Members: Ben F, Andy B, Sezen S, Jon B, R. Ruiz, Anders K, Are R., Nishita D., Philippe G., Tomas G…

• Finish comparisons on particularly leptonic channels and busy environments
  • Benj: The analysis is now implemented, but not yet validated, in MA5. Are there common events available somewhere (google drive or CERNBox)?
• Comparisons between MA5 (Delphes/Superfast)/Rivet/CheckMATE/ColliderBit
• Compressed SUSY: ATLAS soft dilepton + soft tracks? ATLAS-CONF-2019-014?
• CMS Razor (Sezen)

We'll use the published version of CMS SUS-16-048: http://cms-results.web.cern.ch/cms-results/public-results/publications/SUS-16-048/index.html

Our benchmark point will be the (150,142.5) test point from CMS, i.e. degenerate and pure wino Chi20/Chi+1 at 150 GeV, and a pure bino Chi10 at 142.5 GeV.

The CMS signal simulation uses Pythia (8.212) to decay the Chi20 and Chi1+. They assume SM branching ratios for the resulting virtual Z and W, but take into account the Breit-Wigner shapes. To make this work in Pythia we assume that they have adjusted the “23:mMin” and “24:mMin” settings. We'll try with

• 23:mMin = 1
• 24:mMin = 1

SLHA file: cms_150_143_slha.txt

250k events will be produced and stored in HepMC format.

CMS software (simulation and reconstruction) is public and can be used to be compared with results from Delphes and smearing-based simulation.

• public repository: https://github.com/cms-sw/cmssw
• Instructions from opendata: http://opendata.cern.ch/docs/about-cms, http://opendata-dev.web.cern.ch/docs/cms-guide-event-production
• simulation mode:
  • fast simulation (called fastsim), more precise than Delphes
  • full simulation based on Geant 4
• Run environment:
  • in virtualbox using provided virtual machine image
  • natively. Works with SLC and SLC7. More complicated than virtualbox
  • using a docker image
  • natively from CERN lxplus
• processing time:
  • 1s/event with the fast simulation on a virtual machine
  • 1mn/event with the full simulation on a virtual machine

Events will be stored in Delphes format.

Implemented the analysis using a domain specific analysis description language approach:

Link to the analysis description file

Link to the fMtautau external function

Project contact: Anders K.