New developments in SModelS
Ga\"el Alguero, Jan Heisig, Charanjit K. Khosa, Sabine Kraml, Suchita, Kulkarni, Andre Lessa, Philipp Neuhuber, Humberto Reyes-Gonz\'alez, Wolfgang, Waltenberger, Alicia Wongel
TL;DR
SModelS is a tool for rapid interpretation of LHC simplified model results, and this paper reports on significant updates including expanded analysis database and new likelihood usage capabilities.
Contribution
The paper introduces two major updates to SModelS: an expanded database with more analyses and the integration of full likelihoods via pyhf JSON files.
Findings
Database extended with 13 ATLAS and 10 CMS analyses.
Inclusion of full Run 2 luminosity analyses.
Ability to use full likelihoods from ATLAS.
Abstract
SModelS is an automatized tool enabling the fast interpretation of simplified model results from the LHC within any model of new physics respecting a symmetry. In this contribution, we report on two important updates of SModelS during 2020: the extension of the SModelS' database with 13 ATLAS and 10 CMS analyses, including 5 ATLAS and 1 CMS analyses at full Run~2 luminosity, and the ability to use full likelihoods now provided by ATLAS in the form of pyhf JSON files. Moreover, we briefly explain how to use SModelS and give an overview of ongoing developments.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.