Measurement of the chance of misidentification of electrons in Accelerator event data

Project Roadmap

• A brief rundown derivation of the steps in obtaining the charge flip rate ϵ_i

  • Including the likelihood function
  • Discuss about the related errors arose in the method used.

• Come up with a code to act as an analyzer.

  • Work in Pythia & C++
  • Input event data and output a weight factor of how likely misidentification occurs.

• Validation the code

  • By using higher √s data
  • Amend if necessary

2021 Jan 27 Meeting Notes

• Done
  • Calculate mis-id rate with misIdCount2.C
• TODO:
  • Implement likelihood method

2020 Nov 18

• No progress, 0 misId rate.
• TODO:
  • Get ATLAS GEANT4 sample and retry

2020 Nov 11 Meeting Notes

• Done
  • Generate ROOT file (10000 events)
  • Graph the Z invariant Mass with diElectronMass.C
  • 0 mis-identified electrons (expected ~10)
  • Verify eta distribution cuts off at 2.5
• TODO:
  • Try Delphes again with 100k events
  • Check parents of all electrons are from Z
  • Discuss further if 0 misId rate again

2020 Nov 04 Meeting Notes

• Done
  • Using Madgraph & Delphes, generate ROOT file
  • linking Delphes libraries and headers with ROOT
• TODO:
  • Use ROOT TLorentzVector::M (?) to find the invariant mass

2020 Oct 28 Meeting Notes

• No progress, Delphes rejected Pythia HepMC format
• TODO:
  • Further troubleshooting together

2020 Oct 21 Meeting Notes

• Done: Generate HepMC Events from Pythia
• TODO:
  • Install Delphes for detector simulation
    • Input .HepMC, output .ROOT
  • Pythia:
    • Further specify allowed processes
    • Only pure Z -> lepton lepton , no gamma
  • ROOT:
    • Get 4 momentum of electrons, to get the invariant mass of the Z Boson

2020 Oct 16 Meeting Notes

• TODO Generate the sample events before next week
• In Pythia, turn on detector simulation
  • Only turn on electroweak processes
  • pp -> Z -> ee
• The information about electron misidentification is stored in the sample
• After succeed
  • Use ROOT to perform further analysis