Variable names
Here are the definitions of the variable names as used in the analysis code and in the ntuples.
| variable name | ntuple branchname | type | description |
|---|---|---|---|
| runNumber | runNumber | int | run identifier |
| eventNumber | eventNumber | int | event identifier |
| channelNumber | int | Data sample ID eg WW sample 105985 | |
| mcWeight | mcWeight | float | weight of a simulated event |
| pvxp_n | pvxp_n | int | number of primary vertices |
| vxp_z | vxp_z | float | z-position of the primary vertex |
| SF_PILEUP | scaleFactor_PILEUP | float | scalefactor for pileup reweighting. It effectively reweights the profile of average interactions per bunch crossing so that simulated data is the same as measured data. |
| SF_Ele | scaleFactor_ELE | float | scalefactor for electron efficiency |
| SF_Mu | scaleFactor_MUON | float | scalefactor for muon efficiency |
| SF_BTag | scaleFactor_BTAG | float | scalefactor for btagging algorithm. Should only be applied if analysis is specifically using b-tagging. |
| SF_Trigger | scaleFactor_TRIGGER | float | scalefactor to account for the different operating efficiencies of the used triggers. |
| SF_JVF | scaleFactor_JVFSF | float | scalefactor for jet vertex fraction. |
| SF_ZVertex | scaleFactor_ZVERTEX | float | scalefactor to reweight the distribution of the z position of the primary vertex. |
| trigE | trigE | bool | boolean whether a standard trigger has fired in the egamma stream |
| trigM | trigM | bool | boolean whether a standard trigger has fired in the muon stream |
| passGRL | passGRL | bool | signifies whether event passes the Good Run List may be put in isGoodEvent |
| hasGoodVertex | hasGoodVertex | bool | signifies whether the event has at least one good vertex where Ntracks > 4 |
| Lep_n | lep_n | int | number of preselected leptons |
| lep_truthMatched | vector<.bool> | boolean indicating whether the lepton is matched to a simulated lepton | |
| Lep_trigMatch | lep_trigMatched | vector<.bool> | boolean signifying whether the lepton is the one triggering the event |
| Lep_pt | lep_pt | vector<.float> | transverse momentum of the lepton |
| Lep_eta | lep_eta | vector<.float> | pseudorapidity of the lepton |
| Lep_phi | lep_phi | vector<.float> | azimuthal angle of the lepton |
| Lep_e | lep_E | vector<.float> | energy of the lepton |
| Lep_z0 | lep_z0 | vector<.float> | z-coordinate of the track associated to the lepton wrt. the primary vertex |
| Lep_charge | lep_charge | vector<.float> | charge of the lepton |
| Lep_pdgid | lep_type | vector<.int> | number signifying the lepton type of the lepton |
| Lep_flag | lep_flag | vector<.int> | bitmask implementing object cuts |
| Lep_ptcone30 | lep_ptcone30 | vector<.float> | scalar sum of track pTs in a cone of R=0.3 around lepton, not including lepton itself |
| Lep_etcone20 | lep_etcone20 | vector<.float> | scalar sum of track ETs in a cone of R=0.2 around lepton, not including lepton ET itself |
| Lep_d0 | lep_trackd0pvunbiased | vector<.float> | d0 of the track associated to the lepton at the point of closest approach |
| Lep_d0sig | lep_tracksigd0pvunbiased | vector<.float> | d0 signifcance of the track associated to the lepton at the p.o.a. |
| Met_et | met_et | float | Transverse energy of the missing momentum vector |
| Met_phi | met_phi | float | Azimuthal angle of the missing momentum vector |
| Jet_n | jet_n | int | number of selected jets |
| alljet_n | int | total number of jets in event | |
| Jet_pt | jet_pt | vector<.float> | transverse momentum of the jet |
| Jet_eta | jet_eta | vector<.float> | pseudorapidity of the jet |
| Jet_phi | jet_phi | vector<.float> | azimuthal angle of the jet |
| Jet_e | jet_E | vector<.float> | energy of the jet |
| Jet_mass | jet_m | vector<.float> | invariant mass of the jet |
| Jet_jvf | jet_jvf | vector<.float> | jet vertex fraction of the jet |
| Jet_flag | jet_flag | vector<.int> | bitmask implementing object cuts of the top group |
| truepdgid | jet_trueflav | vector<.int> | flavor of the simulated jet |
| isTrueJet | jet_truthMatched | vector<.int> | information whether the jet matches a simulated jet |
| jet_SV0 | vector<.float> | Weight from algorithm that reconstructs Secondary Vertices associated with a jet | |
| Jet_mv1 | jet_MV1 | vector<.float> | Weight from algorithm based on Multi-Variate technique |
The scalefactors correct for known differences between data and simulated data.
Reading the datasets.
The data is stored in ROOT tuples, which can be looked at directly using ROOT TBrowser.
In the provided analysis code the tuples are read by TupleReader.py
Some of the variable names have been 'redefined' in TupleReader.py
For example
self.Lep_d0 = self.activate("f", "lep_trackd0pvunbiased", max_Lep)
So the snappily named tuple variable lep_trackd0pvunbiased can be accessed as just Lep_d0 in the analysis code.
The Lorentz vector.
Four-momentum is a four-vector in spacetime. It is useful in relativistic calculations because it is a Lorentz vector. This means that it is easy to keep track of how it transforms under Lorentz transformations.
TLorentzVector is a general four-vector class in ROOT, which can be used either for the description of position and time or momentum and energy .
In TupleReader.py it is defined
In various analyses it is used e.g. HWWAnalysis.py
