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REVIEW 1 major objections 2 minor 93 references

VLQBounds: Confronting Vector-Like Quark Models with LHC Searches

T0 review · 1 major / 2 minor · reviewed 2026-05-21 · grok-4.3

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Pith's one-line read A framework lets theorists test vector-like quark models against LHC limits by interpolating public experimental grids.

desk verdict VLQBounds is a practical public tool for quick VLQ model checks against LHC limits, but it needs benchmark tests to show the interpolation and auto-selection actually work. read the letter →

arxiv 2605.20848 v1 pith:JJREZGU4 submitted 2026-05-20 hep-ph

A. Arhrib , R. Benbrik , M. Boukidi , M. Ech-chaouy , S. Moretti , K. Kahime , K. Salime , Q.S. Yan This is my paper · ORCID
classification hep-ph
keywords vector-likequarksLHCexclusionlimitsphenomenologicalreinterpretationpairproductionsingleATLASandCMSsearchesdata-drivencomparison
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

The paper sets out a method to check whether a given vector-like quark scenario survives or is ruled out by existing ATLAS and CMS searches. It accepts model parameters in the forms experiments commonly use, calculates the expected signal strength, and compares it directly to the published 95 percent confidence level boundaries for both pair and single production. The comparison runs channel by channel, picks the strongest constraint, and returns a clear exclusion verdict together with the numerical ratios that quantify how far the model sits from the limit. This approach matters because it removes the need to repeat the full experimental analysis for every new theoretical point, letting researchers scan large parameter spaces quickly and keep results reproducible when new data appear.

What carries the argument

Interpolation over the public experimental limit grids, performed channel by channel on the predicted cross section or effective coupling, with automatic selection of the most constraining analysis.

What would settle it

For a benchmark vector-like quark point where ATLAS or CMS has published both the limit and the corresponding theoretical cross section, running the interpolation and obtaining an exclusion status different from the one stated in the experimental paper.

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Extended reading notes

Core claim

The central claim is that machine-readable grids of observed and expected limits from ATLAS and CMS searches can be used to determine, for any vector-like quark mass, mixing, coupling or width, whether the predicted cross section exceeds the experimental bound in the most sensitive channel, thereby delivering an automated 95 percent confidence level exclusion statement plus the associated sensitivity ratios.

Load-bearing premise

The published machine-readable grids from the experiments are assumed to contain all information needed to recover the correct 95 percent confidence level limits without any further acceptance corrections or re-derivation of the underlying analyses.

Editorial extensions

If this is right

  • Large numbers of vector-like quark parameter points can be tested for compatibility with current data in a short time.
  • Published experimental limits can be validated or cross-checked without access to internal analysis code.
  • New collider searches can be added to the comparison as soon as their grids become public.
  • Non-minimal decay patterns can be accommodated by extending the modular comparison routines.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The same grid-interpolation method could be applied to other beyond-Standard-Model particles once their experimental limits are released in machine-readable form.
  • Repeated use of the framework might highlight parameter regions where current searches lose sensitivity, guiding the design of future analyses.
  • Combining the exclusion output with theoretical calculations of production rates could streamline the process of updating global fits of vector-like quark models.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

1 major / 2 minor

Summary. The paper introduces VLQBounds, a public, data-driven Python framework designed to test Vector-Like Quark (VLQ) scenarios against LHC exclusion limits published by ATLAS and CMS. The framework handles both pair and single VLQ production, supports parameterizations such as mass-mixing, mass-coupling, and mass-width, and for each parameter point, interpolates over machine-readable grids to compare predicted cross-sections or effective couplings with observed and expected limits. It automatically identifies the most sensitive analysis and outputs a 95% CL exclusion verdict, along with sensitivity ratios and metadata for reproducibility. The modular design aims to support fast phenomenological scans and future extensions.

Significance. Should the interpolation and selection procedures be shown to accurately reproduce the experimental limits, VLQBounds would offer a significant contribution by providing an accessible, reproducible tool for model builders to confront VLQ predictions with current LHC data. This could accelerate the exploration of VLQ parameter spaces and aid in the validation of experimental results. The emphasis on public grids and metadata supports transparency in reinterpretation efforts.

major comments (1)
  1. [§3 (VLQBounds framework description)] The reliability of the 95% CL exclusion verdicts depends critically on the accuracy of the grid interpolation and the automatic most-sensitive-channel selection logic. The manuscript describes the modular structure and metadata output but does not provide quantitative benchmark comparisons between the framework's interpolated results and the original ATLAS/CMS published limits for specific benchmark points, particularly near exclusion boundaries or in multi-parameter spaces. Such tests are essential to verify that the interpolation faithfully captures acceptance and efficiency effects implicit in the grids.
minor comments (2)
  1. [Abstract] Consider adding a brief mention of the specific LHC searches or analyses incorporated in the current version of the framework to give readers a clearer sense of the scope.
  2. [Code and documentation] Ensure that the repository link and installation instructions are prominently featured, and consider including example scripts for common use cases.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their positive evaluation of VLQBounds and for the constructive comment on validation of the interpolation procedure. We address the point below and have revised the manuscript to incorporate the requested quantitative benchmarks.

read point-by-point responses

  1. Referee: The reliability of the 95% CL exclusion verdicts depends critically on the accuracy of the grid interpolation and the automatic most-sensitive-channel selection logic. The manuscript describes the modular structure and metadata output but does not provide quantitative benchmark comparisons between the framework's interpolated results and the original ATLAS/CMS published limits for specific benchmark points, particularly near exclusion boundaries or in multi-parameter spaces. Such tests are essential to verify that the interpolation faithfully captures acceptance and efficiency effects implicit in the grids.

    Authors: We agree that explicit quantitative benchmarks are necessary to demonstrate the fidelity of the interpolation and channel-selection logic. Although VLQBounds is constructed to read the experimental grids directly (thereby incorporating the published acceptances and efficiencies by design), the original manuscript did not include side-by-side numerical comparisons. In the revised version we have added a new subsection in §3 that presents such benchmarks for representative points. These include (i) single-parameter mass scans near the published 95% CL boundaries for both pair- and single-production channels and (ii) a two-dimensional mass–width example that exercises the most-sensitive-channel selection. For each benchmark we report the relative difference between the interpolated cross section (or coupling) and the published limit, which remains at the few-percent level—well within the precision needed for reliable exclusion verdicts. These additions directly address the referee’s concern while preserving the modular character of the framework. revision: yes

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: framework compares model outputs to external LHC grids

full rationale

The paper presents VLQBounds as a tool that takes model predictions (cross sections or couplings) and compares them via interpolation to published ATLAS/CMS 95% CL limits stored in machine-readable grids. This comparison is not derived from any internal equation or fitted parameter that loops back to the framework's own definitions; the limits are external inputs. No self-citation chain, uniqueness theorem, or ansatz is invoked to justify the core logic. The central claim therefore remains independent of the paper's own outputs.

Assumptions & free parameters 0 free parameters · 1 assumptions · 0 invented entities

The central claim rests on the accuracy of external experimental grids and standard numerical interpolation; no new physical entities or fitted parameters are introduced by the framework itself.

assumptions (1)
  • domain assumption Machine-readable grids from ATLAS and CMS publications faithfully encode the observed and expected exclusion limits.
    The framework performs comparisons by interpolating over these grids as described in the abstract.

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Cite this review

Pith. "Pith review of VLQBounds: Confronting Vector-Like Quark Models with LHC Searches." pith.science (2026). https://pith.science/paper/JJREZGU4

@misc{pith2026260520848,
  author       = {Pith},
  title        = {Pith review of: VLQBounds: Confronting Vector-Like Quark Models with LHC Searches},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/JJREZGU4}},
  note         = {Machine review of arXiv:2605.20848}
}
read the original abstract

We present VLQBounds, a public, data-driven Python framework for testing Vector-Like Quark (VLQ) scenarios against Large Hadron Collider (LHC) exclusion limits from ATLAS and CMS. The framework incorporates public results on both pair and single VLQ production and supports the main parameterisations used in experimental interpretations, including mass-mixing, mass-coupling, and mass-width representations. For each parameter point, the predicted cross-section or effective coupling is compared channel by channel to the corresponding observed and expected experimental limits through interpolation over machine-readable grids. The most sensitive analysis is automatically identified and a 95\% Confidence-Level exclusion verdict is returned, together with the observed and expected sensitivity ratios and the metadata needed for reproducible reinterpretation. The modular structure of VLQBounds makes it suitable for fast phenomenological scans, validation of public limits, and future extensions to new collider searches and non-minimal VLQ decay patterns.

Figures

Figures reproduced from arXiv: 2605.20848 by the authors.

Figure 1
Figure 1. Representative VLQ production topologies: single production in panels (a) and [PITH_FULL_IMAGE:figures/full_fig_p007_1.png] view at source ↗
Figure 2
Figure 2. Layout of the VLQBounds repository [PITH_FULL_IMAGE:figures/full_fig_p016_2.png] view at source ↗
Figure 3
Figure 3. Observed 95% CL upper limit on σ(pp → T bq → tZbq) in the (mT , ΓT /mT ) plane. 1000 1200 1400 1600 1800 2000 mT [GeV] 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 T ATLAS 139 fb ¡1 (13 TeV) TT¹ and single-T interpretations, T ! Ht Observed limit ¡T=mT = 5% ¡T=mT = 10% ¡T=mT = 25% ¡T=mT = 50% ¡T=mT = 100% [PITH_FULL_IMAGE:figures/full_fig_p025_3.png] view at source ↗
Figures from the paper (2 more)
Figure 4
Figure 4. Figure 4: Observed and expected upper limits on the effective coupling [PITH_FULL_IMAGE:figures/full_fig_p025_4.png]
Figure 5
Figure 5. Figure 5: Observed 95% CL exclusion contours for six representative VLQ benchmark [PITH_FULL_IMAGE:figures/full_fig_p026_5.png]

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