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First physics search using level-1 trigger scouting data finds no excess of heavy long-lived charged particles and sets new limits for very slow particles, down to a fiducial cross section of 3.5 fb for β between 0.1875 and 0.2125.

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 →

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2026-08-03 07:31 UTC pith:33APDLAH

load-bearing objection First physics from CMS L1DS: genuinely new low-beta HSCP reach, with a data-driven background whose template cannot be independently closed in the signal region.

arxiv 2601.20063 v2 pith:33APDLAH submitted 2026-01-27 hep-ex

Search for heavy long-lived charged particles with level-1 trigger scouting data from proton-proton collisions at sqrt{s} = 13.6 TeV

CMS Collaboration This is my paper
classification hep-ex
keywords heavy long-lived charged particleslevel-1 trigger scoutingbunch crossingmuon detectorvelocity betaCMSupper limitsR-hadrons
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.

This paper establishes that the level-1 trigger scouting (L1DS) data set, which records muon-detector stubs from every proton bunch crossing without any trigger decision, can support a full physics search. The search targets heavy long-lived charged particles (HSCPs) that are slow enough to leave stubs in the barrel muon chambers across several 25 ns bunch crossings — a regime where conventional muon-based triggers fail. Using 3.7 fb⁻¹ of such data, the analysis finds no significant excess over backgrounds and sets 95% confidence-level upper limits on several HSCP production models, as well as model-independent fiducial cross-section limits as low as 3.5 fb for particles with pT > 500 GeV, |η| < 0.83, and β in 0.1875–0.2125. The result is both a new physics constraint and a proof of concept for the triggerless scouting technique.

Core claim

The central claim is that the level-1 trigger scouting data set — collected without any trigger selection — can be used to search for physics, and that no such signal appears. Reconstructing muon-like tracks offline from stubs that arrive in different bunch crossings, the CMS Collaboration observes pT spectra in fourteen signal categories that agree with background estimates built from tracks with asynchronous stub time-ordering. No significant excess is found, and upper limits are set on fourth-generation lepton and gluino R-hadron pair production, with mass reach up to 6.5 TeV. Fiducial cross-section limits are also provided in bins of β, reaching 3.5 fb for the lowest β bin, extending sen

What carries the argument

The central object is the modified kBMTF track, reconstructed offline from L1 muon stubs separated by up to eight bunch crossings with no constraint on timing order. The signal categories are defined by the number of muon-detector layers with stubs and the number of bunch crossings spanned, which together encode the particle velocity. Background pT templates are built from tracks with asynchronous stub orderings, keeping only those where the innermost stub is in the earliest BX or the outermost stub is in the latest BX, a selection that removes particles entering the detector from outside while retaining the dominant per-stub BX-misidentification background.

Load-bearing premise

The background pT shape in each signal region is correctly described by tracks with asynchronous stub time-ordering after requiring the innermost stub to be in the earliest BX or the outermost stub in the latest BX.

What would settle it

In a dedicated control sample, measure the pT spectrum of tracks whose innermost stub is not in the earliest BX and whose outermost stub is not in the latest BX, after subtracting genuine particles entering from outside; if the resulting shape differs from the template shape by more than the quoted systematic uncertainty (5–75% at high pT), the background model used in the signal regions is biased.

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

If this is right

  • If no HSCPs exist in the probed range, the limits exclude production cross sections above roughly 0.1 pb for masses up to about 6 TeV for the considered models.
  • The L1DS data set can now be used for other analyses that exploit correlations between bunch crossings, such as searches for particles that stop in the detector and decay later.
  • The velocity information encoded in stub time ordering provides a direct experimental handle on β, which can sharpen future signal–background separation.
  • When L1DS reaches full capacity in the high-luminosity LHC phase, the same method applies to much larger recorded luminosity, improving the limits shown here.
  • The analysis closes a gap for particles with 0.15 < β < 0.5, which fail muon triggers and, for f = 1 gluino R-hadrons, leave no ionization-loss signature in the tracker.

Where Pith is reading between the lines

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

  • The same triggerless dataset could be mined for other signatures invisible to the standard trigger, such as heavy particles that stop in the calorimeter and decay into muons after a delay; the stub-time correlations demonstrated here are the key enabling observable.
  • Because the per-stub BX misidentification rate is the main background source and varies with RPC working status, an independent in-situ measurement of that rate in zero-bias events would provide a direct check of the background template that does not rely on the validation-region logic.
  • A future iteration could assign a continuous β estimate to each track from the stub time pattern, replacing the coarse fourteen-category binning and potentially sharpening the limits near β ≈ 0.5 where acceptance currently dips.
  • The fiducial limits in β bins are model-independent only under the stated assumption that no other particles contribute; combining them with a tracker-based ionization search would cover both charged and neutral-at-production HSCPs over the full β range.

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. This paper presents the first physics search using the CMS level-1 trigger scouting (L1DS) data set, which is recorded without any trigger selection. The search targets heavy long-lived charged particles (HSCPs) that interact with the barrel muon detector over several bunch crossings. A modified version of the kBMTF algorithm reconstructs muon-like tracks from stubs in different BXs, and events are split into 14 categories depending on stub multiplicity and the number of layers crossed per BX. Backgrounds are estimated from data using tracks with asynchronous stub time orderings, after a dedicated selection intended to remove cavern-neutron contamination; the method is validated in two orthogonal control regions. A binned maximum likelihood fit to the track pT distributions shows no significant excess. Upper limits are set on nonresonant fourth-generation lepton production, Z'→τ'τ' production, gluino R-hadron production (f=1), and model-independent fiducial cross sections in β bins, with the strongest 95% CL limit reaching 3.5 fb for 0.1875<β<0.2125. The paper also demonstrates a new, triggerless data-taking capability for LHC physics.

Significance. If the result holds, this is a milestone for the L1DS program: it shows that full-rate, untriggered scouting data can be used for a complete physics search, opening a new avenue for low-β HSCP searches and for other signatures that fail standard triggers. The analysis extends sensitivity to β≈0.15–0.5, where muon-based triggers are inefficient, and to R-hadrons with f=1, which leave no dE/dx signature in the tracker. The statistical treatment is standard: data-driven background, floating normalizations per category, nuisance parameters for shape systematics, CLs limits with COMBINE, and HEPData tabulations. The two validation regions are a genuine strength, and the model-independent β-binned limits are useful for reinterpretation. The main limitations, clearly stated in the paper, are that the DY-based efficiency calibration is validated on the same events used to derive it (hence 'good by construction') and that the background pT template cannot be closed directly in the signal region; these caveats do not undermine the central claim but should be kept in mind when interpreting the limits.

minor comments (5)
  1. [Section 5 (Fig. 3)] The text states that the agreement between data and prediction in Fig. 3 is 'good by construction' because the efficiency, scale, and smearing corrections are derived from the same events. This is an honest limitation but means the figure cannot serve as an independent validation. Please add a sentence clarifying what independent checks (if any) were performed, or explicitly state that the corrections are only validated in-sample and that a small residual bias is covered by the signal normalization uncertainty.
  2. [Section 7 and Table 2] The background template is built from asynchronous stub orderings satisfying 'innermost stub in earliest BX OR outermost stub in latest BX,' and the systematic uncertainties in Table 2 are derived from subsets of the same asynchronous orderings or from quality-failing tracks. As the two validation regions share the same reconstruction and template logic, a common-mode pT shape bias would not be visible in the observed/expected ratios. Please add a brief discussion of this limitation and explain why the alternative templates in Table 2 are believed to cover (or bound) such a common-mode effect.
  3. [Section 7] Typos: 'wehn' should be 'when' and 'comparted' should be 'compared' in the first paragraph of the background estimation section.
  4. [Section 6 (Table 1)] The category definitions in Table 1 are dense, especially the notation for 3-stub subcategories. Consider referencing the schematic illustrations in Appendix A (Figs. 11–13) directly in the table caption or in the text near the first mention, to help the reader map the categories to physical topologies.
  5. [Section 9 (Fig. 8)] The dip in sensitivity around m≈3 TeV is attributed to HSCPs with β≈0.5 being reconstructed entirely in a single BX. An explicit cross-reference to Fig. 4 (the BX-signature fractions) at this point would make the explanation easier to follow.

Circularity Check

1 steps flagged

Minor in-sample DY closure check is tautological; the HSCP limits are not circularly derived.

specific steps
  1. fitted input called prediction [Section 5, Figure 3 caption (Muon track reconstruction)]
    "The agreement between simulation and data is good by construction since the efficiency, energy scale, and energy smearing corrections derived from the same events have been applied."

    The reconstruction validation compares DY(mu mu) simulation with data after applying efficiency, energy-scale, and energy-smearing corrections that were derived from the same DY(mu mu) events used for the comparison. The displayed agreement is therefore guaranteed by the calibration procedure and provides no independent test of the reconstruction or pT calibration; it is a closure check rather than a prediction. This step is not load-bearing for the physics result: the background is estimated from data using asynchronous stub orderings, the signal comes from simulation, and the limits are obtained from a binned maximum-likelihood fit. The circularity is confined to a sanity-check validation and does not force the quoted cross-section limits.

full rationale

The paper's main derivation chain is not circular. L1DS data are read out without trigger selection; modified kBMTF tracks are reconstructed from stubs spanning multiple BXs; events are split into categories; the background pT shape is taken from tracks with asynchronous stub time-ordering, which are orthogonal to the synchronous signal-like ordering in the signal region; the background normalization is left floating in the fit and constrained by signal-depleted low-pT bins; signal shapes come from simulation; limits are set with CLs. The two validation regions share the template construction logic, so they cannot cover a common-mode shape bias in the asynchronous-ordering template, but that is a validation limitation, not a circular derivation. The only explicit by-construction statement is the DY(mu mu) closure test in Section 5, where corrections derived from the same events are used to show agreement; this is tautological but does not enter the signal extraction. Self-citations [32-35] describe the L1DS readout and are corroborated by the data-taking itself, and the BX misidentification rate from [53] is not used as the background normalization. No uniqueness theorem or undefended ansatz is imported from prior work. The identified circularity is minor and localized, so the score is 1 rather than 0.

Axiom & Free-Parameter Ledger

3 free parameters · 5 axioms · 0 invented entities

The central result rests on a data-driven background model and detector simulation. The free parameters are normalizations and shape nuisance parameters fitted in the likelihood, plus DY-derived corrections. The main axioms are the validity of the asynchronous-template background model, the accuracy of offline cross-BX reconstruction and GEANT4 energy loss, and the trigger-unbiased nature of the L1DS sample. No invented entities.

free parameters (3)
  • Per-category background normalization (14 categories) = floating in fit
    Normalized in a binned maximum likelihood fit, constrained by signal-depleted low-pT bins (Section 7). The central limits depend on these fitted normalizations.
  • DY(mu mu)-derived efficiency, pT scale, and smearing corrections = up to 11% for 4-stub tracks
    Derived from DY(mu mu) events and applied to signal simulation (Section 5). The validation is in-sample ('good by construction'), and these corrections enter the signal normalization.
  • Background pT shape nuisance parameters = +/-1 s.d. alternative templates
    Built from subsets of asynchronous track orderings and included as nuisance parameters with Gaussian priors (Section 8).
axioms (5)
  • domain assumption Asynchronous stub time-orderings, restricted to innermost-earliest/outermost-latest, model the signal-region background pT distribution
    Section 7: background shapes in all 14 categories are taken from asynchronous orderings; this is the load-bearing background assumption.
  • domain assumption Modified kBMTF reconstruction of stubs separated by up to 8 BXs correctly reconstructs slow HSCP tracks with measured 18% pT resolution
    Section 5: the offline algorithm and its pT resolution are validated only in DY(mu mu) MC, not with real slow particles.
  • domain assumption GEANT4 simulation of energy loss, hadronic interactions, and stopping correctly describes HSCP passage for 0.15 < beta < 0.8
    Sections 3/4: the beta acceptance and the classification of BX signatures rely on simulated particle stopping and detector response.
  • domain assumption L1DS records one orbit in N=15 without trigger bias, giving 3.7 fb^-1 effective luminosity, and colliding-bunch assignment from the LHC injection scheme is correct
    Sections 3 and 6: the data sample and the noncolliding veto depend on these assumptions.
  • standard math CLs asymptotic approximation and binned maximum likelihood are appropriate for these category counts
    Section 9: limits use COMBINE and asymptotic CLs [54-57], standard for LHC searches.

pith-pipeline@v1.3.0-alltime-deepseek · 37907 in / 13993 out tokens · 148135 ms · 2026-08-03T07:31:52.918551+00:00 · methodology

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read the original abstract

A search for heavy long-lived charged particles at the LHC is presented. Particles interacting with the CMS muon detector across several bunch crossings are searched for using a data sample of proton-proton collisions at $\sqrt{s}$ = 13.6 TeV collected with the CMS detector in 2024, corresponding to an integrated luminosity of 3.7 fb$^{-1}$. This is the first search relying on the novel level-1 trigger scouting data set collected without any trigger selection, allowing correlations between bunch crossings to be analyzed. The results are interpreted as upper limits on the cross sections of several benchmark processes with pair production of heavy long-lived charged particles. Upper limits on the fiducial cross section of a heavy long-lived charged particle with $p_\mathrm{T}$ $\gt$ 500 GeV and $\lvert\eta\rvert$ $\lt$ 0.83 are also set in different ranges of $\beta=v/c$. This analysis is a crucial proof of concept for the level-1 trigger data scouting system and complements existing searches for heavy long-lived charged particles by extending the sensitivity to lower $\beta$ values.

Figures

Figures reproduced from arXiv: 2601.20063 by CMS Collaboration.

Figure 1
Figure 1. Figure 1: The R–z projection of a quarter of the CMS barrel muon system, where R is the radial distance from the beamline. The TwinMux system [39] merges segments in the DTs with RPC hits from the same layers into objects called stubs, which combine the better spatial resolution of the DTs with the more precise timing of the RPCs. The TwinMux processor sends the stubs to the kBMTF, which builds muon track candidates… view at source ↗
Figure 2
Figure 2. Figure 2: Generated β distributions of the fourth-generation τ ′ leptons from nonresonant DY production, for various τ ′ masses m. The histograms are normalized to unity. The hadron-like model consists of pair production of long-lived gluinos g, which is a common e signature of mini-split supersymmetric models where the g decay is highly suppressed by the e large scalar quark mass [41–43]. In this analysis, a quasi-… view at source ↗
Figure 3
Figure 3. Figure 3: Distributions of the dimuon invariant mass (left) and per-track stub multiplicity [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Fractions of the BX signatures of tracks reconstructed with the modified kBMTF al [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Low-track-quality validation region distributions for the categories with tracks across [PITH_FULL_IMAGE:figures/full_fig_p010_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Noncolliding validation region distributions for the categories with tracks across [PITH_FULL_IMAGE:figures/full_fig_p011_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: The pT distributions in the signal region for the categories with tracks across >2 (=2, =2) BXs without (with, without) additional track requirement are shown in the upper (center, lower) part of the figure. The expected background distributions are the result of the maxi￾mum likelihood fit. The uncertainty bands account for all sources of background uncertainty, systematic as well as statistical, after th… view at source ↗
Figure 8
Figure 8. Figure 8: Observed (solid line with markers) and expected (dashed black line) upper limits at [PITH_FULL_IMAGE:figures/full_fig_p014_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Observed upper limits at 95% CL on the production cross section of heavy fourth [PITH_FULL_IMAGE:figures/full_fig_p015_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Observed and expected upper limits at 95% CL on the fiducial cross section of a [PITH_FULL_IMAGE:figures/full_fig_p016_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Schematic definition of the 3-stub categories with tracks across [PITH_FULL_IMAGE:figures/full_fig_p022_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Schematic definition of the 4-stub categories with tracks across [PITH_FULL_IMAGE:figures/full_fig_p023_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: Schematic definition of the categories with tracks across 2 BXs. [PITH_FULL_IMAGE:figures/full_fig_p024_13.png] view at source ↗
Figure 14
Figure 14. Figure 14: Schematic definition of the asynchronous orderings used to estimate the back [PITH_FULL_IMAGE:figures/full_fig_p025_14.png] view at source ↗
Figure 15
Figure 15. Figure 15: Schematic definition of the asynchronous orderings used to estimate the back [PITH_FULL_IMAGE:figures/full_fig_p025_15.png] view at source ↗

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