REVIEW 2 major objections 4 minor 88 references
Electroweak W-boson production with two high-mass jets is measured at 480 ± 12 ± 39 ± 53 fb in 13 TeV collisions and agrees with Standard Model predictions; the first differential cross-sections tighten limits on anomalous triple-gauge-boso
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
2026-08-01 07:08 UTC pith:QPWVFJGI
load-bearing objection Solid first differential EW Wjj at 13 TeV; f(x) closure-test worry is real but likely covered by large QCD Wjj shape uncertainties—worth a serious referee. the 2 major comments →
Measurements of the electroweak production of a W boson in association with two jets at sqrt{s}=13\,TeV with the ATLAS detector
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The central claim is that electroweak W+two-jet (EW Wjj) production in a vector-boson-fusion-enhanced phase space at √s=13 TeV is well described by the Standard Model, and that the new measurement sharpens constraints on the triple-gauge-boson vertex. Using 140 fb⁻¹ of ATLAS data, the paper selects events with a leptonically decaying W boson and at least two forward jets with m_jj > 1 TeV and |Δy_jj| > 2, then extracts the EW signal with a binned maximum-likelihood fit that constrains the dominant QCD Wjj background from three control regions. The measured particle-level fiducial cross-section is 480 ± 12 (stat) ± 39 (exp) ± 53 (theory) fb, consistent with the NLO QCD predictions of 431 ± 7
What carries the argument
The load-bearing element is the simultaneous signal-plus-background extraction: an extended binned maximum-likelihood fit over four mutually exclusive regions defined by lepton centrality C_ℓ and number of central jets N_cent_jets. The QCD Wjj background, the main contaminant, is constrained per bin by parameters ρ_i^central/ρ_i^forward in the control regions CR0/CR1, while its yield in the signal region SR and control region CR2 is connected to them by a smooth residual correction f(x), taken as a first-order polynomial for m_jj, |Δy_jj|, Δφ_jj and as a logarithm for p_T^jj, p_T^j1, p_T^ℓ. Each observable is fit separately with 3N_bins+2 free parameters. The fitted EW yields are unfolded to
Load-bearing premise
The QCD Wjj background in the signal region is assumed to follow the same smooth functional form f(x) in each observable as in the CR2 control region; if the true signal-to-control-region ratio has structure the fit cannot absorb, the extracted EW signal could shift by more than the quoted uncertainties.
What would settle it
Run the nominal extraction on pseudo-experiments where the CR2/SR QCD ratio has a step (say +30% at m_jj = 2 TeV); a bias larger than the reported statistical uncertainty on the EW yield would falsify the smooth-f(x) background assumption. Alternatively, a future measurement with doubled statistics that keeps the observed high-m_jj excess above the SM at more than 2σ would falsify the claim of full SM consistency.
If this is right
- If correct, the 480 ± 12 ± 39 ± 53 fb fiducial cross-section confirms that vector-boson-fusion-style Wjj production at high dijet mass occurs at the rate the Standard Model predicts.
- The six unfolded differential cross-sections provide particle-level reference spectra that future Wjj Monte Carlo tunes and higher-order calculations can be validated against.
- The linear-only 95% interval on c_W/Λ² of [−0.17, 0.12] TeV⁻² adds a competitive, independent constraint on anomalous WWγ/WWZ couplings, complementing existing Wγ and Hγγ bounds.
- Splitting Δφ_jj by lepton pT at 150 GeV measurably boosts EFT sensitivity, showing that energy information beyond a single angular spectrum is needed to separate new-physics signals.
Where Pith is reading between the lines
- The theory uncertainty (53 fb) dominates over statistical (12 fb) and experimental (39 fb); improving the QCD Wjj shape estimation—e.g., through NNLO calculations or a fully data-driven transfer—would likely convert EW Wjj into a more precise SMEFT probe than the current measurement.
- The observed CP-odd coefficient c̃_W/Λ² interval is asymmetric about zero ([−0.083, 0.25] linear-only); if this asymmetry grows with more data from the HL-LHC, it would be a hint of CP violation in the electroweak gauge sector, though the current interval is compatible with zero.
- The appendix's combined EW+QCD measurement shows the largest deviations at high m_jj, where the EW contribution dominates; a dedicated NNLO (or NLO-EW-matched) prediction for that region could settle whether the tail is a statistical fluctuation or a genuine discrepancy.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper reports a measurement of the electroweak production of a W boson in association with two jets (EW Wjj) using 140 fb^-1 of 13 TeV pp collisions collected by ATLAS. Events are selected in a VBF-enhanced fiducial region with high-m_jj tag jets, a central lepton, and no central additional jets. A binned maximum-likelihood fit to four regions extracts the EW Wjj signal by constraining the dominant QCD Wjj background through per-bin normalization parameters rho_i and a smooth residual function f(x). The fiducial cross-section is 480 +- 12 (stat) +- 39 (exp) +- 53 (theo) fb, consistent with SM predictions. Differential cross-sections are unfolded to particle level in six observables (m_jj, pT(jj), pT(l), pT(j1), |Delta_y_jj|, Delta_phi_jj). Results are interpreted in SMEFT, giving 95% CL intervals on Wilson coefficients, e.g., linear-only c_W/Lambda^2 = [-0.17, 0.12] TeV^-2, among the most stringent to date. An appendix also reports combined EW+QCD Wjj cross-sections.
Significance. If the result holds, this is a valuable new measurement: it provides the first differential EW Wjj cross-sections at 13 TeV and a competitive EFT interpretation. The analysis is thorough: it propagates statistical, experimental, theoretical, and unfolding uncertainties with per-observable breakdowns; cross-checks with alternative generators (Powheg+Herwig, Sherpa, MadGraph) are included; the multijet background is estimated with two independent data-driven methods; and the unfolding is tested with pseudo-data. The main weakness is the model dependence of the QCD Wjj background extrapolation from control regions to the signal region. The paper is transparent about the linear-only vs. linear-plus-quadratic EFT interpretations and about the comparability of its limits.
major comments (2)
- [Sections 5.2 and 7, Eq. (3)] The QCD Wjj background in the SR is related to CR2 through the two-parameter smooth function f(x) (first-order polynomial or logarithm), with rho_i parameters constrained mainly by CR0/CR1. Since QCD Wjj is about 50% of the SR, a smooth but non-factorizable shape difference between the zero-central-jet region and the >=1-central-jet region, or between central and forward lepton selections, could bias the extracted EW Wjj signal by an amount comparable to the quoted theory uncertainty. The validation in Section 7 tests alternative forms of f(x) and a reparameterization with CR0 supplying f(x), but only reports consistency 'given the statistical uncertainty' and assigns no systematic. Please provide quantitative closure tests (e.g., pseudo-experiments with injected shape differences) and either assign a corresponding systematic or demonstrate that the method is unbiased well below the tota
- [Section 9, EFT interpretation] The EFT signal samples are generated at LO QCD with MadGraph and reweighted to NLO using the bin-by-bin SM ratio of Powheg+Pythia8 to MadGraph. This assumes that the NLO QCD corrections factorize from the EFT operator insertion. The paper does not justify this for the EFT shapes beyond the SM, nor does it assign an uncertainty for this approximation. Since the EFT limits (Table 5) rely on the shape of Delta_phi_jj, a shape-dependent NLO correction could bias the limits on c_W/Lambda^2 and c_HWB/Lambda^2. Please either validate the reweighting with an alternative procedure or assign a systematic for this approximation.
minor comments (4)
- [Abstract] The phrase 'limits placed on anomalous triple-gauge-boson couplings are among the most stringent to date for linear terms' is vague; the conclusion specifies that only the c_W/Lambda^2 limits are most competitive. Please rephrase for precision.
- [Section 5.2] The negative log-likelihood function omits the factorial term; it is correct up to an additive constant but should be stated as such. Also, the binned parameters rho_central_i and rho_forward_i could be defined more explicitly as per-bin nuisance parameters.
- [Section 7] The sentence 'Deriving the QCD Wjj estimate directly from the data suggests the control regions chosen to receive the rho_i and f(x) corrections could be switched without changing the results' is awkward; consider rewriting for clarity.
- [Section 9] The neural-network-based study motivating the lepton-pT split at 150 GeV is not described. A reference or a brief description of the methodology would aid reproducibility.
Circularity Check
No significant circularity: the measurement compares data to external MC predictions, and the EFT limits are fit outputs rather than inputs renamed as predictions.
full rationale
The paper's central claim is a direct detector measurement: the fiducial EW Wjj cross-section is extracted from data via a simultaneous likelihood fit in which the EW signal strength and the QCD background correction parameters are free; the result is compared with independent generator predictions (Powheg+Pythia8, Powheg+Herwig, Sherpa) that are not fitted to the data. The EFT Wilson-coefficient limits in Table 5 are explicitly fit outputs from a likelihood fit to the unfolded Delta-phi_jj distributions, not fitted values relabelled as predictions. The only potentially fragile step is the CR2-to-SR QCD extrapolation through the smooth residual f(x) in Eq. (3); the paper tests alternative functional forms and a reparameterized fit (Section 7), but assigns no closure systematic. That is a modeling/uncertainty concern about closure and statistical power, not a circular reduction: the EW signal is not defined in terms of f(x), and f(x) is constrained primarily in CR2 rather than being a fit to the signal region. Self-citations to prior ATLAS measurements ([2], [6]) and detector/luminosity references supply methodology and calibration constants; they are not invoked as a uniqueness theorem or as the justification for the measured values. No load-bearing step is equivalent by construction to its own input, so the circularity score is 0.
Axiom & Free-Parameter Ledger
free parameters (4)
- f(x) parameters (2 per observable) =
not quoted; fitted to CR2 data per observable
- ρ_central_i and ρ_forward_i =
per-bin values from the likelihood fit
- Centrality threshold 0.4 =
0.4
- Lepton-pT split at 150 GeV =
150 GeV
axioms (6)
- domain assumption NLO QCD Monte Carlo generators (Powheg+Pythia8) accurately model the shapes of EW and QCD Wjj production after data-driven corrections.
- domain assumption The VBF approximation for EW Wjj excludes overlap with diboson topologies and is an adequate signal definition.
- domain assumption NLO EW corrections from Ref. [32] are applicable to this phase space and are propagated as an uncertainty equal to their size.
- ad hoc to paper The QCD Wjj background ratio between CR2 and SR is described by the fitted smooth function f(x).
- domain assumption EW–QCD interference is small in the fiducial region and can be treated as an additive uncertainty.
- domain assumption The SMEFT interpretation assumes U(3)^5 flavor symmetry, massless fermions, the m_W input scheme, and only one Wilson coefficient nonzero at a time.
read the original abstract
Measurements of the electroweak production of a $W$ boson in association with two jets at high dijet invariant mass are performed using a dataset from $140\,\mathrm{fb}^{-1}$ of $\sqrt{s}=13\,\mathrm{TeV}$ proton-proton collisions recorded by the ATLAS detector at the LHC. The measurements are made in a fiducial region where the $W$ boson's production via vector-boson fusion is enhanced. The fiducial region requires at least two jets, an electron or a muon, and a neutrino, assuming a leptonic $W$ decay. In addition to the integrated production cross-section, differential cross-sections unfolded to particle level are determined as functions of observables which characterise angular properties of the two highest-energy jets, the kinematics of the $W$ boson, and the transverse momenta of the highest-energy jet and the charged lepton. Results are interpreted in the context of an effective field theory, and the limits placed on anomalous triple-gauge-boson couplings are among the most stringent to date for linear terms of the extended Lagrangian.
Reference graph
Works this paper leans on
-
[1]
ATLAS Collaboration, Measurementoftheelectroweakproductionofdijetsinassociationwitha 𝑍-bosonanddistributions sensitive to vector boson fusion in proton–proton collisions at√𝑠=8TeV using the ATLAS detector, JHEP04(2014) 031, arXiv:1401.7610 [hep-ex]
Pith/arXiv arXiv 2014
-
[2]
ATLAS Collaboration,Measurements of electroweak𝑊𝑗𝑗production and constraints on anomalous gauge couplings with the ATLAS detector, Eur. Phys. J. C77(2017) 474, arXiv:1703.04362 [hep-ex]
Pith/arXiv arXiv 2017
-
[3]
CMS Collaboration,Measurement of electroweak production of a𝑊 boson and two forward jets in proton–proton collisions at√𝑠=8TeV, JHEP11(2016) 147, arXiv:1607.06975 [hep-ex]
Pith/arXiv arXiv 2016
-
[4]
CMS Collaboration,Electroweak production of two jets in association with a𝑍boson in proton–proton collisions at√𝑠=13TeV, Eur. Phys. J. C78(2018) 589, arXiv:1712.09814 [hep-ex]
Pith/arXiv arXiv 2018
-
[5]
CMS Collaboration,Measurement of electroweak production of a𝑊 boson in association with two jets in proton–proton collisions at√𝑠=13TeV, Eur. Phys. J. C80(2020) 43, arXiv:1903.04040 [hep-ex]
Pith/arXiv arXiv 2020
-
[6]
ATLAS Collaboration,Differential cross-section measurements for the electroweak production of dijets in association with a𝑍boson in proton–proton collisions at ATLAS, Eur. Phys. J. C81(2021) 163, arXiv:2006.15458 [hep-ex]
Pith/arXiv arXiv 2021
-
[7]
Degrande et al.,Effective field theory: A modern approach to anomalous couplings, Ann
C. Degrande et al.,Effective field theory: A modern approach to anomalous couplings, Ann. Phys. (N. Y.)335(2013) 21, arXiv:1205.4231 [hep-ph]
Pith/arXiv arXiv 2013
-
[8]
ATLAS Collaboration,The ATLAS Experiment at the CERN Large Hadron Collider, JINST3(2008) S08003
2008
-
[9]
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. 34
2018
-
[10]
ATLAS Collaboration,Performance of the ATLAS trigger system in 2015, Eur. Phys. J. C77(2017) 317, arXiv:1611.09661 [hep-ex]
Pith/arXiv arXiv 2015
-
[11]
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
-
[12]
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]
Pith/arXiv arXiv 2023
-
[13]
ATLAS Collaboration,ATLAS data quality operations and performance for 2015–2018 data-taking, JINST15(2020) P04003, arXiv:1911.04632 [physics.ins-det]
Pith/arXiv arXiv 2015
-
[14]
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]
Pith/arXiv arXiv 2020
-
[15]
ATLAS Collaboration,Performance of the ATLAS muon triggers in Run 2, JINST15(2020) P09015, arXiv:2004.13447 [physics.ins-det]
Pith/arXiv arXiv 2020
-
[16]
ATLAS Collaboration,The ATLAS Simulation Infrastructure, Eur. Phys. J. C70(2010) 823, arXiv:1005.4568 [physics.ins-det]
Pith/arXiv arXiv 2010
-
[17]
Agostinelli et al.,Geant4– a simulation toolkit, Nucl
S. Agostinelli et al.,Geant4– a simulation toolkit, Nucl. Instrum. Meth. A506(2003) 250
2003
-
[18]
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
-
[19]
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
arXiv 2016
-
[20]
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
-
[21]
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]
Pith/arXiv arXiv 2015
-
[22]
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]
Pith/arXiv arXiv 2021
-
[23]
P. Nason,A new method for combining NLO QCD with shower Monte Carlo algorithms, JHEP11(2004) 040, arXiv:hep-ph/0409146
Pith/arXiv arXiv 2004
-
[24]
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]
Pith/arXiv arXiv 2007
-
[25]
S. Alioli, P. Nason, C. Oleari and E. Re,A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX, JHEP06(2010) 043, arXiv:1002.2581 [hep-ph]
Pith/arXiv arXiv 2010
-
[26]
F. Schissler and D. Zeppenfeld, Parton Shower Effects on𝑊and𝑍Production via Vector Boson Fusion at NLO QCD, JHEP04(2013) 057, arXiv:1302.2884 [hep-ph]. 35
Pith/arXiv arXiv 2013
-
[27]
NNPDF Collaboration, R. D. Ball et al.,Parton distributions for the LHC run II, JHEP04(2015) 040, arXiv:1410.8849 [hep-ph]
Pith/arXiv arXiv 2015
-
[28]
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]
Pith/arXiv arXiv 2016
-
[29]
B. Jäger, S. Schneider and G. Zanderighi, Next-to-leading order QCD corrections to electroweak𝑍𝑗𝑗production in the POWHEG BOX, JHEP09(2012) 083, arXiv:1207.2626 [hep-ph]
Pith/arXiv arXiv 2012
-
[30]
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
-
[31]
ATLAS Collaboration,ATLAS Pythia 8 tunes to7TeV data, ATL-PHYS-PUB-2014-021, 2014, url:https://cds.cern.ch/record/1966419
arXiv 2014
-
[32]
J. M. Lindert, S. Pozzorini and M. Schönherr, Precise predictions for V + 2 jet backgrounds in searches for invisible Higgs decays, JHEP01(2023) 070, arXiv:2204.07652 [hep-ph]
Pith/arXiv arXiv 2023
-
[33]
Bähr et al.,Herwig++ physics and manual, Eur
M. Bähr et al.,Herwig++ physics and manual, Eur. Phys. J. C58(2008) 639, arXiv:0803.0883 [hep-ph]
Pith/arXiv arXiv 2008
-
[34]
Bellm et al.,Herwig 7.0/Herwig++ 3.0 release note, Eur
J. Bellm et al.,Herwig 7.0/Herwig++ 3.0 release note, Eur. Phys. J. C76(2016) 196, arXiv:1512.01178 [hep-ph]
Pith/arXiv arXiv 2016
-
[35]
Gleisberg et al.,Event generation with SHERPA 1.1, JHEP02(2009) 007, arXiv:0811.4622 [hep-ph]
T. Gleisberg et al.,Event generation with SHERPA 1.1, JHEP02(2009) 007, arXiv:0811.4622 [hep-ph]
Pith/arXiv arXiv 2009
-
[36]
E. Bothmann et al.,Event generation with Sherpa 2.2, SciPost Phys.7(2019) 034, arXiv:1905.09127 [hep-ph]
Pith/arXiv arXiv 2019
-
[37]
T. Gleisberg and S. Höche,Comix, a new matrix element generator, JHEP12(2008) 039, arXiv:0808.3674 [hep-ph]
Pith/arXiv arXiv 2008
-
[38]
A. Denner, S. Dittmaier and L. Hofer, Collier: A fortran-based complex one-loop library in extended regularizations, Comput. Phys. Commun.212(2017) 220, arXiv:1604.06792 [hep-ph]
Pith/arXiv arXiv 2017
-
[39]
F. Cascioli, P. Maierhöfer and S. Pozzorini,Scattering Amplitudes with Open Loops, Phys. Rev. Lett.108(2012) 111601, arXiv:1111.5206 [hep-ph]
Pith/arXiv arXiv 2012
-
[40]
S. Höche, F. Krauss, S. Schumann and F. Siegert,QCD matrix elements and truncated showers, JHEP05(2009) 053, arXiv:0903.1219 [hep-ph]
Pith/arXiv arXiv 2009
-
[41]
J. M. Campbell, R. K. Ellis, P. Nason and G. Zanderighi, W and Z Bosons in association with two jets using the POWHEG method, JHEP08(2013) 005, arXiv:1303.5447 [hep-ph]
Pith/arXiv arXiv 2013
-
[42]
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]
Pith/arXiv arXiv 2010
-
[43]
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]
Pith/arXiv arXiv 2014
-
[44]
P. Nason and C. Oleari,Generation cuts and Born suppression in POWHEG, (2013), arXiv:1303.3922 [hep-ph]. 36
Pith/arXiv arXiv 2013
-
[45]
E. Re, NLO corrections merged with parton showers for Z + 2 jets production using the POWHEG method, JHEP10(2012) 031, arXiv:1204.5433 [hep-ph]
Pith/arXiv arXiv 2012
-
[46]
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]
Pith/arXiv arXiv 2014
-
[47]
S. Frixione, G. Ridolfi and P. Nason, A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction, JHEP09(2007) 126, arXiv:0707.3088 [hep-ph]
Pith/arXiv arXiv 2007
-
[48]
M. Czakon and A. Mitov, Top++: A program for the calculation of the top-pair cross-section at hadron colliders, Comput. Phys. Commun.185(2014) 2930, arXiv:1112.5675 [hep-ph]
Pith/arXiv arXiv 2014
-
[49]
N. Kidonakis and N. Yamanaka, Higher-order corrections for𝑡𝑊 production at high-energy hadron colliders, JHEP05(2021) 278, arXiv:2102.11300 [hep-ph]
Pith/arXiv arXiv 2021
-
[50]
Z. L. Liu and J. Gao, s -channel single top quark production and decay at next-to-next-to-leading-order in QCD, Phys. Rev. D98(2018) 071501, arXiv:1807.03835 [hep-ph]
Pith/arXiv arXiv 2018
-
[51]
J. Campbell, T. Neumann and Z. Sullivan,Single-top-quark production in the𝑡-channel at NNLO, JHEP02(2021) 040, arXiv:2012.01574 [hep-ph]
Pith/arXiv arXiv 2021
-
[52]
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
arXiv 2015
-
[53]
ATLAS Collaboration,Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton–proton collision data at√𝑠=13TeV , Eur. Phys. J. C79(2019) 639, arXiv:1902.04655 [physics.ins-det]
Pith/arXiv arXiv 2015
-
[54]
ATLAS Collaboration,Electron and photon efficiencies in LHC Run 2 with the ATLAS experiment, JHEP05(2024) 162, arXiv:2308.13362 [hep-ex]
Pith/arXiv arXiv 2024
-
[55]
ATLAS Collaboration,Muon reconstruction performance of the ATLAS detector in proton–proton collision data at√𝑠=13TeV, Eur. Phys. J. C76(2016) 292, arXiv:1603.05598 [hep-ex]
Pith/arXiv arXiv 2016
-
[56]
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
-
[57]
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
-
[58]
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
-
[59]
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]
Pith/arXiv arXiv 2021
-
[60]
ATLAS Collaboration, Optimisation and performance studies of the ATLAS𝑏-tagging algorithms for the 2017-18 LHC run, ATL-PHYS-PUB-2017-013, 2017,url:https://cds.cern.ch/record/2273281. 37
arXiv 2017
-
[61]
ATLAS Collaboration,ATLAS flavour-tagging algorithms for the LHC Run 2𝑝𝑝 collision dataset, Eur. Phys. J. C83(2023) 681, arXiv:2211.16345 [physics.data-an]
Pith/arXiv arXiv 2023
-
[62]
ATLAS Collaboration,Performance of pile-up mitigation techniques for jets in𝑝𝑝collisions at√𝑠=8TeV using the ATLAS detector, Eur. Phys. J. C76(2016) 581, arXiv:1510.03823 [hep-ex]
Pith/arXiv arXiv 2016
-
[63]
ATLAS Collaboration,Forward jet vertex tagging using the particle flow algorithm, ATL-PHYS-PUB-2019-026, 2019,url:https://cds.cern.ch/record/2683100
arXiv 2019
-
[64]
ATLAS Collaboration,The performance of missing transverse momentum reconstruction and its significance with the ATLAS detector using140fb−1 of√𝑠=13TeV𝑝𝑝collisions, Eur. Phys. J. C85(2025) 606, arXiv:2402.05858 [hep-ex]
Pith/arXiv arXiv 2025
-
[65]
ATLAS Collaboration,TRExFitter,url:https://doi.org/10.5281/zenodo.14845712
-
[66]
ATLAS Collaboration, Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC, JINST18(2023) T11004, arXiv:2211.16178 [hep-ex]
Pith/arXiv arXiv 2023
-
[67]
D’Agostini,A multidimensional unfolding method based on Bayes’ theorem, Nucl
G. D’Agostini,A multidimensional unfolding method based on Bayes’ theorem, Nucl. Instrum. Meth. A362(1995) 487
1995
-
[68]
T. Adye, ‘Unfolding algorithms and tests using RooUnfold’, Proceedings, 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding (PHYSTAT 2011)(CERN, Geneva, Switzerland, 17th–20th Jan. 2011) 313, arXiv:1105.1160 [physics.data-an]
Pith/arXiv arXiv 2011
-
[69]
ATLAS Collaboration,Proposal for particle-level object and observable definitions for use in physics measurements at the LHC, ATL-PHYS-PUB-2015-013, 2015, url:https://cds.cern.ch/record/2022743
arXiv 2015
-
[70]
M. Cacciari and G. P. Salam,Pileup subtraction using jet areas, Phys. Lett. B659(2008) 119, arXiv:0707.1378 [hep-ph]
Pith/arXiv arXiv 2008
-
[71]
ATLAS Collaboration, Evaluating statistical uncertainties and correlations using the bootstrap method, ATL-PHYS-PUB-2021-011, 2021,url:https://cds.cern.ch/record/2759945
arXiv 2021
-
[72]
ATLAS Collaboration, Identification and rejection of pile-up jets at high pseudorapidity with the ATLAS detector, Eur. Phys. J. C77(2017) 580, arXiv:1705.02211 [hep-ex], Erratum: Eur. Phys. J. C77(2017) 712
Pith/arXiv arXiv 2017
-
[73]
ATLAS Collaboration,Measurement of the Inelastic Proton–Proton Cross Section at√𝑠=13TeV with the ATLAS Detector at the LHC, Phys. Rev. Lett.117(2016) 182002, arXiv:1606.02625 [hep-ex]
Pith/arXiv arXiv 2016
-
[74]
ATLAS Collaboration, Electron and photon energy calibration with the ATLAS detector using LHC Run 2 data, JINST19(2024) P02009, arXiv:2309.05471 [hep-ex]
Pith/arXiv arXiv 2024
-
[75]
ATLAS Collaboration,Studies of the muon momentum calibration and performance of the ATLAS detector with𝑝𝑝collisions at√𝑠=13TeV, Eur. Phys. J. C83(2023) 686, arXiv:2212.07338 [hep-ex]. 38
Pith/arXiv arXiv 2023
-
[76]
S. Dulat et al., New parton distribution functions from a global analysis of quantum chromodynamics, Phys. Rev. D93(2016) 033006, arXiv:1506.07443 [hep-ph]
Pith/arXiv arXiv 2016
-
[77]
L. A. Harland-Lang, A. D. Martin, P. Motylinski and R. S. Thorne, Parton distributions in the LHC era: MMHT 2014 PDFs, Eur. Phys. J. C75(2015) 204, arXiv:1412.3989 [hep-ph]
Pith/arXiv arXiv 2014
-
[78]
Brivio,SMEFTsim 3.0 — a practical guide, JHEP04(2021) 073
I. Brivio,SMEFTsim 3.0 — a practical guide, JHEP04(2021) 073
2021
-
[79]
I. Brivio, Y. Jiang and M. Trott,The SMEFTsim package, theory and tools, JHEP12(2017) 070, arXiv:1709.06492 [hep-ph]
Pith/arXiv arXiv 2017
-
[80]
B. Grzadkowski, M. Iskrzyński, M. Misiak and J. Rosiek, Dimension-six terms in the Standard Model Lagrangian, JHEP10(2010) 085, arXiv:1008.4884 [hep-ph]
Pith/arXiv arXiv 2010
discussion (0)
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