,
-607.825,
-609.124,
-610.424,
-630.144,
-631.444,
-632.744,
-634.044,
-741.681,
-743.086,
-744.378,
-745.665,
-765.758,
-767.126,
-768.413,
-769.755};
Float_t y[n_hits] = {82.024,
82.388,
82.661,
82.971,
101.400,
101.678,
101.929,
102.318,
106.826,
107.214,
107.421,
107.769,
132.755,
132.924,
133.286,
133.657,
138.406,
138.637,
139.007,
139.285};
graph = new TGraph(n_hits, x, y);
//gr_style(graph,1,1,1,1001,50,-1111,-1111,510,510,20,1,1.3,1);
graph->SetMarkerStyle(20);
graph->SetMarkerSize(1);
graph->SetMarkerColor(1);
graph->SetTitle(";x [cm];y [cm]");
//graph->GetYaxis()->SetRangeUser(0,20);
//Fit a circle to the graph points
TVirtualFitter::SetDefaultFitter("Minuit"); //default is Minuit
TVirtualFitter *fitter = TVirtualFitter::Fitter(0, 3);
Int_t a,c;
Double_t b,f,par;
fitter->SetFCN(myfcn);
fitter->SetParameter(0, "x0", 0, 0.1, -1000, 1000);
fitter->SetParameter(1, "y0", 1000, 0.1, 0, 2000);
fitter->SetParameter(2, "R", 1000, 0.1, 0, 1000);
Double_t arglist[1] = {0};
fitter->ExecuteCommand("MIGRAD", arglist, 0);
//Draw the circle on top of the points
TArc *arc = new TArc(fitter->GetParameter(0),
fitter->GetParameter(1),fitter->GetParameter(2));
arc->SetLineColor(kRed);
arc->SetLineWidth(4);
Leg1 = new TLegend(0.45,0.75,0.75,0.85);
//Leg1->AddEntry(graph_noChaCut,"Average Before TS","p");
Leg1->AddEntry(graph,"After TS","p");
//Leg1->AddEntry(graph_predicted,"Predicted After TS","p");
Leg1->SetBorderSize(0);
Leg1->SetTextSize(0.04);
Leg1->SetFillColor(0);
//TPaveLabel *text1 = new TPaveLabel(.17,.85,.37,.89,"CMS Preliminary #sqrt{s}=8 TeV","NDC");
//TPaveLabel *text1 = new TPaveLabel(.17,.85,.37,.89,"CMS Preliminary #sqrt{s}=8 TeV 3.4 fb^{-1}","NDC");
//TPaveLabel *text1 = new TPaveLabel(.17,.85,.37,.89,"CMS Preliminary #sqrt{s}=8 TeV 4.4 fb^{-1}","NDC");
TPaveLabel *text1 = new TPaveLabel(.17,.85,.37,.89,"CMS Preliminary #sqrt{s}=8 TeV","NDC");
text1->SetBorderSize(0);
text1->SetTextSize(0.7);
text1->SetFillColor(0);
TPaveLabel *text2 = new TPaveLabel(.17,.85,.37,.89,"1000 GeV H++, Event 58654","NDC");
text2->SetBorderSize(0);
text2->SetTextSize(0.7);
text2->SetFillColor(0);
TPaveText* text1a = new TPaveText(-500,500,-300,700);
text1a->SetBorderSize(0);
text1a->SetTextSize(0.05);
text1a->SetFillColor(0);
double p0 = fitter->GetParameter(0);
double p1 = fitter->GetParameter(1);
double p2 = fitter->GetParameter(2);
double e0 = fitter->GetParError(0);
double e1 = fitter->GetParError(1);
double e2 = fitter->GetParError(2);
char p0name[50], p1name[50], p2name[50];
sprintf(p0name,"x0 = %.2f #pm %.2f",p0,e0);
sprintf(p1name,"y0 = %.2f #pm %.2f",p1,e1);
sprintf(p2name,"R = %.2f #pm %.2f",p2,e2);
text1a->AddText(p0name);
text1a->AddText(p1name);
text1a->AddText(p2name);
canvas->cd();
h1->Draw();
arc->Draw("same");
graph->Draw("Psame");
//text1->Draw();
text1a->Draw();
text2->Draw();
//Leg1->Draw();
if(save_plots) canvas->SaveAs("../plots/hits_xy_mchamp1000.eps");
//return 0;
}
