A SModelS interface for pyhf likelihoods

SModelS is an automatized tool enabling the fast interpretation of simplified model results from the LHC within any model of new physics respecting a Z_2 symmetry. We here present a new version of SModelS, which 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.

SModelS是一款自动化工具，它能够快速解读大型强子对撞机（LHC）在遵循Z_2对称性的任何新物理模型中得到的简化模型结果。在此，我们呈现SModelS的新版本，该版本能够利用ATLAS提供的完整似然函数，这些函数以pyhf JSON文件的形式呈现。此举显著提升了统计评估的准确性，从而也改善了新物理情景的极限设定。