Pith. sign in

REVIEW 5 minor 68 references

This search finds no displaced dilepton vertices in the full Run-2 ATLAS dataset and sets leading 95% confidence upper limits on long-lived Z', gluino, and electroweakino production, covering parameter space not previously probed.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · deepseek-v4-flash

2026-08-03 11:33 UTC pith:U2764DAH

load-bearing objection Solid ATLAS null result: full Run-2 dilepton displaced-vertex search with zero events, credible backgrounds, and leading limits; worth refereeing and citing.

arxiv 2601.05664 v2 pith:U2764DAH submitted 2026-01-09 hep-ex

Search for long-lived particles using displaced vertices of oppositely charged leptons in 140 fb⁻¹ of pp collisions at sqrt{s} = 13 TeV with the ATLAS detector

classification hep-ex
keywords long-lived particlesdisplaced verticesdilepton pairsATLASLHCR-parity violationsupersymmetryZ' boson
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

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

The ATLAS Collaboration is trying to establish whether long-lived particles that decay into a pair of oppositely charged electrons or muons exist in the full 140 fb^-1 Run-2 dataset. The search covers masses from 0.1 to 2.2 TeV and lifetimes of 1 to 10,000 mm by looking for vertices displaced from the primary collision point inside the inner tracker. It finds no such candidate, so the central result is a set of 95% confidence upper limits on production cross-sections for three benchmark models: a long-lived Z' from scalar decay, and R-parity-violating supersymmetric gluino and electroweakino models with a long-lived neutralino decaying to two leptons plus a neutrino. If correct, these are the leading limits for these channels and cover parameter space that no previous search directly probed.

Core claim

On the paper's own terms, the central discovery is an absence: after applying the full selection to 140 fb^-1 of data, zero events pass the signal region, consistent with the expected background from cosmic-ray muons (roughly 0.008 muon-pair events) and from randomly crossing lepton tracks (upper limit on the per-pair probability near 10^-6). The analysis therefore reports 95% confidence upper limits on production cross-sections. For electroweakino production, neutralinos of 0.1–0.5 TeV are excluded for all lifetimes in the 1–10,000 mm range, with smaller lifetime ranges excluded at higher masses; for gluino production with a 1.5 TeV gluino, nearly all neutralino masses and lifetimes are exc

What carries the argument

The analysis hinges on a dedicated displaced-vertex reconstruction algorithm that uses both standard tracks and large-radius tracks, whose loosened impact-parameter requirements recover electrons and muons from decays far from the beamline. Selection requires the vertex's transverse displacement Rxy > 2 mm, a fiducial volume bounded by the innermost silicon-strip layer, an invariant mass above 12 GeV, and a trigger based on muon-spectrometer-only or photon calorimeter objects so that the displaced leptons are not lost to track-based triggers. The background from random track crossings is estimated with a data-driven event-mixing technique: pairs of leptons from different events are spatially

Load-bearing premise

The analysis assumes that the data-driven event-mixing technique—shifting lepton tracks from different events around a new primary vertex while keeping their original silicon hit patterns—faithfully reproduces the probability that random lepton tracks in real data form a reconstructed displaced vertex; this is validated only with non-leptonic tracks and assigned a 15% systematic uncertainty.

What would settle it

A single observed event in the signal region, or a single toy mixed event that reconstructs a displaced vertex passing all cuts, would falsify the zero-candidate result and force the background probability above its assumed O(10^-6) ceiling. A more targeted check: re-run the event-mixing with full re-simulation of the silicon hit patterns for shifted tracks; if the predicted number of non-leptonic displaced vertices changes by more than the quoted 15%, the background estimate and resulting limits would need revision.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • Any model predicting a long-lived Z' or RPV neutralino in the probed mass and lifetime range with a larger cross-section is excluded at 95% confidence.
  • For the electroweakino benchmark, neutralinos of 0.1–0.5 TeV are excluded for all lifetimes from 1 to 10,000 mm, and for the 1.5 TeV gluino benchmark nearly all neutralino masses are excluded over the full lifetime range.
  • Because only a single displaced vertex is required, the limits constrain single-LLP production as well as pair production, broadening the set of models to which the result applies.
  • The search establishes a full-Run-2 baseline for displaced dilepton vertices, allowing future searches at higher energy or luminosity to compare sensitivity directly and to reinterpret the zero-candidate result for new benchmark models.

Where Pith is reading between the lines

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

  • A natural extension is to combine or reinterpret these limits with the muon-spectrometer-only and CMS displaced-muon searches, which cover longer lifetimes; the complementarity suggests that combined coverage from roughly 1 mm to beyond 10 m may already exclude a broader class of RPV neutralino models than any single search.
  • The event-mixing background method, if further validated with full hit re-simulation, could become a reusable tool for zero-background displaced-vertex searches at the HL-LHC, where single-vertex event selection can be applied to other decay signatures.
  • A testable extension is to apply the identical trigger and event-selection strategy to the Run-3 13.6 TeV dataset; the expected background should remain near zero, so any observed displaced dilepton vertex would be a discovery candidate.
  • Because the analysis explicitly permits additional tracks in the displaced vertex, it is sensitive to LLP decays with hadronic products alongside leptons; the public limit tables could be recast to hidden-valley or other models with similar decay topologies.

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

0 major / 5 minor

Summary. The paper reports a search for long-lived neutral particles decaying to oppositely charged lepton pairs (ee, eμ, μμ) that form displaced vertices reconstructed in the ATLAS inner detector, using 140 fb^-1 of 13 TeV pp collision data. The analysis uses large-radius tracks, triggers that do not rely on ID-track information, and a dedicated DV reconstruction algorithm. Backgrounds are estimated entirely from data: cosmic-ray muons via an exponential extrapolation of an inverted-cosmic-veto control region, and random track crossings via a toy-mixing method in which leptons from different data events are shifted around a new primary vertex. The signal region is blinded until background and systematic procedures are finalized. Zero events are observed, consistent with the small expected backgrounds. Upper limits at 95% confidence are set for a scalar-produced Z' pair model and for RPV SUSY gluino and electroweakino production, covering neutralino masses 0.1-2.2 TeV and cτ from 1 to 10000 mm. The paper claims leading exclusions for several of these models.

Significance. The result, if accepted, is a significant null search from the full ATLAS Run-2 dataset, and it is the first analysis to cover all three dilepton channels (ee, eμ, μμ) in the inner detector with this dataset. The analysis is technically careful: the signal region was blinded; both background sources are data-driven; the toy-mixing method was validated by shifting signal-MC tracks (1.1% net effect) and by a non-leptonic closure test that yields a 15% systematic; the dominant track/DV reconstruction uncertainty is derived from Ks data/MC comparisons and treated conservatively; and the CLs limits are computed with 25,000 toys. A key robustness point is that the observed upper limits in this zero-event counting experiment are essentially independent of the small background normalizations: with zero observed events, the CLs ratio is e^{-s}, so the toy-mixing and cosmic-ray background estimates do not affect the central exclusion. The remaining issues are presentation-level and are listed below.

minor comments (5)
  1. [Section 8 (random-track-crossing systematic)] The quoted 15% systematic does not follow immediately from the stated numbers: predicted 143800 ± 4200, observed 126210. The relative difference with respect to the prediction is 12.2%; combining in quadrature with the 2.9% statistical uncertainty gives about 12.6% (or 14.3% relative to the data count), not 15%. Please check the arithmetic or clarify the definition used.
  2. [Abstract and Section 10] The claim that the analysis 'sets leading limits' is somewhat stronger than what is demonstrated. For the dimuon channel, Ref. [10] already sets limits on gluino-produced neutralino decays using standalone muons at longer lifetimes; the present analysis is complementary in the inner-detector lifetime range. Please add a brief quantitative comparison with previous results or qualify the claim to specify the channels and lifetime range where the limits are leading.
  3. [Section 6.1] The statement that 'the combined trigger efficiency is typically above 80% for all vertex types' is not clearly scoped. For eμ vertices, the diphoton trigger is not applicable, so the only relevant triggers are the single-photon trigger (pT > 140 GeV) and the MS-only muon trigger (pT > 60 GeV, |η| < 1.05). The efficiency statement should either specify the benchmark phase space over which it holds or be softened to avoid overgeneralization.
  4. [Section 8 (reconstruction systematic)] The sentence 'The statistical analysis discussed in Section 9 does not have a strong dependence on this dominant uncertainty' is not quantified. For a zero-background counting experiment, a 44% efficiency uncertainty can change a cross-section limit by a factor of order 1.5 or more, depending on the CLs prescription. Please provide a quantitative justification or rephrase the statement to indicate that the conservative method is chosen for safety rather than because the dependence is negligible.
  5. [Sections 7 and 9] Given that the toy-mixing method retains original silicon hit patterns after spatial shifting, and the leptonic background is validated only indirectly via non-leptonic tracks, it would be helpful to explicitly state that the observed upper limits are insensitive to the random-track-crossing background because the observed count is zero and CLs for zero events does not depend on the background normalization. This would preempt a natural concern about the robustness of the central result.

Circularity Check

0 steps flagged

No significant circularity: the null result and limits are data-driven observations and standard model-interpretation, not derived from the signal models by construction.

full rationale

The central result is an observed zero-event count in a detector-level signal region, which is a direct data observation rather than an output of any fitted model. All backgrounds are estimated from data: the cosmic-ray background from a control-region exponential extrapolation, and the random-track-crossing background from toy mixing in which zero reconstructed displaced vertices pass the selection in 10^6-10^8 trials per channel. The toy method is validated against data using non-leptonic tracks (126210 observed vs 143800 +/- 4200 predicted), with the discrepancy assigned as a 15% systematic, and the paper explicitly acknowledges the hit-pattern limitation of the shifting procedure. The benchmark Z' and RPV SUSY models are used only for interpretation: Monte Carlo signal efficiencies and theoretical cross-sections convert the observed zero count into 95% CL upper limits. In the limit-setting fit, the random-track-crossing probability is treated as a nuisance parameter constrained by the toy control region and fitted simultaneously with the signal strength; this is a standard joint likelihood and is conservative, not a fitted parameter renamed as a prediction. Self-citations to previous ATLAS analyses (e.g., Refs. [9], [47-50]) concern selection criteria, systematic-uncertainty methodology, and lifetime reweighting details; they are methodological and not load-bearing for the physical exclusion claim. No step in the derivation reduces to its own inputs by definition, and no uniqueness or ansatz claim is imported from self-citations to force the result.

Axiom & Free-Parameter Ledger

5 free parameters · 8 axioms · 0 invented entities

The paper does not introduce new particles, forces, or dimensions; it searches for existing hypothesized LLPs (Z', neutralino) within literature benchmark models. The central claim rests on standard detector-simulation assumptions, data-driven background estimates, and theory cross-sections from prior literature. The main parameters fitted to data are the signal strength and random-track crossing probability in the limit-setting fit, plus the eμ cosmic normalization scaled from the dimuon channel.

free parameters (5)
  • signal strength μ = Not quoted; fitted O(10^-10) with large uncertainty (Section 9)
    Scale factor for hypothesized signal, fitted simultaneously with the crossing probability against zero observed events in the single-bin counting experiment to set 95% CL limits.
  • random-track crossing probability p = Fitted O(10^-10); upper limit O(10^-6) from toy events
    Probability that two randomly crossing lepton tracks produce a signal DV; treated as a floating parameter because zero toy DVs passed the selection (Sections 7 and 9).
  • eμ cosmic background normalization = (1.2 ± 0.9) × 10^-5 events
    Scaled from the dimuon cosmic estimate by the ratio of control-region statistics under the assumption that the ΔR_cos distribution shape is the same (Section 7).
  • EWkino mass splitting Δm = 1 GeV
    Hand-set mass splitting between the lightest neutralino and the chargino/heavier neutralino in the electroweakino benchmark model (Section 3); affects the kinematics and acceptance.
  • Generated cτ grid = 10, 30, 100, 300, 1000 mm
    Finite set of simulated mean proper lifetimes; limits for the full 1-10000 mm range rely on the lifetime-reweighting extrapolation (Section 9).
axioms (8)
  • domain assumption SM background processes (heavy-flavor decays, conversions) are negligible after the displacement, mass, and lepton-identification requirements
    Needed to interpret the observed zero events as consistent with background; supported by the data-driven estimates in Section 7.
  • domain assumption GEANT4 simulation accurately models the ATLAS inner-detector response, including dead modules, LRT track finding, and vertex reconstruction
    All signal efficiencies and many systematics rely on simulation; validated with Ks data/MC comparisons in Section 8.
  • domain assumption Tag-and-probe scale factors derived from Z→ℓ+ℓ- events describe trigger and lepton-identification efficiencies for displaced leptons
    The applied multiplicative corrections in Section 8 assume that efficiency differences between prompt and displaced leptons are captured by the kinematic parametrization.
  • domain assumption Event mixing and spatial track shifting preserve the probability of DV reconstruction for random track crossings
    The background estimate in Section 7 depends on this; validated with a 1.1% net shift effect on signal MC and a 15% systematic from non-leptonic tracks.
  • domain assumption The exponential extrapolation of the cosmic-ray ΔR_cos distribution into the signal region is valid
    Used to estimate the dimuon cosmic background of (8.3 ± 6.0) × 10^-3 events in Section 7; a 44% systematic is assigned.
  • standard math The benchmark model cross-sections from the literature (NNLO+NNLL for gluinos, NLO+NLL for electroweakinos) correctly describe the signal production
    The exclusion of theory cross-sections in Figures 6 and 7 depends on these external predictions, cited from Refs. [54-67].
  • standard math The CL_s procedure with 25,000 pseudo-experiments provides valid frequentist limits
    Standard statistical method used in Section 9 to set all 95% CL upper limits.
  • domain assumption The RPV SUSY and Z' simplified models are viable benchmark interpretations for the searched signature
    The limits are model-dependent; the paper states the analysis is not tailored to these models and permits reinterpretation with extra tracks (Sections 3 and 6.3).

pith-pipeline@v1.3.0-alltime-deepseek · 52958 in / 10237 out tokens · 102540 ms · 2026-08-03T11:33:48.583037+00:00 · methodology

0 comments
read the original abstract

A search is presented for long-lived particles decaying into an oppositely charged lepton pair, $\mu^{+}\mu^{-}$, $e^{+}e^{-}$, or $e^{\pm}\mu^{\mp}$, that form a vertex within the inner tracking system of the ATLAS detector at the Large Hadron Collider, displaced from the primary proton-proton interaction region. The analysis uses the 140 fb$^{-1}$ of Run-2 data collected at $\sqrt{s}=13$ TeV by the ATLAS experiment in 2015-2018. The results of the analysis are interpreted in the context of three benchmark models covering masses from 0.1 to 2.2 TeV and a range of mean proper lifetimes times the speed of light from 1 to 10000 mm. The first model is a generic $Z'$ boson pair-produced by a new heavy scalar, with the $Z'$ decaying into lepton pairs. The remaining two models are $R$-parity violating supersymmetric models in which the lightest neutralino $\tilde{\chi}^{0}_{1}$ decays into $\ell^{+}\ell^{'-}\nu$ ($\ell, \ell^{'} = e$, $\mu$). The models differ by the mode of production of the $\tilde{\chi}^{0}_{1}$, which can be produced via the decay of pairs of gluinos or of pairs of charginos and neutralinos ($\tilde{\chi}_{1}^{\pm}\tilde{\chi}_{1}^{0}$, $\tilde{\chi}_{1}^{\pm}\tilde{\chi}_{2}^{0}$, or $\tilde{\chi}_{2}^{0}\tilde{\chi}_{1}^{0}$). Although each benchmark sample includes pair-produced LLPs, only a single vertex is required to be reconstructed. No dilepton displaced vertex candidate is observed and the results are presented as upper limits on the production cross-sections. This analysis sets leading limits on the production cross-sections for multiple models, including parameter space that has never been directly probed.

discussion (0)

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

Reference graph

Works this paper leans on

68 extracted references · 50 linked inside Pith

  1. [1]

    T. Han, Z. Si, K. M. Zurek, and M. J. Strassler, Phenomenology of hidden valleys at hadron colliders, JHEP07(2008) 008, arXiv:0712.2041 [hep-ph]

  2. [2]

    Dreiner,An Introduction to Explicit R-Parity Violation, Adv

    H. Dreiner,An Introduction to Explicit R-Parity Violation, Adv. Ser. Direct. High Energy Phys.21(2010) 565, arXiv:hep-ph/9707435

  3. [3]

    Barbier et al.,R-Parity-violating supersymmetry, Phys

    R. Barbier et al.,R-Parity-violating supersymmetry, Phys. Rept.420(2005) 1, arXiv:hep-ph/0406039

  4. [4]

    C. R. Nappi and B. A. Ovrut,Supersymmetric extension of the SU(3) x SU(2) x U(1) model, Phys. Lett. B113(1982) 175

  5. [5]

    Alvarez-Gaumé, M

    L. Alvarez-Gaumé, M. Claudson, and M. B. Wise,Low-energy supersymmetry, Nucl. Phys. B207(1982) 96

  6. [6]

    Dine and W

    M. Dine and W. Fischler,A phenomenological model of particle physics based on supersymmetry, Phys. Lett. B110(1982) 227

  7. [7]

    ATLAS Collaboration,The ATLAS Experiment at the CERN Large Hadron Collider, JINST3(2008) S08003

  8. [8]

    Evans and P

    L. Evans and P. Bryant,LHC Machine, JINST3(2008) S08001

  9. [9]

    ATLAS Collaboration,Search for displaced vertices of oppositely charged leptons from decays of long-lived particles in𝑝𝑝collisions at√𝑠=13TeV with the ATLAS detector, Phys. Lett. B801(2020) 135114, arXiv:1907.10037 [hep-ex]

  10. [10]

    ATLAS Collaboration,Search for long-lived particles in final states with displaced dimuon vertices in𝑝𝑝collisions at √𝑠=13TeV with the ATLAS detector, Phys. Rev. D99(2019) 012001, arXiv:1808.03057 [hep-ex]

  11. [11]

    ATLAS Collaboration,Search in diphoton and dielectron final states for displaced production of Higgs or𝑍bosons with the ATLAS detector in√𝑠=13TeV𝑝𝑝collisions, Phys. Rev. D108(2023) 012012, arXiv:2304.12885 [hep-ex]

  12. [12]

    CMS Collaboration,Search for long-lived particles that decay into final states containing two electrons or two muons in proton–proton collisions at√𝑠=8TeV , Phys. Rev. D91(2015) 052012, arXiv:1411.6977 [hep-ex]

  13. [13]

    CMS Collaboration,Search for Inelastic Dark Matter in Events with Two Displaced Muons and Missing Transverse Momentum in Proton–Proton Collisions at√𝑠=13TeV, Phys. Rev. Lett.132(2024) 041802, arXiv:2305.11649 [hep-ex]. 18

  14. [14]

    CMS Collaboration,Search for long-lived particles decaying into muon pairs in proton–proton collisions at√𝑠=13TeV collected with a dedicated high-rate data stream, JHEP04(2022) 062, arXiv:2112.13769 [hep-ex]

  15. [15]

    LHCb Collaboration,Searches for low-mass dimuon resonances, JHEP2020(2020) 156, arXiv:2007.03923 [hep-ph]

  16. [16]

    CMS Collaboration,Search for long-lived particles decaying to final states with a pair of muons in proton–proton collisions at√𝑠=13.6TeV, JHEP05(2024) 047, arXiv:2402.14491 [hep-ex]

  17. [17]

    ATLAS Collaboration,ATLAS Insertable B-Layer: Technical Design Report, ATLAS-TDR-19; CERN-LHCC-2010-013, 2010, url:https://cds.cern.ch/record/1291633, Addendum: ATLAS-TDR-19-ADD-1; CERN-LHCC-2012-009, 2012,url:https://cds.cern.ch/record/1451888

  18. [18]

    Abbott et al.,Production and integration of the ATLAS Insertable B-Layer, JINST13(2018) T05008, arXiv:1803.00844 [physics.ins-det]

    B. Abbott et al.,Production and integration of the ATLAS Insertable B-Layer, JINST13(2018) T05008, arXiv:1803.00844 [physics.ins-det]

  19. [19]

    Avoni et al.,The new LUCID-2 detector for luminosity measurement and monitoring in ATLAS, JINST13(2018) P07017

    G. Avoni et al.,The new LUCID-2 detector for luminosity measurement and monitoring in ATLAS, JINST13(2018) P07017

  20. [20]

    ATLAS Collaboration,Performance of the ATLAS trigger system in 2015, Eur. Phys. J. C77(2017) 317, arXiv:1611.09661 [hep-ex]

  21. [21]

    ATLAS Collaboration,Software and computing for Run 3 of the ATLAS experiment at the LHC, Eur. Phys. J. C85(2025) 234, arXiv:2404.06335 [hep-ex], Erratum: Eur. Phys. J. C85(2025) 907

  22. [22]

    Particle Data Group Collaboration,Review of Particle Physics, Phys. Rev. D110(2024) 030001

  23. [23]

    ATLAS Collaboration, Luminosity determination in𝑝𝑝collisions at√𝑠=13TeV using the ATLAS detector at the LHC, Eur. Phys. J. C83(2023) 982, arXiv:2212.09379 [hep-ex]

  24. [24]

    J. Alwall et al.,The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations, JHEP07(2014) 079, arXiv:1405.0301 [hep-ph]

  25. [25]

    Sjöstrand et al.,An introduction to PYTHIA 8.2, Comput

    T. Sjöstrand et al.,An introduction to PYTHIA 8.2, Comput. Phys. Commun.191(2015) 159, arXiv:1410.3012 [hep-ph]

  26. [26]

    ATLAS Collaboration,ATLAS Pythia 8 tunes to7TeV data, ATL-PHYS-PUB-2014-021, 2014, url:https://cds.cern.ch/record/1966419

  27. [27]

    NNPDF Collaboration, R. D. Ball, et al.,Parton distributions for the LHC run II, JHEP04(2015) 040, arXiv:1410.8849 [hep-ph]

  28. [28]

    Agostinelli et al.,Geant4– a simulation toolkit, Nucl

    S. Agostinelli et al.,Geant4– a simulation toolkit, Nucl. Instrum. Meth. A506(2003) 250

  29. [29]

    Sjöstrand, S

    T. Sjöstrand, S. Mrenna, and P. Skands,A brief introduction to PYTHIA 8.1, Comput. Phys. Commun.178(2008) 852, arXiv:0710.3820 [hep-ph]

  30. [30]

    ATLAS Collaboration,The Pythia 8 A3 tune description of ATLAS minimum bias and inelastic measurements incorporating the Donnachie–Landshoff diffractive model, ATL-PHYS-PUB-2016-017, 2016,url:https://cds.cern.ch/record/2206965

  31. [31]

    Frixione, P

    S. Frixione, P. Nason, and C. Oleari, Matching NLO QCD computations with parton shower simulations: the POWHEG method, JHEP11(2007) 070, arXiv:0709.2092 [hep-ph]. 19

  32. [32]

    Alioli, P

    S. Alioli, P. Nason, C. Oleari, and E. Re, NLO vector-boson production matched with shower in POWHEG, JHEP07(2008) 060, arXiv:0805.4802 [hep-ph]

  33. [33]

    ATLAS Collaboration,Measurement of the𝑍/𝛾∗ boson transverse momentum distribution in𝑝𝑝 collisions at√𝑠=7TeV with the ATLAS detector, JHEP09(2014) 145, arXiv:1406.3660 [hep-ex]

  34. [34]

    Lai et al.,New parton distributions for collider physics, Phys

    H.-L. Lai et al.,New parton distributions for collider physics, Phys. Rev. D82(2010) 074024, arXiv:1007.2241 [hep-ph]

  35. [35]

    ATLAS Collaboration, Performance of the reconstruction of large impact parameter tracks in the inner detector of ATLAS, ATL-PHYS-PUB-2017-014, 2017,url:https://cds.cern.ch/record/2275635

  36. [36]

    ATLAS Collaboration,Vertex Reconstruction Performance of the ATLAS Detector at√𝑠=13TeV , ATL-PHYS-PUB-2015-026, 2015,url:https://cds.cern.ch/record/2037717

  37. [37]

    ATLAS Collaboration,Performance of vertex reconstruction algorithms for detection of new long-lived particle decays within the ATLAS inner detector, ATL-PHYS-PUB-2019-013, 2019, url:https://cds.cern.ch/record/2669425

  38. [38]

    ATLAS Collaboration,Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton–proton collision data, JINST14(2019) P12006, arXiv:1908.00005 [hep-ex]

  39. [39]

    ATLAS Collaboration,Electron and photon efficiencies in LHC Run 2 with the ATLAS experiment, JHEP05(2024) 162, arXiv:2308.13362 [hep-ex]

  40. [40]

    ATLAS Collaboration,Muon reconstruction and identification efficiency in ATLAS using the full Run 2𝑝𝑝collision data set at√𝑠=13TeV, Eur. Phys. J. C81(2021) 578, arXiv:2012.00578 [hep-ex]

  41. [41]

    ATLAS Collaboration,ATLAS data quality operations and performance for 2015–2018 data-taking, JINST15(2020) P04003, arXiv:1911.04632 [physics.ins-det]

  42. [42]

    ATLAS Collaboration,Performance of the ATLAS muon triggers in Run 2, JINST15(2020) P09015, arXiv:2004.13447 [physics.ins-det]

  43. [43]

    ATLAS Collaboration,Performance of electron and photon triggers in ATLAS during LHC Run 2, Eur. Phys. J. C80(2020) 47, arXiv:1909.00761 [hep-ex]

  44. [44]

    ATLAS Collaboration,Measurements of Higgs boson production cross-sections in the𝐻→𝜏 +𝜏− decay channel in𝑝𝑝collisions at√𝑠=13TeV with the ATLAS detector, JHEP08(2022) 175, arXiv:2201.08269 [hep-ex]

  45. [45]

    ATLAS Collaboration,Search for long-lived, massive particles in events with displaced vertices and missing transverse momentum in√𝑠=13TeV𝑝𝑝collisions with the ATLAS detector, Phys. Rev. D97(2018) 052012, arXiv:1710.04901 [hep-ex]

  46. [46]

    ATLAS Collaboration,Study of the material of the ATLAS inner detector for Run 2 of the LHC, JINST12(2017) P12009, arXiv:1707.02826 [hep-ex]

  47. [47]

    ATLAS Collaboration,Search for long-lived, massive particles in events with a displaced vertex and a muon with large impact parameter in𝑝𝑝collisions at√𝑠=13TeV with the ATLAS detector, Phys. Rev. D102(2020) 032006, arXiv:2003.11956 [hep-ex]. 20

  48. [48]

    ATLAS Collaboration,Search for long-lived, massive particles in events with displaced vertices and multiple jets in𝑝𝑝collisions at√𝑠=13TeV with the ATLAS detector, JHEP06(2023) 200, arXiv:2301.13866 [hep-ex]

  49. [49]

    ATLAS Collaboration,Search for Light Long-Lived Particles in𝑝𝑝Collisions at√𝑠=13TeV Using Displaced Vertices in the ATLAS Inner Detector, Phys. Rev. Lett.133(2024) 161803, arXiv:2403.15332 [hep-ex]

  50. [50]

    ATLAS Collaboration,Search for exotic decays of the Higgs boson into long-lived particles in𝑝𝑝 collisions at√𝑠=13TeV using displaced vertices in the ATLAS inner detector, JHEP11(2021) 229, arXiv:2107.06092 [hep-ex]

  51. [51]

    Borschensky et al., Squark and gluino production cross sections in pp collisions at√𝑠=13,14,33and100TeV, Eur

    C. Borschensky et al., Squark and gluino production cross sections in pp collisions at√𝑠=13,14,33and100TeV, Eur. Phys. J. C74(2014) 3174, arXiv:1407.5066 [hep-ph]

  52. [52]

    A. L. Read,Presentation of search results: the𝐶𝐿𝑠 technique, J. Phys. G28(2002) 2693

  53. [53]

    Verkerke and D

    W. Verkerke and D. Kirkby,The RooFit toolkit for data modeling, 2003, arXiv:physics/0306116 [physics.data-an]

  54. [54]

    Beenakker, C

    W. Beenakker, C. Borschensky, M. Krämer, A. Kulesza, and E. Laenen,NNLL-fast: predictions for coloured supersymmetric particle production at the LHC with threshold and Coulomb resummation, JHEP12(2016) 133, arXiv:1607.07741 [hep-ph]

  55. [55]

    Beenakker et al.,NNLL resummation for squark and gluino production at the LHC, JHEP12(2014) 023, arXiv:1404.3134 [hep-ph]

    W. Beenakker et al.,NNLL resummation for squark and gluino production at the LHC, JHEP12(2014) 023, arXiv:1404.3134 [hep-ph]

  56. [56]

    Beenakker et al., Towards NNLL resummation: hard matching coefficients for squark and gluino hadroproduction, JHEP10(2013) 120, arXiv:1304.6354 [hep-ph]

    W. Beenakker et al., Towards NNLL resummation: hard matching coefficients for squark and gluino hadroproduction, JHEP10(2013) 120, arXiv:1304.6354 [hep-ph]

  57. [57]

    Beenakker et al.,NNLL resummation for squark-antisquark pair production at the LHC, JHEP01(2012) 076, arXiv:1110.2446 [hep-ph]

    W. Beenakker et al.,NNLL resummation for squark-antisquark pair production at the LHC, JHEP01(2012) 076, arXiv:1110.2446 [hep-ph]

  58. [58]

    Beenakker et al.,Soft-gluon resummation for squark and gluino hadroproduction, JHEP12(2009) 041, arXiv:0909.4418 [hep-ph]

    W. Beenakker et al.,Soft-gluon resummation for squark and gluino hadroproduction, JHEP12(2009) 041, arXiv:0909.4418 [hep-ph]

  59. [59]

    Kulesza and L

    A. Kulesza and L. Motyka, Soft gluon resummation for the production of gluino-gluino and squark-antisquark pairs at the LHC, Phys. Rev. D80(2009) 095004, arXiv:0905.4749 [hep-ph]

  60. [60]

    Kulesza and L

    A. Kulesza and L. Motyka, Threshold Resummation for Squark-Antisquark and Gluino-Pair Production at the LHC, Phys. Rev. Lett.102(2009) 111802, arXiv:0807.2405 [hep-ph]

  61. [61]

    Beenakker, R

    W. Beenakker, R. Höpker, M. Spira, and P. Zerwas, Squark and gluino production at hadron colliders, Nucl. Phys. B492(1997) 51, arXiv:hep-ph/9610490

  62. [62]

    Butterworth et al.,PDF4LHC recommendations for LHC Run II, J

    J. Butterworth et al.,PDF4LHC recommendations for LHC Run II, J. Phys. G43(2016) 023001, arXiv:1510.03865 [hep-ph]

  63. [63]

    Beenakker et al.,Production of Charginos, Neutralinos, and Sleptons at Hadron Colliders, Phys

    W. Beenakker et al.,Production of Charginos, Neutralinos, and Sleptons at Hadron Colliders, Phys. Rev. Lett.83(1999) 3780, arXiv:hep-ph/9906298, Erratum: Phys. Rev. Lett.100(2008) 029901. 21

  64. [64]

    Bozzi, B

    G. Bozzi, B. Fuks, and M. Klasen, Threshold resummation for slepton-pair production at hadron colliders, Nucl. Phys. B777(2007) 157, arXiv:hep-ph/0701202

  65. [65]

    B. Fuks, M. Klasen, D. R. Lamprea, and M. Rothering, Precision predictions for electroweak superpartner production at hadron colliders withresummino, Eur. Phys. J. C73(2013) 2480, arXiv:1304.0790 [hep-ph]

  66. [66]

    B. Fuks, M. Klasen, D. R. Lamprea, and M. Rothering, Revisiting slepton pair production at the Large Hadron Collider, JHEP01(2014) 168, arXiv:1310.2621 [hep-ph]

  67. [67]

    Fiaschi and M

    J. Fiaschi and M. Klasen, Slepton pair production at the LHC in NLO+NLL with resummation-improved parton densities, JHEP03(2018) 094, arXiv:1801.10357 [hep-ph]

  68. [68]

    Demokritos

    ATLAS Collaboration,ATLAS Computing Acknowledgements, ATL-SOFT-PUB-2025-001, 2025, url:https://cds.cern.ch/record/2922210. 22 The ATLAS Collaboration G. Aad 104, E. Aakvaag 17, B. Abbott 123, S. Abdelhameed 119a, K. Abeling 55, N.J. Abicht 49, S.H. Abidi 30, M. Aboelela 45, A. Aboulhorma 36e, H. Abramowicz 157, Y. Abulaiti 120, B.S. Acharya 69a,69b,p, A. ...