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#include <iostream> |
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#include <fstream> |
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#include <TCut.h> |
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#include <TColor.h> |
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#include <TStyle.h> |
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#ifndef SampleClassLoaded |
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#include "SampleClass.C" |
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#endif |
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#define SetupLoaded |
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using namespace std; |
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namespace PlottingSetup { |
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float luminosity=751.0;//486.0;//468.0//336.;//pb^{-1} |
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// string directoryname="official_2096ipb___forPASv5_withPDF"; |
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string directoryname="official_3523ipb___forAN_prepaper_NewSelection"; |
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bool RestrictToMassPeak=true; //if you want to switch between offpeak ("false") and onpeak ("true") analysis please use this switch; the masscut below will be adapted automatically when adding samples :-) |
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float luminosity=3523.18;//2096.0;//3172.73;//2096.0;//1936;//751.0;//486.0;//468.0//336.;//pb^{-1} |
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// float luminosity=3523.18;//2096.0;//3172.73;//2096.0;//1936;//751.0;//486.0;//468.0//336.;//pb^{-1} |
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// float luminosity=2096.0;//3172.73;//2096.0;//1936;//751.0;//486.0;//468.0//336.;//pb^{-1} |
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float lumiuncert=0.045;// to be indicated in [0,1] range, e.g. for 4% write 0.04 |
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string jzbvariabledata="jzb[1]+0.06*pt"; |
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string jzbvariablemc="jzb[1]+0.04*pt"; |
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float jzbHigh = 350.; // Range for JZB plots |
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samplecollection allsamples("completesamplecollection"); |
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samplecollection signalsamples("signalsamplecollection"); |
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samplecollection scansample("scansamplecollection"); |
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samplecollection raresample("raresamplecollection"); |
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int data=1; |
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int mc=0; |
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int mcwithsignal=2; |
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TCut passtrig("(passed_triggers||!is_data)"); |
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TCut cutmass("abs(mll-91.2)<20"); |
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TCut genMassCut("abs(genMll-91.2)<20"); |
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TCut openmasscut("mll>40"); // this is the mass cut used in the off peak analysis! |
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TCut openGenmasscut("genMll>40"); |
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//TCut cutmass("mll>2"); |
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TCut basiccut("mll>2");//basically nothing. |
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TCut basicqualitycut("(pfJetGoodNum>=2&&pfJetGoodID[0])&&(pfJetGoodNum>=2&&pfJetGoodID[1])");//don't use this for the "essential cut", because we want to plot nJets as well as mll in the inclusive case; we thus use it as an addition nJets cut. |
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TCut basicqualitycut("(pfJetGoodNum>=2&&pfJetGoodID[0]!=0)&&(pfJetGoodNum>=2&&pfJetGoodID[1]!=0)");//don't use this for the "essential cut", because we want to plot nJets as well as mll in the inclusive case; we thus use it as an addition nJets cut. |
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//TCut jetqualitycut("(pfJetGoodNum>=2&&pfJetGoodID[0])&&(pfJetGoodNum>=2&&pfJetGoodID[1])");//now part of the basiccut |
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//TCut jetqualitycut("mll>0"); |
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TCut cutnJets("pfJetGoodNum>=3"&&basicqualitycut); |
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TCut cutnJetsJESdown("pfJetGoodNum25>=3"&&basicqualitycut); |
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TCut cutnJetsJESup("pfJetGoodNum35>=3"&&basicqualitycut); |
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TCut cutOSOF("(id1!=id2)&&(ch1*ch2<0)"); |
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TCut cutOSSF("(id1==id2)&&(ch1*ch2<0)"); |
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TCut sidebandcut("(mll>55&&mll<70)||(mll>112&&mll<160)"); |
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//TCut sidebandcut("(mll>61&&mll<70)||(mll>112&&mll<190)"); |
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//TCut basiccut("(passed_triggers||!is_data)"); |
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// SUSY scan parameters |
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float mglustart=25;float mgluend=1200;float mglustep=25; |
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float mLSPstart=25;float mLSPend=1200;float mLSPstep=25; |
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float m0start=20; float m0end=2000; float m0step=20; |
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float m12start=20; float m12end=760; float m12step=20; |
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int ScanXzones=10; // number of zones in x for (mSUGRA) scans |
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int ScanYzones=10; // number of zones in y for (mSUGRA) scans |
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TCut essential(passtrig);//add here any cuts you ALWAYS want |
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int dogaus=0; |
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int doKM=1; |
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int dogaus3sigma=3; |
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int Kostasmethod=-99; |
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float fitresultconstdata=0;//this is the result when fitting in the 0-30 GeV range! |
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float fitresultconstmc=0;//this is the result when fitting in the 0-30 GeV range! |
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float fitresultconstdata=0;//this is the result when fitting in the 0-30 GeV range |
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float fitresultconstmc=0;//this is the result when fitting in the 0-30 GeV range |
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int method=-1;//Fitting method |
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//now some style issues: |
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float DataMarkerSize=1.2; |
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//here we save our number of predicted and observed events (with errors) |
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vector<float> Nobs; |
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vector<float> Npred; |
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vector<float> Nprederr; |
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//here we save our "flipped" number of predicted and observed events (with errors) -- this means that we consider JZB<-X as observed and construct the corresponding prediction |
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vector<float> flippedNobs; |
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vector<float> flippedNpred; |
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vector<float> flippedNprederr; |
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int method=-1; |
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int noJES=0; |
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int JESdown=1; |
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int JESup=2; |
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//some refinement: nicer color gradient |
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Double_t stops[5] = { 0.00, 0.34, 0.61, 0.84, 1.00 }; |
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Double_t red[5] = { 0.00, 0.00, 0.87, 1.00, 0.51 }; |
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Double_t green[5] = { 0.00, 0.81, 1.00, 0.20, 0.00 }; |
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Double_t blue[5] = { 0.51, 1.00, 0.12, 0.00, 0.00 }; |
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int fi=TColor::CreateGradientColorTable(5, stops, red, green,blue, 255); |
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// LIMITS |
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int nlimittoys=1000; // how many toys for setting limits |
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string limitmethod="cls";//what method to use to set limits |
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int limitpatience=15; // for how many minutes should the limit calculation (for one configuration!) be allowed to run before being aborted? this only has an effect when when running on the grid. |
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bool ConsiderSignalContaminationForLimits=true; //whether or not to consider signal contamination when computing limits (standard:true) |
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int nuisancemodel=1; |
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float JZBPeakPositionData=-999; |
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float JZBPeakPositionMC=-999; |
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float JZBPeakWidthData=-999; |
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float JZBPeakWidthMC=-999; |
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// two possible future systematics that ATM only take up CPU time in SUSY scans |
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bool computeJZBefficiency=false; |
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bool computeJZBresponse=false; |
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//watch out, the cbafbasedir string is in GeneralToolBox |
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} |
