Search for electroweak scale dijet resonances in pile-up collisions at sqrt{s}=13 TeV with the ATLAS detector
Pith reviewed 2026-06-28 08:10 UTC · model grok-4.3
The pith
No significant excess is observed in a search for 100-250 GeV dijet resonances using pile-up collisions at 13 TeV.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The analysis applies a new strategy of separately reconstructing multiple pile-up collisions per bunch crossing to probe dijet masses from 100 to 250 GeV. Using 1.30 pb^{-1} of effective luminosity from 2016-2018 data, no significant excess is observed above the expected background, and exclusion limits are set for Gaussian-shaped resonances and for an axial-vector mediator in a dark matter model.
What carries the argument
Separate reconstruction of pile-up proton-proton interactions in single-lepton triggered events to access the 100-250 GeV dijet mass range.
Load-bearing premise
Dijet resonances from pile-up interactions can be accurately reconstructed and the multijet background shape and normalization are correctly modeled in the 100-250 GeV range using the selected single-lepton triggered events.
What would settle it
Observation of a statistically significant excess above the background expectation in the dijet invariant mass distribution.
read the original abstract
A search for dijet resonances in the mass range of 100-250 GeV is presented using proton-proton collision data recorded by the ATLAS experiment at the Large Hadron Collider at a centre-of-mass energy of 13 TeV. Conventional searches for hadronic resonances in the sub-TeV regime are heavily constrained by high jet trigger thresholds required to manage the overwhelming rate of Standard Model multijet background processes described by quantum chromodynamics. To overcome this limitation, this analysis uses a novel strategy that separately reconstructs multiple proton-proton interactions per bunch crossing, known as pile-up collisions. The dataset was collected by the ATLAS experiment using single-electron and single-muon triggers in 2016-2018 corresponding to an integrated luminosity of 1.30 pb$^{-1}$, which represents the effective luminosity of pile-up collisions recorded alongside triggered events. This constitutes the first application of pile-up collisions to probe low dijet mass scales. No significant excess is observed above the background expectation and exclusion limits are set for a generic Gaussian model and a simplified dark matter model featuring an axial-vector mediator with coupling to quarks.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents a search for dijet resonances in the 100-250 GeV mass range using pile-up proton-proton collisions recorded by ATLAS at √s=13 TeV. A novel strategy reconstructs multiple interactions per bunch crossing using events selected by single-electron and single-muon triggers, corresponding to an effective luminosity of 1.30 pb^{-1}. No significant excess above the expected multijet background is observed, and exclusion limits are set on a generic Gaussian resonance model as well as a simplified dark matter model with an axial-vector mediator coupling to quarks.
Significance. If validated, the result demonstrates a viable new experimental approach to access low-mass dijet resonances that are otherwise inaccessible due to trigger rate limitations. This could enable additional searches in future high-pile-up LHC data and provides constraints on possible new physics in the electroweak scale. The data-driven background estimation from control samples is a methodological strength when properly cross-checked.
major comments (1)
- [Background modeling] Background modeling section: The central no-excess claim and subsequent limits depend on the multijet background shape and normalization extracted from single-lepton triggered events correctly describing the pile-up dijet sample in the 100-250 GeV range. The manuscript must include explicit validation (e.g., closure tests, comparisons of jet p_T, η, or vertex quality distributions between control and pile-up selections) to demonstrate that trigger bias, vertex reconstruction, or kinematic mismatches do not affect the background subtraction.
minor comments (2)
- [Abstract] Abstract: The phrase '1.30 pb^{-1}' should specify whether this is the precise effective luminosity after all selections and how it is derived from the total recorded luminosity.
- [Figures] Figure captions: Ensure all figures showing dijet mass distributions include the full set of systematic uncertainty bands and the ratio panel for data/MC agreement.
Simulated Author's Rebuttal
We thank the referee for their constructive feedback and positive assessment of the work's significance. We address the major comment on background modeling below.
read point-by-point responses
-
Referee: Background modeling section: The central no-excess claim and subsequent limits depend on the multijet background shape and normalization extracted from single-lepton triggered events correctly describing the pile-up dijet sample in the 100-250 GeV range. The manuscript must include explicit validation (e.g., closure tests, comparisons of jet p_T, η, or vertex quality distributions between control and pile-up selections) to demonstrate that trigger bias, vertex reconstruction, or kinematic mismatches do not affect the background subtraction.
Authors: We agree that explicit validation strengthens the background modeling. The revised manuscript will add dedicated closure tests in simulation and direct comparisons of jet p_T, η, and vertex quality distributions between the single-lepton control samples and the pile-up dijet selections. These will be included in an expanded background estimation section to confirm that trigger bias, vertex reconstruction, and kinematic effects do not impact the subtraction in the 100-250 GeV range. revision: yes
Circularity Check
No significant circularity; experimental search is self-contained
full rationale
This is a standard experimental search paper that reports observed data in pile-up collisions, models background from single-lepton triggered control samples, and sets limits on signal models. No derivation chain, fitted prediction, or ansatz is presented that reduces by construction to its own inputs. Background estimation and reconstruction are data-driven and external to the signal hypothesis; the no-excess conclusion follows from direct comparison to that background. Self-citations, if present, are not load-bearing for the central result. The analysis is therefore scored at the default non-circular level.
Axiom & Free-Parameter Ledger
Reference graph
Works this paper leans on
-
[1]
U. Baur, I. Hinchliffe and D. Zeppenfeld,Excited Quark Production at Hadron Colliders, Int. J. Mod. Phys. A2(1987) 1285
1987
-
[2]
B. A. Dobrescu and F. Yu,Coupling-mass mapping of dijet peak searches, Phys. Rev. D88(2013) 035021, [Erratum: Phys.Rev.D 90, 079901 (2014)], arXiv:1306.2629 [hep-ph]
Pith/arXiv arXiv 2013
-
[3]
M. Chala, F. Kahlhoefer, M. McCullough, G. Nardini and K. Schmidt-Hoberg, Constraining dark sectors with monojets and dijets, JHEP07(2015) 089, arXiv:1503.05916 [hep-ph]
Pith/arXiv arXiv 2015
-
[4]
M. Bauer, M. Neubert and A. Thamm,Collider probes of axion-like particles, JHEP12(2017) 044, arXiv:1708.00443 [hep-ph]
Pith/arXiv arXiv 2017
-
[5]
Evans and P
L. Evans and P. Bryant,LHC Machine, JINST3(2008) S08001. 20
2008
-
[6]
ATLAS Collaboration,Search for new resonances in mass distributions of jet pairs using139fb −1 of𝑝 𝑝collisions at √𝑠=13TeV with the ATLAS detector, JHEP03(2020) 145, arXiv:1910.08447 [hep-ex]
arXiv 2020
-
[7]
ATLAS Collaboration,Search for new phenomena in the dijet mass distribution using𝑝 𝑝collision data at√𝑠=8TeV with the ATLAS detector, Phys. Rev. D91(2015) 052007, arXiv:1407.1376 [hep-ex]
Pith/arXiv arXiv 2015
-
[8]
Phys.13(2011) 053044, arXiv:1103.3864 [hep-ex]
ATLAS Collaboration,A search for new physics in dijet mass and angular distributions in𝑝 𝑝 collisions at√𝑠=7TeV measured with the ATLAS detector, New J. Phys.13(2011) 053044, arXiv:1103.3864 [hep-ex]
Pith/arXiv arXiv 2011
-
[9]
CMS Collaboration,Search for high mass dijet resonances with a new background prediction method in proton–proton collisions at√𝑠=13TeV, JHEP05(2020) 033, arXiv:1911.03947 [hep-ex]
arXiv 2020
-
[10]
CMS Collaboration, Search for Resonances in the Dijet Mass Spectrum from7TeV𝑝 𝑝Collisions at CMS, Phys. Lett. B704(2011) 123, arXiv:1107.4771 [hep-ex]
Pith/arXiv arXiv 2011
-
[11]
CMS Collaboration,Search for Dijet Resonances in7TeV𝑝 𝑝Collisions at CMS, Phys. Rev. Lett.105(2010) 211801, arXiv:1010.0203 [hep-ex]
Pith/arXiv arXiv 2010
-
[12]
ATLAS Collaboration,The ATLAS Experiment at the CERN Large Hadron Collider, JINST3(2008) S08003
2008
-
[13]
CMS Collaboration,The CMS Experiment at the CERN LHC, JINST3(2008) S08004
2008
-
[14]
ATLAS Collaboration,Search for electroweak-scale dijet resonances using trigger-level analysis with the ATLAS detector in132fb−1 of𝑝 𝑝collisions at √𝑠=13TeV, Phys. Rev. D112(2025) 092015, arXiv:2509.01219 [hep-ex]
arXiv 2025
-
[15]
CMS Collaboration, Search for dijet resonances with data scouting in proton–proton collisions at√𝑠=13TeV, JHEP04(2025) 133, arXiv:2510.21641 [hep-ex]
Pith/arXiv arXiv 2025
-
[16]
ATLAS Collaboration,Search for low-mass resonances decaying into two jets and produced in association with a photon or a jet at√𝑠=13TeV with the ATLAS detector, Phys. Rev. D110(2024) 032002, arXiv:2403.08547 [hep-ex]
arXiv 2024
-
[17]
ATLAS Collaboration,Search for boosted low-mass resonances decaying into hadrons produced in association with a photon in𝑝 𝑝collisions at√𝑠=13TeV with the ATLAS detector, JHEP01(2025) 099, arXiv:2408.00049 [hep-ex]
arXiv 2025
-
[18]
ATLAS Collaboration,Search for low-mass resonances decaying into two jets and produced in association with a photon using𝑝 𝑝collisions at√𝑠=13TeV with the ATLAS detector, Phys. Lett. B795(2019) 56, arXiv:1901.10917 [hep-ex]
Pith/arXiv arXiv 2019
-
[19]
CMS Collaboration,Search for low-mass quark–antiquark resonances produced in association with a photon at√𝑠=13TeV, Phys. Rev. Lett.123(2019) 231803, arXiv:1905.10331 [hep-ex]
arXiv 2019
-
[20]
ATLAS Collaboration,Using pile-up collisions as an abundant source of low-energy hadronic physics processes in ATLAS and an extraction of the jet energy resolution, JHEP12(2024) 032, arXiv:2407.10819 [hep-ex]
arXiv 2024
-
[21]
ATLAS Collaboration,Performance of the ATLAS trigger system in 2015, Eur. Phys. J. C77(2017) 317, arXiv:1611.09661 [hep-ex]. 21
Pith/arXiv arXiv 2015
-
[22]
T. Cohen, M. Lisanti and H. K. Lou,Semivisible Jets: Dark Matter Undercover at the LHC, Phys. Rev. Lett.115(2015) 171804, arXiv:1503.00009 [hep-ph]
Pith/arXiv arXiv 2015
-
[23]
ATLAS Collaboration,The ATLAS experiment at the CERN Large Hadron Collider: a description of the detector configuration for Run 3, JINST19(2024) P05063, arXiv:2305.16623 [physics.ins-det]
arXiv 2024
-
[24]
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]
arXiv 2020
-
[25]
ATLAS Collaboration,Performance of the ATLAS muon triggers in Run 2, JINST15(2020) P09015, arXiv:2004.13447 [physics.ins-det]
arXiv 2020
-
[26]
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
Pith/arXiv arXiv 2025
-
[27]
ATLAS Collaboration,Track and Vertex Reconstruction with the ATLAS Inner Detector, (2026), arXiv:2605.07585 [physics.ins-det]
Pith/arXiv arXiv 2026
-
[28]
A. Albert et al.,Recommendations of the LHC Dark Matter Working Group: Comparing LHC searches for dark matter mediators in visible and invisible decay channels and calculations of the thermal relic density, Physics of the Dark Universe26(2019) 100377, arXiv:1703.05703 [hep-ex]
Pith/arXiv arXiv 2019
-
[29]
D. Abercrombie et al.,Dark Matter benchmark models for early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum, Physics of the Dark Universe27(2020) 100371, arXiv:1507.00966 [hep-ex]
arXiv 2020
-
[30]
J. Alwall, M. Herquet, F. Maltoni, O. Mattelaer and T. Stelzer,MadGraph 5: going beyond, JHEP06(2011) 128, arXiv:1106.0522 [hep-ph]
Pith/arXiv arXiv 2011
-
[31]
NNPDF Collaboration, R. D. Ball et al.,Parton distributions with LHC data, Nucl. Phys. B867(2013) 244, arXiv:1207.1303 [hep-ph]
Pith/arXiv arXiv 2013
-
[32]
Bierlich et al.,A comprehensive guide to the physics and usage of PYTHIA 8.3, SciPost Phys
C. Bierlich et al.,A comprehensive guide to the physics and usage of PYTHIA 8.3, SciPost Phys. Codebases (2022) 8, arXiv:2203.11601 [hep-ph]
Pith/arXiv arXiv 2022
-
[33]
ATLAS Collaboration,ATLAS Pythia 8 tunes to7TeV data, ATL-PHYS-PUB-2014-021, 2014, url:https://cds.cern.ch/record/1966419
arXiv 2014
-
[34]
D. J. Lange,The EvtGen particle decay simulation package, Nucl. Instrum. Meth. A462(2001) 152
2001
-
[35]
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]
Pith/arXiv arXiv 2015
-
[36]
ATLAS Collaboration,The ATLAS Simulation Infrastructure, Eur. Phys. J. C70(2010) 823, arXiv:1005.4568 [physics.ins-det]
Pith/arXiv arXiv 2010
-
[37]
Agostinelli et al.,Geant4– a simulation toolkit, Nucl
S. Agostinelli et al.,Geant4– a simulation toolkit, Nucl. Instrum. Meth. A506(2003) 250
2003
-
[38]
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]
Pith/arXiv arXiv 2008
-
[39]
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. 22
arXiv 2016
-
[40]
ATLAS Collaboration,Reconstruction of primary vertices at the ATLAS experiment in Run 1 proton–proton collisions at the LHC, Eur. Phys. J. C77(2017) 332, arXiv:1611.10235 [physics.ins-det]
Pith/arXiv arXiv 2017
-
[41]
ATLAS Collaboration, Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1, Eur. Phys. J. C77(2017) 490, arXiv:1603.02934 [hep-ex]
Pith/arXiv arXiv 2017
-
[42]
ATLAS Collaboration, Jet reconstruction and performance using particle flow with the ATLAS Detector, Eur. Phys. J. C77(2017) 466, arXiv:1703.10485 [hep-ex]
Pith/arXiv arXiv 2017
-
[43]
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]
arXiv 2015
-
[44]
ATLAS Collaboration,Electron and photon efficiencies in LHC Run 2 with the ATLAS experiment, JHEP05(2024) 162, arXiv:2308.13362 [hep-ex]
arXiv 2024
-
[45]
ATLAS Collaboration,Muon reconstruction and identification efficiency in ATLAS using the full Run 2𝑝 𝑝collision data set at√𝑠=13TeV, Eur. Phys. J. C81(2021) 578, arXiv:2012.00578 [hep-ex]
arXiv 2021
-
[46]
M. Cacciari, G. P. Salam and G. Soyez,The anti-𝑘𝑡 jet clustering algorithm, JHEP04(2008) 063, arXiv:0802.1189 [hep-ph]
Pith/arXiv arXiv 2008
-
[47]
M. Cacciari, G. P. Salam and G. Soyez,FastJet user manual, Eur. Phys. J. C72(2012) 1896, arXiv:1111.6097 [hep-ph]
Pith/arXiv arXiv 2012
-
[48]
ATLAS Collaboration,Jet energy scale and resolution measured in proton–proton collisions at√𝑠=13TeV with the ATLAS detector, Eur. Phys. J. C81(2021) 689, arXiv:2007.02645 [hep-ex]
arXiv 2021
-
[49]
ATLAS Collaboration,Performance of pile-up mitigation techniques for jets in𝑝 𝑝collisions at√𝑠=8TeV using the ATLAS detector, Eur. Phys. J. C76(2016) 581, arXiv:1510.03823 [hep-ex]
Pith/arXiv arXiv 2016
-
[50]
ATLAS Collaboration,ATLAS data quality operations and performance for 2015–2018 data-taking, JINST15(2020) P04003, arXiv:1911.04632 [physics.ins-det]
arXiv 2015
-
[51]
ATLAS Collaboration, Monitoring and data quality assessment of the ATLAS liquid argon calorimeter, JINST9(2014) P07024, arXiv:1405.3768 [hep-ex]
Pith/arXiv arXiv 2014
-
[52]
ATLAS Collaboration, Selection of jets produced in13TeV proton–proton collisions with the ATLAS detector, ATLAS-CONF-2015-029, 2015,url:https://cds.cern.ch/record/2037702
arXiv 2015
-
[53]
UA2 Collaboration,Search for decays of the W±and Z bosons into quark-antiquark pairs, Physics Letters B186(1987) 452
1987
-
[54]
UA2 Collaboration, A measurement of two-jet decays of the W and Z bosons at the CERN𝑝p collider, Zeitschrift für Physik C Particles and Fields49(1991) 17
1991
-
[55]
ATLAS Collaboration,Measurement of𝑊 ± and 𝑍-boson production cross sections in𝑝 𝑝collisions at √𝑠=13TeV with the ATLAS detector, Phys. Lett. B759(2016) 601, arXiv:1603.09222 [hep-ex]. 23
Pith/arXiv arXiv 2016
-
[56]
CDF Collaboration,Global search for new physics with 2.0 fb−1 at CDF, Phys. Rev. D79(2009) 011101, arXiv:0809.3781 [hep-ex]
Pith/arXiv arXiv 2009
-
[57]
G. Choudalakis,On hypothesis testing, trials factor, hypertests and the BumpHunter, PHYSTAT Proceedings (), arXiv:1101.0390 [physics.data-an]
-
[58]
ATLAS Collaboration,Search for Scalar Diphoton Resonances in the Mass Range 65–600GeV with the ATLAS Detector in𝑝 𝑝Collision Data at√𝑠=8TeV, Phys. Rev. Lett.113(2014) 171801, arXiv:1407.6583 [hep-ex]
Pith/arXiv arXiv 2014
-
[59]
M. Baak, S. Gadatsch, R. Harrington and W. Verkerke,Interpolation between multi-dimensional histograms using a new non-linear moment morphing method, Nucl. Instrum. Meth. A771(2015) 39, arXiv:1410.7388 [physics.data-an]
Pith/arXiv arXiv 2015
-
[60]
ATLAS Collaboration,Search for New Particles in Two-Jet Final States in7TeV Proton–Proton Collisions with the ATLAS Detector at the LHC, Phys. Rev. Lett.105(2010) 161801, arXiv:1008.2461 [hep-ex]
Pith/arXiv arXiv 2010
-
[61]
W. Verkerke and D. Kirkby,The RooFit toolkit for data modeling, 2003, arXiv:physics/0306116 [physics.data-an]
Pith/arXiv arXiv 2003
-
[62]
Moneta et al.,The RooStats Project, 2011, arXiv:1009.1003 [physics.data-an]
L. Moneta et al.,The RooStats Project, 2011, arXiv:1009.1003 [physics.data-an]
Pith/arXiv arXiv 2011
-
[63]
ATLAS Collaboration,Recommendations for the Modeling of Smooth Backgrounds, ATL-PHYS-PUB-2020-028, 2020,url:https://cds.cern.ch/record/2743717
arXiv 2020
-
[64]
G. Cowan, K. Cranmer, E. Gross and O. Vitells, Asymptotic formulae for likelihood-based tests of new physics, Eur. Phys. J. C71(2011) 1554, arXiv:1007.1727 [physics.data-an], Erratum: Eur. Phys. J. C73(2013) 2501
Pith/arXiv arXiv 2011
-
[65]
A. L. Read,Presentation of search results: the𝐶 𝐿𝑠 technique, J. Phys. G28(2002) 2693
2002
-
[66]
ATLAS Collaboration,Precise measurements of𝑊- and𝑍-boson transverse momentum spectra with the ATLAS detector using𝑝 𝑝collisions at√𝑠=5.02TeV and13TeV, Eur. Phys. J. C84(2024) 1126, arXiv:2404.06204 [hep-ex]
arXiv 2024
-
[67]
Ranft and J
G. Ranft and J. Ranft,QCD-weak interference and predictions for vector boson signals in hadronic jet cross sections in polarized and unpolarized pp and pp collisions, Physics Letters B87(1979) 122
1979
-
[68]
U. Baur, E. Glover and A. Martin, Electroweak interference effects in two-jet production at pp colliders, Physics Letters B232(1989) 519
1989
-
[69]
C. Ding, B. Fuller, E. Jones, A. Martin and W. Murray, Electroweak-QCD interference in hadronic vector bosons decays at the LHC, Eur. Phys. J. C80(2020) 176, arXiv:1908.08330 [hep-ph]
arXiv 2020
-
[70]
ATLAS Collaboration,ATLAS Computing Acknowledgements, ATL-SOFT-PUB-2026-001, 2026, url:https://cds.cern.ch/record/2952666. 24 The ATLAS Collaboration G. Aad 102, E. Aakvaag 17, B. Abbott 121, S. Abdelhameed 83b, K. Abeling 54, N.J. Abicht 48, S.H. Abidi 30, M. Aboelela 44, A. Aboulhorma 36e, H. Abramowicz 154, B.S. Acharya 68a,68b,m, A.Ackermann 62a, J.Ac...
arXiv 2026
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.