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Dataset . 2023
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ZENODO
Dataset . 2023
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ZENODO
Dataset . 2023
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EW-ino scan points from "SModelS v2.3: enabling global likelihood analyses" paper

Authors: Altakach, Mohammad; Kraml, Sabine; Lessa, Andre; Narasimha, Sahana; Pascal, Timothee; Waltenberger, Wolfgang;

EW-ino scan points from "SModelS v2.3: enabling global likelihood analyses" paper

Abstract

Input SLHA and SModelS output (.smodels and .py) files from the paper "SModelS v2.3: enabling global likelihood analyses". The dataset comprises 18544 electroweak-ino scan points and can be used to reproduce all the plots presented in the paper. ewino_slha.tar.gz : input SLHA files including mass spectra, decay tables and cross sections ewino_smodels_v23_combSRs.tar.gz : SModelS v2.3 output with combineSRs=True and combineAnas = ATLAS-SUSY-2018-41,CMS-SUS-21-002 (primary v2.3 results used in section 4, Figs. 2-6) ewino_smodels_v23_bestSR.tar.gz : SModelS v2.3 output with combineSRs=False and combineAnas = ATLAS-SUSY-2018-41,CMS-SUS-21-002 (used only in Fig. 2) ewino_smodels_v21.tar.gz : SModelS v2.1 output with combineSRs=False (used only in Fig. 2) Changes w.r.t. version 1: removed 13 SLHA input files, which had wrong neutralino2 decays due to a bug in softsusy 4.1.11; recomputed smodels_v23_combSRs results with sigmacut=1e-3 fb. See comments on https://scipost.org/submissions/2306.17676v2/ for details.

Funded in part by: IN2P3 master project ``Theorie - BSMGA'', French Agence Nationale de la Recherche (ANR) under grant ANR-21-CE31-0023 (PRCI SLDNP), Austrian Science Fund (FWF) under grant number I5767-N, Initiatives de Recherche a Grenoble Alpes (IRGA) ANR-15-IDEX-02 project no. G7H-IRG21B26 (APM@LHC), FAPESP grant no. 2018/25225-9 and 2021/01089-1.

{"references": ["https://arxiv.org/abs/2306.17676"]}

Keywords

large hadron collider, beyond the standard model, simplified models, supersymmetry, reinterpretation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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