| 1 |
dkralph |
1.1 |
#include <iostream>
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| 2 |
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#include <algorithm>
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| 3 |
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#include <iomanip>
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| 4 |
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| 5 |
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#include "RooHistPdf.h"
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| 6 |
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#include "RooGlobalFunc.h"
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| 7 |
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#include "RooPlot.h"
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| 8 |
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#include "RooRealVar.h"
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#include "RooDataHist.h"
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#include "RooGenericPdf.h"
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#include "RooDataSet.h"
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#include "RooAddPdf.h"
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#include "RooFormulaVar.h"
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#include "RooFitResult.h"
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#include "RooCurve.h"
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#include "RooBinning.h"
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#include "RooExponential.h"
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dkralph |
1.2 |
#include "RooExtendPdf.h"
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dkralph |
1.1 |
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#include "TCanvas.h"
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#include "TChain.h"
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#include "TString.h"
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#include "TStyle.h"
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| 24 |
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#include "TH1D.h"
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#include "CPlot.h"
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#include "FOArgs.h"
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| 29 |
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#include "fake_defs.h"
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| 30 |
dkralph |
1.5 |
#include "Various.h"
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| 31 |
dkralph |
1.1 |
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| 32 |
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#ifndef CMSSW_BASE
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#define CMSSW_BASE "../../"
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| 34 |
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#endif
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| 36 |
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using namespace std;
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using namespace RooFit;
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| 39 |
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TCanvas *can;
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| 40 |
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| 41 |
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void makeHTML(FOFlags &ctrl);
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| 42 |
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map<TString,map<TString,TH1D*>* > init_hists(FOFlags &ctrl, TString str="");
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| 43 |
dkralph |
1.6 |
void fillHist(CSample *cs, TString type, TString var, double val, double wgt, double wgt_lo, double wgt_hi);
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| 44 |
dkralph |
1.1 |
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| 45 |
dkralph |
1.2 |
RooFitResult *fitMt(FOFlags &ctrl, TH1D *hmcZ, TH1D *hmcW, TH1D *hSSmet, double &total_mc_scale);
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| 46 |
dkralph |
1.1 |
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| 47 |
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//----------------------------------------------------------------------------------------
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| 48 |
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int main(int argc, char** argv)
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| 49 |
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{
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| 50 |
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double lumi = 1600;
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| 51 |
dkralph |
1.8 |
// UInt_t minRun=999999999,maxRun=0;
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| 52 |
dkralph |
1.6 |
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| 53 |
dkralph |
1.1 |
FOFlags ctrl;
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| 54 |
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parse_foargs( argc, argv, ctrl );
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| 55 |
dkralph |
1.4 |
ctrl.dump();
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| 56 |
dkralph |
1.1 |
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| 57 |
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can = new TCanvas("can","can");
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| 58 |
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| 59 |
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// FR_struct fr = initFRs(ctrl.mufakedir+"/fr.root",ctrl.elefakedir+"/fr.root");
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FR_struct fr = initFRs(ctrl.mufakedir,ctrl.elefakedir);
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| 61 |
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| 62 |
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TString cmsswpath(CMSSW_BASE + TString("/src"));
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| 63 |
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string xspath = (string(cmsswpath)+"/MitPhysics/data/xs.dat");
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| 64 |
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SimpleTable xstab(xspath.c_str());
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| 65 |
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| 66 |
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vector<CSample*> samplev;
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| 67 |
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| 68 |
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ifstream instream;
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instream.open(ctrl.config); assert(instream.is_open());
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TString ntupledir;
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string line;
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| 72 |
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while(getline(instream,line)) {
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if(line[0]=='#') continue;
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| 75 |
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stringstream ss(line);
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| 76 |
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if(line[0]=='^') {
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TString dummy;
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if(TString(line).Contains("^ntupdir")) ss >> dummy >> ntupledir;
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// if(TString(line).Contains("^skim")) ss >> dummy >> ntupledir;
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continue;
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}
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| 82 |
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| 83 |
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if(line[0]=='$') {
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samplev.push_back(new CSample());
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stringstream ss(line);
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string chr;
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TString sname;
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Int_t color;
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ss >> chr >> sname >> color;
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| 90 |
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string legend = line.substr(line.find('@')+1);
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samplev.back()->name = sname;
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samplev.back()->legend = legend;
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samplev.back()->color = color;
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samplev.back()->hists = init_hists(ctrl,sname);
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| 95 |
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continue;
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| 96 |
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}
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| 97 |
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| 98 |
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TString dset;
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| 99 |
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bool isdata;
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double xsec;
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| 101 |
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ss >> dset >> isdata >> xsec;
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| 102 |
dkralph |
1.4 |
assert(ctrl.muSele==ctrl.eleSele);
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TString fname = ntupledir+"/"+ctrl.muSele+"/"+dset+"/merged.root";
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dkralph |
1.8 |
samplev.back()->isdata = isdata;
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dkralph |
1.1 |
(samplev.back()->fsv).push_back(new filestuff(dset,fname,dset,isdata));
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}
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instream.close();
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| 109 |
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| 110 |
dkralph |
1.8 |
vector<pair<unsigned,unsigned> > runEvtv; // vector to veto duplicate events
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| 111 |
dkralph |
1.1 |
for(unsigned ics=0; ics<samplev.size(); ics++) {
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CSample *cs = samplev[ics];
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dkralph |
1.8 |
cout << cs->name << ": " << endl;
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| 114 |
dkralph |
1.1 |
for(unsigned ifs=0; ifs<(cs->fsv).size(); ifs++) {
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filestuff *fs = (cs->fsv)[ifs];
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| 116 |
dkralph |
1.8 |
cout << "\t" << fs->fname_ << endl;
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for(unsigned ientry=0; ientry<fs->getentries("FOtree"); ientry++) {
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| 118 |
dkralph |
1.1 |
fs->getentry(ientry,"info");
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| 119 |
dkralph |
1.8 |
// if(fs->isdata_) {
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| 120 |
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// if(fs->info->run < minRun) minRun = fs->info->run;
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| 121 |
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// if(fs->info->run > maxRun) maxRun = fs->info->run;
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| 122 |
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// }
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| 123 |
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// bool dupl=false;
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| 124 |
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// for(unsigned ievt=0; ievt<runEvtv.size(); ievt++) {
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| 125 |
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// if( (runEvtv[ievt].first == fs->info->run) && (runEvtv[ievt].second == fs->info->evt) ) {
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| 126 |
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// cout << "found duplicate event!" << setw(12) << fs->info->run << setw(12) << fs->info->evt << endl;
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| 127 |
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// dupl = true;
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| 128 |
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// }
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| 129 |
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// }
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| 130 |
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// if(dupl) continue;
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| 131 |
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// runEvtv.push_back(pair<unsigned,unsigned> (fs->info->run,fs->info->evt));
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| 132 |
dkralph |
1.1 |
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| 133 |
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unsigned npass = fs->passingL->size();
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| 134 |
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unsigned nfail = fs->failingL->size();
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| 135 |
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| 136 |
dkralph |
1.6 |
// z veto
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| 137 |
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bool zVeto=false;
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| 138 |
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for(unsigned ilep1=0; ilep1<npass; ilep1++) {
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| 139 |
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SimpleLepton lep1 = (*fs->passingL)[ilep1];
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| 140 |
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for(unsigned ilep2=ilep1+1; ilep2<npass; ilep2++) {
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| 141 |
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SimpleLepton lep2 = (*fs->passingL)[ilep2];
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| 142 |
dkralph |
1.7 |
// if(abs(lep1.type) == abs(lep2.type)) zVeto = true;
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| 143 |
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// if(lep1.charge != lep2.charge) zVeto = true;
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| 144 |
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if(abs(lep1.type) == abs(lep2.type) &&
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| 145 |
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lep1.charge != lep2.charge) zVeto = true;
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| 146 |
dkralph |
1.6 |
}
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| 147 |
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}
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| 148 |
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if(zVeto) continue;
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| 149 |
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| 150 |
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for(unsigned iw=0; iw<npass; iw++) {
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| 151 |
dkralph |
1.1 |
SimpleLepton w_lep = (*fs->passingL)[iw];
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| 152 |
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| 153 |
dkralph |
1.7 |
double wgt=1;
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| 154 |
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if(!fs->isdata_) {
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| 155 |
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double xsWgt = lumi*xstab.Get(fs->dataset_)/fs->total_entries_;
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| 156 |
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double puWgt = weightTrue2012(fs->info->npu);
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| 157 |
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wgt = xsWgt*puWgt;
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| 158 |
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}
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| 159 |
dkralph |
1.1 |
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| 160 |
dkralph |
1.6 |
// make fake ele and fake mu plots separately
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| 161 |
dkralph |
1.8 |
assert(ctrl.faketype=="mu" || ctrl.faketype=="ele");
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| 162 |
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assert(abs(w_lep.type)==11 || abs(w_lep.type)==13);
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| 163 |
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if( abs(w_lep.type)==11 && ctrl.faketype=="ele") continue;
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| 164 |
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if( abs(w_lep.type)==13 && ctrl.faketype=="mu" ) continue;
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| 165 |
dkralph |
1.7 |
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| 166 |
dkralph |
1.1 |
// selection on the W lepton
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| 167 |
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// if(w_lep.isoPF04/w_lep.vec.Pt() > 0.025) continue;
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| 168 |
dkralph |
1.6 |
if(fs->info->met < 25) continue;
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| 169 |
dkralph |
1.2 |
if(!(w_lep.tightCutsApplied)) continue;
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| 170 |
dkralph |
1.6 |
if(w_lep.vec.Pt() < 25) continue;
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| 171 |
dkralph |
1.8 |
if(fabs(w_lep.ip3dSig) > 4) continue;
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| 172 |
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// if( fs->isdata_)
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| 173 |
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// if( !(w_lep.bdtfail & 2) ) continue;
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| 174 |
dkralph |
1.7 |
// if(!w_lep.isTight) continue; // this bit stores whether the w lepton is trigger matched
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| 175 |
dkralph |
1.1 |
|
| 176 |
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// require an extra OF SS lepton
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| 177 |
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bool has_ssof=false;
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| 178 |
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vector<SimpleLepton> ssof_leps;
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| 179 |
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vector<TString> types;
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| 180 |
dkralph |
1.6 |
for(unsigned iextra=iw+1; iextra<npass; iextra++) {
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| 181 |
dkralph |
1.1 |
SimpleLepton ex_lep = (*fs->passingL)[iextra];
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| 182 |
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if(abs(ex_lep.type) == abs(w_lep.type)) continue;
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| 183 |
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if(ex_lep.charge != w_lep.charge) continue;
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| 184 |
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has_ssof = true;
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| 185 |
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ssof_leps.push_back(ex_lep);
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| 186 |
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types.push_back("pass");
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| 187 |
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}
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| 188 |
dkralph |
1.6 |
for(unsigned iextra=0; iextra<nfail; iextra++) {
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| 189 |
dkralph |
1.1 |
SimpleLepton ex_lep = (*fs->failingL)[iextra];
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| 190 |
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if(abs(ex_lep.type) == abs(w_lep.type)) continue;
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| 191 |
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if(ex_lep.charge != w_lep.charge) continue;
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| 192 |
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has_ssof = true;
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| 193 |
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ssof_leps.push_back(ex_lep);
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| 194 |
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types.push_back("fail");
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| 195 |
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}
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| 196 |
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if(!has_ssof) continue;
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| 197 |
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| 198 |
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// fill hists with W + (fake or pass)
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| 199 |
|
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double mt = get_mt(w_lep.vec.Phi(),fs->info->metphi,w_lep.vec.Pt(),fs->info->met);
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| 200 |
dkralph |
1.7 |
(*(cs->hists)["both"])["npv"]->Fill( fs->info->npv, wgt);
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| 201 |
dkralph |
1.1 |
(*(cs->hists)["both"])["w_pt"]->Fill( w_lep.vec.Pt(), wgt);
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| 202 |
|
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(*(cs->hists)["both"])["w_eta"]->Fill( w_lep.vec.Eta(), wgt);
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| 203 |
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(*(cs->hists)["both"])["w_isoPF04"]->Fill( w_lep.isoPF04/w_lep.vec.Pt(), wgt);
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| 204 |
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(*(cs->hists)["both"])["met"]->Fill( fs->info->met, wgt);
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| 205 |
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(*(cs->hists)["both"])["mt"]->Fill( mt, wgt);
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| 206 |
dkralph |
1.6 |
(*(cs->hists)["both"])["npass"]->Fill( npass, wgt);
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| 207 |
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(*(cs->hists)["both"])["nfail"]->Fill( nfail, wgt);
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| 208 |
dkralph |
1.8 |
(*(cs->hists)["both"])["run"]->Fill( fs->info->run, wgt);
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| 209 |
dkralph |
1.1 |
|
| 210 |
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for(unsigned iextra=0; iextra<ssof_leps.size(); iextra++) {
|
| 211 |
|
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SimpleLepton ex_lep = ssof_leps[iextra];
|
| 212 |
|
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double mass = (w_lep.vec + ex_lep.vec).M();
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| 213 |
dkralph |
1.2 |
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| 214 |
dkralph |
1.8 |
if(fabs(ex_lep.ip3dSig) > 4) continue;
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| 215 |
dkralph |
1.1 |
if(types[iextra] == "fail") {
|
| 216 |
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| 217 |
|
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// fill fake rate prediction
|
| 218 |
dkralph |
1.5 |
|
| 219 |
|
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double fake_wgt = get_fake_weight("",ex_lep,fr);
|
| 220 |
|
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double fake_wgt_lo = get_fake_weight("lo",ex_lep,fr);
|
| 221 |
|
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double fake_wgt_hi = get_fake_weight("hi",ex_lep,fr);
|
| 222 |
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| 223 |
dkralph |
1.6 |
double centr=fake_wgt*wgt,lo=fake_wgt_lo*wgt,hi=fake_wgt_hi*wgt;
|
| 224 |
|
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fillHist( cs, "pred", "w_pt", w_lep.vec.Pt(), centr, lo, hi);
|
| 225 |
|
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fillHist( cs, "pred", "l2_pt", ex_lep.vec.Pt(), centr, lo, hi);
|
| 226 |
|
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fillHist( cs, "pred", "w_eta", w_lep.vec.Eta(), centr, lo, hi);
|
| 227 |
|
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fillHist( cs, "pred", "l2_eta", ex_lep.vec.Eta(), centr, lo, hi);
|
| 228 |
|
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fillHist( cs, "pred", "w_isoPF04", w_lep.isoPF04/w_lep.vec.Pt(), centr, lo, hi);
|
| 229 |
|
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fillHist( cs, "pred", "l2_isoPF04", ex_lep.isoPF04/ex_lep.vec.Pt(), centr, lo, hi);
|
| 230 |
dkralph |
1.8 |
fillHist( cs, "pred", "w_ip3ds", w_lep.ip3dSig, centr, lo, hi);
|
| 231 |
|
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fillHist( cs, "pred", "l2_ip3ds", ex_lep.ip3dSig, centr, lo, hi);
|
| 232 |
dkralph |
1.6 |
fillHist( cs, "pred", "mass", mass, centr, lo, hi);
|
| 233 |
|
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fillHist( cs, "pred", "met", fs->info->met, centr, lo, hi);
|
| 234 |
|
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fillHist( cs, "pred", "mt", mt, centr, lo, hi);
|
| 235 |
dkralph |
1.8 |
fillHist( cs, "pred", "run", fs->info->run, centr, lo, hi);
|
| 236 |
dkralph |
1.6 |
|
| 237 |
dkralph |
1.3 |
(*(cs->hists)["pred"])["fr"]->Fill( fake_wgt );
|
| 238 |
dkralph |
1.6 |
|
| 239 |
dkralph |
1.1 |
} else if(types[iextra] == "pass") {
|
| 240 |
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|
| 241 |
|
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// fill the observation
|
| 242 |
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|
| 243 |
dkralph |
1.6 |
fillHist( cs, "obs", "w_pt", w_lep.vec.Pt(), wgt, 0, 0);
|
| 244 |
|
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fillHist( cs, "obs", "l2_pt", ex_lep.vec.Pt(), wgt, 0, 0);
|
| 245 |
|
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fillHist( cs, "obs", "w_eta", w_lep.vec.Eta(), wgt, 0, 0);
|
| 246 |
|
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fillHist( cs, "obs", "l2_eta", ex_lep.vec.Eta(), wgt, 0, 0);
|
| 247 |
|
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fillHist( cs, "obs", "w_isoPF04", w_lep.isoPF04/w_lep.vec.Pt(), wgt, 0, 0);
|
| 248 |
|
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fillHist( cs, "obs", "l2_isoPF04", ex_lep.isoPF04/ex_lep.vec.Pt(), wgt, 0, 0);
|
| 249 |
dkralph |
1.8 |
fillHist( cs, "obs", "w_ip3ds", w_lep.ip3dSig, wgt, 0, 0);
|
| 250 |
|
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fillHist( cs, "obs", "l2_ip3ds", ex_lep.ip3dSig, wgt, 0, 0);
|
| 251 |
dkralph |
1.6 |
fillHist( cs, "obs", "mass", mass, wgt, 0, 0);
|
| 252 |
|
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fillHist( cs, "obs", "met", fs->info->met, wgt, 0, 0);
|
| 253 |
|
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fillHist( cs, "obs", "mt", mt, wgt, 0, 0);
|
| 254 |
dkralph |
1.8 |
fillHist( cs, "obs", "run", fs->info->run, wgt, 0, 0);
|
| 255 |
dkralph |
1.1 |
} else { cout << "ERROR: types: " << types[iextra] << endl; assert(0); }
|
| 256 |
|
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}
|
| 257 |
|
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}
|
| 258 |
|
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}
|
| 259 |
|
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}
|
| 260 |
|
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}
|
| 261 |
dkralph |
1.8 |
// cout << setw(12) << minRun << setw(12) << maxRun << endl;
|
| 262 |
dkralph |
1.1 |
|
| 263 |
|
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assert(samplev.size()==3);
|
| 264 |
|
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CSample *cs = samplev[0];
|
| 265 |
|
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CSample *cs_mc = samplev[1];
|
| 266 |
|
|
CSample *cs_zmc = samplev[2];
|
| 267 |
|
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|
| 268 |
|
|
double total_mc_scale=-1;
|
| 269 |
dkralph |
1.2 |
RooFitResult *fitres = fitMt(ctrl,(*(cs_zmc->hists)["both"])["mt"],(*(cs_mc->hists)["both"])["mt"],(*(cs->hists)["both"])["mt"],total_mc_scale);
|
| 270 |
dkralph |
1.1 |
|
| 271 |
dkralph |
1.6 |
cout << "\n\n\ntotal mc scale: " << total_mc_scale << endl << endl << endl;
|
| 272 |
|
|
|
| 273 |
dkralph |
1.1 |
// RooArgList float_pars = fitres->floatParsFinal();
|
| 274 |
|
|
// RooRealVar *nWandZ = (RooRealVar*)float_pars.at(float_pars.index("nWandZ"));
|
| 275 |
|
|
// cout << nWandZ->getVal() << endl;
|
| 276 |
|
|
|
| 277 |
dkralph |
1.8 |
TFile runHistFile(ctrl.outdir+"/runs.root","recreate");
|
| 278 |
dkralph |
1.1 |
map<TString,TH1D*>::iterator it_v;
|
| 279 |
|
|
for(it_v=(*(cs->hists)["pred"]).begin(); it_v!=(*(cs->hists)["pred"]).end(); it_v++) {
|
| 280 |
|
|
TString var((*it_v).first);
|
| 281 |
|
|
|
| 282 |
dkralph |
1.6 |
// plot passing and failing fakes together
|
| 283 |
dkralph |
1.2 |
if(var!="mt") {
|
| 284 |
dkralph |
1.1 |
(*(cs_mc->hists)["both"])[var]->Scale(total_mc_scale);
|
| 285 |
|
|
(*(cs_zmc->hists)["both"])[var]->Scale(total_mc_scale);
|
| 286 |
|
|
}
|
| 287 |
dkralph |
1.8 |
TH1D *hBoth = (*(cs->hists)["both"])[var];
|
| 288 |
|
|
CPlot cplot_both("both_"+var,"",hBoth->GetXaxis()->GetTitle(),"events",ctrl.outdir+"/plots");
|
| 289 |
|
|
cplot_both.AddHist1D(hBoth,"tight+fk'ble: "+integral_str(hBoth),"E");
|
| 290 |
dkralph |
1.1 |
cplot_both.AddToStack((*(cs_zmc->hists)["both"])[var],"Z+j MC: "+integral_str((*(cs_zmc->hists)["both"])[var]),920);
|
| 291 |
|
|
cplot_both.AddToStack((*(cs_mc->hists)["both"])[var],"W+j MC: "+integral_str((*(cs_mc->hists)["both"])[var]),426);
|
| 292 |
|
|
|
| 293 |
dkralph |
1.8 |
if(var.Contains("eta")) cplot_both.SetYRange(0,1.4*hBoth->GetMaximum());
|
| 294 |
dkralph |
1.1 |
if(var.Contains("isoPF")) cplot_both.SetLogy();
|
| 295 |
dkralph |
1.2 |
if(var=="met") cplot_both.AddLine(25,0,25,18050,843,kDashed);
|
| 296 |
dkralph |
1.1 |
cplot_both.Draw(can,true,"png");
|
| 297 |
dkralph |
1.8 |
if(cs->isdata && var=="run") {
|
| 298 |
|
|
assert(hBoth->GetBinContent(0)==0 && hBoth->GetBinContent(hBoth->GetXaxis()->GetNbins()+1)==0);
|
| 299 |
|
|
hBoth->Write("runs");
|
| 300 |
|
|
}
|
| 301 |
dkralph |
1.1 |
|
| 302 |
|
|
// plot observation vs. prediction
|
| 303 |
|
|
(*(cs_mc->hists)["obs"])[var]->Scale(total_mc_scale);
|
| 304 |
|
|
(*(cs_zmc->hists)["obs"])[var]->Scale(total_mc_scale);
|
| 305 |
|
|
CPlot cplot(var,"",(*(cs->hists)["pred"])[var]->GetXaxis()->GetTitle(),"events",ctrl.outdir+"/plots");
|
| 306 |
|
|
cplot.AddHist1D((*(cs->hists)["obs"])[var],"Obs: "+integral_str((*(cs->hists)["obs"])[var]),"E");
|
| 307 |
|
|
cplot.AddHist1D((*(cs->hists)["pred"])[var],"FR predic: "+integral_str((*(cs->hists)["pred"])[var]),"hist",kRed);
|
| 308 |
dkralph |
1.6 |
cplot.AddHist1D((*(cs->hists)["pred_lo"])[var],"stat lo: "+integral_str((*(cs->hists)["pred_lo"])[var]),"hist",kRed,kDashed);
|
| 309 |
|
|
cplot.AddHist1D((*(cs->hists)["pred_hi"])[var],"stat hi: "+integral_str((*(cs->hists)["pred_hi"])[var]),"hist",kRed,kDashed);
|
| 310 |
|
|
|
| 311 |
|
|
// stack on the mc
|
| 312 |
dkralph |
1.5 |
// cplot.AddToStack((*(cs_zmc->hists)["obs"])[var],"Z+j MC: "+integral_str((*(cs_zmc->hists)["obs"])[var]),920);
|
| 313 |
|
|
// cplot.AddToStack((*(cs_mc->hists)["obs"])[var],"W+j MC: "+integral_str((*(cs_mc->hists)["obs"])[var]),426);
|
| 314 |
dkralph |
1.1 |
|
| 315 |
|
|
if(var.Contains("eta")) cplot.SetYRange(0,1.4*max((*(cs->hists)["obs"])[var]->GetMaximum(),(*(cs->hists)["pred"])[var]->GetMaximum()));
|
| 316 |
dkralph |
1.8 |
if(var.Contains("isoPF") || var.Contains("ip3ds")) {
|
| 317 |
dkralph |
1.6 |
cplot.SetLogy();
|
| 318 |
|
|
TH1D *hobs = (*(cs->hists)["obs"])[var];
|
| 319 |
|
|
TH1D *hpred = (*(cs->hists)["pred"])[var];
|
| 320 |
|
|
double isoMin = 0.008*min(hobs->GetBinContent(1), hpred->GetBinContent(1));
|
| 321 |
|
|
double isoMax = 1.8*max(hobs->GetBinContent(1), hpred->GetBinContent(1));
|
| 322 |
|
|
|
| 323 |
|
|
cplot.SetYRange(isoMin,isoMax);
|
| 324 |
|
|
// cplot.SetYRange(0,0.8*min((*(cs->hists)["obs"])[var]->GetMinimum(),(*(cs->hists)["pred"])[var]->GetMinimum()));
|
| 325 |
|
|
}
|
| 326 |
dkralph |
1.1 |
cplot.Draw(can,true,"png");
|
| 327 |
|
|
}
|
| 328 |
dkralph |
1.8 |
runHistFile.Close();
|
| 329 |
dkralph |
1.1 |
|
| 330 |
|
|
makeHTML(ctrl);
|
| 331 |
|
|
}
|
| 332 |
|
|
//----------------------------------------------------------------------------------------
|
| 333 |
|
|
map<TString,map<TString,TH1D*>* > init_hists(FOFlags &ctrl, TString str)
|
| 334 |
|
|
{
|
| 335 |
dkralph |
1.5 |
map<TString,map<TString,TH1D*>* > hists;
|
| 336 |
|
|
map<TString,TH1D*> *h_both = new map<TString,TH1D*>; hists["both"] = h_both;
|
| 337 |
|
|
map<TString,TH1D*> *h_pred = new map<TString,TH1D*>; hists["pred"] = h_pred;
|
| 338 |
|
|
map<TString,TH1D*> *h_pred_lo = new map<TString,TH1D*>; hists["pred_lo"] = h_pred_lo;
|
| 339 |
|
|
map<TString,TH1D*> *h_pred_hi = new map<TString,TH1D*>; hists["pred_hi"] = h_pred_hi;
|
| 340 |
|
|
map<TString,TH1D*> *h_obs = new map<TString,TH1D*>; hists["obs"] = h_obs;
|
| 341 |
dkralph |
1.1 |
map<TString,map<TString,TH1D*>* >::iterator it_h;
|
| 342 |
|
|
double w_pt_max,l2_pt_max,mass_max;
|
| 343 |
|
|
if(ctrl.faketype=="mu") {
|
| 344 |
|
|
w_pt_max = 80;
|
| 345 |
dkralph |
1.5 |
l2_pt_max = 35;
|
| 346 |
dkralph |
1.1 |
mass_max = 120;
|
| 347 |
|
|
} else if(ctrl.faketype=="ele"){
|
| 348 |
|
|
w_pt_max = 90;
|
| 349 |
|
|
l2_pt_max = 60;
|
| 350 |
|
|
mass_max = 210;
|
| 351 |
|
|
} else assert(0);
|
| 352 |
|
|
|
| 353 |
|
|
for(it_h=hists.begin(); it_h!=hists.end(); it_h++) {
|
| 354 |
dkralph |
1.8 |
(*((*it_h).second))["npv"] = new TH1D(TString("npv") +"_"+(*it_h).first+str,";#bf{n PV};", 50,-.5,49.5); (*((*it_h).second))["npv"]->Sumw2();
|
| 355 |
|
|
(*((*it_h).second))["w_pt"] = new TH1D(TString("w_pt") +"_"+(*it_h).first+str,";#bf{real p_{T} [GeV]};", 37,15,w_pt_max); (*((*it_h).second))["w_pt"]->Sumw2();
|
| 356 |
|
|
(*((*it_h).second))["l2_pt"] = new TH1D(TString("l2_pt") +"_"+(*it_h).first+str,";#bf{fake p_{T} [GeV]};", 25,0,l2_pt_max); (*((*it_h).second))["l2_pt"]->Sumw2();
|
| 357 |
|
|
(*((*it_h).second))["w_eta"] = new TH1D(TString("w_eta")+"_"+(*it_h).first+str,";#bf{real #eta};", 25,-2.5,2.5); (*((*it_h).second))["w_eta"]->Sumw2();
|
| 358 |
|
|
(*((*it_h).second))["l2_eta"] = new TH1D(TString("l2_eta")+"_"+(*it_h).first+str,";#bf{fake #eta};", 25,-2.5,2.5); (*((*it_h).second))["l2_eta"]->Sumw2();
|
| 359 |
|
|
(*((*it_h).second))["w_isoPF04"] = new TH1D(TString("w_isoPF04")+"_"+(*it_h).first+str,";#bf{real PF Iso};", 25,0,1); (*((*it_h).second))["w_isoPF04"]->Sumw2();
|
| 360 |
|
|
(*((*it_h).second))["l2_isoPF04"] = new TH1D(TString("l2_isoPF04")+"_"+(*it_h).first+str,";#bf{fake PF Iso};", 25,0,3); (*((*it_h).second))["l2_isoPF04"]->Sumw2();
|
| 361 |
|
|
(*((*it_h).second))["w_ip3ds"] = new TH1D(TString("w_ip3ds")+"_"+(*it_h).first+str,";#bf{real ip3dSig};", 25,0,10); (*((*it_h).second))["w_ip3ds"]->Sumw2();
|
| 362 |
|
|
(*((*it_h).second))["l2_ip3ds"] = new TH1D(TString("l2_ip3ds")+"_"+(*it_h).first+str,";#bf{fake ip3dSig};", 25,0,10); (*((*it_h).second))["l2_ip3ds"]->Sumw2();
|
| 363 |
|
|
(*((*it_h).second))["mass"] = new TH1D(TString("mass") +"_"+(*it_h).first+str,";#bf{m_{ll}};", 25,0,mass_max); (*((*it_h).second))["mass"]->Sumw2();
|
| 364 |
|
|
(*((*it_h).second))["met"] = new TH1D(TString("met") +"_"+(*it_h).first+str,";#bf{MET};", 25,0,100); (*((*it_h).second))["met"]->Sumw2();
|
| 365 |
|
|
(*((*it_h).second))["mt"] = new TH1D(TString("mt") +"_"+(*it_h).first+str,";#bf{m_{T}};", 25,2,150); (*((*it_h).second))["mt"]->Sumw2();
|
| 366 |
|
|
(*((*it_h).second))["fr"] = new TH1D(TString("fr") +"_"+(*it_h).first+str,";#bf{FR};", 125,-.01,.1); (*((*it_h).second))["fr"]->Sumw2();
|
| 367 |
|
|
(*((*it_h).second))["npass"] = new TH1D(TString("npass") +"_"+(*it_h).first+str,";#bf{N Pass};", 125,-.01,4); (*((*it_h).second))["npass"]->Sumw2();
|
| 368 |
|
|
(*((*it_h).second))["nfail"] = new TH1D(TString("nfail") +"_"+(*it_h).first+str,";#bf{N Fail};", 125,-.01,4); (*((*it_h).second))["nfail"]->Sumw2();
|
| 369 |
|
|
(*((*it_h).second))["run"] = new TH1D(TString("run") +"_"+(*it_h).first+str,";#bf{Run};", 50,160405,196550); (*((*it_h).second))["run"]->Sumw2();
|
| 370 |
dkralph |
1.1 |
}
|
| 371 |
|
|
|
| 372 |
|
|
return hists;
|
| 373 |
|
|
}
|
| 374 |
|
|
//--------------------------------------------------------------------------------------------------
|
| 375 |
|
|
void makeHTML(FOFlags &ctrl)
|
| 376 |
|
|
{
|
| 377 |
|
|
// TString title(ctrl.inputdir);
|
| 378 |
|
|
// title = title(title.Last('/')+1,title.Length());
|
| 379 |
|
|
TString title("EMU closure test: Fake "+ctrl.faketype);
|
| 380 |
|
|
ofstream htmlfile;
|
| 381 |
|
|
char htmlfname[100];
|
| 382 |
|
|
sprintf(htmlfname,"%s/"+ctrl.faketype+".html",ctrl.outdir.Data());
|
| 383 |
|
|
htmlfile.open(htmlfname);
|
| 384 |
|
|
|
| 385 |
|
|
htmlfile << "<!DOCTYPE html" << endl;
|
| 386 |
|
|
htmlfile << " PUBLIC \"-//W3C//DTD HTML 3.2//EN\">" << endl;
|
| 387 |
|
|
htmlfile << "<html>" << endl;
|
| 388 |
|
|
|
| 389 |
|
|
htmlfile << "<head><title>"+title+"</title></head>" << endl;
|
| 390 |
|
|
htmlfile << "<body bgcolor=\"EEEEEE\">" << endl;
|
| 391 |
|
|
htmlfile << "<h3 style=\"text-align:left; color:DD6600;\">"+title+"</h3>" << endl;
|
| 392 |
|
|
|
| 393 |
|
|
htmlfile << "<table border=\"0\" cellspacing=\"5\" width=\"100%\">" << endl;
|
| 394 |
|
|
htmlfile << "<tr>" << endl;
|
| 395 |
dkralph |
1.2 |
htmlfile << "<td width=\"33.3%\"><a target=\"_blank\" href=\"plots/mtfitW.png\"><img src=\"plots/mtfitW.png\" alt=\"plots/mtfitW.png\" width=\"100%\"></a></td>" << endl;
|
| 396 |
|
|
htmlfile << "<td width=\"33.3%\"><a target=\"_blank\" href=\"plots/both_met.png\"><img src=\"plots/both_met.png\" alt=\"plots/both_met.png\" width=\"100%\"></a></td>" << endl;
|
| 397 |
dkralph |
1.1 |
htmlfile << "</tr>" << endl;
|
| 398 |
|
|
htmlfile << "</table>" << endl;
|
| 399 |
|
|
|
| 400 |
|
|
htmlfile << "<table border=\"0\" cellspacing=\"5\" width=\"100%\">" << endl;
|
| 401 |
|
|
htmlfile << "<tr>" << endl;
|
| 402 |
dkralph |
1.3 |
htmlfile << "<td width=\"33.3%\"><a target=\"_blank\" href=\"plots/fr.png\"><img src=\"plots/fr.png\" alt=\"plots/fr.png\" width=\"100%\"></a></td>" << endl;
|
| 403 |
dkralph |
1.7 |
htmlfile << "<td width=\"33.3%\"><a target=\"_blank\" href=\"plots/both_npv.png\"><img src=\"plots/both_npv.png\" alt=\"plots/both_npv.png\" width=\"100%\"></a></td>" << endl;
|
| 404 |
dkralph |
1.8 |
htmlfile << "<td width=\"33.3%\"><a target=\"_blank\" href=\"plots/run.png\"><img src=\"plots/run.png\" alt=\"plots/run.png\" width=\"100%\"></a></td>" << endl;
|
| 405 |
dkralph |
1.3 |
htmlfile << "</tr>" << endl;
|
| 406 |
|
|
htmlfile << "</table>" << endl;
|
| 407 |
|
|
|
| 408 |
|
|
htmlfile << "<table border=\"0\" cellspacing=\"5\" width=\"100%\">" << endl;
|
| 409 |
|
|
htmlfile << "<tr>" << endl;
|
| 410 |
dkralph |
1.1 |
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/mass.png\"><img src=\"plots/mass.png\" alt=\"plots/mass.png\" width=\"100%\"></a></td>" << endl;
|
| 411 |
|
|
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/mt.png\"><img src=\"plots/mt.png\" alt=\"plots/mt.png\" width=\"100%\"></a></td>" << endl;
|
| 412 |
|
|
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/met.png\"><img src=\"plots/met.png\" alt=\"plots/met.png\" width=\"100%\"></a></td>" << endl;
|
| 413 |
|
|
htmlfile << "</tr>" << endl;
|
| 414 |
|
|
htmlfile << "</table>" << endl;
|
| 415 |
|
|
|
| 416 |
|
|
htmlfile << "<table border=\"0\" cellspacing=\"5\" width=\"100%\">" << endl;
|
| 417 |
|
|
htmlfile << "<tr>" << endl;
|
| 418 |
dkralph |
1.8 |
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/w_pt.png\"><img src=\"plots/w_pt.png\" alt=\"plots/w_pt.png\" width=\"100%\"></a></td>" << endl;
|
| 419 |
|
|
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/w_eta.png\"><img src=\"plots/w_eta.png\" alt=\"plots/w_eta.png\" width=\"100%\"></a></td>" << endl;
|
| 420 |
|
|
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/w_isoPF04.png\"><img src=\"plots/w_isoPF04.png\" alt=\"plots/w_isoPF04.png\" width=\"100%\"></a></td>" << endl;
|
| 421 |
|
|
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/w_ip3ds.png\"><img src=\"plots/w_ip3ds.png\" alt=\"plots/w_ip3ds.png\" width=\"100%\"></a></td>" << endl;
|
| 422 |
dkralph |
1.1 |
htmlfile << "</tr>" << endl;
|
| 423 |
|
|
htmlfile << "</table>" << endl;
|
| 424 |
|
|
|
| 425 |
|
|
htmlfile << "<table border=\"0\" cellspacing=\"5\" width=\"100%\">" << endl;
|
| 426 |
|
|
htmlfile << "<tr>" << endl;
|
| 427 |
dkralph |
1.8 |
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/l2_pt.png\"><img src=\"plots/l2_pt.png\" alt=\"plots/l2_pt.png\" width=\"100%\"></a></td>" << endl;
|
| 428 |
|
|
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/l2_eta.png\"><img src=\"plots/l2_eta.png\" alt=\"plots/l2_eta.png\" width=\"100%\"></a></td>" << endl;
|
| 429 |
|
|
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/l2_isoPF04.png\"><img src=\"plots/l2_isoPF04.png\" alt=\"plots/l2_isoPF04.png\" width=\"100%\"></a></td>" << endl;
|
| 430 |
|
|
htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/l2_ip3ds.png\"><img src=\"plots/l2_ip3ds.png\" alt=\"plots/l2_ip3ds.png\" width=\"100%\"></a></td>" << endl;
|
| 431 |
dkralph |
1.1 |
htmlfile << "</tr>" << endl;
|
| 432 |
|
|
htmlfile << "</table>" << endl;
|
| 433 |
|
|
htmlfile << "<hr />" << endl;
|
| 434 |
|
|
|
| 435 |
dkralph |
1.6 |
// htmlfile << "<table border=\"0\" cellspacing=\"5\" width=\"100%\">" << endl;
|
| 436 |
|
|
// htmlfile << "<tr>" << endl;
|
| 437 |
|
|
// htmlfile << "<td width=\"25%\"><a target=\"_blank\" href=\"plots/both_w_isoPF04.png\"><img src=\"plots/both_w_isoPF04.png\" alt=\"plots/both_w_isoPF04.png\" width=\"100%\"></a></td>" << endl;
|
| 438 |
|
|
// htmlfile << "</tr>" << endl;
|
| 439 |
|
|
// htmlfile << "</table>" << endl;
|
| 440 |
dkralph |
1.1 |
|
| 441 |
|
|
htmlfile << "<hr />" << endl;
|
| 442 |
|
|
|
| 443 |
|
|
htmlfile << "<hr />" << endl;
|
| 444 |
|
|
|
| 445 |
|
|
htmlfile << "</body>" << endl;
|
| 446 |
|
|
htmlfile << "</html>" << endl;
|
| 447 |
|
|
htmlfile.close();
|
| 448 |
|
|
}
|
| 449 |
|
|
//----------------------------------------------------------------------------------------
|
| 450 |
dkralph |
1.2 |
RooFitResult *fitMt(FOFlags &ctrl, TH1D *hmcZ, TH1D *hmcW, TH1D *hdata, double &total_mc_scale)
|
| 451 |
dkralph |
1.1 |
{
|
| 452 |
dkralph |
1.2 |
double original_w_integral = integrateHist(hmcW);
|
| 453 |
dkralph |
1.1 |
|
| 454 |
dkralph |
1.2 |
RooRealVar mt("mt","MT [GeV]",hdata->GetXaxis()->GetXmin(),hdata->GetXaxis()->GetXmax());
|
| 455 |
|
|
RooBinning mtbins(hdata->GetNbinsX(),hdata->GetXaxis()->GetXmin(),hdata->GetXaxis()->GetXmax());
|
| 456 |
|
|
mt.setBinning(mtbins);
|
| 457 |
dkralph |
1.1 |
|
| 458 |
|
|
// data
|
| 459 |
dkralph |
1.2 |
RooDataHist obsMt("obsMt","obsMt",RooArgList(mt),hdata);
|
| 460 |
dkralph |
1.1 |
// W mc pdf
|
| 461 |
|
|
hmcW->Smooth(2);
|
| 462 |
dkralph |
1.2 |
RooDataHist hW("hW","hW",RooArgList(mt),hmcW);
|
| 463 |
|
|
RooHistPdf pW("pW","pW",RooArgSet(mt),hW,3);
|
| 464 |
|
|
// Z mc pdf
|
| 465 |
|
|
RooDataHist hZ("hZ","hZ",RooArgList(mt),hmcZ);
|
| 466 |
|
|
RooHistPdf pZ("pZ","pZ",RooArgSet(mt),hZ,3);
|
| 467 |
dkralph |
1.1 |
// rayleigh pdf
|
| 468 |
dkralph |
1.2 |
RooRealVar sig("sig","sig",400,15,585);
|
| 469 |
|
|
RooRealVar a1("a1","a1",-3,-10,10);
|
| 470 |
|
|
// RooGenericPdf rayl("rayl","rayl","mt*exp(-(mt)*(mt)/(2*sig*sig))",RooArgList(mt,sig));
|
| 471 |
|
|
RooGenericPdf rayl("rayl","rayl","mt*exp(-(mt)*(mt)/(sig*sig +2*sig*a1*(mt) + a1*a1*(mt)*(mt)))",RooArgList(mt,sig,a1));
|
| 472 |
|
|
|
| 473 |
|
|
RooRealVar nObs("nObs","nObs",integrateHist(hdata));
|
| 474 |
|
|
RooRealVar nWandZ("nWandZ","nWandZ",0.98*nObs.getVal(),.95*nObs.getVal(),1.1*nObs.getVal());
|
| 475 |
|
|
RooRealVar zFrac("zFrac","zFrac",integrateHist(hmcZ) / (integrateHist(hmcZ) + integrateHist(hmcW)));
|
| 476 |
|
|
RooAddPdf modelWandZ("modelWandZ","modelWandZ",RooArgList(pZ,pW),zFrac);
|
| 477 |
|
|
RooRealVar nRayl("nRayl","nRayl",0.05*nObs.getVal(),0.0*nObs.getVal(),.05*nObs.getVal());
|
| 478 |
|
|
|
| 479 |
|
|
RooExtendPdf extWandZ("extWandZ","extWandZ",modelWandZ,nWandZ);
|
| 480 |
|
|
RooExtendPdf extRayl("extRayl","extRayl",rayl,nRayl);
|
| 481 |
|
|
|
| 482 |
|
|
RooAddPdf *model = new RooAddPdf("model","model",RooArgList(extWandZ,extRayl));
|
| 483 |
|
|
|
| 484 |
|
|
RooFitResult *fitres = model->fitTo(obsMt,Extended(kTRUE),Save(kTRUE));
|
| 485 |
|
|
fitres->Print();
|
| 486 |
|
|
|
| 487 |
|
|
TH1D *rayl_hist = (TH1D*)rayl.createHistogram("rayl_mt",mt,Binning(mtbins));
|
| 488 |
|
|
rayl_hist->Scale(nRayl.getVal()/integrateHist(rayl_hist));
|
| 489 |
|
|
TH1D *totalHist = (TH1D*)model->createHistogram("total_mt",mt,Binning(mtbins));
|
| 490 |
|
|
totalHist->Scale( (nWandZ.getVal() + nRayl.getVal()) / integrateHist(totalHist) );
|
| 491 |
|
|
|
| 492 |
|
|
// // why the fuck do I need this?
|
| 493 |
|
|
// double tot = nWandZ.getVal() + nRayl.getVal();
|
| 494 |
|
|
// if(use_exp) tot += nExp.getVal();
|
| 495 |
|
|
// double hack_fac = integrateHist(hdata)/tot;
|
| 496 |
|
|
// rayl_hist->Scale(hack_fac);
|
| 497 |
|
|
// exp_hist->Scale(hack_fac);
|
| 498 |
|
|
// hmcZ->Scale(hack_fac);
|
| 499 |
|
|
// hmcW->Scale(hack_fac);
|
| 500 |
|
|
|
| 501 |
|
|
// RooPlot *frame = mt.frame();
|
| 502 |
|
|
// obsMt.plotOn(frame);
|
| 503 |
|
|
// model->plotOn(frame);
|
| 504 |
|
|
// model->plotOn(frame,Components("pW"),LineStyle(kDashed),LineColor(kRed));
|
| 505 |
|
|
// model->plotOn(frame,Components("pZ"),LineColor(kRed));
|
| 506 |
|
|
// model->plotOn(frame,Components("rayl"),LineColor(kGreen));
|
| 507 |
|
|
// frame->Draw();
|
| 508 |
|
|
// can->SaveAs("~/public_html/foo.png");
|
| 509 |
|
|
|
| 510 |
|
|
hmcW->Scale( (nWandZ.getVal()*(1-zFrac.getVal())) / integrateHist(hmcW) );
|
| 511 |
|
|
hmcZ->Scale( (nWandZ.getVal()*zFrac.getVal()) / integrateHist(hmcZ) );
|
| 512 |
dkralph |
1.1 |
|
| 513 |
dkralph |
1.2 |
CPlot plotMtFit("mtfitW","","MT [GeV]","Events",ctrl.outdir+"/plots");
|
| 514 |
|
|
plotMtFit.AddHist1D(hdata,"tight+fk'ble: " + integral_str(hdata),"E");
|
| 515 |
|
|
plotMtFit.AddHist1D(totalHist,"total MC: " + integral_str(totalHist),"hist",kRed);
|
| 516 |
|
|
plotMtFit.AddToStack(rayl_hist,"jet (Rayleigh): " + integral_str(rayl_hist),kBlue);
|
| 517 |
|
|
plotMtFit.AddToStack(hmcZ,"Z+j MC: " + integral_str(hmcZ),kGray);
|
| 518 |
|
|
plotMtFit.AddToStack(hmcW,"W+j MC: " + integral_str(hmcW),kCyan-6);
|
| 519 |
|
|
plotMtFit.Draw(can,kTRUE,"png");
|
| 520 |
dkralph |
1.1 |
|
| 521 |
dkralph |
1.2 |
total_mc_scale = integrateHist(hmcW) / original_w_integral;
|
| 522 |
dkralph |
1.1 |
|
| 523 |
|
|
return fitres;
|
| 524 |
|
|
}
|
| 525 |
dkralph |
1.6 |
//----------------------------------------------------------------------------------------
|
| 526 |
|
|
void fillHist(CSample *cs, TString type, TString var, double val, double wgt, double wgt_lo, double wgt_hi)
|
| 527 |
|
|
{
|
| 528 |
|
|
(*(cs->hists)[type])[var]->Fill( val, wgt);
|
| 529 |
|
|
if(type=="pred") {
|
| 530 |
|
|
(*(cs->hists)[type+"_lo"])[var]->Fill( val, wgt_lo);
|
| 531 |
|
|
(*(cs->hists)[type+"_hi"])[var]->Fill( val, wgt_hi);
|
| 532 |
|
|
}
|
| 533 |
|
|
}
|
