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#include <iostream> |
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#include <pair.h> |
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#include <utility> |
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#include "TH1F.h" |
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#include "TObjArray.h" |
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#include "TFractionFitter.h" |
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void load_templates(); |
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void load_ejets_templates(); |
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int do_fit(TH1F * _data); |
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// |
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//_____ Fix bkg2 fraction to qcd_frac _________________________________ |
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// Do not fix if qcd_frac is negative |
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// |
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int do_fit(TH1F * _data, double qcd_frac=-1.0); |
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int generate_toy(int n_sig, int n_phys, int n_qcd); |
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void set_overflow_bins(TH1F * h); |
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void debug_hist(TH1F * h); |
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TH1F * wzjets; |
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TH1F * qcd; |
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// templates for systematics |
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TH1F * ttbar_s; |
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TH1F * wzjets_s; |
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TH1F * qcd_s; |
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int n_bins; |
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TObjArray * mc; |
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} |
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int toyMC::do_fit(TH1F * _data){ |
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int toyMC::do_fit(TH1F * _data, double qcd_frac){ |
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delete fit; |
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fit = new TFractionFitter(_data, mc); // initialise |
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fit->Constrain(1,0.0,1.0); // constrain fraction 1 to be between 0 and 1 |
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fit->Constrain(2,0.0,1.0); |
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//fit->Constrain(3,0.0,1.0); |
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if (qcd_frac<0.0){ |
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fit->Constrain(3,0.0,1.0); |
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} |
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else{ |
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fit->Constrain(3,qcd_frac-0.000001,qcd_frac+0.000001); // constrain fraction 1 to be between 0 and 1 |
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} |
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//fit->Constrain(2,0.1651865,0.1651866); |
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//fit->Constrain(3,0.024999,0.025001); |
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fit->Constrain(3,0.176895306858,0.176895306860); |
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//fit->Constrain(3,0.176895306858,0.176895306860); |
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//fit->Constrain(3,0.37259,0.37261); |
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//fit->Constrain(3,0.036759,0.036761); // mu+jets true |
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//fit->Constrain(3,0.017379,0.017381); // mu+jets ABCD |
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//fit->Constrain(3,0.4422735,0.4422736); |
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// |
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//double qcd_frac = (double)n_gen_bkg2/(double)(n_gen_sig+n_gen_bkg1+n_gen_bkg2); |
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//fit->Constrain(3,qcd_frac-0.000001,qcd_frac+0.000001); // constrain fraction 1 to be between 0 and 1 |
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// |
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fit->SetRangeX(1,n_bins); // use only some bins to fit |
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Int_t status = fit->Fit(); // perform the fit |
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if (status!=0) status = fit->Fit(); |
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} |
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*/ |
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// |
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//_____ generates a pseudoexperiment, given n_events, smears by Poisson _ |
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// |
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int toyMC::generate_toy(int n_sig, int n_bg, int n_qcd){ |
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int n_events=0; |
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delete toy_data; |
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for (int i=0;i<_nbg;i++){ |
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toy_data->Fill(wzjets->GetRandom()); |
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} |
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for (int i=0;i<_nqcd;i++){ |
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toy_data->Fill(qcd->GetRandom()); |
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} |
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toy_error->SetFillColor(44); |
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toy_pull->SetFillColor(44); |
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for (int i=0;i<n_exp;i++){ |
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generate_toy(n_sig,n_bkg1,n_bkg2); |
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double n_bkg2_smeared = n_bkg2; |
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/************ |
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//_____ smear qcd rate due to xsec uncertainty |
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// |
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n_bkg2_smeared = -1.0; |
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while (n_bkg2_smeared < 0.0){ |
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n_bkg2_smeared = _random.Gaus(n_bkg2,n_bkg2); |
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} |
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*************/ |
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generate_toy(n_sig,n_bkg1,n_bkg2_smeared); |
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int _ttbar = n_gen_sig; |
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int status = do_fit(toy_data); |
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//double qcd_rate = 9.5; |
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//double qcd_rate = 16.6; |
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double qcd_rate = 2.4; |
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double qcd_rate_err = 7.1; |
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double qcd_rate_smeared = qcd_rate; |
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/************* |
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//_____ smearing of the ABCD prediction |
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// |
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double qcd_rate_smeared = -1.0; |
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while (qcd_rate_smeared < 0.0){ |
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qcd_rate_smeared = _random.Gaus(qcd_rate,qcd_rate_err); |
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} |
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**************/ |
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double qcd_frac = qcd_rate_smeared/(double)(n_gen_sig+n_gen_bkg1+n_gen_bkg2); |
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int status = do_fit(toy_data, qcd_frac); |
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if (status==0){ |
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Double_t value,error; |
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fit->GetResult(0,value,error); |
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toy_mean->Fit("gaus"); |
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TF1 * _fit = toy_mean->GetFunction("gaus"); |
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result.first = _fit->GetParameter(1); |
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result.second = _fit->GetParameter(2); |
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result.second = _fit->GetParError(1); |
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//result.second = _fit->GetParameter(2); |
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pad->SaveAs("mean.eps"); |
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pad = c->cd(2); |
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toy_error->Draw(); |
