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yangyong |
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//******************************************//
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// author:
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//
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// This function evaluates the effective
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// sigma of a histogram.
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//
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//
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// TODO list:
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//
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//
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//
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// Modified by:
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//
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//******************************************//
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//Double_t effSigma(TH1 * hist)
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void effSigma(TH1 * hist,double res[])
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{
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TAxis *xaxis = hist->GetXaxis();
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Int_t nb = xaxis->GetNbins();
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if(nb < 10) {
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cout << "effsigma: Not a valid histo. nbins = " << nb << endl;
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return ;
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}
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Double_t bwid = xaxis->GetBinWidth(1);
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if(bwid == 0) {
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cout << "effsigma: Not a valid histo. bwid = " << bwid << endl;
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return ;
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}
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Double_t xmin = xaxis->GetXmin();
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Double_t ave = hist->GetMean();
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Double_t rms = hist->GetRMS();
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Double_t total=0.;
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for(Int_t i=0; i<nb+2; i++) {
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total+=hist->GetBinContent(i);
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}
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// if(total < 100.) {
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if(total < 50.) {
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cout << "effsigma: Too few entries " << total << endl;
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return ;
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}
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Int_t ierr=0;
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Int_t ismin=999;
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Double_t rlim=0.683*total;
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Int_t nrms=int(rms/(bwid)); // Set scan size to +/- rms
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if(nrms > nb/10) nrms=nb/10; // Could be tuned...
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Double_t widmin=9999999.;
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// cout<<"iscan: "<< xmin <<" "<< xmax <<" "<< ave <<" "<< rms <<" "<< rlim <<" "<< nrms <<endl;
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int binlow = 1;
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int binhigh = nb;
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int binlow2 = 1;
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int binhigh2 = nb;
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for(Int_t iscan=-nrms;iscan<nrms+1;iscan++) { // Scan window centre
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Int_t ibm=(ave-xmin)/bwid+1+iscan;
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Double_t x=(ibm-0.5)*bwid+xmin;
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Double_t xj=x;
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Double_t xk=x;
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Int_t jbm=ibm;
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Int_t kbm=ibm;
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Double_t bin=hist->GetBinContent(ibm);
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total=bin;
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// cout<<"ibm: "<< iscan <<" "<< ibm <<" "<< xj<<" "<< xk <<" "<<jbm <<" "<<kbm <<endl;
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double mean = bin * x;
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for(Int_t j=1;j<nb;j++){
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if(jbm < nb) {
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jbm++;
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xj+=bwid;
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bin=hist->GetBinContent(jbm);
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total+=bin;
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if(total > rlim) break;
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}
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else ierr=1;
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if(kbm > 0) {
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kbm--;
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xk-=bwid;
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bin=hist->GetBinContent(kbm);
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total+=bin;
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if(total > rlim) break;
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}
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else ierr=1;
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}
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Double_t dxf=(total-rlim)*bwid/bin;
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Double_t wid=(xj-xk+bwid-dxf)*0.5;
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//cout<<"dxf: "<< total <<" "<< rlim <<" "<< bwid <<" "<< bin <<" "<< wid <<" "<< xj<<" "<<xk<<" "<< dxf <<endl;
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if(wid < widmin) {
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widmin=wid;
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ismin=iscan;
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binlow = kbm;
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binhigh = jbm;
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binlow2 = ibm - 2*(ibm - kbm);
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binhigh2 = ibm + 2*(-ibm + jbm);
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}
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// cout<<"widmin: "<< wid<<" "<< widmin <<" "<< ismin <<" "<<ibm <<" "<< jbm<<" "<< kbm <<" "<<x <<" "<< xj <<" "<< xk <<" "<<(ibm-0.5)*bwid+xmin<<" "<<
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//" "<< (jbm-0.5)*bwid+xmin <<" "<<(kbm-0.5)*bwid+xmin <<endl;
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}
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if(ismin == nrms || ismin == -nrms) ierr=3;
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if(ierr != 0) cout << "effsigma: Error of type " << ierr << endl;
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//return widmin;
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double mean = 0;
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double n =0;
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for(int b = binlow ; b<= binhigh; b++){
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if( b<1 || b> nb) continue;
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double x= (b-0.5)*bwid+xmin;
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mean += hist->GetBinContent(b) * x;
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n += hist->GetBinContent(b);
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}
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mean /= n;
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double mean2 = 0;
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double n2 =0;
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for(int b = binlow2 ; b<= binhigh2; b++){
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if( b<1 || b> nb) continue;
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double x= (b-0.5)*bwid+xmin;
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mean2 += hist->GetBinContent(b) * x;
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n2 += hist->GetBinContent(b);
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}
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mean2 /= n2;
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//cout<<widmin <<" "<<mean <<endl;
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res[0] = mean;
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res[1] = mean2;
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res[2] = widmin;
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}
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