Published May 21, 2026
| Version v2
Dataset
Open
Resources for "On the coverage of electroweak-inos within the pMSSM with SModelS - a comparison with the ATLAS pMSSM study"
Authors/Creators
Description
Data and code (jupyter notebooks) ensuring the reproducibility of the results published in the paper "On the coverage of electroweak-inos within the pMSSM with SModelS - a comparison with the ATLAS pMSSM study".
Contents:
- slha_input: directory holding all the SLHA input files (incl cross sections) for our EWKino dataset
- smodels_output: directory holding the SModelS output (python files and summary output)
- plots: directory with auxiliary code and notebooks for producing all the plots in the paper
- atlas_output/EWKino.csv: ATLAS exclusion and external constraints, taken from this webpage by ATLAS (Journal Ref: JHEP 05 (2024) 106)
The output in smodels_output can be directly used to reproduce the paper plots. All the plotting scripts and data analysis code are stored in the directory plots.
Only change with respect to version v1 is the labelling in Fig. 6 (plots/section4.2.ipynb) !
Files
archive.zip
Files
(134.7 MB)
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md5:4ae0f03a06a6f91144ea33f96376d23f
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Additional details
Related works
- Cites
- Journal article: arXiv:2312.16635 (arXiv)
- Journal article: arXiv:2402.01392 (arXiv)
- Dataset: https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SUSY-2020-15/inputs/ATLAS_EW_pMSSM_Run2.html (URL)
- Is supplemented by
- Journal article: arXiv:2505.11251 (arXiv)
Funding
- Agence Nationale de la Recherche
- OpenMAPP - Open meta-analysis in particle physics ANR-23-CHRO-0006
- Agence Nationale de la Recherche
- SLDNP - Statistically Learning Dispersed New Physics at the LHC ANR-21-CE31-0023
- FWF Austrian Science Fund
- SLDNP — Statistically Learning Dispersed New Physics at the LHC I5767-N
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- 2021/01089-1
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- 2018/25225-9
Software
- Repository URL
- https://github.com/SModelS/smodels/releases