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

• 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

→ values used by CMS: 23:mMin = 24:mMin = 0.1

SLHA file: cms_150_143_slha.txt

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

Dropbox link to event file (~4.5 GB zipped): tag_1_pythia8_events.hepmc.gz

Preliminary ColliderBit results: colliderbit_preliminary_results.txt

Preliminary Rivet results: rivet_preliminary_results.txt

Preliminary ADL results: adl_preliminary_results.txt

Comparing ATLAS and CMS soft dilepton analysis preselections: Sezen's slides

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.