| 1 |
#include <iostream>
|
| 2 |
#include <fstream>
|
| 3 |
#include <TCut.h>
|
| 4 |
#include <TColor.h>
|
| 5 |
#include <TStyle.h>
|
| 6 |
|
| 7 |
#ifndef SampleClassLoaded
|
| 8 |
#include "SampleClass.C"
|
| 9 |
#endif
|
| 10 |
#define SetupLoaded
|
| 11 |
|
| 12 |
using namespace std;
|
| 13 |
|
| 14 |
|
| 15 |
namespace PlottingSetup {
|
| 16 |
|
| 17 |
// string directoryname="official_2096ipb___forPASv5_withPDF";
|
| 18 |
string directoryname="official_3523ipb___forAN_prepaper_NewSelection";
|
| 19 |
|
| 20 |
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 :-)
|
| 21 |
|
| 22 |
float luminosity=3523.18;//2096.0;//3172.73;//2096.0;//1936;//751.0;//486.0;//468.0//336.;//pb^{-1}
|
| 23 |
// float luminosity=3523.18;//2096.0;//3172.73;//2096.0;//1936;//751.0;//486.0;//468.0//336.;//pb^{-1}
|
| 24 |
// float luminosity=2096.0;//3172.73;//2096.0;//1936;//751.0;//486.0;//468.0//336.;//pb^{-1}
|
| 25 |
float lumiuncert=0.045;// to be indicated in [0,1] range, e.g. for 4% write 0.04
|
| 26 |
|
| 27 |
string jzbvariabledata="jzb[1]+0.06*pt";
|
| 28 |
string jzbvariablemc="jzb[1]+0.04*pt";
|
| 29 |
float jzbHigh = 350.; // Range for JZB plots
|
| 30 |
|
| 31 |
samplecollection allsamples("completesamplecollection");
|
| 32 |
samplecollection signalsamples("signalsamplecollection");
|
| 33 |
samplecollection scansample("scansamplecollection");
|
| 34 |
samplecollection raresample("raresamplecollection");
|
| 35 |
int data=1;
|
| 36 |
int mc=0;
|
| 37 |
int mcwithsignal=2;
|
| 38 |
TCut passtrig("(passed_triggers||!is_data)");
|
| 39 |
TCut cutmass("abs(mll-91.2)<20");
|
| 40 |
TCut genMassCut("abs(genMll-91.2)<20");
|
| 41 |
TCut openmasscut("mll>40"); // this is the mass cut used in the off peak analysis!
|
| 42 |
TCut openGenmasscut("genMll>40");
|
| 43 |
//TCut cutmass("mll>2");
|
| 44 |
TCut basiccut("mll>2");//basically nothing.
|
| 45 |
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.
|
| 46 |
//TCut jetqualitycut("(pfJetGoodNum>=2&&pfJetGoodID[0])&&(pfJetGoodNum>=2&&pfJetGoodID[1])");//now part of the basiccut
|
| 47 |
//TCut jetqualitycut("mll>0");
|
| 48 |
|
| 49 |
TCut cutnJets("pfJetGoodNum>=3"&&basicqualitycut);
|
| 50 |
TCut cutnJetsJESdown("pfJetGoodNum25>=3"&&basicqualitycut);
|
| 51 |
TCut cutnJetsJESup("pfJetGoodNum35>=3"&&basicqualitycut);
|
| 52 |
TCut cutOSOF("(id1!=id2)&&(ch1*ch2<0)");
|
| 53 |
TCut cutOSSF("(id1==id2)&&(ch1*ch2<0)");
|
| 54 |
TCut sidebandcut("(mll>55&&mll<70)||(mll>112&&mll<160)");
|
| 55 |
|
| 56 |
//TCut sidebandcut("(mll>61&&mll<70)||(mll>112&&mll<190)");
|
| 57 |
//TCut basiccut("(passed_triggers||!is_data)");
|
| 58 |
|
| 59 |
// SUSY scan parameters
|
| 60 |
float mglustart=25;float mgluend=1200;float mglustep=25;
|
| 61 |
float mLSPstart=25;float mLSPend=1200;float mLSPstep=25;
|
| 62 |
|
| 63 |
float m0start=20; float m0end=2000; float m0step=20;
|
| 64 |
float m12start=20; float m12end=760; float m12step=20;
|
| 65 |
|
| 66 |
int ScanXzones=10; // number of zones in x for (mSUGRA) scans
|
| 67 |
int ScanYzones=10; // number of zones in y for (mSUGRA) scans
|
| 68 |
|
| 69 |
TCut essential(passtrig);//add here any cuts you ALWAYS want
|
| 70 |
int dogaus=0;
|
| 71 |
int doKM=1;
|
| 72 |
int dogaus2sigma=2;
|
| 73 |
int dogaus3sigma=3;
|
| 74 |
int Kostasmethod=-99;
|
| 75 |
|
| 76 |
float fitresultconstdata=0;//this is the result when fitting in the 0-30 GeV range
|
| 77 |
float fitresultconstmc=0;//this is the result when fitting in the 0-30 GeV range
|
| 78 |
|
| 79 |
int method=-1;//Fitting method
|
| 80 |
|
| 81 |
//now some style issues:
|
| 82 |
float DataMarkerSize=1.2;
|
| 83 |
|
| 84 |
//here we save our number of predicted and observed events (with errors)
|
| 85 |
vector<float> Nobs;
|
| 86 |
vector<float> Npred;
|
| 87 |
vector<float> Nprederr;
|
| 88 |
|
| 89 |
//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
|
| 90 |
vector<float> flippedNobs;
|
| 91 |
vector<float> flippedNpred;
|
| 92 |
vector<float> flippedNprederr;
|
| 93 |
|
| 94 |
int noJES=0;
|
| 95 |
int JESdown=1;
|
| 96 |
int JESup=2;
|
| 97 |
|
| 98 |
//some refinement: nicer color gradient
|
| 99 |
Double_t stops[5] = { 0.00, 0.34, 0.61, 0.84, 1.00 };
|
| 100 |
Double_t red[5] = { 0.00, 0.00, 0.87, 1.00, 0.51 };
|
| 101 |
Double_t green[5] = { 0.00, 0.81, 1.00, 0.20, 0.00 };
|
| 102 |
Double_t blue[5] = { 0.51, 1.00, 0.12, 0.00, 0.00 };
|
| 103 |
int fi=TColor::CreateGradientColorTable(5, stops, red, green,blue, 255);
|
| 104 |
|
| 105 |
// LIMITS
|
| 106 |
int nlimittoys=1000; // how many toys for setting limits
|
| 107 |
string limitmethod="cls";//what method to use to set limits
|
| 108 |
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.
|
| 109 |
bool ConsiderSignalContaminationForLimits=true; //whether or not to consider signal contamination when computing limits (standard:true)
|
| 110 |
int nuisancemodel=1;
|
| 111 |
|
| 112 |
float JZBPeakPositionData=-999;
|
| 113 |
float JZBPeakPositionMC=-999;
|
| 114 |
float JZBPeakWidthData=-999;
|
| 115 |
float JZBPeakWidthMC=-999;
|
| 116 |
|
| 117 |
// two possible future systematics that ATM only take up CPU time in SUSY scans
|
| 118 |
bool computeJZBefficiency=false;
|
| 119 |
bool computeJZBresponse=false;
|
| 120 |
|
| 121 |
|
| 122 |
//watch out, the cbafbasedir string is in GeneralToolBox
|
| 123 |
}
|
