
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

contains a small fix for python <= 3.7
we thank Jamie Yellen (University of Glasgow) for beta testing, and a bug fix in the analysis combination code
Mailing lists:
If you use SModelS, please cite the following papers:
- Constraining new physics with SModelS version 2, Gael Alguero, Jan Heisig, Charanjit Khosa, Sabine Kraml, Suchita Kulkarni, Andre Lessa, Humberto Reyes-Gonzalez, Wolfgang Waltenberger, Alicia Wongel, arXiv:2112.00769
- A SModelS interface for pyhf likelihoods, Gael Alguero, Sabine Kraml, Wolfgang Waltenberger, arXiv:2009.01809, CPC March 2021, 107909
- SModelS database update v1.2.3, Charanjit K. Khosa, Sabine Kraml, Andre Lessa, Philipp Neuhuber, Wolfgang Waltenberger, arXiv:2005.00555, LHEP 158 2020
- SModelS v1.2: long-lived particles, combination of signal regions, and other novelties, Federico Ambrogi et al., arXiv:1811.10624, CPC 251, June 2020, 106848
- Constraining new physics with searches for long-lived
particles: Implementation into SModelS, Jan Heisig, Sabine Kraml, Andre Lessa, arXiv:1808.05229, Phys.Lett. B788 (2019) 87-95.
- SModelS extension with the CMS supersymmetry search results from Run 2, Juhi Dutta, Sabine Kraml, Andre Lessa, Wolfgang Waltenberger, arXiv:1803.02204, LHEP 1 (2018) no.1,5-12
- SModelS v1.1 user manual: improving simplified model constraints with efficiency maps, Federico Ambrogi, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Veronika Magerl, Jory Sonneveld, Michael Traub, Wolfgang Waltenberger arXiv:1701.06586, CPC 227 (2018) 72-98
- SModelS: a tool for interpreting simplified-model results from the LHC and its application to supersymmetry, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Wolfgang Magerl, Doris Proschofsky, Wolfgang Waltenberger, arXiv:1312.4175, EPJC (2014) 74:2868
Moreover
- If you use the cross section calculator please cite Pythia and NLLfast
- If you use the Fastlim results in the database, please cite Fastlim 1.0 arXiv:1402.40492, EPJC74 (2014) 11.
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
- the decomposition of the BSM spectrum into SMS topologies
- a database of experimental SMS results
- the interface between decomposition and results database to compute limits

Code and Database updates
- For code and database releases, see Download
Experimental results in the database
Publications and Talks
See the publications and talks page