Low-pT electrons

This TWiki briefly documents the support for, and the performance of, low-pT electrons.

Authors

  • Robert Bainbridge (Imperial College London)
  • Francesca Cavallari (INFN Rome)
  • Nancy Marinelli (Notre Dame)
  • Chiara Rovelli (INFN Rome)
  • Mauro Verzetti (no longer in HEP)

Introduction

Low-pT electrons were originally developed to support measurements of RK and related variables using the ParkedBPH data set. More recently, they have been integrated into standard CMS data sets.

Recommendations

  • Low-pT electrons are supported for:
    • Run 2 UltraLegacy data sets processed with CMSSW_10_6_X,
    • UL reprocessing of 2018 BParking in CMSSW_10_6_X,
    • Run 3 processing in CMSSW_12_1_X.
  • All other production campaigns are not supported.
  • FastSim is supported, HI physics is not.

UltraLegacy data sets

Low-pT electrons are available in all data tiers with the following caveats:

  • RECO/AOD
    • Available for all UL campaigns with a threshold pT > 1.0 GeV.
    • Caveat: the default ID ("Autumn18") is suboptimal and should be rerun (see recipes)
  • MINIAOD
    • Only available for "mini v2" samples (a.k.a. "re-MINIAOD").
    • An ID discriminant ("2020Sept15") with good performance is provided.
    • No energy regression is applied. (See recipes.)
    • DAS query for mini v2: dataset=/*/*UL*MiniAODv2*/MINIAOD*
  • NANOAOD
    • Only available for "nano v9" sample (a.k.a. "re-NANOAOD")
    • An ID discriminant ("2020Nov28") with optimal performance is provided.
    • Energy regression is applied by default.
    • DAS query for nano v9: dataset=/*/*UL*NanoAODv9*/NANOAOD*

Users are recommended to use CMSSW_10_6_26 or later for further processing.

2018 BParking data set

Support for the prompt reconstruction of the BParking data set in 10_2_X is not generally supported, with support limited to LFU-related studies (such as the RK measurement).

However, support of the UL reprocessing in 10_6_X is supported for all data tiers:

  • RECO/AOD
    • Available with a threshold pT > 1.0 GeV.
    • Caveat: the default ID ("Autumn18") is suboptimal and should be rerun (see recipes)
  • MINIAOD
    • Only available for "mini v2" samples (a.k.a. "re-MINIAOD").
    • An ID discriminant ("2021May17") with optimal performance is provided.
    • Energy regression is applied by default.
  • NANOAOD
    • Only available for "nano v9" sample (a.k.a. "re-NANOAOD")
    • An ID discriminant ("2021May17") with optimal performance is provided.
    • Energy regression is applied by default.

Users are recommended to use CMSSW_10_6_26 or later for further processing.

Run 3 data sets

Support for Run 3 data taking processing in 12_1_X is supported for all data tiers:

  • RECO/AOD
    • Available with a threshold pT > 1.0 GeV.
    • An ID discriminant ("2020Nov28") with optimal performance is provided.
    • Energy regression is applied by default.
  • MINIAOD
    • An ID discriminant ("2020Nov28") with optimal performance is provided.
    • Energy regression is applied by default.
  • NANOAOD
    • An ID discriminant ("2020Nov28") with optimal performance is provided.
    • Energy regression is applied by default.

Users are recommended to use CMSSW_12_1_X or later for further processing.

Algorithm overview

List of modules and their functions

Performance

Shown below are some representative performance plots.

Frequently asked questions

  • What collections are available?

This depends on the data tier and a list and terse description can be found in the drop-down tables below.

  • What is the difference between all the ID models available?

  • How do I access and use the discriminator scores?

  • How do "cross clean" against the standard EGamma and/or PF collections?

  • How do I get a calibrated energy if the energy regression hasn't been applied?

  • How can I rerun modules to apply energy regression and/or the latest ID?

Documentation

Analyses using low-pT electrons

Several groups have expressed an interest in using low-pT electrons. Below is a (non-exhaustive) list of those we are aware of. Please volunteer to add your information here if you plan to use low-pT electrons.

  • Cristina Botta, SUSY compressed spectra at low deltaM
  • Rachel Yohay, Nicholas Bower, Light, highly boosted pseudoscalars decaying to tau leptons
  • Josh Bendavid, Ken Hatakeyama, Integration into PF algorithm
  • Christian Herwig, Higgsinos
  • Alison Hall, Sam Bright-Thonney, SUSY / DM models with compressed spectra
  • Claude Charlot, Higgs studies
  • Livia Soffi, Tetraquarks search in 2mu2e

Detailed information

  • Further, detailed information is available here: [link]
  • e.g.
    • recommended releases
    • past algorithm development
    • future developments

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Topic revision: r141 - 2021-09-09 - RobBainbridge
 
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