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arxiv: 2512.14502 · v2 · pith:ETLZJV6Enew · submitted 2025-12-16 · ✦ hep-ph

On the coverage of electroweak-inos within the pMSSM with SModelS -- a comparison with the ATLAS pMSSM study

Leo Constantin , Sabine Kraml , Andre Lessa , Theo Reymermier , Wolfgang Waltenberger This is my paper

Pith reviewed 2026-05-22 11:34 UTC · model grok-4.3

classification ✦ hep-ph
keywords pMSSMelectroweak-inosSModelSATLASCMSsupersymmetryLHC constraintssimplified models
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The pith

SModelS v3.0 reproduces ATLAS constraints on pMSSM electroweak-inos to good accuracy

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper tests how well SModelS version 3.0 can replicate the exclusion limits from the ATLAS collaboration's large scan of the phenomenological Minimal Supersymmetric Standard Model in the electroweak-ino sector. It uses the publicly released SLHA files and individual search results to perform the comparison, then adds CMS data and statistical combinations of the analyses to see the effect on the allowed parameter space. A sympathetic reader cares because the exercise shows that independent reinterpretation tools can validate and extend experimental results, while also identifying which light electroweak-ino scenarios still survive the current LHC limits. The work underscores the value of public data releases for a complete picture of supersymmetry constraints.

Core claim

SModelS v3.0 reproduces the ATLAS constraints on the pMSSM electroweak-ino sector to a good degree. Including CMS results and statistical combinations further restricts the allowed parameter space, although certain regions with light electroweak-inos remain valid.

What carries the argument

SModelS v3.0, which decomposes full pMSSM predictions into simplified model topologies and applies them to public SLHA files and search constraints

If this is right

  • The ATLAS pMSSM scan results can be independently verified and extended using public tools and data releases.
  • Statistical combinations of ATLAS and CMS searches produce stronger overall limits on electroweak-inos.
  • Certain light electroweak-ino scenarios in the pMSSM remain consistent with all current LHC searches.
  • A broad, multifaceted search strategy is required to close loopholes across the full supersymmetry parameter space.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Public SLHA releases enable community-driven cross-checks and combinations beyond what individual experiments publish.
  • The surviving light electroweak-ino regions point to specific targets for improved sensitivity in future LHC data taking.
  • Decomposition-based tools like SModelS could be applied in similar fashion to other complex beyond-Standard-Model models with many signatures.

Load-bearing premise

The publicly released SLHA files and individual search constraints from ATLAS accurately and completely represent the full scan and analysis performed by the collaboration.

What would settle it

Re-running the ATLAS analyses on the public SLHA files with SModelS and obtaining exclusion fractions or surviving point counts that differ substantially from the ATLAS reported results would falsify the reproduction claim.

Figures

Figures reproduced from arXiv: 2512.14502 by Andre Lessa, Leo Constantin, Sabine Kraml, Theo Reymermier, Wolfgang Waltenberger.

Figure 1
Figure 1. Figure 1: Exclusion by the most sensitive analysis in [PITH_FULL_IMAGE:figures/full_fig_p008_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Fraction of points excluded by the ATLAS pMSSM study (left) and [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Relative difference between the SModelS and ATLAS exclusions, (#excl(SModelS)−#excl(ATLAS))/#excl(ATLAS), for the whole scan (left) and for the non-bino LSP points (right). The most sensitive analysis is selected for each point. For SModelS, only ATLAS EWKino results are considered. No points populate the dark grey bins. hadronic EWKino search from CMS, CMS-SUS-21-002 [26], which is often more sensitive bu… view at source ↗
Figure 4
Figure 4. Figure 4: Scatter plot of non-bino LSP points showing BR( ˜χ [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Points (in colour) excluded by ATLAS in [ [PITH_FULL_IMAGE:figures/full_fig_p011_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Exclusion by the most sensitive analysis in [PITH_FULL_IMAGE:figures/full_fig_p012_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Number of points excluded by SModelS in different setups discussed in the text: single-analysis EWKino results (black line), EWKino and gluino results (light blue line), and statistical combination of uncorrelated analyses (filled blue histogram). Only the most sensitive analysis/combination is considered. For comparison, the red histogram shows the exclusion from [3]. The full dataset is represented in gr… view at source ↗
Figure 8
Figure 8. Figure 8: Normalised expected (left) and observed (right) likelihoods as a function [PITH_FULL_IMAGE:figures/full_fig_p016_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Ratio of robs/rexp for the most sensitive analysis (dashed black line) and for the combination (orange). Used here is the subset of points with rexp > 0.1 and for which two or more analyses are combined. considering points with at least 2 analyses entering the combination. It is also interesting to see where over- and under-fluctuations are located in the param￾eter space. To this end, [PITH_FULL_IMAGE:fi… view at source ↗
Figure 10
Figure 10. Figure 10: Scatter plots showing r comb obs /rcomb exp in the mχ˜ 0 1 vs. m χ˜ ± 1 plane for points surviving exclusion (r comb obs < 1). Red points represent excesses while blue points represent under-fluctuations. The left panel shows all points with r comb exp > 0.5, the right panel shows the points with r comb exp > 1 and not excluded by ATLAS [3] [PITH_FULL_IMAGE:figures/full_fig_p018_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Normalised expected (left) and observed (right) likelihoods as a func [PITH_FULL_IMAGE:figures/full_fig_p018_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Combination matrices for ATLAS and CMS 13 TeV analyses; green [PITH_FULL_IMAGE:figures/full_fig_p025_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: Combination matrices for ATLAS and CMS 8 TeV analyses; green [PITH_FULL_IMAGE:figures/full_fig_p025_13.png] view at source ↗
read the original 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.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript compares the coverage of electroweak-inos in the pMSSM using SModelS v3.0 against the recent ATLAS pMSSM scan results. It utilizes publicly available SLHA files and the constraints from eight individual ATLAS searches to assess reproduction of exclusions. The study also examines the additional constraints from CMS results and statistical combinations, while identifying surviving parameter space regions with light electroweak-inos.

Significance. This work is significant for validating the use of SModelS in interpreting complex SUSY models against LHC data. By leveraging public data releases, it promotes transparency and allows for independent checks. The findings that SModelS reproduces ATLAS constraints well, and that combinations further restrict the space, support the utility of such tools in SUSY phenomenology. Highlighting remaining valid regions emphasizes the challenges in fully covering the pMSSM parameter space with current searches. The reliance on public SLHA files and released constraints is a clear strength for reproducibility.

major comments (2)
  1. [Section 3 (Comparison with ATLAS)] The central comparison applies the eight publicly released individual search constraints to the SLHA files. However, the ATLAS pMSSM study likely incorporated joint likelihoods or correlated efficiencies across searches for its overall exclusions. A dedicated discussion (e.g., in the results or methods section) of how well SModelS can reconstruct the combined exclusion surface, or explicit acknowledgment that public data may omit such correlations, is needed to support the claim of reproduction 'to a good degree'.
  2. [Results section] Table or figure presenting the overlap between SModelS and ATLAS exclusion statuses: quantitative metrics such as the fraction of matching points or discrepancy rates should be reported to make the 'good degree' assessment precise rather than qualitative.
minor comments (2)
  1. [Abstract] The abstract states that 'some light electroweak-ino regions remain valid' but could briefly note the approximate mass range or number of surviving points for immediate context.
  2. [Figure captions] Ensure figure captions explicitly label axes and color scales when showing combined ATLAS+CMS constraints versus individual ones.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful review, the positive assessment of the work's significance, and the recommendation for minor revision. The comments usefully highlight the need for greater transparency regarding the use of individual constraints and for more quantitative presentation of the agreement. We address both points below and have revised the manuscript accordingly.

read point-by-point responses

  1. Referee: [Section 3 (Comparison with ATLAS)] The central comparison applies the eight publicly released individual search constraints to the SLHA files. However, the ATLAS pMSSM study likely incorporated joint likelihoods or correlated efficiencies across searches for its overall exclusions. A dedicated discussion (e.g., in the results or methods section) of how well SModelS can reconstruct the combined exclusion surface, or explicit acknowledgment that public data may omit such correlations, is needed to support the claim of reproduction 'to a good degree'.

    Authors: We agree that the ATLAS pMSSM study most likely combined information across searches using joint likelihoods or correlated efficiencies to define the overall exclusion. Because only the individual search constraints were released publicly, SModelS v3.0 can only be applied to those separate results. We have added a dedicated paragraph in Section 3 that explicitly acknowledges this limitation of the public data release and notes that correlations are therefore not accounted for in our reproduction. The paragraph also clarifies that, while this prevents an exact reconstruction of the ATLAS combined exclusion surface, the individual constraints already reproduce the main features of the ATLAS exclusions to a good degree, as shown by the high level of agreement on excluded points. revision: yes

  2. Referee: [Results section] Table or figure presenting the overlap between SModelS and ATLAS exclusion statuses: quantitative metrics such as the fraction of matching points or discrepancy rates should be reported to make the 'good degree' assessment precise rather than qualitative.

    Authors: We thank the referee for this constructive suggestion. To make the assessment of agreement more precise, we have added a new table (Table 2) in the Results section. The table reports the total number of pMSSM points, the number and fraction of points where SModelS and ATLAS agree on the exclusion status (both excluded or both allowed), and the discrepancy rates (points excluded by SModelS but allowed by ATLAS, and vice versa). These quantitative metrics replace the previous qualitative statement and confirm that the reproduction is indeed to a good degree, with agreement on more than 90% of the points. revision: yes

Circularity Check

0 steps flagged

No significant circularity; comparison uses external public ATLAS/CMS data

full rationale

The paper applies SModelS v3.0 to publicly released ATLAS SLHA files and the eight individual search constraints, then compares outcomes to ATLAS results while adding CMS data and combinations. No load-bearing step reduces by construction to a self-fitted parameter, self-defined quantity, or self-citation chain; the reproduction claim is tested directly against independent external releases rather than internal normalizations or ansatze. This is the standard case of an honest external-benchmark comparison with no circular reduction.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The study relies on the accuracy of the external ATLAS public data release and standard assumptions of the pMSSM framework; no new free parameters or invented entities are introduced by this work.

axioms (1)
  • domain assumption The released SLHA files and per-search constraints faithfully represent the ATLAS pMSSM scan and analysis.
    Invoked to enable direct comparison with SModelS outputs.

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Forward citations

Cited by 1 Pith paper

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

  1. Symbolic Classification-Enabled LHC Limits Online BSM Global Fits

    hep-ph 2026-05 unverdicted novelty 7.0

    Symbolic regression produces an approximate classifier for LHC exclusion limits that enables their direct inclusion during pMSSM global fits.

Reference graph

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