pith. sign in

arxiv: 2507.08927 · v1 · pith:UHYOJH5Jnew · submitted 2025-07-11 · ✦ hep-ph

Deciphering compressed electroweakino excesses with MadAnalysis 5

Jack Y. Araz , Benjamin Fuks , Mark D. Goodsell , Taylor Murphy This is my paper

Pith reviewed 2026-05-22 00:12 UTC · model grok-4.3

classification ✦ hep-ph
keywords MadAnalysis 5electroweakinocompressed supersymmetryATLAS soft-lepton searchesmissing transverse energyNMSSMLHC Run 2 excessesstatistical limits
0
0 comments X

The pith

Version 1.11 of MadAnalysis 5 adds features to handle efficiency tables, reference-frame observables, and statistical limits for LHC excess analyses.

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

The paper introduces updates to MadAnalysis 5 that improve its ability to process efficiency information, calculate quantities in varied reference frames, and derive statistical significance or limits. These changes were motivated by the need to faithfully reproduce two ATLAS searches for supersymmetric particles that reported mild excesses in signatures involving soft leptons and missing energy. After detailing the code changes and their integration with external tools, the authors validate the re-implemented analyses and use the enhanced package to examine whether the Next-to-Minimal Supersymmetric Standard Model can simultaneously explain a broader collection of related excesses across soft-lepton, soft-jet, and missing-energy channels.

Core claim

The central claim is that the enhancements in MadAnalysis 5 version 1.11 enable accurate implementation of the ATLAS-SUSY-2018-16 and ATLAS-SUSY-2019-09 analyses. This is achieved through direct code extensions for efficiency tables and third-party integrations for frame-dependent observables and statistical computations, allowing a consistent investigation of the NMSSM as a potential source of overlapping excesses in soft-particle plus missing-transverse-energy final states.

What carries the argument

The extended MadAnalysis 5 version 1.11 framework with new modules for efficiency-table handling and statistical-limit calculations.

If this is right

  • The tool now permits direct computation of statistical limits on supersymmetric models using the same efficiency inputs as the original ATLAS papers.
  • Observables can be evaluated in both the lab frame and the rest frame of reconstructed objects within a single analysis script.
  • A larger set of overlapping LHC searches with soft leptons or jets plus missing energy can be analyzed consistently under one software framework.
  • The NMSSM parameter space can be tested against multiple correlated excesses rather than isolated signals.

Where Pith is reading between the lines

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

  • The same efficiency and statistics modules could be applied to reinterpret other mild excesses reported by ATLAS or CMS in compressed spectra.
  • Future public releases of the software might incorporate automated validation against additional published analyses to reduce manual re-implementation effort.
  • If the NMSSM fits improve with these tools, dedicated searches optimized for the predicted soft-particle kinematics could be designed.

Load-bearing premise

The two ATLAS analyses have been re-implemented inside the updated MadAnalysis 5 without errors in how efficiencies or statistics are modeled.

What would settle it

Running the updated software on the same Monte Carlo samples used by ATLAS and finding event yields or significance values that differ from the published ATLAS results by more than the quoted uncertainties would indicate a problem with the implementation.

read the original abstract

We present version 1.11 of MadAnalysis 5, which extends the software package in several major ways to improve the handling of efficiency tables, the computation of observables in different reference frames and the calculation of statistical limits and/or significance. We detail how these improvements, whose development was motivated by the desire to implement two Run 2 LHC analyses targeting signatures with soft leptons and missing energy and exhibiting mild excesses (ATLAS-SUSY-2018-16 and ATLAS-SUSY-2019-09), have been implemented by both direct extensions of the code and integrations with third-party software. We then document the implementation and validation of these analyses, demonstrating their utility along with the improved statistics capabilities of MadAnalysis 5 through an investigation of the Next-to-Minimal Supersymmetric Standard Model in the context of a larger set of overlapping excesses in channels with soft leptons/jets and missing transverse energy.

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

1 major / 3 minor

Summary. The manuscript presents version 1.11 of MadAnalysis 5, which adds capabilities for handling efficiency tables, computing observables in alternative reference frames, and performing statistical limit and significance calculations. These extensions were developed to enable re-implementation of two ATLAS Run 2 searches (ATLAS-SUSY-2018-16 and ATLAS-SUSY-2019-09) that target soft-lepton plus missing-energy signatures and report mild excesses; the paper documents the code changes, states that validation was performed, and applies the framework to an NMSSM interpretation of these and related overlapping excesses.

Significance. If the re-implementations are shown to reproduce the ATLAS results at the level needed to interpret the excesses, the work supplies a publicly usable extension to an established analysis package that addresses recurring technical issues in compressed electroweakino searches. The new efficiency-table and statistics modules could improve reproducibility for the broader LHC phenomenology community.

major comments (1)
  1. [Validation section] Validation section (implementation and validation of the two ATLAS analyses): the manuscript states that the re-implementations of ATLAS-SUSY-2018-16 and ATLAS-SUSY-2019-09 were validated, yet provides no quantitative, point-by-point comparison against the collaboration's published cut-flow tables, efficiency maps, or public likelihoods for the signal benchmarks used to claim the mild excesses. Any systematic difference in object definitions, isolation, or MET reconstruction would directly affect the reported significances and the subsequent NMSSM conclusions.
minor comments (3)
  1. [Abstract] The abstract refers to 'a larger set of overlapping excesses' without enumerating the additional analyses or channels that are included in the NMSSM study.
  2. [Figures] Figure captions and axis labels for any validation or limit plots should explicitly state whether the MadAnalysis results are overlaid on the original ATLAS values or derived quantities.
  3. [Code and data availability] Ensure that the updated MadAnalysis 5 code, efficiency-table handling routines, and any validation scripts are deposited in a public repository with version tags and reproduction instructions.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the thorough review of our manuscript. We address the major comment on the validation of the ATLAS analyses below.

read point-by-point responses

  1. Referee: Validation section (implementation and validation of the two ATLAS analyses): the manuscript states that the re-implementations of ATLAS-SUSY-2018-16 and ATLAS-SUSY-2019-09 were validated, yet provides no quantitative, point-by-point comparison against the collaboration's published cut-flow tables, efficiency maps, or public likelihoods for the signal benchmarks used to claim the mild excesses. Any systematic difference in object definitions, isolation, or MET reconstruction would directly affect the reported significances and the subsequent NMSSM conclusions.

    Authors: We agree with the referee that explicit quantitative validation is essential to substantiate the re-implementations and support the subsequent NMSSM interpretation. While the manuscript describes the analysis implementations and states that validation against ATLAS results was performed, we acknowledge that detailed point-by-point comparisons with published cut-flow tables, efficiency maps, and yields for the relevant signal benchmarks were not included. In the revised manuscript we will add explicit tables and figures presenting these comparisons for the benchmark points used in the excess interpretation. Where public likelihood information is available from the ATLAS collaboration we will also include direct comparisons to the statistical outputs. revision: yes

Circularity Check

0 steps flagged

No significant circularity in software extensions or analysis re-implementations

full rationale

The paper describes code-level extensions to MadAnalysis 5 for efficiency tables, reference-frame observables, and statistical modules, followed by documentation of re-implementations of two external ATLAS analyses (ATLAS-SUSY-2018-16 and ATLAS-SUSY-2019-09) and an NMSSM interpretation. No load-bearing steps reduce by construction to self-defined quantities, fitted inputs renamed as predictions, or self-citation chains. Validation is framed against external published analyses rather than internal parameter fits, rendering the central claims self-contained against independent benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper introduces no new free parameters, axioms beyond standard particle-physics Monte-Carlo assumptions, or invented entities; all physics content is taken from published ATLAS analyses and the NMSSM framework.

axioms (1)
  • domain assumption Standard assumptions underlying LHC Monte-Carlo event generation and detector simulation remain valid for the re-implemented analyses.
    Invoked when the authors state that the new modules correctly reproduce the ATLAS results.

pith-pipeline@v0.9.0 · 5693 in / 1270 out tokens · 61117 ms · 2026-05-22T00:12:36.220823+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Forward citations

Cited by 1 Pith paper

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

  1. Composite top partners in exotic colour representations

    hep-ph 2026-05 unverdicted novelty 6.0

    Colour-sextet top partners in composite Higgs models are excluded up to 2-2.5 TeV by current LHC data via top-rich decays, with HL-LHC reach near 3 TeV.

Reference graph

Works this paper leans on

115 extracted references · 115 canonical work pages · cited by 1 Pith paper · 36 internal anchors

  1. [1]

    9 (2020) 022 [2003.07868]

    LHC Reinterpretation Forum collaboration, Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2, SciPost Phys. 9 (2020) 022 [2003.07868]

    work page arXiv 2020

  2. [2]

    SModelS: a tool for interpreting simplified-model results from the LHC and its application to supersymmetry

    S. Kraml, S. Kulkarni, U. Laa, A. Lessa, W. Magerl, D. Proschofsky-Spindler et al., SModelS: a tool for interpreting simplified-model results from the LHC and its application to supersymmetry, Eur. Phys. J. C 74 (2014) 2868 [1312.4175]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  3. [3]

    Ambrogi et al., SModelS v1.2: long-lived particles, combination of signal regions, and other novelties, Comput

    F. Ambrogi et al., SModelS v1.2: long-lived particles, combination of signal regions, and other novelties, Comput. Phys. Commun. 251 (2020) 106848 [1811.10624]

    work page arXiv 2020

  4. [4]

    Alguero, S

    G. Alguero, S. Kraml and W. Waltenberger, A SModelS interface for pyhf likelihoods, Comput. Phys. Commun. 264 (2021) 107909 [2009.01809]

    work page arXiv 2021

  5. [5]

    Alguero, J

    G. Alguero, J. Heisig, C.K. Khosa, S. Kraml, S. Kulkarni, A. Lessa et al., Constraining new physics with SModelS version 2, JHEP 08 (2022) 068 [2112.00769]

    work page arXiv 2022

  6. [6]

    Altakach, S

    M.M. Altakach, S. Kraml, A. Lessa, S. Narasimha, T. Pascal, C. Ramos et al., SModelS v3: going beyond Z2 topologies, JHEP 11 (2024) 074 [2409.12942]

    work page arXiv 2024

  7. [7]

    MadAnalysis 5, a user-friendly framework for collider phenomenology

    E. Conte, B. Fuks and G. Serret, MadAnalysis 5, A User-Friendly Framework for Collider Phenomenology, Comput. Phys. Commun. 184 (2013) 222 [1206.1599]

    work page internal anchor Pith review Pith/arXiv arXiv 2013

  8. [8]

    Designing and recasting LHC analyses with MadAnalysis 5

    E. Conte, B. Dumont, B. Fuks and C. Wymant, Designing and recasting LHC analyses with MadAnalysis 5, Eur. Phys. J. C 74 (2014) 3103 [1405.3982]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  9. [9]

    Confronting new physics theories to LHC data with MadAnalysis 5

    E. Conte and B. Fuks, Confronting new physics theories to LHC data with MADANALYSIS 5, Int. J. Mod. Phys. A 33 (2018) 1830027 [1808.00480]. 19

    work page internal anchor Pith review Pith/arXiv arXiv 2018

  10. [10]

    Goodsell and L

    M.D. Goodsell and L. Priya, Long dead winos, Eur. Phys. J. C 82 (2022) 235 [2106.08815]

    work page arXiv 2022

  11. [11]

    HackAnalysis 2: A powerful and hackable recasting tool,

    M.D. Goodsell, HackAnalysis 2: A powerful and hackable recasting tool, 2406.10042

    work page arXiv

  12. [12]

    GAMBIT collaboration, ColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods, Eur. Phys. J. C 77 (2017) 795 [1705.07919]

    work page arXiv 2017

  13. [13]

    CheckMATE 2: From the model to the limit

    D. Dercks, N. Desai, J.S. Kim, K. Rolbiecki, J. Tattersall and T. Weber,CheckMATE 2: From the model to the limit, Comput. Phys. Commun. 221 (2017) 383 [1611.09856]

    work page internal anchor Pith review Pith/arXiv arXiv 2017

  14. [14]

    CheckMATE collaboration, Constraining electroweak and strongly charged long-lived particles with CheckMATE, Eur. Phys. J. C 81 (2021) 968 [2104.04542]

    work page arXiv 2021

  15. [15]

    Buckley, J

    A. Buckley, J. Butterworth, D. Grellscheid, H. Hoeth, L. Lonnblad, J. Monk et al., Rivet user manual, Comput. Phys. Commun. 184 (2013) 2803 [1003.0694]

    work page arXiv 2013

  16. [16]

    Buckley, D

    A. Buckley, D. Kar and K. Nordstr ¨om, Fast simulation of detector effects in Rivet, SciPost Phys. 8 (2020) 025 [1910.01637]

    work page arXiv 2020

  17. [17]

    Bierlich et al.,Robust Independent Validation of Experiment and Theory: Rivet version 3, SciPost Phys.8 (2020) 026, arXiv:1912.05451 [hep-ph]

    C. Bierlich et al., Robust Independent Validation of Experiment and Theory: Rivet version 3, SciPost Phys. 8 (2020) 026 [1912.05451]

    work page arXiv 2020

  18. [18]

    Bierlich, A

    C. Bierlich, A. Buckley, J.M. Butterworth, C. Gutschow, L. Lonnblad, T. Procter et al., Robust independent validation of experiment and theory: Rivet version 4 release note, SciPost Phys. Codeb. 36 (2024) 1 [2404.15984]

    work page arXiv 2024

  19. [19]

    Constraining new physics with collider measurements of Standard Model signatures

    J.M. Butterworth, D. Grellscheid, M. Kr ¨amer, B. Sarrazin and D. Yallup,Constraining new physics with collider measurements of Standard Model signatures, JHEP 03 (2017) 078 [1606.05296]

    work page internal anchor Pith review Pith/arXiv arXiv 2017

  20. [20]

    Buckley et al., Testing new physics models with global comparisons to collider measurements: the Contur toolkit, SciPost Phys

    A. Buckley et al., Testing new physics models with global comparisons to collider measurements: the Contur toolkit, SciPost Phys. Core 4 (2021) 013 [2102.04377]

    work page arXiv 2021

  21. [21]

    CONTUR collaboration, Constraints On New Theories Using Rivet : CONTUR version 3 release note, 2505.09272

    work page arXiv

  22. [22]

    Towards a public analysis database for LHC new physics searches using MadAnalysis 5

    B. Dumont, B. Fuks, S. Kraml, S. Bein, G. Chalons, E. Conte et al., Toward a public analysis database for LHC new physics searches using MADANALYSIS 5, Eur. Phys. J. C 75 (2015) 56 [1407.3278]

    work page internal anchor Pith review Pith/arXiv arXiv 2015

  23. [23]

    J.Y. Araz, B. Fuks and G. Polykratis, Simplified fast detector simulation in MADANALYSIS 5, Eur. Phys. J. C 81 (2021) 329 [2006.09387]

    work page arXiv 2021

  24. [24]

    J.Y. Araz, B. Fuks, M.D. Goodsell and M. Utsch, Recasting LHC searches for long-lived particles with MadAnalysis 5, Eur. Phys. J. C 82 (2022) 597 [2112.05163]

    work page arXiv 2022

  25. [25]

    J.Y. Araz, A. Buckley and B. Fuks, Searches for new physics with boosted top quarks in the MadAnalysis 5 and Rivet frameworks, Eur. Phys. J. C 83 (2023) 664 [2303.03427]

    work page arXiv 2023

  26. [26]

    Read, Presentation of search results: The 𝐶 𝐿𝑠 technique, J

    A.L. Read, Presentation of search results: The 𝐶 𝐿𝑠 technique, J. Phys. G 28 (2002) 2693

    work page 2002

  27. [27]

    CMS collaboration, Simplified likelihood for the re-interpretation of public CMS results, Tech. Rep. CMS-NOTE-2017-001, CERN, Geneva (Jan, 2017)

    work page 2017

  28. [28]

    ATLAS collaboration, Reproducing searches for new physics with the ATLAS experiment through publication of full statistical likelihoods, Tech. Rep. ATL-PHYS-PUB-2019-029, CERN, Geneva (2019)

    work page 2019

  29. [29]

    Alguero, J.Y

    G. Alguero, J.Y. Araz, B. Fuks and S. Kraml, Signal region combination with full and simplified likelihoods in MadAnalysis 5, SciPost Phys. 14 (2023) 009 [2206.14870]

    work page arXiv 2023

  30. [30]

    J.Y. Araz, M. Frank and B. Fuks, Reinterpreting the results of the LHC with MadAnalysis 5: uncertainties and higher-luminosity estimates, Eur. Phys. J. C 80 (2020) 531 [1910.11418]

    work page arXiv 2020

  31. [31]

    Canepa, T

    A. Canepa, T. Han and X. Wang, The Search for Electroweakinos, Ann. Rev. Nucl. Part. Sci.70 (2020) 425 [2003.05450]

    work page arXiv 2020

  32. [32]

    Buanes, I.n

    T. Buanes, I.n. Lara, K. Rolbiecki and K. Sakurai, LHC constraints on electroweakino dark matter revisited, Phys. Rev. D 107 (2023) 095021 [2208.04342]

    work page arXiv 2023

  33. [33]

    J. Cao, F. Li, J. Lian, Y. Pan and D. Zhang, Impact of LHC probes of SUSY and recent measurement of (𝑔 − 2) 𝜇 on Z3-NMSSM, Sci. China Phys. Mech. Astron. 65 (2022) 291012 [2204.04710]

    work page arXiv 2022

  34. [34]

    Domingo, U

    F. Domingo, U. Ellwanger and C. Hugonie, 𝑀𝑊, dark matter and 𝑎𝜇 in the NMSSM, Eur. Phys. J. C 82 (2022) 1074 [2209.03863]

    work page arXiv 2022

  35. [35]

    Barman, G

    R.K. Barman, G. B ´elanger, B. Bhattacherjee, R.M. Godbole and R. Sengupta, Is Light Neutralino Thermal Dark Matter in the Phenomenological Minimal Supersymmetric Standard Model Ruled Out?, Phys. Rev. Lett. 131 (2023) 011802 [2207.06238]

    work page arXiv 2023

  36. [36]

    S. Baum, M. Carena, T. Ou, D. Rocha, N.R. Shah and C.E.M. Wagner, Lighting up the LHC with Dark Matter, JHEP 11 (2023) 037 [2303.01523]

    work page arXiv 2023

  37. [37]

    Stark, C.A

    G. Stark, C.A. Ots and M. Hance, Reduce, Reuse, Reinterpret: an end-to-end pipeline for recycling particle physics results, 2306.11055

    work page arXiv

  38. [38]

    H. Baer, V. Barger, X. Tata and K. Zhang, Winos from natural SUSY at the high luminosity LHC, Phys. Rev. D 109 (2024) 015027 [2310.10829]

    work page arXiv 2024

  39. [39]

    J. Cao, L. Meng and Y. Yue, Electron and muon anomalous magnetic moments in the Z3-NMSSM, Phys. Rev. D 108 (2023) 035043 [2306.06854]

    work page arXiv 2023

  40. [40]

    Ashanujjaman and S.P

    S. Ashanujjaman and S.P. Maharathy, Probing compressed mass spectra in the type-II seesaw model at the LHC, Phys. Rev. D 107 (2023) 115026 [2305.06889]

    work page arXiv 2023

  41. [41]

    Carpenter, H

    L.M. Carpenter, H. Gilmer, J. Kawamura and T. Murphy, Taking aim at the wino-Higgsino plane with the LHC, Phys. Rev. D 109 (2024) 015012 [2309.07213]

    work page arXiv 2024

  42. [42]

    Altakach, S

    M.M. Altakach, S. Kraml, A. Lessa, S. Narasimha, T. Pascal, T. Reymermier et al., Global LHC constraints on electroweak-inos with SModelS v2.3, SciPost Phys. 16 (2024) 101 [2312.16635]

    work page arXiv 2024

  43. [43]

    H. Baer, V. Barger, J. Bolich, J. Dutta and D. Sengupta, Natural anomaly mediation from the landscape with implications for LHC SUSY searches, Phys. Rev. D 109 (2024) 035011 [2311.18120]

    work page arXiv 2024

  44. [44]

    Roy and C.E.M

    S. Roy and C.E.M. Wagner, Dark Matter searches with photons at the LHC, JHEP 04 (2024) 106 [2401.08917]

    work page arXiv 2024

  45. [45]

    H. Baer, V. Barger, D. Martinez and S. Salam, Weak Scale Supersymmetry Emergent from the String Landscape, Entropy 26 (2024) 275 [2402.17859]

    work page arXiv 2024

  46. [46]

    Chakraborti, S

    M. Chakraborti, S. Heinemeyer and I. Saha, Consistent excesses in the search for ˜𝜒0 2 ˜𝜒± 1 : wino/bino vs. Higgsino dark matter, Eur. Phys. J. C 84 (2024) 812 [2403.14759]

    work page arXiv 2024

  47. [47]

    Martin, Implications of purity constraints on light Higgsinos, Phys

    S.P. Martin, Implications of purity constraints on light Higgsinos, Phys. Rev. D 109 (2024) 095045 [2403.19598]

    work page arXiv 2024

  48. [48]

    D. Agin, B. Fuks, M.D. Goodsell and T. Murphy, Seeking a coherent explanation of LHC excesses for compressed spectra, Eur. Phys. J. C 84 (2024) 1218 [2404.12423]

    work page arXiv 2024

  49. [49]

    Ellwanger, C

    U. Ellwanger, C. Hugonie, S.F. King and S. Moretti, NMSSM explanation for excesses in the search for neutralinos and charginos and a 95 GeV Higgs boson, Eur. Phys. J. C 84 (2024) 788 [2404.19338]

    work page arXiv 2024

  50. [50]

    Capdevilla, F

    R. Capdevilla, F. Meloni and J. Zurita, Discovering Electroweak Interacting Dark Matter at Muon Colliders using Soft Tracks, 2405.08858

    work page arXiv

  51. [51]

    Fuks, M.D

    B. Fuks, M.D. Goodsell and T. Murphy, Monojets from compressed weak frustrated dark matter, 2409.03014

    work page arXiv

  52. [52]

    Martin, Curtain lowers on directly detectable higgsino dark matter, Phys

    S.P. Martin, Curtain lowers on directly detectable higgsino dark matter, Phys. Rev. D 111 (2025) 075004 [2412.08958]

    work page arXiv 2025

  53. [53]

    D. Agin, B. Fuks, M.D. Goodsell and T. Murphy, A joint explanation for the soft lepton and monojet LHC excesses in the wino-bino model, 2506.21676. 20

    work page arXiv

  54. [54]

    D. Agin, B. Fuks, M.D. Goodsell and T. Murphy, Monojets reveal overlapping excesses for light compressed higgsinos, Phys. Lett. B 853 (2024) 138597 [2311.17149]

    work page arXiv 2024

  55. [55]

    ATLAS collaboration, Search for new phenomena in events with an energetic jet and missing transverse momentum in 𝑝 𝑝 collisions at √𝑠 =13 TeV with the ATLAS detector, Phys. Rev. D 103 (2021) 112006 [2102.10874]

    work page arXiv 2021

  56. [56]

    High Energy Phys

    CMS collaboration, Search for new particles in events with energetic jets and large missing transverse momentum in proton-proton collisions at √𝑠 = 13 TeV, J. High Energy Phys. 11 (2021) 153 [2107.13021]

    work page arXiv 2021

  57. [57]

    ATLAS collaboration, Searches for electroweak production of supersymmetric particles with compressed mass spectra in √𝑠 = 13 TeV 𝑝 𝑝 collisions with the ATLAS detector, Phys. Rev. D 101 (2020) 052005 [1911.12606]

    work page arXiv 2020

  58. [58]

    ATLAS collaboration, Search for chargino–neutralino pair production in final states with three leptons and missing transverse momentum in √𝑠 = 13 TeV pp collisions with the ATLAS detector, Eur. Phys. J. C 81 (2021) 1118 [2106.01676]

    work page arXiv 2021

  59. [59]

    CMS collaboration, Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at √𝑠 = 13 TeV, JHEP 04 (2022) 091 [2111.06296]

    work page arXiv 2022

  60. [60]

    Araz, Spey: Smooth inference for reinterpretation studies, SciPost Phys

    J.Y. Araz, Spey: Smooth inference for reinterpretation studies, SciPost Phys. 16 (2024) 032 [2307.06996]

    work page arXiv 2024

  61. [61]

    The Next-to-Minimal Supersymmetric Standard Model

    U. Ellwanger, C. Hugonie and A.M. Teixeira, The Next-to-Minimal Supersymmetric Standard Model, Phys. Rept. 496 (2010) 1 [0910.1785]

    work page internal anchor Pith review Pith/arXiv arXiv 2010

  62. [62]

    Recursive Jigsaw Reconstruction: HEP event analysis in the presence of kinematic and combinatoric ambiguities

    P. Jackson and C. Rogan, Recursive Jigsaw Reconstruction: HEP event analysis in the presence of kinematic and combinatoric ambiguities, Phys. Rev. D 96 (2017) 112007 [1705.10733]

    work page internal anchor Pith review Pith/arXiv arXiv 2017

  63. [63]

    Sparticles in Motion - getting to the line in compressed scenarios with the Recursive Jigsaw Reconstruction

    P. Jackson, C. Rogan and M. Santoni, Sparticles in motion: Analyzing compressed SUSY scenarios with a new method of event reconstruction, Phys. Rev. D 95 (2017) 035031 [1607.08307]

    work page internal anchor Pith review Pith/arXiv arXiv 2017

  64. [64]

    Nelder and R

    J.A. Nelder and R. Mead, A Simplex Method for Function Minimization, Comput. J. 7 (1965) 308

    work page 1965

  65. [65]

    Fuks and M

    B. Fuks and M. Goodsell, Implementation of a search for electroweakinos with soft di-leptons and jigsaw variables (139/fb; ATLAS-SUSY-2018-16), 2025. 10.14428/DVN/1CPXHX

    work page doi:10.14428/dvn/1cpxhx 2018

  66. [66]

    Araz, Speysidehep/spey: v0.2.4, June, 2025

    J.Y. Araz, Speysidehep/spey: v0.2.4, June, 2025. 10.5281/zenodo.15738836

    work page doi:10.5281/zenodo.15738836 2025

  67. [67]

    Araz, Speysidehep/spey-pyhf: v0.2.0, Feb., 2025

    J.Y. Araz, Speysidehep/spey-pyhf: v0.2.0, Feb., 2025. 10.5281/zenodo.14945825

    work page doi:10.5281/zenodo.14945825 2025

  68. [68]

    Hunting Quasi-Degenerate Higgsinos

    Z. Han, G.D. Kribs, A. Martin and A. Menon, Hunting quasidegenerate Higgsinos, Phys. Rev. D 89 (2014) 075007 [1401.1235]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  69. [69]

    H. Baer, A. Mustafayev and X. Tata, Monojet plus soft dilepton signal from light higgsino pair production at LHC14, Phys. Rev. D 90 (2014) 115007 [1409.7058]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  70. [70]

    A boost for the EW SUSY hunt: monojet-like search for compressed sleptons at LHC14 with 100 fb^-1

    A. Barr and J. Scoville, A boost for the EW SUSY hunt: monojet-like search for compressed sleptons at LHC14 with 100 fb−1, JHEP 04 (2015) 147 [1501.02511]

    work page internal anchor Pith review Pith/arXiv arXiv 2015

  71. [71]

    Matching matrix elements and shower evolution for top-quark production in hadronic collisions

    M.L. Mangano, M. Moretti, F. Piccinini and M. Treccani, Matching matrix elements and shower evolution for top-quark production in hadronic collisions, JHEP 01 (2007) 013 [hep-ph/0611129]

    work page internal anchor Pith review Pith/arXiv arXiv 2007

  72. [72]

    QCD radiation in the production of heavy colored particles at the LHC

    J. Alwall, S. de Visscher and F. Maltoni, QCD radiation in the production of heavy colored particles at the LHC, JHEP 02 (2009) 017 [0810.5350]

    work page internal anchor Pith review Pith/arXiv arXiv 2009

  73. [73]

    The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

    J. Alwall, R. Frederix, S. Frixione, V. Hirschi, F. Maltoni, O. Mattelaer et al., The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations, JHEP 07 (2014) 079 [1405.0301]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  74. [74]

    UFO - The Universal FeynRules Output

    C. Degrande, C. Duhr, B. Fuks, D. Grellscheid, O. Mattelaer and T. Reiter,UFO - The Universal FeynRules Output, Comput. Phys. Commun. 183 (2012) 1201 [1108.2040]

    work page internal anchor Pith review Pith/arXiv arXiv 2012

  75. [75]

    Darm ´e et al., UFO 2.0: the ‘Universal Feynman Output’ format, Eur

    L. Darm ´e et al., UFO 2.0: the ‘Universal Feynman Output’ format, Eur. Phys. J. C 83 (2023) 631 [2304.09883]

    work page arXiv 2023

  76. [76]

    A superspace module for the FeynRules package

    C. Duhr and B. Fuks, A superspace module for the FeynRules package, Comput. Phys. Commun. 182 (2011) 2404 [1102.4191]

    work page internal anchor Pith review Pith/arXiv arXiv 2011

  77. [77]

    NNPDF collaboration, The path to proton structure at 1% accuracy, Eur. Phys. J. C 82 (2022) 428 [2109.02653]

    work page arXiv 2022

  78. [78]

    LHAPDF6: parton density access in the LHC precision era

    A. Buckley, J. Ferrando, S. Lloyd, K. Nordstr ¨om, B. Page, M. R¨ ufenacht et al.,LHAPDF6: parton density access in the LHC precision era, Eur. Phys. J. C 75 (2015) 132 [1412.7420]

    work page internal anchor Pith review Pith/arXiv arXiv 2015

  79. [79]

    A comprehensive guide to the physics and usage of PYTHIA 8.3

    C. Bierlich et al., A comprehensive guide to the physics and usage of PYTHIA 8.3, SciPost Phys. Codeb. 2022 (2022) 8 [2203.11601]

    work page internal anchor Pith review Pith/arXiv arXiv 2022

  80. [80]

    B. Fuks, M. Klasen, D.R. Lamprea and M. Rothering, Precision predictions for electroweak superpartner production at hadron colliders with Resummino, Eur. Phys. J. C 73 (2013) 2480 [1304.0790]

    work page internal anchor Pith review Pith/arXiv arXiv 2013

Showing first 80 references.