Pith. sign in

REVIEW 2 cited by

A SModelS interface for pyhf likelihoods

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2009.01809 v1 pith:ZFYAY4LU submitted 2020-09-03 hep-ph hep-ex

Gaël Alguero , Sabine Kraml , Wolfgang Waltenberger This is my paper · ORCID
classification hep-phhep-ex
keywords smodelslikelihoodsmodelphysicspyhfatlasautomatizedenabling
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
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 $\mathbb{Z}_2$ 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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Deciphering compressed electroweakino excesses with MadAnalysis 5

    hep-ph 2025-07 conditional novelty 6.0 of 10

    MadAnalysis 5 v1.11 adds validated recasting of two ATLAS compressed-electroweakino searches and shows that a proposed NMSSM scenario fits the soft-lepton and monojet excesses less well than simpler models.

  2. Communicating Likelihoods with Normalising Flows

    hep-ph 2025-02 conditional novelty 4.0 of 10

    A normalizing-flow workflow compresses sample-based likelihoods into small files, validated with a radial Kolmogorov-Smirnov test on three high-energy physics examples.

Pith tools