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#include <iostream> |
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#include <vector> |
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#include <sys/stat.h> |
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#include <fstream> |
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#include <TCut.h> |
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#include <TROOT.h> |
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} |
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vector<float> compute_one_upper_limit(float mceff,float mcefferr, int ibin, string mcjzb, bool doobserved=false) { |
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float sigma95=0.0,sigma95A=0.0; |
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int nuisancemodel=1; |
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dout << "Now calling : CL95(" << luminosity << "," << lumiuncert*luminosity << "," << mceff << "," << mcefferr << "," << Npred[ibin] << "," << Nprederr[ibin] << "," << Nobs[ibin] << "," << false << "," << nuisancemodel<< ") " << endl; |
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vector<float> compute_one_upper_limit(float mceff,float mcefferr, int ibin, string mcjzb, string plotfilename, bool doobserved) { |
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float sigma95=-9.9,sigma95A=-9.9; |
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int nuisancemodel=0; |
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/* |
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USAGE OF ROOSTATS_CL95 |
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" Double_t limit = roostats_cl95(ilum, slum, eff, seff, bck, sbck, n, gauss = false, nuisanceModel, method, plotFileName, seed); \n" |
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" LimitResult expected_limit = roostats_clm(ilum, slum, eff, seff, bck, sbck, ntoys, nuisanceModel, method, seed); \n" |
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" Double_t average_limit = roostats_cla(ilum, slum, eff, seff, bck, sbck, nuisanceModel, method, seed); \n" |
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" \n" |
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" |
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" Double_t obs_limit = limit.GetObservedLimit(); \n" |
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" Double_t exp_limit = limit.GetExpectedLimit(); \n" |
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" Double_t exp_up = limit.GetOneSigmaHighRange(); \n" |
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" Double_t exp_down = limit.GetOneSigmaLowRange(); \n" |
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" Double_t exp_2up = limit.GetTwoSigmaHighRange(); \n" |
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" Double_t exp_2down = limit.GetTwoSigmaLowRange(); \n" |
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*/ |
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if(mceff<=0) { |
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write_warning(__FUNCTION__,"Cannot compute upper limit in this configuration as the efficiency is negative:"); |
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dout << "mc efficiency=" << mceff << " +/- " << mcefferr; |
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vector<float> sigmas; |
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sigmas.push_back(-1); |
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sigmas.push_back(-1); |
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return sigmas; |
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} else { |
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int nlimittoysused=1; |
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if(doobserved) nlimittoysused=nlimittoys; |
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/* dout << "Now calling : CL95(" << luminosity << "," << lumiuncert*luminosity << "," << mceff << "," << mcefferr << "," << Npred[ibin] << "," << Nprederr[ibin] << "," << Nobs[ibin] << "," << false << "," << nuisancemodel<< ") " << endl; |
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sigma95 = CL95(luminosity, lumiuncert*luminosity, mceff, mcefferr, Npred[ibin], Nprederr[ibin], Nobs[ibin], false, nuisancemodel); |
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if(doobserved) { |
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dout << "Now calling : CLA(" << luminosity << "," << lumiuncert*luminosity << "," << mceff << "," << mcefferr << "," << Npred[ibin] << "," << Nprederr[ibin] << "," << nuisancemodel<< ") " << endl; |
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sigma95A = CLA(luminosity, lumiuncert*luminosity, mceff, mcefferr, Npred[ibin], Nprederr[ibin], nuisancemodel); |
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} |
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*/ |
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dout << "Now calling : roostats_limit(" << luminosity << "," << lumiuncert*luminosity << ","<<mceff <<","<<mcefferr<<","<<Npred[ibin]<<","<<Nprederr[ibin] << ",n=" << nlimittoysused << ",gauss=" << false << ", nuisanceModel="<<nuisancemodel<<",method="<<limitmethod<<",plotfilename="<<plotfilename<<",seed=1) " << endl; |
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LimitResult limit = roostats_limit(luminosity,lumiuncert*luminosity,mceff,mcefferr,Npred[ibin],Nprederr[ibin],nlimittoysused,false,nuisancemodel,limitmethod,plotfilename,1); |
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vector<float> sigmas; |
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sigmas.push_back(limit.GetExpectedLimit());//expected |
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sigmas.push_back(limit.GetObservedLimit());//observed |
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//up to here for backward compatibility |
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sigmas.push_back(limit.GetOneSigmaHighRange());//expected, up |
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sigmas.push_back(limit.GetTwoSigmaHighRange());//expected, 2 up |
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sigmas.push_back(limit.GetOneSigmaLowRange());//expected, down |
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sigmas.push_back(limit.GetTwoSigmaLowRange());//expected, 2 down |
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// if(doobserved) { |
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// dout << "Now calling : CLA(" << luminosity << "," << lumiuncert*luminosity << "," << mceff << "," << mcefferr << "," << Npred[ibin] << "," << Nprederr[ibin] << "," << nuisancemodel<< ") " << endl; |
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// sigma95A = CLA(luminosity, lumiuncert*luminosity, mceff, mcefferr, Npred[ibin], Nprederr[ibin], nuisancemodel); |
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// } |
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/* vector<float> sigmas; |
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sigmas.push_back(sigma95); |
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sigmas.push_back(sigma95A); |
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sigmas.push_back(sigma95A);*/ |
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return sigmas; |
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} |
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write_warning(__FUNCTION__,"STILL MISSING SIGMAS, LIMITS, EVERYTHING ..."); |
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} |
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void compute_upper_limits_from_counting_experiment(vector<vector<float> > uncertainties,vector<float> jzbcuts, string mcjzb, bool doobserved) { |
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float staterr=uncertainties[isample*jzbcuts.size()+ibin][2]; |
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float systerr=uncertainties[isample*jzbcuts.size()+ibin][3]; |
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float toterr =uncertainties[isample*jzbcuts.size()+ibin][4]; |
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float observed,null,result; |
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fill_result_histos(observed, null,null,null,null,null,null,null,mcjzb,JZBcutat,(int)5,result,(signalsamples.FindSample(signalsamples.collection[isample].filename)),signalsamples); |
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observed-=result;//this is the actual excess we see! |
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float expected=observed/luminosity; |
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float observed,observederr,null,result; |
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// fill_result_histos(observed,observederr, null,null,null,null,null,null,null,mcjzb,JZBcutat,14000,(int)5,result,(signalsamples.FindSample(signalsamples.collection[isample].filename)),signalsamples); |
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// observed-=result;//this is the actual excess we see! |
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// float expected=observed/luminosity; |
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string plotfilename=(string)(TString(signalsamples.collection[isample].samplename)+TString("___JZB_geq_")+TString(any2string(JZBcutat))+TString(".png")); |
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dout << "Sample: " << signalsamples.collection[isample].samplename << ", JZB>"<<JZBcutat<< " : " << mceff << " +/- " << staterr << " (stat) +/- " << systerr << " (syst) --> toterr = " << toterr << endl; |
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vector<float> sigmas = compute_one_upper_limit(mceff,toterr,ibin,mcjzb,doobserved); |
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vector<float> sigmas = compute_one_upper_limit(mceff,toterr,ibin,mcjzb,plotfilename,doobserved); |
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if(doobserved) { |
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rows.push_back(any2string(sigmas[0])+";"+any2string(sigmas[1])+";"+"("+any2string(expected)+")"); |
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// rows.push_back(any2string(sigmas[0])+";"+any2string(sigmas[1])+";"+"("+any2string(expected)+")"); |
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rows.push_back(any2string(sigmas[0])+";"+any2string(sigmas[1])+";"+"("+any2string(signalsamples.collection[isample].xs)+")"); |
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vrows.push_back(sigmas[0]); |
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vrows.push_back(sigmas[1]); |
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vrows.push_back(expected); |
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// vrows.push_back(expected); |
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vrows.push_back(signalsamples.collection[isample].xs); |
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} |
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else { |
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rows.push_back(any2string(sigmas[0])+"("+any2string(expected)+")"); |
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// rows.push_back(any2string(sigmas[0])+"("+any2string(expected)+")"); |
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rows.push_back(any2string(sigmas[0])); |
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vrows.push_back(sigmas[0]); |
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vrows.push_back(expected); |
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vrows.push_back(signalsamples.collection[isample].xs); |
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// vrows.push_back(expected); |
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} |
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}//end of bin loop |
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limits.push_back(rows); |
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vlimits.push_back(vrows); |
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}//end of sample loop |
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dout << endl << endl << "PAS table 3: " << endl << endl; |
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dout << endl << endl << endl << "_________________________________________________________________________________________________" << endl << endl; |
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dout << endl << endl << "PAS table 3: (notation: limit [95%CL])" << endl << endl; |
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dout << "\t"; |
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for (int irow=0;irow<jzbcuts.size();irow++) { |
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dout << jzbcuts[irow] << "\t"; |
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dout << endl; |
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for(int irow=0;irow<limits.size();irow++) { |
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for(int ientry=0;ientry<limits[irow].size();ientry++) { |
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dout << limits[irow][ientry] << "\t"; |
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if (limits[irow][ientry]>0) dout << limits[irow][ientry] << "\t"; |
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else dout << " (N/A) \t"; |
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} |
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dout << endl; |
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} |
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if(!doobserved) { |
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dout << endl << endl << "LIMITS: " << endl; |
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dout << "\t"; |
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dout << endl << endl << "LIMITS: (Tex)" << endl; |
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tout << "\\begin{table}[hbtp]" << endl; |
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tout << "\\renewcommand{\arraystretch}{1.3}" << endl; |
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tout << "\\begin{center}" << endl; |
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tout << "\\caption{Observed upper limits on the cross section of different LM benchmark points " << (ConsiderSignalContaminationForLimits?" (accounting for signal contamination)":" (not accounting for signal contamination)") << "}\\label{tab:lmresults}" << endl; |
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tout << "" << endl; |
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tout << "\\begin{tabular}{ | l | "; |
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for (int irow=0;irow<jzbcuts.size();irow++) tout << " l |"; |
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tout << "} " << endl << " \\hline " << endl << "& \t "; |
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for (int irow=0;irow<jzbcuts.size();irow++) { |
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dout << jzbcuts[irow] << "\t"; |
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tout << "JZB $>$ " << jzbcuts[irow] << " GeV & \t "; |
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} |
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dout << endl; |
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tout << " \\\\ \\hline " << endl; |
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for(int irow=0;irow<limits.size();irow++) { |
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dout << limits[irow][0] << "\t"; |
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tout << limits[irow][0] << " \t"; |
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for(int ientry=0;ientry<jzbcuts.size();ientry++) { |
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dout << Round(vlimits[irow][2*ientry] / vlimits[irow][2*ientry+1],3)<< "\t"; |
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if(vlimits[irow][2*ientry]>0) tout << " & " << Round(vlimits[irow][2*ientry],2) << " \t (" << Round(vlimits[irow][2*ientry] / vlimits[irow][2*ientry+1],3)<< "x \\sigma ) \t"; |
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else tout << " & ( N / A ) \t"; |
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// dout << Round(vlimits[irow][2*ientry],3) << " / " << Round(vlimits[irow][2*ientry+1],3)<< "\t"; |
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} |
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dout << endl; |
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tout << " \\\\ \\hline " << endl; |
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} |
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tout << "\\end{tabular}" << endl; |
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tout << " \\end{tabular}"<< endl; |
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tout << "\\end{center}"<< endl; |
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tout << "\\end{table} "<< endl; |
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|
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}//do observed |
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dout << endl << endl << "Final selection efficiencies with total statistical and systematic errors, and corresponding observed and expected upper limits (UL) on ($\\sigma\\times$ BR $\\times$ acceptance) for the LM4 and LM8 scenarios, in the different regions. The last column contains the predicted ($\\sigma \\times $BR$\\times$ acceptance) at NLO obtained from Monte Carlo simulation." << endl; |
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dout << "Scenario \t Efficiency [%] \t Upper limits [pb] \t Prediction [pb]" << endl; |
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dout << "Scenario \t Efficiency [%] \t Upper limits [pb] \t \\sigma [pb]" << endl; |
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for(int icut=0;icut<jzbcuts.size();icut++) { |
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dout << "Region with JZB>" << jzbcuts[icut] << endl; |
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dout << "Region with JZB>" << jzbcuts[icut] << (ConsiderSignalContaminationForLimits?" (accounting for signal contamination)":" (not accounting for signal contamination)") << endl; |
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for(int isample=0;isample<signalsamples.collection.size();isample++) { |
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dout << limits[icut][0] << "\t" << Round(100*uncertainties[isample*jzbcuts.size()+icut][1],1) << "+/-" << Round(100*uncertainties[isample*jzbcuts.size()+icut][2],1) << " (stat) +/- " << Round(100*uncertainties[isample*jzbcuts.size()+icut][3],1) << " (syst) \t" << Round((vlimits[isample][2*icut]),3) << "\t" << Round(vlimits[isample][2*icut+1],3) << endl; |
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dout << limits[isample][0] << "\t" << Round(100*uncertainties[isample*jzbcuts.size()+icut][1],3) << "+/-" << Round(100*uncertainties[isample*jzbcuts.size()+icut][2],3) << " (stat) +/- " << Round(100*uncertainties[isample*jzbcuts.size()+icut][3],3) << " (syst) \t" << Round((vlimits[isample][2*icut]),3) << "\t" << Round(vlimits[isample][2*icut+1],3) << endl; |
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} |
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dout << endl; |
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} |
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write_warning("compute_upper_limits_from_counting_experiment","Still need to update the script"); |
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write_warning(__FUNCTION__,"Still need to update the script"); |
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} |
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void susy_scan_axis_labeling(TH2F *histo) { |
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histo->GetXaxis()->SetTitle("#Chi_{2}^{0}-LSP"); |
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histo->GetXaxis()->CenterTitle(); |
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histo->GetYaxis()->SetTitle("m_{#tilde{q}}"); |
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histo->GetYaxis()->CenterTitle(); |
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} |
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void scan_susy_space(string mcjzb, string datajzb) { |
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TCanvas *c3 = new TCanvas("c3","c3"); |
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< |
vector<float> binning; |
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binning=allsamples.get_optimal_binsize(mcjzb,cutmass&&cutOSSF&&cutnJets,20,50,800); |
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float arrbinning[binning.size()]; |
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for(int i=0;i<binning.size();i++) arrbinning[i]=binning[i]; |
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TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity); |
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puredata->SetMarkerSize(DataMarkerSize); |
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TH1F *allbgs = allsamples.Draw("allbgs", "-"+datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity); |
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TH1F *allbgsb = allsamples.Draw("allbgsb", "-"+datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity); |
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TH1F *allbgsc = allsamples.Draw("allbgsc", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity); |
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< |
allbgs->Add(allbgsb,-1); |
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allbgs->Add(allbgsc); |
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int ndata=puredata->Integral(); |
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ofstream myfile; |
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myfile.open ("susyscan_log.txt"); |
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< |
TFile *susyscanfile = new TFile("/scratch/fronga/SMS/T5z_SqSqToQZQZ_38xFall10.root"); |
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< |
TTree *suevents = (TTree*)susyscanfile->Get("events"); |
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< |
TH2F *exclusionmap = new TH2F("exclusionmap","",20,0,500,20,0,1000); |
| 294 |
< |
TH2F *exclusionmap1s = new TH2F("exclusionmap1s","",20,0,500,20,0,1000); |
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< |
TH2F *exclusionmap2s = new TH2F("exclusionmap2s","",20,0,500,20,0,1000); |
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< |
TH2F *exclusionmap3s = new TH2F("exclusionmap3s","",20,0,500,20,0,1000); |
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< |
|
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susy_scan_axis_labeling(exclusionmap); |
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< |
susy_scan_axis_labeling(exclusionmap1s); |
| 300 |
< |
susy_scan_axis_labeling(exclusionmap2s); |
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susy_scan_axis_labeling(exclusionmap3s); |
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< |
|
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< |
Int_t MyPalette[100]; |
| 304 |
< |
Double_t r[] = {0., 0.0, 1.0, 1.0, 1.0}; |
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< |
Double_t g[] = {0., 0.0, 0.0, 1.0, 1.0}; |
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< |
Double_t b[] = {0., 1.0, 0.0, 0.0, 1.0}; |
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< |
Double_t stop[] = {0., .25, .50, .75, 1.0}; |
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Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 100); |
| 309 |
< |
for (int i=0;i<100;i++) MyPalette[i] = FI+i; |
| 310 |
< |
|
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< |
gStyle->SetPalette(100, MyPalette); |
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< |
|
| 313 |
< |
for(int m23=50;m23<500;m23+=25) { |
| 314 |
< |
for (int m0=(2*(m23-50)+150);m0<=1000;m0+=50) |
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< |
{ |
| 316 |
< |
c3->cd(); |
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< |
stringstream drawcondition; |
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< |
drawcondition << "pfJetGoodNum>=3&&(TMath::Abs(masses[0]-"<<m0<<")<10&&TMath::Abs(masses[2]-masses[3]-"<<m23<<")<10)&&mll>5&&id1==id2"; |
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< |
TH1F *puresignal = new TH1F("puresignal","puresignal",binning.size()-1,arrbinning); |
| 320 |
< |
TH1F *puresignall= new TH1F("puresignall","puresignal",binning.size()-1,arrbinning); |
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< |
stringstream drawvar,drawvar2; |
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< |
drawvar<<mcjzb<<">>puresignal"; |
| 323 |
< |
drawvar2<<"-"<<mcjzb<<">>puresignall"; |
| 324 |
< |
suevents->Draw(drawvar.str().c_str(),drawcondition.str().c_str()); |
| 325 |
< |
suevents->Draw(drawvar2.str().c_str(),drawcondition.str().c_str()); |
| 326 |
< |
if(puresignal->Integral()<60) { |
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< |
delete puresignal; |
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< |
continue; |
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< |
} |
| 330 |
< |
puresignal->Add(puresignall,-1);//we need to correct for the signal contamination - we effectively only see (JZB>0)-(JZB<0) !! |
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< |
puresignal->Scale(ndata/(20*puresignal->Integral()));//normalizing it to 5% of the data |
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< |
stringstream saveas; |
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< |
saveas<<"Model_Scan/m0_"<<m0<<"__m23_"<<m23; |
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< |
dout << "PLEASE KEEP IN MIND THAT SIGNAL CONTAMINATION IS NOT REALLY TAKEN CARE OF YET DUE TO LOW STATISTICS! SHOULD BE SOMETHING LIKE THIS : "<< endl; |
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< |
// TH1F *signalpredlo = allsamples.Draw("signalpredlo", "-"+mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4")); |
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< |
// TH1F *signalpredro = allsamples.Draw("signalpredro", mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4")); |
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< |
// TH1F *puredata = allsamples.Draw("puredata", datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity); |
| 338 |
< |
// signalpred->Add(signalpredlo,-1); |
| 339 |
< |
// signalpred->Add(signalpredro); |
| 340 |
< |
// puresignal->Add(signalpred,-1);//subtracting signal contamination |
| 341 |
< |
//--------------------- |
| 342 |
< |
// dout << "(m0,m23)=("<<m0<<","<<m23<<") contains " << puresignal->Integral() << endl; |
| 343 |
< |
// TH1F *puresignal = allsamples.Draw("puresignal",mcjzb, binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity,allsamples.FindSample("LM4")); |
| 344 |
< |
vector<float> results=establish_upper_limits(puredata,allbgs,puresignal,saveas.str(),myfile); |
| 345 |
< |
if(results.size()==0) { |
| 346 |
< |
delete puresignal; |
| 347 |
< |
continue; |
| 348 |
< |
} |
| 349 |
< |
exclusionmap->Fill(m23,m0,results[0]); |
| 350 |
< |
exclusionmap1s->Fill(m23,m0,results[1]); |
| 351 |
< |
exclusionmap2s->Fill(m23,m0,results[2]); |
| 352 |
< |
exclusionmap3s->Fill(m23,m0,results[3]); |
| 353 |
< |
delete puresignal; |
| 354 |
< |
dout << "(m0,m23)=("<<m0<<","<<m23<<") : 3 sigma at " << results[3] << endl; |
| 355 |
< |
} |
| 356 |
< |
}//end of model scan for loop |
| 357 |
< |
|
| 358 |
< |
dout << "Exclusion Map contains" << exclusionmap->Integral() << " (integral) and entries: " << exclusionmap->GetEntries() << endl; |
| 359 |
< |
c3->cd(); |
| 360 |
< |
exclusionmap->Draw("CONTZ"); |
| 361 |
< |
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_Mean_values"); |
| 362 |
< |
exclusionmap->Draw("COLZ"); |
| 363 |
< |
CompleteSave(c3,"Model_Scan/COL/Model_Scan_Mean_values"); |
| 364 |
< |
|
| 365 |
< |
exclusionmap1s->Draw("CONTZ"); |
| 366 |
< |
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_1sigma_values"); |
| 367 |
< |
exclusionmap1s->Draw("COLZ"); |
| 368 |
< |
CompleteSave(c3,"Model_Scan/COL/Model_Scan_1sigma_values"); |
| 369 |
< |
|
| 370 |
< |
exclusionmap2s->Draw("CONTZ"); |
| 371 |
< |
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_2sigma_values"); |
| 372 |
< |
exclusionmap2s->Draw("COLZ"); |
| 373 |
< |
CompleteSave(c3,"Model_Scan/COL/Model_Scan_2sigma_values"); |
| 374 |
< |
|
| 375 |
< |
exclusionmap3s->Draw("CONTZ"); |
| 376 |
< |
CompleteSave(c3,"Model_Scan/CONT/Model_Scan_3sigma_values"); |
| 377 |
< |
exclusionmap3s->Draw("COLZ"); |
| 378 |
< |
CompleteSave(c3,"Model_Scan/COL/Model_Scan_3sigma_values"); |
| 379 |
< |
|
| 380 |
< |
TFile *exclusion_limits = new TFile("exclusion_limits.root","RECREATE"); |
| 381 |
< |
exclusionmap->Write(); |
| 382 |
< |
exclusionmap1s->Write(); |
| 383 |
< |
exclusionmap2s->Write(); |
| 384 |
< |
exclusionmap3s->Write(); |
| 385 |
< |
exclusion_limits->Close(); |
| 386 |
< |
susyscanfile->Close(); |
| 387 |
< |
|
| 388 |
< |
myfile.close(); |
| 389 |
< |
} |
| 332 |
> |
|
| 333 |
> |
/********************************************************************** new : Limits using SHAPES *********************************** |
| 334 |
|
|
| 335 |
|
|
| 336 |
+ |
SSSSSSSSSSSSSSS hhhhhhh |
| 337 |
+ |
SS:::::::::::::::Sh:::::h |
| 338 |
+ |
S:::::SSSSSS::::::Sh:::::h |
| 339 |
+ |
S:::::S SSSSSSSh:::::h |
| 340 |
+ |
S:::::S h::::h hhhhh aaaaaaaaaaaaa ppppp ppppppppp eeeeeeeeeeee ssssssssss |
| 341 |
+ |
S:::::S h::::hh:::::hhh a::::::::::::a p::::ppp:::::::::p ee::::::::::::ee ss::::::::::s |
| 342 |
+ |
S::::SSSS h::::::::::::::hh aaaaaaaaa:::::ap:::::::::::::::::p e::::::eeeee:::::eess:::::::::::::s |
| 343 |
+ |
SS::::::SSSSS h:::::::hhh::::::h a::::app::::::ppppp::::::pe::::::e e:::::es::::::ssss:::::s |
| 344 |
+ |
SSS::::::::SS h::::::h h::::::h aaaaaaa:::::a p:::::p p:::::pe:::::::eeeee::::::e s:::::s ssssss |
| 345 |
+ |
SSSSSS::::S h:::::h h:::::h aa::::::::::::a p:::::p p:::::pe:::::::::::::::::e s::::::s |
| 346 |
+ |
S:::::S h:::::h h:::::h a::::aaaa::::::a p:::::p p:::::pe::::::eeeeeeeeeee s::::::s |
| 347 |
+ |
S:::::S h:::::h h:::::ha::::a a:::::a p:::::p p::::::pe:::::::e ssssss s:::::s |
| 348 |
+ |
SSSSSSS S:::::S h:::::h h:::::ha::::a a:::::a p:::::ppppp:::::::pe::::::::e s:::::ssss::::::s |
| 349 |
+ |
S::::::SSSSSS:::::S h:::::h h:::::ha:::::aaaa::::::a p::::::::::::::::p e::::::::eeeeeeee s::::::::::::::s |
| 350 |
+ |
S:::::::::::::::SS h:::::h h:::::h a::::::::::aa:::ap::::::::::::::pp ee:::::::::::::e s:::::::::::ss |
| 351 |
+ |
SSSSSSSSSSSSSSS hhhhhhh hhhhhhh aaaaaaaaaa aaaap::::::pppppppp eeeeeeeeeeeeee sssssssssss |
| 352 |
+ |
p:::::p |
| 353 |
+ |
p:::::p |
| 354 |
+ |
p:::::::p |
| 355 |
+ |
p:::::::p |
| 356 |
+ |
p:::::::p |
| 357 |
+ |
ppppppppp |
| 358 |
+ |
|
| 359 |
+ |
|
| 360 |
+ |
*********************************************************************** new : Limits using SHAPES ***********************************/ |
| 361 |
|
|
| 393 |
– |
|
| 394 |
– |
//********************************************************************** new : Limits using SHAPES *********************************** |
| 362 |
|
|
| 363 |
|
void limit_shapes_for_systematic_effect(TFile *limfile, string identifier, string mcjzb, string datajzb, int JES,vector<float> binning, TCanvas *limcan) { |
| 364 |
|
dout << "Creatig shape templates ... "; |
| 365 |
|
if(identifier!="") dout << "for systematic called "<<identifier; |
| 366 |
|
dout << endl; |
| 367 |
|
int dataormc=mcwithsignal;//this is only for tests - for real life you want dataormc=data !!! |
| 368 |
< |
if(dataormc!=data) write_warning("limit_shapes_for_systematic_effect","WATCH OUT! Not using data for limits!!!! this is ok for tests, but not ok for anything official!"); |
| 368 |
> |
if(dataormc!=data) write_warning(__FUNCTION__,"WATCH OUT! Not using data for limits!!!! this is ok for tests, but not ok for anything official!"); |
| 369 |
|
|
| 370 |
|
TCut limitnJetcut; |
| 371 |
|
if(JES==noJES) limitnJetcut=cutnJets; |
| 465 |
|
|
| 466 |
|
ofstream datacard; |
| 467 |
|
ensure_directory_exists(get_directory()+"/limits"); |
| 468 |
< |
datacard.open ((get_directory()+"/limits/susylm4datacard.txt").c_str()); |
| 468 |
> |
datacard.open ((get_directory()+"/limits/susydatacard.txt").c_str()); |
| 469 |
|
datacard << "Writing this to a file.\n"; |
| 470 |
|
datacard << "imax 1\n"; |
| 471 |
|
datacard << "jmax 1\n"; |
| 501 |
|
limit_shapes_for_systematic_effect(limfile,"JESDown",mcjzb,datajzb,JESdown,jzbbins,limcan); |
| 502 |
|
|
| 503 |
|
prepare_datacard(limfile); |
| 537 |
– |
|
| 538 |
– |
write_info("prepare_limits","limitfile.root and datacard.txt have been generated. You can now use them to calculate limits!"); |
| 504 |
|
limfile->Close(); |
| 505 |
+ |
write_info("prepare_limits","limitfile.root and datacard.txt have been generated. You can now use them to calculate limits!"); |
| 506 |
|
|
| 507 |
< |
} |
| 507 |
> |
} |
