SModelS: a tool for interpreting simplified-model results from the LHC and its application to supersymmetry. We present 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. Our concrete implementation currently focusses on supersymmetry searches with missing energy, for which a large variety of SMS results from ATLAS and CMS are available. As show-case examples we apply our procedure to two scans of the minimal supersymmetric standard model. We discuss how the SMS limits constrain various particle masses and which regions of parameter space remain unchallenged by the current SMS interpretations of the LHC results.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Lukas Heinrich; Matthew Feickert; Giordon Stark; Kyle Cranmer: pyhf: pure-Python implementation of HistFactory statistical models (2021) not zbMATH
- Dumont, Béranger: Higgs, supersymmetry and dark matter after run I of the LHC (2017)