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LoopAll.h
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#ifndef LoopAll_h
#define LoopAll_h
#include "CommonParameters.h"
#include "TROOT.h"
#include "TChain.h"
#include "TFile.h"
#include "TH1D.h"
#include "TMacro.h"
#include "TClonesArray.h"
#include <sstream>
#include <set>
#include <string>
#include <list>
#include <map>
#include <THStack.h>
#include <TLegend.h>
#include <TAxis.h>
#include "TMVA/Reader.h"
#include "TStopwatch.h"
class BaseAnalysis;
#include "HistoContainer.h"
#include "CounterContainer.h"
#include "SampleContainer.h"
#include "TreeContainer.h"
#include "Cut.h"
#include "branchdef/Limits.h"
#include "RooContainer.h"
#include "VertexAnalysis/interface/HggVertexAnalyzer.h"
#include "VertexAnalysis/interface/HggVertexFromConversions.h"
#include "VertexAnalysis/interface/VertexAlgoParameters.h"
#include "VertexAnalysis/interface/PhotonInfo.h"
#include "VertexAnalysis/interface/VertexAlgoParameters.h"
#include "Macros/Normalization_8TeV.h"
#include "RooFuncReader.h"
#define BRANCH_DICT(NAME) branchDict[# NAME] = branch_info_t(& b ## _ ## NAME, & LoopAll::SetBranchAddress ## _ ## NAME, & LoopAll::Branch ## _ ## NAME )
#define DEBUG 1
class LoopAll {
public :
TTree *fChain;
#include "branchdef/branchdef.h"
#include "branchdef/treedef.h"
#include "branchdef/setbranchaddress.h"
#include "branchdef/treebranch.h"
std::vector<HistoContainer> histoContainer;
std::vector<CounterContainer> counterContainer;
std::vector<SampleContainer> sampleContainer;
std::vector<Cut> cutContainer;
//std::vector<TreeContainer> treeContainer;
std::map<std::string, std::vector<TreeContainer> > treeContainer;
RooContainer *rooContainer;
int sqrtS;
Normalization_8TeV * normalizer();
LoopAll(TTree *tree=0);
virtual ~LoopAll();
virtual Int_t GetEntry(Long64_t entry);
virtual Long64_t LoadTree(Long64_t entry);
virtual void Init(Int_t typerunpass, TTree *tree);
virtual void InitReal(Int_t typerunpass);
virtual void TermReal(Int_t typerunpass);
//virtual void Loop(Double_t a);
virtual Bool_t Notify();
virtual void Show(Long64_t entry = -1);
virtual void InitHistos();
void LoopAndFillHistos(TString treename="event");
void MergeContainers();
//void WriteHist();
//void WriteFits();
//void WriteCounters();
/** @param type is the type of the analysis:
0 for looper.py (filling histograms)
1 for reduce.py (reduction step)
@param n is the name of the output file
*/
void SetTypeRun(int type, const char* n);
//void SetOutputNames(const char* n, const char* n2="");
void StoreProcessedLumis(TTree * tree);
void AddFile(std::string,int);
void ReadInput(int t=0);
void SetSubJob(bool);
/** adds a new entry to sampleContainer and returns a reference
to this entry. */
SampleContainer & DefineSamples(const char *filesshortnam,
int type, int histtoindfromfiles, int histoplotit,
int nred, long long ntot, float intlumi,
float lumi, float xsec, float kfactor,
float scale, bool ignoreEvWeight=false,
int forceVersion=0,
bool addnevents=false, TString pileup="");
void Term();
void checkDuty(int n, float thr, float start) { checkBench=n; benchThr=thr; benchStart=start; }
int checkBench;
TStopwatch stopWatch;
float benchThr, benchStart;
bool is_subjob;
std::vector<TMacro*> configFiles;
std::vector<std::string> files;
std::vector<int> itype;
//int lumireal[MAXFILES];
int nfiles;
float intlumi;
float intlumi_;
// Zee Validaton Flag
bool runZeeValidation;
bool applyEcalIsoPresel;
bool makeDummyTrees;
Float_t * pho_r9_cic;
std::string cicVersion;
bool usePFCiC;
std::vector<TTree*> Trees;
std::vector<TTree*> LumiTrees;
std::vector<TFile*> Files;
std::vector<TTree*> TreesPar;
TTree * outputTree;
TTree * outputTreeLumi;
TTree * outputTreePar;
TTree * plotvartree;
TTree * inputfiletree;
std::vector<TH1*> globalHistos;
void AddGlobalHisto(TH1 * x ) { x->SetDirectory(0); globalHistos.push_back(x); }
TH1D * pileup;
TFile * outputFile;
TString outputFileName;
TString histFileName;
std::string outputTextFileName;
Int_t makeOutputTree;
char inputFilesName[1024];
char countersName[1024];
enum runtypes { kFill=0, kReduce=1, kFillReduce=2 };
Int_t typerun;
Int_t typeread;
std::map<int,int> type2HistVal;
Int_t current; //current file
Int_t current_sample_index; //current file
// global parameters
Int_t tot_events, sel_events, type, version, reductions;
bool createCS_;
float diPhotonBDTOutput;
std::vector<std::string> globalCountersNames;
std::vector<int> globalCounters;
std::vector<int> fileGlobalCounters;
Int_t outputParTot_Events, outputParSel_Events, outputParType, outputParVersion, outputParReductions, outputParRed_Events[20];
std::vector<std::string>* outputParParameters;
std::string* outputParJobMaker;
Int_t currentindexfiles;
std::vector<Float_t> counters;
std::vector<Float_t> countersred;
TFile *hfile;
Int_t outputEvents;
void Loop(Int_t);
void WriteHist();
void WriteFits();
void WriteCounters();
int FillAndReduce(int);
//void BookHistos();
void AddCut(char*,int,int,int,float*,float*);
void InitCounters();
void AddCounter(int, const char*, const char*, const char*, const char*);
int ApplyCut(int, float, int);
int ApplyCut(std::string, float, int);
void FillCutPlots(int icat, int cutset, std::string postfix, float histweight, float countweight);
void myPrintCounters();
void myPrintCountersNew();
virtual void BookHisto(int, int, int, int, int, int,
float, float, float, float, const char*,
const char* xaxis="", const char* yaxis="");
// Cut down (flat) trees for MVA Training
void InitTrees(std::string);
void BookTreeBranch(std::string name, int type, std::string dirName="");
template <class T> void BookExternalTreeBranch(const char * name, T* addr, std::string dirName) {
for(unsigned int ind=0; ind<treeContainer[dirName].size(); ind++) {
treeContainer[dirName][ind].AddExternalBranch<T>(name,addr);
}
}
template <class T> void BookExternalTreeBranch(const char * name, T* addr, const char * type, std::string dirName) {
for(unsigned int ind=0; ind<treeContainer[dirName].size(); ind++) {
treeContainer[dirName][ind].AddExternalBranch<T>(name,addr,type);
}
}
template <class T> void BookExternalTreeBranch(const char * name, T* addr, int bufsize, int splitlevel, std::string dirName) {
for(unsigned int ind=0; ind<treeContainer[dirName].size(); ind++) {
treeContainer[dirName][ind].AddExternalBranch<T>(name,addr,bufsize,splitlevel);
}
}
void FillTreeContainer(std::string dir="");
void FillTree(std::string name, float x, std::string dirName="");
void FillTree(std::string name, double x, std::string dirName="");
void FillTree(std::string name, int x, std::string dirName="");
void FillTree(std::string name, unsigned int x, std::string dirName="");
void FillTree(std::string name, std::string x, std::string dirName="");
void FillTree(std::string name, bool x, std::string dirName="");
void WritePI();
void AddCut2(char*, int, int, int, float*, float*, int, int, int, float, float, char*, char*);
int ApplyCut(int icut, int icat);
int ApplyCut(TString cutname, int icat);
float GetCutValue(TString cutname, int icat, int highcut=0);
//int ApplyCut(int icut, float var, int icat);
//int ApplyCut(TString cutname, float var, int icat);
//DON'T USE THE FOLLOWING ONE, IT MAY BE CONFUSING
int ApplyCut(int icut, int * passcategory); //returns the number of categories
//DON'T USE THE FOLLOWING ONE, IT MAY BE CONFUSING
int ApplyCut(TString cutname, int * passcategory); //returns the number of categories
int ApplyCutsFill(int icat, int cutset, int & ncutsapplied, int & ncutspassed, int & ncutsfailed, float histweight=1.0, float countweight=1.0);
int ApplyCuts(int icat, int cutset, int & ncutsapplied, int & ncutspassed, int & ncutsfailed);
int ApplyCutsFill(int icat, int cutset, float histweight=1.0, float countweight=1.0);
int ApplyCuts(int icat, int cutset);
//DON'T USE THE FOLLOWING ONE, IT MAY BE CONFUSING
int ApplyCuts(int cutset, int * passcategory, int * ncutsapplied, int * ncutspassed, int * ncutsfailed); //returns the number of categories
//DON'T USE THE FOLLOWING ONE, IT MAY BE CONFUSING
int ApplyCuts(int cutset, int * passcategory); //returns the number of categories
int SetCutVariables(int i, float * variables);
int SetCutVariables(TString cutname, float * variables);
void FillHist(std::string, float);
void FillHist2D(std::string, float, float);
void FillHist(std::string, int, float, float wt = 1.0);
void FillHist2D(std::string, int, float, float, float wt = 1.0);
void FillCounter(std::string name, float weight=1., int cat=0);
BaseAnalysis* AddAnalysis(BaseAnalysis*);
template<class T> T * GetAnalysis( const std::string & name ) {
std::vector<BaseAnalysis*>::iterator it=find( analyses.begin(), analyses.end(), name);
if( it != analyses.end() ) { return dynamic_cast<T*>( *it ); }
return 0;
}
/// void SkimBranch(const std::string & name) { skimBranchNames.insert(name); };
void InputBranch(const std::string & name, int typ) { inputBranchNames.insert(std::pair<std::string,int>(name,typ)); };
void OutputBranch(const std::string & name) { if( find(outputBranchNames.begin(), outputBranchNames.end(), name)==outputBranchNames.end() ) { outputBranchNames.push_back(name); } };
void GetBranches(std::map<std::string,int> & names, std::set<TBranch *> & branches);
void SetBranchAddresses(std::map<std::string,int> & names);
void Branches(std::list<std::string> & names);
void GetEntry(std::set<TBranch *> & branches, int jentry);
bool CheckLumiSelection( int run, int lumi );
bool CheckEventList( int run, int lumi, int event );
void StoreConfigFile(std::string);
#ifndef __CINT__
typedef void (LoopAll::*branch_io_t) (TTree *);
struct branch_info_t {
branch_info_t(TBranch ** b=0, branch_io_t r=0, branch_io_t w=0 ) :
branch(b), read(r), write(w)
{};
TBranch ** branch;
branch_io_t read, write;
};
typedef std::map<std::string, branch_info_t> dict_t;
dict_t branchDict;
#endif
//// std::set<std::string> skimBranchNames;
//// std::set<TBranch *> skimBranches;
std::map<std::string,int> inputBranchNames;
std::set<TBranch *> inputBranches;
std::list<std::string> outputBranchNames;
/** list of the analyses to be performed */
std::vector<BaseAnalysis*> analyses;
float pfTkIsoWithVertex(int phoindex, int vtxInd, float dRmax, float dRvetoBarrel, float dRvetoEndcap, float ptMin, float dzMax, float dxyMax, int pfToUse=1);
float pfEcalIso(int phoindex, float dRmax, float dRVetoBarrel, float dRVetoEndcap, float etaStripBarrel, float etaStripEndcap,
float thrBarrel, float thrEndcaps, int pfToUse=4);
RooFuncReader *funcReader_dipho_MIT;
TMVA::Reader *tmvaReaderID_UCSD, * tmvaReader_dipho_UCSD;
TMVA::Reader *tmvaReaderID_MIT_Barrel, *tmvaReaderID_MIT_Endcap;
TMVA::Reader *tmvaReader_dipho_MIT;
TMVA::Reader *tmvaReaderID_Single_Barrel, *tmvaReaderID_Single_Endcap;
TMVA::Reader *tmvaReaderID_2013_Barrel, *tmvaReaderID_2013_Endcap;
TMVA::Reader *tmvaReaderID_2013_7TeV_MIT_Barrel, *tmvaReaderID_2013_7TeV_MIT_Endcap;
Float_t photonIDMVA(Int_t, Int_t, TLorentzVector &, const char*);
Float_t tmva_photonid_pfchargedisogood03;
Float_t tmva_photonid_pfchargedisobad03;
Float_t tmva_photonid_pfphotoniso03;
Float_t tmva_photonid_pfneutraliso03;
Float_t tmva_photonid_sieie;
Float_t tmva_photonid_sieip;
Float_t tmva_photonid_etawidth;
Float_t tmva_photonid_phiwidth;
Float_t tmva_photonid_r9;
Float_t tmva_photonid_scrawe;
Float_t tmva_photonid_s4ratio;
Float_t tmva_photonid_lambdaratio;
Float_t tmva_photonid_sceta;
Float_t tmva_photonid_eventrho;
Float_t tmva_photonid_ESEffSigmaRR;
Float_t tmva_id_ucsd_sieie;
Float_t tmva_id_ucsd_goodpf_iso;
Float_t tmva_id_ucsd_badpf_iso;
Float_t tmva_id_ucsd_drtotk;
Float_t tmva_id_ucsd_hoe;
Float_t tmva_id_ucsd_tkisopf;
Float_t tmva_id_ucsd_r9;
Float_t tmva_id_ucsd_ptom;
Float_t tmva_id_ucsd_eta;
Float_t tmva_id_ucsd_isLeading;
Float_t tmva_dipho_UCSD_subleadptomass;
Float_t tmva_dipho_UCSD_diphoptom;
Float_t tmva_dipho_UCSD_sumptom;
Float_t tmva_dipho_UCSD_subleadmva;
Float_t tmva_dipho_UCSD_leadmva;
Float_t tmva_dipho_UCSD_leadeta;
Float_t tmva_dipho_UCSD_subleadeta;
Float_t tmva_dipho_UCSD_leadr9;
Float_t tmva_dipho_UCSD_subleadr9;
Float_t tmva_dipho_UCSD_dmom;
Float_t tmva_dipho_UCSD_diphocat2r92eta;
Float_t tmva_id_mit_hoe;
Float_t tmva_id_mit_sieie;
Float_t tmva_id_mit_tiso1;
Float_t tmva_id_mit_tiso3;
Float_t tmva_id_mit_tiso2;
Float_t tmva_id_mit_r9;
Float_t tmva_id_mit_ecal;
Float_t tmva_id_mit_hcal;
Float_t tmva_id_mit_e5x5;
Float_t tmva_id_mit_etawidth;
Float_t tmva_id_mit_phiwidth;
Float_t tmva_id_mit_sieip;
Float_t tmva_id_mit_sipip;
Float_t tmva_id_mit_nvtx;
Float_t tmva_id_mit_sceta;
Float_t tmva_id_mit_preshower;
std::vector<Float_t> tmva_dipho_MIT_buf;
std::map<int,std::vector<Float_t> > tmva_dipho_MIT_cache;
Float_t *tmva_dipho_MIT_dmom;
Float_t *tmva_dipho_MIT_dmom_wrong_vtx;
Float_t *tmva_dipho_MIT_vtxprob;
Float_t *tmva_dipho_MIT_ptom1;
Float_t *tmva_dipho_MIT_ptom2;
Float_t *tmva_dipho_MIT_eta1;
Float_t *tmva_dipho_MIT_eta2;
Float_t *tmva_dipho_MIT_dphi;
Float_t *tmva_dipho_MIT_ph1mva;
Float_t *tmva_dipho_MIT_ph2mva;
void GlobeCtIsol(int, TLorentzVector*, float, float, float, Int_t&, Float_t&, Float_t&, Float_t&, Float_t&);
int GlobeMatchIsl(TLorentzVector*, Float_t&);
enum eIDLevel {UltraLoose, VeryLoose, Loose, Medium, Tight, SuperTight, HyperTight1, HyperTight2, HyperTight3, HyperTight4, Robust};
int ElectronClassification(int);
std::pair<bool, bool> ElectronId(int, eIDLevel);
void eIDInfo(Int_t, Int_t&, Int_t&,Int_t eIDMaxLevel=10);
Float_t sipCalculator(int);
// Match the Photon with the merged collection of conversions
PhotonInfo fillPhotonInfos(int p1, int useAllConvs=2, float * energy=0);
int matchPhotonToConversion(int lpho, int useAllConvs=2);
double phiNorm (float &phi);
double etaTransformation( float EtaParticle , float Zvertex);
vector<double> generate_flat10_weights(TH1D* data_npu_estimated);
//----------------------------------------
// Vertex analysis
//----------------------------------------
void vertexAnalysis(HggVertexAnalyzer & vtxAna, PhotonInfo pho1, PhotonInfo pho2);
//std::vector<int> vertexSelection(HggVertexAnalyzer & vtxAna, HggVertexFromConversions & vtxAnaFromConv, int p1, int p2, std::vector<std::string> & vtxVarNames);
/** @return the indices of the vertices ranked by some algorithm */
std::vector<int> vertexSelection(HggVertexAnalyzer & vtxAna, HggVertexFromConversions & vtxAnaFromConv, PhotonInfo & pho1, PhotonInfo & pho2,
std::vector<std::string> & vtxVarNames,
bool useMva=false, TMVA::Reader * reader=0, std::string tmvaMethod="");
//----------------------------------------
bool FindMCLeptons(int index, int& mc1, int& mc2, int& pho, int leptonType=11);
bool FindMCHiggsPhotons(int& higgsind, int& mc1, int& mc2, int& i1, int& i2 );
bool FindMCVBF(int higgsind, int& vbfq1, int& vbfq2 );
bool FindMCVH(int higgsind, int& vh, int& vh1, int& vh2 );
TLorentzVector GetHiggs()
{
TLorentzVector gP4(0,0,0,0);
assert(gh_higgs_p4 != 0 || gp_p4 != 0);
if( gh_higgs_p4 != 0 && gh_higgs_p4->At(0) != 0 ) {
gP4 = *((TLorentzVector*)gh_higgs_p4->At(0));
} else {
for (int gi=0;gi<gp_n;gi++){
if (gp_pdgid[gi]==25){
gP4 = *((TLorentzVector*)gp_p4->At(gi));
break;
}
}
}
return gP4;
};
/** @return the photon four momentum calculated with respect to the given interaction vertex (??) */
TLorentzVector get_pho_p4(int ipho, int ivtx, const float *pho_energy_array=0) const ;
TLorentzVector get_pho_p4(int ipho, TVector3 * vtx, const float * energy=0) const ;
void set_pho_p4(int ipho, int ivtx, float *pho_energy_array=0);
double get_pho_zposfromconv(TVector3 convvtx, TVector3 superclustervtx, TVector3 beamSpot);
// end vertex analysis
void FillCICPFInputs();
void FillCICInputs();
void FillCIC();
// CiC SELECTION CODE BEGIN - SSIMON
// defines photon CiC ID cuts for all cut levels
enum phoCiCIDLevel { phoNOCUTS=0, phoLOOSE, phoMEDIUM, phoTIGHT, phoSUPERTIGHT, phoHYPERTIGHT1, phoHYPERTIGHT2, phoHYPERTIGHT3, phoHYPERTIGHT4, phoHYPERTIGHT5, phoHYPERTIGHT6, phoHYPERTIGHT7, phoHYPERTIGHT8, phoHYPERTIGHT9, phoNCUTLEVELS };
enum phoCiCCuts { phoISOSUMOET=0, phoISOSUMOETBAD, phoTRKISOOETOM, phoSIEIE, phoHOVERE, phoR9, phoDRTOTK_25_99, phoPIXEL, phoNCUTS };
enum phoCiC6Categories { phoCiC6EBhighR9=0, phoCiC6EBmidR9, phoCiC6EBlowR9, phoCiC6EEhighR9, phoCiC6EEmidR9, phoCiC6EElowR9, phoCiC6NCATEGORIES };
enum phoCiC4Categories { phoCiC4EBhighR9=0, phoCiC4EBlowR9, phoCiC4EEhighR9, phoCiC4EElowR9, phoCiC4NCATEGORIES };
/** @param cutlevel (input) is the required level of the cuts (e.g. phoSUPERTIGHT)
@param cic6_cuts_lead (output) will be filled with the CIC6 cut values for the LEADING photon
@param cic6_cuts_sublead, (output) will be filled with the CIC6 cut values for the SUBLEADING photon
@param cic4_cuts_lead (output) will be filled with the CIC4 cut values for the LEADING photon
@param cic4_cuts_sublead (output) will be filled with the CIC4 cut values for the SUBLEADING photon
*/
void SetPhotonCutsInCategories(phoCiCIDLevel cutlevel, float * cic6_cuts_lead, float * cic6_cuts_sublead, float * cic4_cuts_lead, float * cic4_cuts_sublead, float*, float*);
//----------------------------------------------------------------------
// cut values for cuts in categories selection
//
// first index is the level ('tightness') of the selection,
// second index is the category index.
//
// See LoopAll::SetPhotonCutsInCategories(..) in GeneralFunctions_cc.h
// for the actual values.
// initialized in PhotonAnalysis::Init(..)
//
// The (highest) level of selection which a photon passes is
// calculated in LoopAll::PhotonCiCSelectionLevel(..)
//----------------------------------------------------------------------
// 6 categories
// leading photon
float cic6_cut_lead_isosumoet[phoNCUTLEVELS][6];
float cic6_cut_lead_isosumoetbad[phoNCUTLEVELS][6];
float cic6_cut_lead_trkisooet[phoNCUTLEVELS][6];
float cic6_cut_lead_sieie[phoNCUTLEVELS][6];
float cic6_cut_lead_hovere[phoNCUTLEVELS][6];
float cic6_cut_lead_r9[phoNCUTLEVELS][6];
float cic6_cut_lead_drtotk_25_99[phoNCUTLEVELS][6];
float cic6_cut_lead_pixel[phoNCUTLEVELS][6];
// subleading photon
float cic6_cut_sublead_isosumoet[phoNCUTLEVELS][6];
float cic6_cut_sublead_isosumoetbad[phoNCUTLEVELS][6];
float cic6_cut_sublead_trkisooet[phoNCUTLEVELS][6];
float cic6_cut_sublead_sieie[phoNCUTLEVELS][6];
float cic6_cut_sublead_hovere[phoNCUTLEVELS][6];
float cic6_cut_sublead_r9[phoNCUTLEVELS][6];
float cic6_cut_sublead_drtotk_25_99[phoNCUTLEVELS][6];
float cic6_cut_sublead_pixel[phoNCUTLEVELS][6];
// 4 categories
// leading photon
float cic4_cut_lead_isosumoet[phoNCUTLEVELS][4];
float cic4_cut_lead_isosumoetbad[phoNCUTLEVELS][4];
float cic4_cut_lead_trkisooet[phoNCUTLEVELS][4];
float cic4_cut_lead_sieie[phoNCUTLEVELS][4];
float cic4_cut_lead_hovere[phoNCUTLEVELS][4];
float cic4_cut_lead_r9[phoNCUTLEVELS][4];
float cic4_cut_lead_drtotk_25_99[phoNCUTLEVELS][4];
float cic4_cut_lead_pixel[phoNCUTLEVELS][4];
// subleading photon
float cic4_cut_sublead_isosumoet[phoNCUTLEVELS][4];
float cic4_cut_sublead_isosumoetbad[phoNCUTLEVELS][4];
float cic4_cut_sublead_trkisooet[phoNCUTLEVELS][4];
float cic4_cut_sublead_sieie[phoNCUTLEVELS][4];
float cic4_cut_sublead_hovere[phoNCUTLEVELS][4];
float cic4_cut_sublead_r9[phoNCUTLEVELS][4];
float cic4_cut_sublead_drtotk_25_99[phoNCUTLEVELS][4];
float cic4_cut_sublead_pixel[phoNCUTLEVELS][4];
float pfisoOffset;
// leading photon
float cic4pf_cut_lead_isosumoet[phoNCUTLEVELS][4];
float cic4pf_cut_lead_isosumoetbad[phoNCUTLEVELS][4];
float cic4pf_cut_lead_trkisooet[phoNCUTLEVELS][4];
float cic4pf_cut_lead_sieie[phoNCUTLEVELS][4];
float cic4pf_cut_lead_hovere[phoNCUTLEVELS][4];
float cic4pf_cut_lead_r9[phoNCUTLEVELS][4];
float cic4pf_cut_lead_drtotk_25_99[phoNCUTLEVELS][4];
float cic4pf_cut_lead_pixel[phoNCUTLEVELS][4];
// subleading photon
float cic4pf_cut_sublead_isosumoet[phoNCUTLEVELS][4];
float cic4pf_cut_sublead_isosumoetbad[phoNCUTLEVELS][4];
float cic4pf_cut_sublead_trkisooet[phoNCUTLEVELS][4];
float cic4pf_cut_sublead_sieie[phoNCUTLEVELS][4];
float cic4pf_cut_sublead_hovere[phoNCUTLEVELS][4];
float cic4pf_cut_sublead_r9[phoNCUTLEVELS][4];
float cic4pf_cut_sublead_drtotk_25_99[phoNCUTLEVELS][4];
float cic4pf_cut_sublead_pixel[phoNCUTLEVELS][4];
//----------------------------------------------------------------------
/** loops through photons and returns indices to two photons passing desired selection .
if more than one diphoton passes, returns pair with highest lead photon pt, or if lead is same, with highest sublead pt. */
int DiphotonCiCSelection( phoCiCIDLevel LEADCUTLEVEL = phoLOOSE,
phoCiCIDLevel SUBLEADCUTLEVEL = phoLOOSE,
Float_t leadPtMin = 30,
Float_t subleadPtMin = 20,
int ncategories=6,
bool applyPtoverM=false,
float *pho_energy_array=0,
bool split=false, int fixedvtx=-1, std::vector<bool> veto_indices=std::vector<bool>(false),
std::vector<int> cutsbycat=std::vector<int>(0));
int DiphotonMITPreSelection(const char * type, Float_t leadPtMin, Float_t subleadPtMin, Float_t phoidMvaCut, bool applyPtoverM, float *pho_energy_array=0, bool vetodipho=false, bool kinonly=false, float dipho_BDT_Cut=-100,int fixedvtx=-1, bool split=false, std::vector<bool> veto_indices=std::vector<bool>(false));
float DiphotonMITPreSelectionPerDipho(const char * type, int idipho, Float_t leadPtMin, Float_t subleadPtMin, Float_t phoidMvaCut, bool applyPtoverM, float *pho_energy_array=0, int fixedvtx=-1, bool split=false, bool kinonly=false, std::vector<bool> veto_indices=std::vector<bool>(false));
int DiphotonMITPreSelection2011(Float_t leadPtMin, Float_t subleadPtMin, Float_t phoidMvaCut, bool applyPtoverM, float *pho_energy_array=0, bool kinonly=false);
/** for a photon index, applies all levels of cuts and returns the
index to the highest cut level passed (can do lead and sublead -
same for now). This should be compared to one of the phoCiCIDLevel
enum constants (e.g. phoSUPERTIGHT).
@param ph_passcut will contain flags which cuts the given photon
passes. The first index is the level of the selection
looked at, the second index is the index of the cut.
Will be automatically resized.
@param doSublead zero, if the cuts for the leading photon
should be applied, non-zero if the cuts for the
subleading photon should be applied.
*/
int PhotonCiCPFSelectionLevel( int photon_index, int vertex_index, std::vector<std::vector<bool> > & ph_passcut, int ncategories=6, int doSublead=1, float *pho_energy_array=0);
int PhotonCiCSelectionLevel( int photon_index, int vertex_index, std::vector<std::vector<bool> > & ph_passcut, int ncategories=6, int doSublead=1, float *pho_energy_array=0);
bool PhotonMITPreSelection( int photon_index, int vertex_index,float *pho_energy_array=0);
bool PhotonMITPreSelection2011( int photon_index, int vertex_index,float *pho_energy_array=0);
// Functions to calculate variables used in CiC selection
Float_t DeltaRToTrack(Int_t photon_ind=-1, Int_t vtxind=-1, Float_t PtMin=1., Float_t dzmax=0.2, Float_t dxymax=0.1, int maxlosthits=0);
Float_t IsoEcalHitsSumEtNumCrystal( TVector3 *calopos, Float_t innerConeDR, Float_t outerConeDR, Float_t stripEtaHalfWidth, Float_t stripHalfLength=99.);
std::pair<Int_t, Float_t> WorstSumTrackPtInCone(int ipho, Int_t returnVtxIndex=0, Float_t PtMin=0, Float_t OuterConeRadius=0.3, Float_t InnerConeRadius=0.04, Float_t EtaStripHalfWidth=0.015, Float_t dzmax=0.2, Float_t dxymax=0.1, bool Zee_validation=false);
Float_t SumTrackPtInCone(TLorentzVector *photon_p4, Int_t vtxind, Float_t PtMin=0, Float_t OuterConeRadius=0.3, Float_t InnerConeRadius=0.04, Float_t EtaStripHalfWidth=0.015, Float_t dzmax=0.2, Float_t dxymax=0.1, bool Zee_validation=false, Int_t pho_ind=-1);
//----------------------------------------------------------------------
/** photon category functions (r9 and eta) */
int PhotonCategory(int photonindex, int n_r9cat=3, int n_etacat=2) {
// example: n_r9cat = 2 and n_etacat = 2
// -> return value 0 high R9, barrel
// 1 low R9, barrel
// 2 high R9, endcap
// 3 low R9, endcap
return PhotonR9Category(photonindex,n_r9cat) + n_r9cat * PhotonEtaCategory(photonindex,n_etacat);
}
//----------------------------------------------------------------------
/** @return the photon R9 category number */
Int_t PhotonR9Category(int photonindex, int n_r9cat=3, float r9boundary=0.94) {
if(photonindex < 0) return -1;
if(n_r9cat<2)return 0;
int r9cat=0;
float r9 = pho_r9_cic[photonindex];
if(n_r9cat==3) {
r9cat = (Int_t)(r9<0.94) + (r9<0.9);// 0, 1, or 2 (high r9 --> low r9)
} else if(n_r9cat==2) {
r9cat = (Int_t)(r9<r9boundary);// 0, 1(high r9 --> low r9)
}
return r9cat;
}
//----------------------------------------------------------------------
/** @return the photon eta category number */
int PhotonEtaCategory(int photonindex, int n_etacat=4) {
if(photonindex < 0) return -1;
if(n_etacat<2)return 0;
int etacat;
// Float_t eta = fabs(((TVector3*)pho_calopos->At(photonindex))->Eta());
Float_t eta = fabs(((TVector3*)sc_xyz->At(pho_scind[photonindex]))->Eta());
if(n_etacat==4) {
etacat = (Int_t)(eta>0.9) + (Int_t)(eta>1.479) + (Int_t)(eta>2.1); // 0, 1, 2, or 3 (barrel --> endcap)
} else if(n_etacat==2) {
etacat = (Int_t)(eta>1.479); // 0, 1 (barrel --> endcap)
}
return etacat;
}
//----------------------------------------------------------------------
//diphoton category functions ( r9, eta, and diphoton pt)
int DiphotonCategory(Int_t leadind, Int_t subleadind, float pTh, float pToMh, int n_etacat=4,int n_r9cat=3, float r9boundary=0.94, int n_pThcat=0, int n_pToMhcat=0, int nVtxCategories=0, int nvtx=0, float vtxMva=-1.) {
Int_t r9cat = TMath::Max(PhotonR9Category(leadind,n_r9cat,r9boundary),PhotonR9Category(subleadind,n_r9cat,r9boundary));
Int_t etacat = TMath::Max(PhotonEtaCategory(leadind,n_etacat),PhotonEtaCategory(subleadind,n_etacat));
Int_t pThcat = DiphotonPtCategory(pTh,n_pThcat);
Int_t pToMhcat = DiphotonPtOverMCategory(pToMh,n_pToMhcat);
Int_t vtxCat = DiphotonVtxCategory(nVtxCategories,nvtx);
return (r9cat + n_r9cat*etacat + (n_r9cat*n_etacat)*pThcat) + (n_r9cat*n_etacat*(n_pThcat>0?n_pThcat:1))*pToMhcat + (n_r9cat*n_etacat*(n_pThcat>0?n_pThcat:1)*(n_pToMhcat>0?n_pToMhcat:1))*vtxCat; // (n_r9cat*c_etacat*n_pThcat) categories
}
//----------------------------------------------------------------------
int DijetSubCategory(float mjj, float leadPt, float subledPt, float ncat)
{
if( ncat == 1 ) { return 0; }
return ( mjj < 500. || subledPt < 30. );
}
//----------------------------------------------------------------------
int DiphotonVtxCategory(int nVtxCategories, int nvtx)
{
int cat=0;
if(nVtxCategories==3) {
cat = (Int_t)(nvtx > 18) + (Int_t)(nvtx > 13);
} else if (nVtxCategories==2) {
cat = (Int_t)(nvtx > 15);
}
/// cout << "DiphotonVtxCategory " << cat << " " << vtxMva << " " << nVtxCategories << endl;
return cat;
}
int DiphotonVtxCategory(float vtxMva, int nVtxCategories)
{
int cat=0;
if(nVtxCategories==2) {
cat = (Int_t)(vtxMva > -0.8);
} else if (nVtxCategories>0) {
cat = (Int_t)(vtxMva > -0.8) + (Int_t)(vtxMva > -0.55);
}
/// cout << "DiphotonVtxCategory " << cat << " " << vtxMva << " " << nVtxCategories << endl;
return cat;
}
int DiphotonPtCategory(double pTh, int n_pThcat=0) {
if(n_pThcat<2)return 0;
int pThcat=0;
if(n_pThcat == 2) {
pThcat = (Int_t)(pTh < 40.);
} else if (n_pThcat == 3) {
pThcat = (Int_t)((pTh < 70.) + (pTh < 40.));
}
return pThcat;
}
int DiphotonPtOverMCategory(double pToMh, int n_pToMhcat=0) {
if(n_pToMhcat<2) return 0;
int pToMhcat=0;
if(n_pToMhcat == 2) {
pToMhcat = (Int_t)(pToMh < 40./125.);
} else if (n_pToMhcat == 3) {
pToMhcat = (Int_t)((pToMh < 70./125.) + (pToMh < 40./125.));
}
return pToMhcat;
}
// CiC SELECTION CODE END - SSIMON
// Functions movec from Tools.h
double DeltaPhi(double,double);
///
/// Missing and addition branches
///
// Higgs and company
Int_t gh_gen2reco1;
Int_t gh_gen2reco2;
Int_t gh_vbfq1_pdgid;
Int_t gh_vbfq2_pdgid;
Int_t gh_vh_pdgid;
Int_t gh_vh1_pdgid;
Int_t gh_vh2_pdgid;
TClonesArray *gh_higgs_p4;
TClonesArray *gh_pho1_p4;
TClonesArray *gh_pho2_p4;
TClonesArray *gh_vbfq1_p4;
TClonesArray *gh_vbfq2_p4;
TClonesArray *gh_vh1_p4;
TClonesArray *gh_vh2_p4;
//TClonesArray *METcorrected; //met at analysis step
Float_t rho;
Int_t gv_n;
TClonesArray * gv_pos;
Int_t pu_n;
std::vector<float> * pu_zpos;
std::vector<float> * pu_sumpt_lowpt;
std::vector<float> * pu_sumpt_highpt;
std::vector<int> * pu_ntrks_lowpt;
std::vector<int> * pu_ntrks_highpt;
bool pho_idmva_cached;
float pho_idmva[MAX_PHOTONS][MAX_VERTICES];
#define MAX_DIPHOTONS 50
Int_t dipho_n;
Int_t dipho_leadind[MAX_DIPHOTONS];
Int_t dipho_subleadind[MAX_DIPHOTONS];
Int_t dipho_vtxind[MAX_DIPHOTONS];
Float_t dipho_sumpt[MAX_DIPHOTONS];
Bool_t dipho_sel[MAX_DIPHOTONS];
Float_t dipho_BDT[MAX_DIPHOTONS];
Bool_t pho_genmatched[MAX_PHOTONS];
Float_t pho_regr_energy_otf[MAX_PHOTONS];
Float_t pho_regr_energyerr_otf[MAX_PHOTONS];
Float_t pho_ESEffSigmaRR[MAX_PHOTONS];
Float_t pho_s4ratio[MAX_PHOTONS];
//// Float_t dipho_leadet[MAX_DIPHOTONS];
//// Float_t dipho_subleadet[MAX_DIPHOTONS];
//// Float_t dipho_leadeta[MAX_DIPHOTONS];
//// Float_t dipho_subleadeta[MAX_DIPHOTONS];
//// Int_t dipho_leadci6cindex[MAX_DIPHOTONS];
//// Int_t dipho_subleadci6cindex[MAX_DIPHOTONS];
//// Int_t dipho_leadci4cindex[MAX_DIPHOTONS];
//// Int_t dipho_subleadci4cindex[MAX_DIPHOTONS];
//// Float_t dipho_mass[MAX_DIPHOTONS];
//// Float_t dipho_pt[MAX_DIPHOTONS];
//// Float_t dipho_eta[MAX_DIPHOTONS];
//// Float_t dipho_phi[MAX_DIPHOTONS];
//// Float_t dipho_cts[MAX_DIPHOTONS];
//correctMETinRED
Float_t shiftMET_pt;
Float_t shiftMET_phi;
Float_t smearMET_pt;
Float_t smearMET_phi;
Float_t shiftscaleMET_pt;
Float_t shiftscaleMET_phi;
Float_t shiftsmearMET_pt;
Float_t shiftsmearMET_phi;
Float_t correctedpfMET;
Float_t correctedpfMET_phi;
Float_t shiftMET_eta;
Float_t shiftMET_e;
Float_t shiftscaleMET_eta;
Float_t shiftscaleMET_e;
TBranch *b_gh_gen2reco1;
TBranch *b_gh_gen2reco2;
TBranch *b_gh_vbfq1_pdgid;
TBranch *b_gh_vbfq2_pdgid;
TBranch *b_gh_vh_pdgid;
TBranch *b_gh_vh1_pdgid;
TBranch *b_gh_vh2_pdgid;
//TBranch *b_METcorrected; //met at analysis step
TBranch *b_gh_higgs_p4;
TBranch *b_gh_pho1_p4;
TBranch *b_gh_pho2_p4;
TBranch *b_gh_vbfq1_p4;
TBranch *b_gh_vbfq2_p4;
TBranch *b_gh_vh1_p4;
TBranch *b_gh_vh2_p4;
TBranch * b_dipho_n;
TBranch * b_dipho_leadind;
TBranch * b_dipho_subleadind;
TBranch * b_dipho_vtxind;
TBranch * b_dipho_sumpt;
TBranch * b_pho_genmatched;
TBranch * b_pho_regr_energy_otf;
TBranch * b_pho_regr_energyerr_otf;
//// TBranch * b_dipho_leadet;
//// TBranch * b_dipho_subleadet;
//// TBranch * b_dipho_leadeta;
//// TBranch * b_dipho_subleadeta;
//// TBranch * b_dipho_leadci6cindex;
//// TBranch * b_dipho_subleadci6cindex;
//// TBranch * b_dipho_leadci4cindex;
//// TBranch * b_dipho_subleadci4cindex;
//// TBranch * b_dipho_mass;
//// TBranch * b_dipho_pt;
//// TBranch * b_dipho_eta;
//// TBranch * b_dipho_phi;
//// TBranch * b_dipho_cts;
//correctMETinRED
TBranch * b_shiftMET_pt;
TBranch * b_shiftMET_phi;
TBranch * b_smearMET_pt;
TBranch * b_smearMET_phi;
TBranch * b_shiftscaleMET_pt;
TBranch * b_shiftscaleMET_phi;
TBranch * b_shiftsmearMET_pt;
TBranch * b_shiftsmearMET_phi;
TBranch * b_correctedpfMET;
TBranch * b_correctedpfMET_phi;
TBranch * b_shiftMET_eta;
TBranch * b_shiftMET_e;
TBranch * b_shiftscaleMET_eta;
TBranch * b_shiftscaleMET_e;
//----------------------------------------
// photon and diphoton vertex selection
//----------------------------------------
/** calculated in PhotonAnalysis.cc: vertex selected
for the diphoton pair with highest sum of Pt */
int vtx_std_sel;
std::vector<int> * dipho_vtx_std_sel;
/** calculated e.g. in PhotonAnalysis.cc */
std::vector<std::vector<int> > * vtx_std_ranked_list;
std::vector<float> * vtx_std_evt_mva;
// std::vector<int> * vtx_std_ranked_list;
//----------------------------------------
// CiC inputs
std::vector<std::vector<float> >* pho_mitmva;
std::vector<std::vector<float> >* pho_tkiso_recvtx_030_002_0000_10_01;
Float_t pho_tkiso_badvtx_040_002_0000_10_01[MAX_PHOTONS];
Float_t pho_pfiso_charged_badvtx_04[MAX_PHOTONS];
Int_t pho_pfiso_charged_badvtx_id[MAX_PHOTONS];
Int_t pho_tkiso_badvtx_id[MAX_PHOTONS];
std::vector<std::vector<float> >* pho_ZeeVal_tkiso_recvtx_030_002_0000_10_01;
Float_t pho_ZeeVal_tkiso_badvtx_040_002_0000_10_01[MAX_PHOTONS];
Int_t pho_ZeeVal_tkiso_badvtx_id[MAX_PHOTONS];
Float_t pho_drtotk_25_99[MAX_PHOTONS];
bool runCiC;
/** cut levels of CIC photon identification (stored in the tree).
The first index is the index of the photon object (0..pho_n-1),
the second index is the index of the vertex (0..vtx_std_n-1)
with respect to which the id is calculated.
The contents are the return values of the function
PhotonCiCSelectionLevel(..)
*/
Int_t mu_glo_hasgsftrack[MAX_MUONS];
std::vector<std::vector<Short_t> >* pho_cic6cutlevel_lead;
std::vector<std::vector<std::vector<UInt_t> > >* pho_cic6passcuts_lead;
std::vector<std::vector<Short_t> >* pho_cic6cutlevel_sublead;
std::vector<std::vector<std::vector<UInt_t> > >* pho_cic6passcuts_sublead;
std::vector<std::vector<Short_t> >* pho_cic4cutlevel_lead;
std::vector<std::vector<std::vector<UInt_t> > >* pho_cic4passcuts_lead;
std::vector<std::vector<Short_t> >* pho_cic4cutlevel_sublead;
std::vector<std::vector<std::vector<UInt_t> > >* pho_cic4passcuts_sublead;
std::vector<std::vector<Short_t> >* pho_cic4pfcutlevel_lead;
std::vector<std::vector<std::vector<UInt_t> > >* pho_cic4pfpasscuts_lead;
std::vector<std::vector<Short_t> >* pho_cic4pfcutlevel_sublead;
std::vector<std::vector<std::vector<UInt_t> > >* pho_cic4pfpasscuts_sublead;
std::vector<std::vector<Short_t> >* pho_cutlevel_lead;
std::vector<std::vector<std::vector<UInt_t> > >* pho_passcuts_lead;
std::vector<std::vector<Short_t> >* pho_cutlevel_sublead;
std::vector<std::vector<std::vector<UInt_t> > >* pho_passcuts_sublead;
// Indices of conversions matching the photons
std::vector<int> * pho_matchingConv;
TBranch *b_pho_matchingConv;
TBranch *b_gv_n;
TBranch *b_gv_pos;
TBranch *b_pu_n;
TBranch *b_pu_zpos;
TBranch *b_pu_sumpt_lowpt;
TBranch *b_pu_sumpt_highpt;
TBranch *b_pu_ntrks_lowpt;
TBranch *b_pu_ntrks_highpt;
TBranch *b_vtx_std_sel;
TBranch *b_vtx_std_ranked_list;
TBranch *b_vtx_std_evt_mva;
TBranch * b_pho_mitmva;
TBranch * b_pho_pfiso_charged_badvtx_04;
TBranch * b_pho_pfiso_charged_badvtx_id;
TBranch * b_pho_tkiso_recvtx_030_002_0000_10_01;
TBranch * b_pho_tkiso_badvtx_040_002_0000_10_01;
TBranch * b_pho_tkiso_badvtx_id;
TBranch * b_pho_ZeeVal_tkiso_recvtx_030_002_0000_10_01;
TBranch * b_pho_ZeeVal_tkiso_badvtx_040_002_0000_10_01;
TBranch * b_pho_ZeeVal_tkiso_badvtx_id;
TBranch * b_pho_drtotk_25_99;
TBranch * b_mu_glo_hasgsftrack;
TBranch * b_pho_cic6cutlevel_lead;
TBranch * b_pho_cic6passcuts_lead;
TBranch * b_pho_cic6cutlevel_sublead;
TBranch * b_pho_cic6passcuts_sublead;
TBranch * b_pho_cic4cutlevel_lead;
TBranch * b_pho_cic4passcuts_lead;
TBranch * b_pho_cic4cutlevel_sublead;
TBranch * b_pho_cic4passcuts_sublead;
TBranch * b_pho_cic4pfcutlevel_lead;
TBranch * b_pho_cic4pfpasscuts_lead;
TBranch * b_pho_cic4pfcutlevel_sublead;
TBranch * b_pho_cic4pfpasscuts_sublead;
TBranch * b_pho_cutlevel_lead;
TBranch * b_pho_passcuts_lead;
TBranch * b_pho_cutlevel_sublead;
TBranch * b_pho_passcuts_sublead;
Float_t mc_et[MAX_ELECTRONS];
Float_t mc_eta[MAX_ELECTRONS];
Float_t mc_phi[MAX_ELECTRONS];
Float_t fsr_et[MAX_ELECTRONS];
Float_t fsr_eta[MAX_ELECTRONS];
Float_t fsr_phi[MAX_ELECTRONS];
TLorentzVector* higgs;
TBranch* b_mc_et,*b_mc_eta, *b_mc_phi, *b_higgs, *b_fsr_et, *b_fsr_eta, *b_fsr_phi;
void DefineUserBranches();
void Branch_mc_et(TTree* tree) { tree->Branch("mc_et", &mc_et, "mc_et[100]/F"); };
void Branch_mc_eta(TTree* tree) { tree->Branch("mc_eta", &mc_eta, "mc_eta[100]/F"); };
void Branch_mc_phi(TTree* tree) { tree->Branch("mc_phi", &mc_phi, "mc_phi[100]/F"); };
void Branch_fsr_et(TTree* tree) { tree->Branch("fsr_et", &fsr_et, "fsr_et[100]/F"); };
void Branch_fsr_eta(TTree* tree) { tree->Branch("fsr_eta", &fsr_eta, "fsr_eta[100]/F"); };
void Branch_fsr_phi(TTree* tree) { tree->Branch("fsr_phi", &fsr_phi, "fsr_phi[100]/F"); };
void Branch_higgs(TTree* tree) { tree->Branch("higgs", "TLorentzVector", &higgs, 32000, 0); };
void SetBranchAddress_mc_et(TTree * tree) { tree->SetBranchAddress("mc_et", &mc_et, &b_mc_et); };
void SetBranchAddress_mc_eta(TTree * tree) { tree->SetBranchAddress("mc_eta", &mc_eta, &b_mc_eta); };
void SetBranchAddress_mc_phi(TTree * tree) { tree->SetBranchAddress("mc_phi", &mc_phi, &b_mc_phi); };
void SetBranchAddress_fsr_et(TTree * tree) { tree->SetBranchAddress("fsr_et", &fsr_et, &b_fsr_et); };
void SetBranchAddress_fsr_eta(TTree * tree) { tree->SetBranchAddress("fsr_eta", &fsr_eta, &b_fsr_eta); };