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Lower-threshold scouting data sets the tightest limits yet on soft, unclustered energy patterns from heavy scalar mediators.

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2026-07-13 01:40 UTC pith:SNQ6RHET

load-bearing objection Solid CMS scouting search that genuinely improves SUEP limits by lowering the HT threshold; null result and exclusions hold up under the usual data-driven checks.

arxiv 2607.09621 v1 pith:SNQ6RHET submitted 2026-07-10 hep-ex

Search for soft unclustered energy patterns in proton-proton collisions at sqrt{s} = 13 TeV using data scouting

CMS Collaboration This is my paper
classification hep-ex
keywords SUEPsoft unclustered energy patternsdata scoutinghidden valleyCMSLHCscalar mediatorgluon fusion
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 reports a search for soft unclustered energy patterns (SUEPs) — diffuse sprays of many soft charged particles predicted by hidden-valley models with a large 't Hooft coupling — in 127 fb^{-1} of 13 TeV proton-proton collisions. By recording only the high-level trigger reconstruction (data scouting), the experiment lowers the hadronic-activity threshold from roughly 1 TeV to 410 GeV, raising acceptance for the softest signals by up to an order of magnitude. Events are selected by identifying a high-multiplicity large-radius jet, boosting its constituents into the jet rest frame, and requiring high track multiplicity and high boosted sphericity. The dominant multijet background is estimated from data with an extended ABCD method. No excess above the Standard Model is observed, and the resulting cross-section limits on gluon-fusion production of a scalar mediator that decays entirely into a SUEP are the strongest to date across a wide range of mediator masses, dark-meson masses and temperatures.

Core claim

Using scouting data that lower the hadronic trigger threshold, the search finds no excess of soft unclustered energy patterns over Standard Model multijet backgrounds and places the most stringent limits yet on the gluon-fusion production of heavy scalar mediators that decay to SUEP-like final states.

What carries the argument

Data scouting combined with an extended ABCD background estimate that uses the number of charged constituents and the boosted sphericity of the highest-multiplicity large-radius jet.

Load-bearing premise

The data-driven background method, after a linear shape correction taken from adjacent control regions, fully accounts for residual correlations so that the remaining yield uncertainties stay adequate after the fit.

What would settle it

An excess of events in the high-multiplicity, high-boosted-sphericity signal region relative to the extended-ABCD prediction that cannot be absorbed by the assigned 50 % yield and 100 % last-bin uncertainties.

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

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 CMS Letter reports a search for soft unclustered energy patterns (SUEPs) in 127 fb^{-1} of 13 TeV pp data collected with the scouting stream. By recording only HLT-level PF candidates, jets, and vertices, the analysis lowers the HT threshold from ~1 TeV (offline) to 410 GeV, increasing acceptance for soft, high-multiplicity isotropic signals predicted by hidden-valley models with large 't Hooft coupling. Events are selected with HT > 560 GeV, two AK15 jets, n_SUEP_constituent > 50 and S_SUEP_boosted > 0.5; the SUEP candidate is the higher-multiplicity jet. Background (primarily QCD multijet) is estimated with an extended ABCD method in the (n_SUEP_constituent, S_SUEP_boosted) plane, including a linear c_bin shape correction from control regions F/C (Eq. 1) and a floating 50 % SR normalization uncertainty. A binned likelihood fit yields results consistent with the SM; 95 % CL CLs limits on ggF scalar-mediator production improve prior offline CMS constraints by up to an order of magnitude over most of the (m_S, T_D, m_ϕ) space.

Significance. The work is a clear experimental advance: scouting enables a substantially lower HT threshold that is essential for soft SUEP acceptance, and the resulting limits are the most stringent to date on this class of models. The analysis employs standard, well-documented tools (CLs with pseudo-experiments and asymptotic approximation, profiled systematics, data-driven background with simulation and VR validation). Strengths include the explicit quantification of the dominant tracking-efficiency uncertainty (scaled from offline D* measurements), the transparent extended-ABCD construction with residual-shape and normalization uncertainties, and the direct comparison to the earlier offline search. The result is immediately usable by the BSM community and demonstrates the physics reach of CMS scouting for unconventional signatures.

minor comments (5)
  1. In the text describing the SR binning (just before Eq. 1), the last bin is written “>120 GeV”; the variable is dimensionless multiplicity, so the unit should be dropped.
  2. Figure 2 caption and body text refer to “VR” without defining the acronym on first use; a parenthetical “(validation region)” would help readers who skip Appendix A.
  3. The factor of ≈3 that scales the offline tracking-efficiency uncertainty to the scouting case is stated without a quantitative reference or plot; a short sentence or citation to the relevant CMS DP note would improve reproducibility.
  4. Appendix A.1: the linear fit for c_bin uses bin centers up to 125 for the overflow bin; a brief statement that the result is stable under reasonable variations of the fit range would strengthen confidence in the correction.
  5. Figure 4: the exclusion curves for different m_S values become dense at low T_D/m_ϕ; a color bar or explicit legend entry for the “few hard tracks” and “m_ϕ < 2 m_A′” regions would improve readability.

Circularity Check

0 steps flagged

No significant circularity: data-driven ABCD background and independent MC signal shapes yield limits without self-definitional or fitted-as-prediction reductions.

full rationale

This is a standard CMS experimental search paper. The central claims (consistency with SM background; most stringent limits on ggF scalar-mediator SUEP production) rest on (i) a data-driven extended ABCD estimate of the QCD multijet background (Eq. 1, with linear c_bin shape correction extracted from adjacent CRs F and C, plus floating 50 % SR normalization and 100 % last-bin uncertainty), validated in a low-n VR and in QCD simulation (Appendix A, Figs. 5–6), and (ii) signal templates generated from an independent custom dark-shower package + PYTHIA + GEANT4. Neither the background prediction nor the CLs upper limits reduce by construction to a fitted parameter that is later re-labeled a discovery; residual higher-order correlations are quantified and constrained by the fit itself. Self-citations (prior CMS offline SUEP search, tracking-efficiency D* measurements, luminosity) supply external calibrations or comparison benchmarks, not load-bearing uniqueness theorems or ansätze that force the result. The scouting HT threshold reduction is a genuine experimental advance that increases acceptance; the derivation chain is therefore self-contained against external data and simulation.

Axiom & Free-Parameter Ledger

3 free parameters · 3 axioms · 3 invented entities

The central null result and limits rest on the Standard Model as background, on the validity of the simplified SUEP signal model taken from the literature, and on the data-driven ABCD procedure. No new free parameters are fitted to claim a discovery; model parameters are scanned. The dark-sector entities are postulated by prior theory papers and treated as search targets.

free parameters (3)
  • c_bin linear correction coefficients
    Extracted year-by-year from a linear fit to the F-to-C ratio of n_constituent distributions; used to correct the SR background shape in Eq. (1).
  • 50 % SR normalization uncertainty
    Assigned from the disagreement obtained when the same ABCD method is applied to the ISR-candidate jet; floated in the fit.
  • tracking-efficiency scale factor ≈3
    Offline D* efficiency differences are scaled by an empirical factor of ~3 to account for scouting tracking; dominates the signal systematic.
axioms (3)
  • domain assumption QCD multijet events dominate the high-multiplicity, high-sphericity background after the n_constituent > 50 and S_boosted > 0.5 selection, and their correlations are adequately captured by the extended ABCD construction.
    Stated in the background-estimation section and validated only in simulation and a low-signal VR.
  • domain assumption The simplified scalar-mediator model (ggF production, 100 % branching fraction to SUEP, Boltzmann dark-meson spectrum, prompt dark-photon decays) correctly represents the experimental signature of large-’t Hooft-coupling hidden valleys.
    Taken from the literature (Knapen et al.) and used to generate all signal samples.
  • domain assumption Standard Model particle-flow reconstruction and the HLT scouting objects provide unbiased charged-particle multiplicities and sphericity once the stated p_T and η cuts are applied.
    Implicit throughout the event selection and efficiency studies.
invented entities (3)
  • SUEP (soft unclustered energy pattern) cluster independent evidence
    purpose: Target signature: high-multiplicity isotropic spray of soft SM particles from dark-sector showering.
    Defined operationally via the AK15 jet with highest charged multiplicity and its boosted sphericity; the physical entity is taken from prior hidden-valley literature.
  • scalar mediator S with effective ggS coupling no independent evidence
    purpose: Production portal that decays 100 % into the dark sector, generating the SUEP.
    Simplified model parameter scanned from 125 GeV to 2 TeV; cross section normalized to BSM Higgs-like production.
  • dark mesons ϕ and dark photons A′ no independent evidence
    purpose: Intermediate states whose mass and temperature set the multiplicity and p_T spectrum of the final-state SM particles.
    Parameters of the Boltzmann shower; three discrete A′ mass/decay scenarios are considered.

pith-pipeline@v1.1.0-grok45 · 39548 in / 2708 out tokens · 36834 ms · 2026-07-13T01:40:27.407450+00:00 · methodology

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read the original abstract

A search for soft unclustered energy patterns (SUEPs) is conducted using proton-proton collision data corresponding to an integrated luminosity of 127 fb$^{-1}$ at a center-of-mass energy of 13 TeV, collected via the data scouting stream of the CMS experiment at the LHC. Only the results of the high-level trigger reconstruction are recorded to enable a lower threshold on the hadronic activity. This increases the acceptance for SUEP signatures, which are predicted by hidden-valley models with a large 't Hooft coupling. The observed results are consistent with the standard model background prediction. The most stringent limits to date are set on the gluon fusion production of heavy scalar mediators resulting in SUEP-like signals.

Figures

Figures reproduced from arXiv: 2607.09621 by CMS Collaboration.

Figure 1
Figure 1. Figure 1: A schematic diagram of the SUEP signal production with initial-state radiation. [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: The observed n SUEP constituent distributions for various ranges of S SUEP boosted (left: 0.3 < S SUEP boosted < 0.34, middle: 0.34 < S SUEP boosted < 0.5, right: S SUEP boosted > 0.5), compared to the back￾ground prediction in the SR. The pre-fit expected background from Eq. (1), the background￾only fit result, and two signal models with mS = 300 and 1000 GeV are shown, as well as their uncertainties. Bot… view at source ↗
Figure 3
Figure 3. Figure 3: Expected and observed 95% CL upper limits on the simplified scalar-mediator SUEP [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Expected and observed 95% CL exclusion limits in the [PITH_FULL_IMAGE:figures/full_fig_p009_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: The n SUEP constituent distributions for various ranges of S SUEP boosted (left: 0.3 < S SUEP boosted < 0.34, middle: 0.34 < S SUEP boosted < 0.5, right: S SUEP boosted ≥ 0.5) in QCD multijet simulation, comparing the extended ABCD prediction to the yield directly from the simulation in the SR. The pre-fit expected background from Eq. (1), the background-only fit results, and two signal models with mS = 30… view at source ↗
Figure 6
Figure 6. Figure 6: Validation of the extended ABCD method (left: 2016, middle: 2017, right: 2018) in [PITH_FULL_IMAGE:figures/full_fig_p014_6.png] view at source ↗

discussion (0)

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Reference graph

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    work page doi:10.17182/hepdata.167851 2026