A SModelS interface for pyhf likelihoods
Ga\"el Alguero, Sabine Kraml, Wolfgang Waltenberger
TL;DR
This paper introduces an updated version of SModelS that integrates ATLAS pyhf likelihoods via JSON files, significantly enhancing the statistical analysis and limit setting capabilities for new physics models with a $\
Contribution
The new SModelS version uniquely incorporates full ATLAS likelihoods through pyhf JSON files, improving the accuracy of physics interpretation.
Findings
Enhanced statistical evaluation of new physics models.
More precise limit setting enabled by full likelihood integration.
Broader applicability to models respecting a $\
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. We here present a new version of SModelS that can use the full likelihoods now provided by ATLAS in the form of pyhf JSON files. This much improves the statistical evaluation and therefore also the limit setting on new physics scenarios.
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