English

SModelS v2.3: enabling global likelihood analyses

High Energy Physics - Phenomenology 2023-11-08 v2 High Energy Physics - Experiment

Abstract

We present version 2.3 of SModelS, a public tool for the fast reinterpretation of LHC searches for new physics on the basis of simplified-model results. The main new features are a database update with the latest available experimental results for full Run 2 luminosity, comprising in particular a large variety of electroweak-ino searches, and the ability to combine likelihoods from different analyses. This enables statistically more rigorous constraints and opens the way for global likelihood analyses for LHC searches. The physics impact is demonstrated for the electroweak-ino sector of the minimal supersymmetric standard model.

Keywords

Cite

@article{arxiv.2306.17676,
  title  = {SModelS v2.3: enabling global likelihood analyses},
  author = {Mohammad Mahdi Altakach and Sabine Kraml and Andre Lessa and Sahana Narasimha and Timothée Pascal and Wolfgang Waltenberger},
  journal= {arXiv preprint arXiv:2306.17676},
  year   = {2023}
}

Comments

34 pages, 13 figures, 3 tables. The program and an extensive online documentation are available at https://smodels.github.io/. The dataset used in section 4 is available at https://doi.org/10.5281/zenodo.8086949

R2 v1 2026-06-28T11:19:00.433Z