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On the coverage of electroweak-inos within the pMSSM with SModelS -- a comparison with the ATLAS pMSSM study
by Leo Constantin, Sabine Kraml, Andre Lessa, Theo Reymermier, Wolfgang Waltenberger
Submission summary
| Authors (as registered SciPost users): | Leo Constantin |
| Submission information | |
|---|---|
| Preprint Link: | https://arxiv.org/abs/2512.14502v1 (pdf) |
| Code repository: | https://github.com/SModelS/smodels/releases |
| Data repository: | https://zenodo.org/records/17949023 |
| Date submitted: | Dec. 17, 2025, 3:42 p.m. |
| Submitted by: | Leo Constantin |
| Submitted to: | SciPost Physics |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
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| Approach: | Phenomenological |
Abstract
The ATLAS collaboration has recently performed a vast scan of the phenomenological Minimal Supersymmetric Standard Model (pMSSM) with a focus on the electroweak-ino sector, and analysed how their Run 2 searches for electroweak production of supersymmetric (SUSY) particles constrain this dataset. All the SLHA files from the scan as well as the constraints from the eight individual searches considered by ATLAS were made publicly available. We use this material to study how well the ATLAS constraints can be reproduced with SModelS v3.0. Moreover, we explore how the picture changes when also including CMS results, and what can be gained by the statistical combination of analyses. Finally, we discuss the part of parameter space with light electroweak-inos that remains valid despite the stringent LHC limits. Our results underscore the need of a broad, multifaceted approach for maximising sensitivity and closing loopholes in the extensive SUSY parameter space.
Author indications on fulfilling journal expectations
- Provide a novel and synergetic link between different research areas.
- Open a new pathway in an existing or a new research direction, with clear potential for multi-pronged follow-up work
- Detail a groundbreaking theoretical/experimental/computational discovery
- Present a breakthrough on a previously-identified and long-standing research stumbling block
