A tool for interpreting simplified-model results from the LHC

Gaël Alguero, Jan Heisig, Sabine Kraml, Andre Lessa, Timothée Pascal, Humberto Reyes-González, Wolfgang Waltenberger

Previously involved in SModelS: Federico Ambrogi, Charanjit K. Khosa, Juhi Dutta, Suchita Kulkarni, Ursula Laa, Veronika Magerl, Wolfgang Magerl, Philipp Neuhuber, Doris Proschofsky, Jory Sonneveld, Michael Traub, Matthias Wolf, Alicia Wongel

GitHub Project PyPI version Binder Docs

7 Apr 2022: SModelS version 2.2.0.post1 available

contains a small fix for python <= 3.7

31 Mar 2022: SModelS version 2.2.0 available (what’s new)

we thank Jamie Yellen (University of Glasgow) for beta testing, and a bug fix in the analysis combination code

19 Oct 2021: SModelS version 2.1.1 is now available (what’s new)

Accompanying physics paper: arXiv:2112.00769

Mailing lists:

If you use SModelS, please cite the following papers:


For convenience a references.bib file containing all relevant references is provided with the code. Likewise, a database.bib file with references to all the ATLAS and CMS analyses used is provided in the text database. ————————————————————————

Working principle

SModelS is based on a general procedure to decompose Beyond the Standard Model (BSM) collider signatures presenting a Z2 symmetry into Simplified Model Spectrum (SMS) topologies. Our method provides a way to cast BSM predictions for the LHC in a model independent framework, which can be directly confronted with the relevant experimental constraints. The main SModelS ingredients are

Code and Database updates

Experimental results in the database

Publications and Talks

See the publications and talks page