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ELECTRONBDT.md

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Electron BDT

Installing the necessary code

Setup:

cmsrel CMSSW_9_3_2
cd CMSSW_9_3_2
cd src/
cmsenv
git clone [email protected]:CMS-HGCAL/EgammaTools.git

Usage

  • It was observed that the reconstruction often reconstructs multiple electrons, and a cleaning should be applied before computing the multivariate quality estimator. It is done by the HGCalElectronFilter. The corresponding cfi is in python/HGCalElectronFilter_cfi.py which has to be run first. It produces a collection called cleanedEcalDrivenGsfElectronsFromMultiCl. Any subsquent module looking for electrons should use the collection thus produced.
  • Once the collection is cleaned, the ValueMapProducer can be run thanks to the python/HGCalElectronIDValueMap_cfi.py configuration fragment. Make sure that the "electrons" parameter that specifies the input collection is set to cleanedEcalDrivenGsfElectronsFromMultiCl

Barrel/Endcap

To distinguish between a barrel and a endcap electron, it is recommended to use the .isEB() of the GsfElectrons rather than an eta cut.

Endcap Preselection

Additional cuts to clean bad HGCAL electron clusters based on variables in the value maps

ecEnergy > 0
sigmaUU > 0
fbrem > -1
measuredDepth < 40
nLayers > 20

Recommended ID cuts

Endcap (HGCAL)

pT > 20 GeV

Name Bkg Eff Sig Eff BDT score
Tight 0.1 76 0.983
Medium 1 96 0.591
Loose 10 100 -0.919

10 < pT < 20 GeV

Name Bkg Eff Sig Eff BDT score
Tight 0.1 43 0.969
Medium 1 78 0.777
Loose 10 95 -0.320

Barrel (isEB == 1)

pT > 20 GeV

Name Bkg Eff Sig Eff BDT score
Tight 0.1 60 0.988
Medium 1 92 0.723
Loose 10 99 -0.797

10 < pT < 20 GeV

Name Bkg Eff Sig Eff BDT score
Tight 0.1   30 0.986
Medium 1 81 0.855
Loose 10     98 -0.661

Previous values (same training)

Barrel

pT range 95% Efficiency 80% efficiency
10-20 GeV BDT > 0.203 BDT > 0.869
> 20 GeV BDT > 0.452 –

Endcap (HGCAL)

pT range 95% Efficiency 80% efficiency
10-20 GeV BDT > -0.33 BDT > 0.73
> 20 GeV BDT> 0.67 –