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Tspectrum_01.C~
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#include "TCanvas.h"
#include "TMath.h"
#include "TGraph.h"
#include "TH1.h"
#include "TF1.h"
#include "TRandom.h"
#include "TSpectrum.h"
#include "TVirtualFitter.h"
#include "unistd.h"
#include "TNamed.h"
#include "TAttLine.h"
#include "TAttFill.h"
#include "TAttMarker.h"
#include "TVectorFfwd.h"
#include "TVectorDfwd.h"
Int_t npeaks = 3;
Double_t fpeaks(Double_t *x, Double_t *par) {
Double_t result = par[0] + par[1]*x[0];
for (Int_t p=0;p<npeaks;p++) {
Double_t norm = par[3*p+2];
Double_t mean = par[3*p+3];
Double_t sigma = par[3*p+4];
result += norm*TMath::Gaus(x[0],mean,sigma);
}
return result;
}
void Tspectrum_01()
{
Double_t StdDev;
Double_t Mean;
TString index_s;
TString index_r;
TString filename1 ="~/lmartin/agdaq_laser/ana/output02317.root";
TString object = "h_pad_amp_per_row_cut_col";
TFile *f = new TFile(filename1);
TCanvas *c2 = new TCanvas("c2","A Graph ",200,10,700,500);
TH1D* hdummy= new TH1D ("hdummy", "peaks graph", 1, 0., 576.);
hdummy ->SetStats(kFALSE); //gets rid of the box
hdummy ->Draw();
hdummy ->GetYaxis() ->SetRangeUser(0.,30000.);
double maxpeak=0.;
c2->SetFillColor(kGray);
c2->SetGrid();
for(Int_t i=4; i<18; i++){
index_r.Form("%i",i);
// TString filename = object+index_r;
//filename = TString::Format("%s%02i",object.Data(),i);
// filename = TString::Format("h_pad_amp_per_row_cut_col%02i",i);
TString filename = object+ TString::Format("%02i",i);
TCanvas *c1 = new TCanvas("c1"+index_r,"Profile histogram example",1200,1000);
c1 ->Draw();
TH2D *hfix = (TH2D*) f->FindObjectAny(filename);
cout<<filename<<endl;
Int_t NX = hfix-> GetNbinsX();
cout << "number of bins " << NX <<endl;
vector<double> x, y;
//hfix->GetXaxis()->SetRangeUser(0,400);
for (Int_t r=0; r < NX ;r++){
index_s.Form("%i",r);
TH1D *py = hfix->ProjectionY("py"+index_s+"col"+index_r,r,r,"d");
py ->SetFillColor(kBlue-2);
StdDev = py ->GetStdDev();
Mean = py ->GetMean();
if(StdDev < 500 && StdDev !=0 && py ->GetEntries()> 50 ){
//Use TSpectrum to find the peak candidates
x.push_back(r);
y.push_back(Mean);
//printf( " %f %f \n" , x.back(), y.back());
TSpectrum *s = new TSpectrum(2);
Int_t nfound = s->Search(py,20,"",0.1);
cout << "Found "<< nfound << " candidate peaks to fit." << endl;
Double_t *xpeaks = s->GetPositionX();
Double_t *ypeaks = s->GetPositionY();
//cout << "xpeaks " << xpeaks <<endl;
cout << "Now fitting: Be patient.\n";
TF1 *f1 = new TF1("f1",fpeaks,0,1000,2+3*nfound);
Double_t par[2000];
par[0] = 0.1;
par[1] = 1.;
for (int p=0;p<nfound;p++) {
Double_t xp = xpeaks[p];
Double_t yp = ypeaks[p];
par[3*p+2] = yp;
par[3*p+3] = xp;
par[3*p+4] = 50;
}
// TVirtualFitter::Fitter(hfix,10+3*nfound);
f1->SetParameters(par);
f1->FixParameter(1,0);
//cout << "parameters " << f1->GetParameter(0) << ", " << f1->GetParameter(1) << ", " << f1->GetParameter(2) << ", " << f1->GetParameter(3) << ", " << f1->GetParameter(4) << endl;
f1->SetNpx(1000);
py ->Draw();
py->Fit("f1");
cout << "Now fitting: Be patient.\n";
// cout<<index_s<<endl;
//cout<<StdDev<<endl;
c1 ->Update();
// sleep(1);
} else if(py ->GetEntries()>1000 && StdDev != 0){
//cout << r << " : StdDev = " << StdDev << " py ->GetEntries() = " << py ->GetEntries() << endl;
py ->Draw();
c1 ->Update();
//sleep(10);
}
}
// TH1D* pad_peak_per_row;
// pad_peak_per_row = new TH1D();
// pad_peak_per_row -> Fill (x[n],y[n]);
//new TCanvas;
// TH1* h1 = new TH1D("h1", "peaks", 100, 0.0, 4.0);
//h1 ->Fill(x.data(),y.data());
// TCanvas *c2 = new TCanvas("c2","A Graph ",200,10,700,500);
//c2->SetFillColor(42);
//c2->SetGrid();
TGraph *gr = new TGraph(x.size(),x.data(),y.data());
gr ->SetName("col" +index_r);
gr->SetLineColor(i-10);
gr->SetLineWidth(1);
gr->SetMarkerColor(i-10);
gr->SetMarkerStyle(21);
gr->SetTitle("col" +index_r);
gr->GetXaxis()->SetTitle("pad rows");
gr->GetYaxis()->SetTitle("amp");
//maxpeak=maxpeak>*std::max_element(y.begin(),y.end())?maxpeak:*std::max_element(y.begin(),y.end());
//c2 ->cd();
//gr->Draw("CP SAME");
//c2 ->Update();
TH1* h1 = new TH1D("h1 col " +index_r, "peaks", NX, -0.5, NX-0.5);
// h1 ->Fill(y.data());
auto nPoints = gr->GetN();
//cout << "number of Points is: " << nPoints << endl;
for(int i=0; i < nPoints; ++i) {
double x,y;
gr->GetPoint(i, x, y);
cout << x << y <<endl;
h1->Fill(x,y);
}
// h1 ->Draw();
TSpectrum *s = new TSpectrum(9);
Int_t nfound = s->Search(h1,3,"",0.05);
cout << "Found "<< nfound << " candidate peaks to fit." << endl;
Double_t *x1peaks = s->GetPositionX();
Double_t *y1peaks = s->GetPositionY();
cout << "x1peaks " << x1peaks <<endl;
cout << "Now fitting: Be patient.\n";
TF1 *f2 = new TF1("f2",fpeaks,0,1000,2+3*nfound);
Double_t par[2000];
par[0] = 0.1;
par[1] = 1.;
for (int p=0;p<nfound;p++) {
Double_t x1p = x1peaks[p];
Double_t y1p = y1peaks[p];
par[3*p+2] = y1p;
par[3*p+3] = x1p;
par[3*p+4] = 2;
}
c2 ->cd();
//new TCanvas;
f2->SetParameters(par);
f2->FixParameter(1,0);
f2->FixParameter(0,0);
//cout << "parameters " << f1->GetParameter(0) << ", " << f1->GetParameter(1) << ", " << f1->GetParameter(2) << ", " << f1->GetParameter(3) << ", " << f1->GetParameter(4) << endl;
f2->SetNpx(1000);
//h1 ->Draw ("SAME");
const Int_t n = 22;
Float_t x1[n] = {5, 7.5, 10.5, 13.675, 16.85,23.2, 29.55, 35.9, 42.25, 48.6, 54.95, 61.3, 67.65, 74, 137.5, 201, 264.5, 328, 391.5, 455, 518.5, 582};
//{50, 75, 105, 136.75, 168.5, 232, 295.5, 359, 422.5, 486, 549.5, 613, 676.5, 740, 1375, 2010, 2645, 3280, 3915, 4550, 5185, 5820};
Float_t y1[n] = {256, 748.8, 15264, 26304, 29184, 31040, 28800, 28224, 22400, 19520, 14512, 12704.0127040127, 10672.0533602668, 8992.27876064158, 2527.36871581154, 1540.34193487162, 1162.17224599313, 814.291802203125, 779.437756654327, 500.794452983734, 268.837866099438, 168.17471925432};
//{227.2, 664.56, 13546.8, 23344.8, 25900.8, 27548, 25560, 25048.8, 19880, 17324, 12879.4, 11274.8, 9471.4, 7980.4, 2186.8, 1195.64, 779.58, 471.44, 393.34, 222.94, 106.784, 60.208};
//{64, 187.2, 3816, 6576, 7296, 7760, 7200, 7056, 5600, 4880, 3628, 3176, 2668, 2248, 616, 336.8, 219.6, 132.8, 110.8, 62.8, 30.08, 16.96};
//{112, 327.6, 6678, 11508, 12768, 13580, 12600, 12348, 9800, 8540, 6349, 5558, 4669, 3934, 1078, 589.4, 384.3, 232.4, 193.9, 109.9, 52.64, 29.68};
//{64, 187.2, 3816, 6576, 7296, 7760, 7200, 7056, 5600, 4880, 3628, 3176, 2668, 2248, 616, 336.8, 219.6, 132.8, 110.8, 62.8, 30.08, 16.96};
// { 16.0, 46.8, 954.0, 1644.0, 1824.0, 1940.0, 1800.0, 1764.0, 1400.0, 1220.0, 907.0, 794.000794000794, 667.003335016675, 562.017422540099, 157.960544738221, 96.2713709294761, 72.6357653745703, 50.8932376376953, 48.7148597908954, 31.2996533114834, 16.8023666312149, 10.510919953395};
Float_t ex[n] = {.05,.1,.07,.07,.04,.05,.06,.07,.08,.05};
Float_t ey[n] = {.8,.7,.6,.5,.4,.4,.5,.6,.7,.8};
TGraphErrors *gr1 = new TGraphErrors(n,x1,y1,ex,ey);
gr1->SetTitle("TGraphErrors Example");
gr1->SetMarkerColor(4);
gr1->SetMarkerStyle(21);
gr1->Draw("SAME");
h1 ->Draw((i==0)?"ALP":"LP same");
h1->Fit("f2");
cout << "Now fitting: Be patient.\n";
// cout<<index_s<<endl;
//cout<<StdDev<<endl;
//c3 ->Update();
//h1 ->Fit ("f1","R");
// gr->Draw("CP SAME");
//gr->Draw();
//c2 ->Update();
gr->Draw((i==0)?"ALP":"LP same");
//gr1->Draw((n==0)?"ALP":"LP same");
//gr1->Draw("ALP SAME");
//c2->Update();
// hdummy ->GetYaxis() ->SetRangeUser(0.,maxpeak*1.1);
c2->BuildLegend();
//c1->Update();
// h1 ->Print("all");
}
}