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Custom VSI vertex container for dHNL in SUSY15

Dominique Trischuk requested to merge dtrischu/athena:custom_VSI_for_HNL into 21.2

The displaced HNL analysis team would like add a custom secondary vertex container to SUSY15 that has been developed to search for 2-lepton displaced vertices. This MR includes changes to VrtSecInclusive to implement this new vertex configuration, as well as changes to SUSY15.py to setup and run the configuration.

Description of the custom vertex container for DHNL analysis:

  • Leptons-only track seeding
  • Additional track cuts inspired by the latest optimization studies done for LRT in Run 3
  • Looser two-track forming d0 cut (1 mm)
  • Run non-selected track attachment to attach compatible non-lepton tracks to the vertex

In addition to the vertex container, we would also like to add the missing lowest unprescaled single lepton triggers that are used in our DRAW filter (HNL filter trigger list). This MR also add these missing triggers to the SUSY15TriggerList.py.

I have already done some estimates of the disk size impact of this addition to SUSY15 using DAOD_RPVLL data from 2018 and 2015:

  • Additional vertex container for DHNL: ~0.1% increase per-event
  • Adding additional triggers to later periods (2016D4-, 2017,2018): increases the disk space size by ~0.6% due to the extra events.
  • Adding additional triggers to 2015-2016A-D3 data: increases the disk space by ~50% due to the extra triggers. This is because, for these periods, SUSY15 currently does not include the lowest threshold single lepton triggers.
  • However, 2015-2016A-D3 data periods is only about 13% of the full run 2 data.
  • In total then, we're looking at a 50% increase to 13% of the data plus 0.6% increase of the rest (87%) of the data.
  • Total impact of adding additional triggers is estimated to increase the size of SUSY15 by ~5%

More details about the custom vertex container and the SUSY15 validation checks can be found in this presentation.

Tagging: @cohm, @leejr, @spagan, @mdanning, @hoide

Edited by Dominique Trischuk

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