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Two new LHC searches find no light higgsinos below 126 GeV

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2026-08-03 20:20 UTC pith:7DH5JLYA

load-bearing objection Null result that closes a known gap in compressed higgsino searches; the 1ℓ1T fake-track extrapolation is the real soft spot, but the paper handles it honestly. the 1 major comments →

arxiv 2511.20042 v2 pith:7DH5JLYA submitted 2025-11-25 hep-ex

Search for higgsinos in compressed mass spectra using low-momentum tracks in pp collisions at sqrt{s}=13 TeV with the ATLAS detector

ATLAS Collaboration This is my paper
classification hep-ex
keywords higgsinocompressed mass spectrumlow-momentum trackssoft lepton taggersparameterised neural networksupersymmetryLHC searchesdark matter candidate
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 paper targets 'higgsinos' — the supersymmetric partner particles of the Higgs boson — in the compressed configuration where they decay into an invisible neutralino that is almost as heavy as themselves. Because the emitted pions or leptons carry almost no momentum, they normally escape detection, and a gap in mass splittings around 0.9–1.5 GeV had never been probed by an LHC experiment. The ATLAS collaboration builds two searches that recover these soft signals: one looks for slightly displaced pion tracks from charginos that live a fraction of a millimetre, and the other identifies very soft electrons and muons with new neural-network taggers and a mass-splitting-conditioned classifier. In 140 fb⁻¹ of 13 TeV proton–proton data neither search finds a significant excess, and together they exclude chargino masses below 126 GeV at 95% confidence for mass splittings of 0.3–2 GeV. This is the first ATLAS coverage of part of that parameter space and it matters because such compressed higgsinos are a well-motivated dark-matter candidate that had become difficult to test.

Core claim

The central claim is that the two complementary searches are sensitive to direct higgsino pair production at the LHC in the compressed-mass regime, and that after all selections the data are consistent with the Standard Model prediction. In a simplified model with Δm(χ̃₂⁰,χ̃₁⁰) = 2Δm(χ̃₁±,χ̃₁⁰), the combined interpretation excludes chargino masses below 126 GeV at 95% confidence level for mass splittings Δm(χ̃₁±,χ̃₁⁰) between 0.3 and 2 GeV. The displaced-track search alone excludes up to m(χ̃₁±) = 199 GeV at Δm = 0.6 GeV, and the one-lepton-plus-one-track search reaches 132 GeV at Δm = 1.8 GeV, together overtaking the previous best limits in these windows, which came from the LEP experiments

What carries the argument

The central mechanism is the recovery of decay products with transverse momenta far below the usual trigger and identification thresholds, using a chain of neural classifiers. For splittings of 0.3–1 GeV, a track-level network identifies low-momentum pions with large transverse impact parameter — the signature of a chargino decaying about 0.1–1 mm from the interaction point — while an event-level network combines jet and missing-momentum variables; inclusive secondary-vertex reconstruction rejects ordinary long-lived hadrons. For splittings of 1–3 GeV, dedicated soft-electron and soft-muon taggers, deep networks trained on tracking and calorimeter information, recognise leptons with transver

Load-bearing premise

The exclusion in the 0.8–2 GeV window rests on the assumption that the pass/fail ratio of the low-momentum lepton tagger is independent of the pNN score and event topology, a transfer the paper validates only to within non-closure uncertainties of 15% (electrons) and 40% (muons); if that ratio changes with pNN score, the signal-region background estimate — and with it the 126 GeV limit — shifts.

What would settle it

Measure the same tagger transfer factor in an intermediate band such as 0.4 < pNN < 0.95 within the opposite-sign same-flavour sample and compare it with the low-score-region value; a deviation larger than the assigned non-closure uncertainty would mean the 1ℓ1T background estimate is biased and the 0.8–2 GeV exclusion would need to be re-derived.

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

If this is right

  • If the simplified-model interpretation is right, the gap between displaced-track and soft-lepton coverage is closed: light higgsinos with mass splittings of 0.3–2 GeV must have chargino masses above 126 GeV.
  • The displaced-track search alone extends the chargino-mass exclusion by roughly 30 GeV over the earlier ATLAS analysis of this final state, up to 199 GeV at a splitting of 0.6 GeV.
  • The 1ℓ1T search supplies the first ATLAS limits in the 0.8–2 GeV splitting window, peaking at 132 GeV for a 1.8 GeV splitting.
  • The soft-lepton taggers extend electron and muon identification down to transverse momenta of about 0.5 GeV, so compressed electroweak spectra become visible to direct searches rather than being reachable only near the disappearance limit.

Where Pith is reading between the lines

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

  • Beyond the paper: because the pNN is conditioned on the mass splitting, the same trained network can be re-evaluated for other nearly-degenerate spectra (wino-like states, altered branching fractions) without retraining, effectively giving reinterpretation coverage for a whole family of models.
  • Beyond the paper: the largest deviation in the 1ℓ1T search is a 1.5σ excess in the muon-channel signal region optimised for a 5 GeV splitting; collecting more data at that point is the cleanest way to distinguish a fluctuation from the start of a signal.
  • Beyond the paper: the main background assumption could be tested directly by measuring the tagger transfer factor in an intermediate pNN band; if it holds, the 15%/40% non-closure uncertainties could shrink and the excluded boundary would become sharper.

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 / 3 minor

Summary. This ATLAS paper presents two searches for electroweak higgsino production in compressed-mass scenarios using 140 fb^-1 of 13 TeV pp collision data. The displaced-track search targets Delta m(chi^+_1, chi^0_1) ~ 0.3-1 GeV using low-momentum, moderately displaced pion tracks selected by two neural networks. The 1-lepton-1-track (1l1T) search targets Delta m ~ 1-3 GeV using a dedicated low-pT electron/muon tagger and a parameterized neural network to define signal regions for several mass splittings. Backgrounds are estimated with a combination of simulation and data-driven methods: the displaced-track search uses control-region normalisation and track-reweighting factors; the 1l1T search uses a transfer-factor method for the dominant fake-track background. No significant excess is observed. Combined limits exclude chargino masses below 126 GeV at 95% CL for Delta m(chi^+_1, chi^0_1) between 0.3 and 2 GeV, superseding LEP constraints in this region. The analysis follows standard ATLAS procedures, including profile-likelihood fits and CLs limits.

Significance. If the result stands, this is a noteworthy experimental step: it closes the long-standing gap in LHC coverage of compressed higgsinos around Delta m ~ 0.9-1.5 GeV and extends the displaced-track search of Ref. [27] by roughly 30 GeV in chargino mass. The paper's strengths are the careful construction of control and validation regions, the use of dedicated low-pT lepton taggers with calibration from Z->ee gamma and J/psi->mu mu data, and the profile-likelihood treatment of systematic uncertainties with CLs limits. The displaced-track background estimation is validated in multiple regions with sub-2-sigma deviations. The main caveat, discussed below, is the extrapolation of the 1l1T transfer factors from low to very high pNN scores.

major comments (1)
  1. [Section 7.2, Figures 6-7] The transfer-factor method for the fake lepton-track background measures the pass/fail ratio of the low-pT lepton-track ID in the gamma-region (pNN score < 0.4, CR-1l1T-A/B) and applies it to CR-1l1T-C, which lies in the alpha-region with pNN score > 0.95. The TFs are binned in track pT, but the pNN is a function of 16 kinematic variables (Table 7), so residual correlations between the ID score and the pNN beyond track pT are not removed by the binning. The validation regions used to derive the 15% (electron) and 40% (muon) non-closure uncertainties — VR-1l1T-hL, VR-1l1T-SS, VR-1l1T-DF — all require pNN score > 0.4, not > 0.95, and therefore do not directly validate the extrapolation into the SR tail. Since the 1l1T exclusion for Delta m ~ 0.8-2 GeV relies on this estimate, the manuscript should provide a high-pNN sideband closure test (e.g., a region with pNN > 0.95 and inverted Delta p
minor comments (3)
  1. [Section 6.2 / Table 7] The description of the dynamically defined working point for the low-pT lepton-track ID in Section 5.1 is terse. It would help to state explicitly that the second NN output is used as a threshold that depends on track pT, track eta, and the first NN score, and to define the working point in terms of that threshold.
  2. [Section 7.2 / Table 12] The notation for validation regions is inconsistent: Table 12 uses VR-1l1T-hL, VR-1l1T-SS, VR-1l1T-DF, while Figure 9(b) and the text sometimes use labels like 'VR-1e1T-hL-dM1'. Please harmonize the naming for clarity.
  3. [Section 7.2] The sentence 'The TF values range in O(10-4-10-2)' is grammatically awkward; suggest 'The TF values range from O(10^-4) to O(10^-2)'.

Circularity Check

0 steps flagged

No significant circularity: the exclusion results are derived from control-region background fits, external signal cross-sections, and observed event counts, not from the claimed limits themselves.

full rationale

The paper's derivation chain is self-contained against its inputs. Signal yields are obtained from independent NLO+NLL cross-section calculations (Resummino, Section 4) and MC simulation, with branching fractions from external references. Background estimates come from control-region fits (Section 7.1) and from data-driven transfer factors measured in a separate gamma-region (pNN<0.4) and applied to the alpha-region fail sample (Section 7.2); this is an ABCD extrapolation whose validity is tested in three validation regions and whose residual bias is covered by explicit 15% (e) and 40% (mu) non-closure uncertainties (Section 8). No equation in the paper defines the predicted SR background in terms of the observed SR count, and no fitted parameter is renamed as a prediction. Previous ATLAS/LEP results are cited only as context and comparison (Section 1, Section 9.4), not as load-bearing justification for the exclusion contours. The absence of a dedicated pNN>0.95 sideband for the 1l1T fake-track transfer factor is a systematic closure concern, not a circularity: it is an extrapolation assumption with assigned uncertainties, not an identity or self-citation.

Axiom & Free-Parameter Ledger

6 free parameters · 8 axioms · 0 invented entities

The central limit depends on the SUSY simplified model with the stated mass relation, theory inputs (cross-sections and branching fractions), data-driven background normalisations fit in control regions, and two extrapolation assumptions (track reweighting in the displaced-track search, transfer factors in the 1ℓ1T search). The paper introduces no new particles or entities; higgsinos, charginos, and neutralinos are pre-existing MSSM states.

free parameters (6)
  • Normalisation factor for W(→ℓν)+jets = 1.20 ± 0.01
    Fit to the mT distribution in CR-DT-1ℓ (Section 7.1); scales a dominant displaced-track background.
  • Normalisation factor for W(→τlepν)+jets = 1.2 ± 0.1
    Constrained simultaneously with W(→ℓν) in CR-DT-1ℓ (Section 7.1).
  • Normalisation factor for Z+jets (Z→νν and Z→ℓℓ shared) = 1.29 ± 0.01
    Fit to dilepton mass in CR-DT-2ℓ (Section 7.1).
  • Normalisation factor for diboson production = 1.4 ± 0.2
    Constrained in CR-DT-1e1μ (Section 7.1).
  • Normalisation factor for W(→τhadν)+jets = 1.37 ± 0.04
    Fit to minΔφ(EmissT, j) in CR-DT-lowMET (Section 7.1).
  • Third track-reweighting factor for τ-produced tracks = 0.64
    Single factor applied to simulated tracks from τ decays under the high-EmissT preselect, obtained in CR-DT-lowMET (Section 7.1).
axioms (8)
  • domain assumption Supersymmetry with R-parity conservation and |μ| ≪ M1, M2, so the lightest states are a higgsino triplet (χ01, χ±1, χ02) with compressed mass spectrum.
    Motivates the signal model being tested; stated in Section 1.
  • ad hoc to paper Simplified-model relation Δm(χ02, χ01) = 2Δm(χ±1, χ01), with the chargino mass set halfway between the neutralino masses.
    Defines the model plane on which the limits are drawn; Sections 4 and 9.4, Figure 15.
  • domain assumption Chargino and neutralino branching fractions and lifetimes follow Ref. [41] (e.g., ~80% for χ±1→π±χ01 at Δm = 0.5 GeV).
    Determines signal kinematics and acceptance; Section 4.
  • domain assumption Higgsino production cross-sections from Resummino NLO+NLL with CTEQ6.6/MSTW2008 PDF envelope.
    Normalises the signal expectation; Section 4.
  • domain assumption Track-level reweighting factors measured in control regions are process-independent and remain valid in the signal regions.
    Load-bearing for the displaced-track background estimate; validated in VR-DT-Evt/Trk/τ/Lep (Section 7.1).
  • ad hoc to paper Transfer factors measured in the γ-region (pNN score < 0.4) can be applied in the α-region (pNN score > 0.95).
    Load-bearing for the 1ℓ1T fake-lepton-track background; hedged by 15%/40% non-closure uncertainties (Section 7.2).
  • standard math Profile likelihood with CLs prescription and asymptotic formulas for significance.
    Standard statistical tools used for the exclusion limits (Section 9, Refs. [124–126]).
  • domain assumption Detector simulation (Geant4/ATLAS software) models data once scale factors are applied.
    All MC-based predictions depend on this; validated indirectly by CR/VR agreement (Sections 4 and 9.1).

pith-pipeline@v1.3.0-alltime-deepseek · 72335 in / 12948 out tokens · 126015 ms · 2026-08-03T20:20:30.810404+00:00 · methodology

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read the original abstract

This paper presents two searches for the electroweak production of higgsinos with compressed mass spectra using 140 fb$^{-1}$ of $\sqrt{s}=13$ TeV proton-proton collision data collected by the ATLAS experiment at the Large Hadron Collider. Events are required to feature an energetic jet, large missing transverse momentum, and at least one low-momentum charged particle that serves as a candidate higgsino decay product. In the first search, targeting higgsino mass splittings in the range of 0.3-1 GeV, the higgsinos are expected to predominantly decay into pions that are identified as low-momentum charged particles with large transverse impact parameters due to the long higgsino lifetime ($c\tau\approx\mathcal{O}$(0.1-10 mm)), and neural networks are used to discriminate between signal and background processes. The second search targets larger mass splittings in the range of 1-3 GeV, where the higgsinos are expected to decay promptly into low-momentum leptons, one of which is identified by dedicated low-momentum electron or muon taggers based on neural networks utilising tracking and calorimeter information. No significant excess above the Standard Model prediction is observed in either search and the results are interpreted within simplified models, to set lower limits on the masses of the higgsino-like charginos and neutralinos. Together, these searches exclude chargino masses below 126 GeV at 95% confidence level for mass splittings between the chargino and lightest neutralino in the range of 0.3-2 GeV. This represents the first ATLAS constraints in a portion of this parameter space and surpasses the limits previously set by other experiments.

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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. Search for electroweakinos in compressed-spectrum scenarios with low-momentum isolated tracks in proton-proton collisions at $\sqrt{s}$ = 13 TeV

    hep-ex 2026-04 unverdicted novelty 6.0

    No significant excess observed; 95% CL exclusion of higgsino electroweakinos with mass splittings 0.28-1.15 GeV and chargino masses up to 185 GeV using soft-track and neural-network selection.

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