REVIEW 2 major objections 4 minor 1 cited by
Constraints on standard model effective field theory for a Higgs boson produced in association with W or Z bosons in the H $\to\mathrm{b\bar{b}}$ decay channel in proton-proton collisions at $\sqrt{s}$ = 13 TeV
T0 review · 2 major / 4 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read In VH(H→bb) production at 13 TeV, six SMEFT Wilson coefficients are simultaneously constrained and all match the standard model.
desk verdict A careful and genuinely new SMEFT extraction in VH(bb) using likelihood-free inference; the quadratic-model interval labeling is the only real soft spot. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the boosted information tree (BIT), a likelihood-free estimator of the likelihood ratio R(x|θ, θ0) between different SMEFT hypotheses, built from per-event matrix-element weights computed with SMEFTsim. The quadratic dependence on the six Wilson coefficients is decomposed into linear, quadratic, and mixed components of the likelihood ratio, and a Bayesian optimization of the binned template shape selects the working point in coefficient space that maximizes fully profiled sensitivity to all six coefficients. The angular basis from Ref. [38] supplies the CP-sensitive angular functions, and the coefficient basis is rotated to the mass-eigenstate basis, defining gZZ2 and gZZ4 and removing unconstrained directions in the Wilson coefficient space.
What would settle it
Re-extract the quadratic-model intervals using a Neyman construction or Monte Carlo calibration on simulated pseudo-data and check whether the q < 1 and q < 4 thresholds actually have 68% and 95% coverage.
Extended reading notes
Core claim
The paper claims that in the VH(H→bb) process at √s = 13 TeV with 138 fb⁻¹ of data, a simultaneous profiled maximum-likelihood fit to six dimension-six SMEFT Wilson coefficients — cHq1, cHq3, cHu, cHd, gZZ2, and gZZ4 — yields results consistent with the standard model. For the first time in this channel, angular observables sensitive to the CP structure of the H-V interaction are included, via a likelihood-free inference method (boosted information trees) that learns the likelihood ratio from simulated SMEFT weights. The compatibility p-values are 73% for the linear and 84% for the quadratic SMEFT expansion. The analysis claims to be the most comprehensive SMEFT interpretation in the VH(H→bb) channel to date, with constraints on vector-coupling operators generally tighter than those on gauge-coupling operators, and it reports profiled lower limits on the new-physics scale Λ for three assumptions about coefficient magnitudes.
Load-bearing premise
That the q < 1 and q < 4 thresholds define 68% and 95% confidence intervals for the quadratic SMEFT parametrization, a premise the paper itself flags as not guaranteed because Wilks-theorem regularity conditions are violated.
Editorial extensions
If this is right
- The linear-model constraints, which have proper coverage, provide robust bounds on the current operators, especially cHq3, in the VH(bb) channel.
- Quadratic SMEFT terms dominate the sensitivity for most coefficients, so future data will tighten these bounds more than linearly.
- The BIT template-optimization procedure can be extended to other multi-operator EFT analyses where profiling several coefficients degrades sensitivity.
- The inclusion of CP-sensitive angular observables opens a direct path to constrain CP-violating couplings in VH production.
- These constraints can be combined with electroweak-precision and top-quark SMEFT fits to tighten global limits on the same six operators.
Reading between the lines
- The paper leaves implicit that the quadratic-model intervals should not be quoted as confidence intervals; only the linear-model q < 1 and q < 4 thresholds carry a coverage guarantee.
- Because the data are statistically limited, the hierarchy of uncertainties suggests that a future high-luminosity run with the same method could push the new-physics scale limits to several TeV for weakly coupled coefficients.
- The template-optimization routine used here is a general solution to the profiled-EFT sensitivity problem and could be reused in global SMEFT fits outside this channel.
- The angular decomposition exploited in the 1- and 2-lepton channels is suppressed in the 0-lepton channel by final-state topology; extending similar observables to hadronic V decays would recover CP sensitivity there.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. This paper reports a CMS measurement of standard model effective field theory (SMEFT) Wilson coefficients in VH production with H to bbbar decays, using 138 fb^-1 of proton-proton collision data at sqrt(s) = 13 TeV. The analysis combines 0-, 1-, and 2-lepton channels in resolved and boosted jet topologies and uses the boosted information tree (BIT) likelihood-free inference method to construct observables sensitive to six dimension-six operator coefficients: cHq1, cHq3, cHu, cHd, gZZ2, and gZZ4. One-dimensional profiled and frozen likelihood scans are presented for linear and quadratic SMEFT parametrizations, along with two-dimensional scans and lower limits on the cutoff scale Lambda. The observed results are reported as consistent with the standard model, with compatibility p-values of 73% for the linear model and 84% for the quadratic model.
Significance. This is a technically ambitious and generally well-executed analysis. It is the first CMS study in the VH(bb) channel to use likelihood-free inference with the BIT method to probe several SMEFT operators simultaneously, including CP-sensitive angular information, and it provides a six-dimensional constraint set that goes beyond earlier STXS-based interpretations. The paper is careful in its background model, with dedicated control regions, in-situ flavor-tagging scale factors, a comprehensive systematic uncertainty model, goodness-of-fit checks, and public HEPData tables. A notable strength is the explicit disclosure in Sec. 9 that the quadratic-model likelihood-ratio intervals may under- or over-cover because Wilks regularity conditions are violated. The central SM-consistency claim is robust and independently supported by the linear-model p-value of 73%, so the coverage issue does not threaten that conclusion.
major comments (2)
- [Section 9, Fig. 7] The quadratic-model intervals are presented with q<1 and q<4 thresholds even though the text states that the Wilks regularity conditions are violated and that "The likelihood ratio intervals for the quadratic model may thus undercover or overcover." The Fig. 7 caption does not repeat this caveat, and the abstract and summary present constraints without qualification. The problem is not merely academic: the profiled quadratic q<1 interval for cHq1 is the union [-0.068,-0.028] U [0.0085,0.074], which excludes the SM value zero, so a reader treating q<1 as a 68% confidence interval would see a tension that is inconsistent with the quoted 84% compatibility p-value. Please calibrate these intervals (e.g., with an MC-based coverage or Neyman construction) or relabel them prominently and consistently as likelihood-ratio intervals without confidence-level interpretation, including in the figure, the abstract, and the summary.
- [Section 9, Fig. 8] The lower limits on the energy scale Lambda in Fig. 8 are obtained from the q=4 thresholds on the Wilson coefficients, as stated in the text: "The upper limits on the Wilson coefficients corresponding to q = 4 is used for translating the constraints to Lambda." For the quadratic parametrization these thresholds are subject to the same coverage caveat, so the Lambda limits inherit it. If the quadratic-model Lambda limits are retained as quantitative results, they should be derived from calibrated intervals or explicitly labeled as non-coverage likelihood-ratio bounds.
minor comments (4)
- [Section 7.1, Eq. (10)] The test statistic is written as q_theta = -log[L(D|theta)/L(D|theta0)] without the factor 2, whereas the thresholds q<1 and q<4 and the Delta(-2 ln L) axes in the figures correspond to the usual -2 log-likelihood ratio; please make the definition consistent.
- [Section 9] The sentence "The modified frequentist approach [117-119] is used in this search to set intervals" appears to describe a CLs procedure, but the reported intervals are asymptotic likelihood-ratio thresholds; either remove the sentence or explain how the CLs approach was used.
- [Section 4] The statement "A sufficient number of nominal values are simulated which allows the interpolation to recover the full polynomial EFT dependency" is too vague; please specify the number of simulation points and the coefficient values used to fix the quadratic polynomial in six coefficients.
- [Section 9] The sentence "For all Wilson coefficients, the quadratic components dominate the SMEFT sensitivity, except for cHq3, where the linear and quadratic terms have comparable sensitivity and therefore result in better constraints on the Wilson coefficient observed values" is unclear; comparable linear and quadratic contributions do not by themselves explain the better constraints, and the sentence should be rephrased.
Circularity Check
No circular derivation: the Wilson coefficients are fit outputs, and the likelihood-ratio template is trained on independent simulation with reserved evaluation events.
full rationale
The central claim is a measurement: six SMEFT Wilson coefficients are extracted from a profiled maximum-likelihood fit to 138 fb^-1 of CMS data. The SMEFT predictions enter the likelihood as simulated event weights from SMEFTsim and MadGraph, and the BIT regression targets are the matrix-element-level derivatives of the joint likelihood ratio. The trained polynomial is then evaluated on the 50% of events held out from training, as stated in Section 7.2: 'A fraction of 50% of the events are used for the training, which are then removed from the analysis.' No fitted parameter is recycled as a prediction, and no reported quantity is defined in terms of itself. The only load-bearing imported results are the SMEFT operator basis and the BIT likelihood-ratio formalism, both of which are stated explicitly in Eqs. (1)-(18) and validated internally through the background-free closure test and goodness-of-fit tests. The paper itself flags a coverage limitation for the quadratic-model intervals in Section 9: 'The likelihood ratio intervals for the quadratic model may thus undercover or overcover.' This is a statistical-coverage caveat, not a circularity: the linear-model intervals have correct Wilks coverage, and the SM-compatibility conclusion is supported by both the linear (73%) and quadratic (84%) p-values. Citations to Refs. [11,42,43] are methodological and are not used to forbid alternatives or to define the measured result. No anonymous or self-citation chain is load-bearing. Verdict: no significant circularity.
Assumptions & free parameters
free parameters (3)
- Background normalization scale factors for tt, V+LF, V+HF =
The parameters are allowed to float in the maximum-likelihood fit.
- In-situ flavor-tagging scale factors in boosted categories =
The parameters are unconstrained in the fit.
- V+jets shape reweighting parameters =
The parameters are derived from data in control regions.
assumptions (5)
- domain assumption SMEFT truncation at dimension-six operators; dimension-eight interference with the SM is neglected.
- domain assumption Signal acceptance in the EFT-sensitive phase space is unchanged by the SMEFT operators considered.
- domain assumption No SMEFT effects in background processes.
- domain assumption Asymptotic Wilks coverage for the quadratic-model likelihood-ratio intervals.
- domain assumption Gluon-induced ZH is insensitive to the considered operators.
Cite this review
Pith. "Pith review of Constraints on standard model effective field theory for a Higgs boson produced in association with W or Z bosons in the H $\to\mathrm{b\bar{b}}$ decay channel in proton-proton collisions at $\sqrt{s}$ = 13 TeV." pith.science (2026). https://pith.science/paper/W5Y67FKL
@misc{pith2026241116907,
author = {Pith},
title = {Pith review of: Constraints on standard model effective field theory for a Higgs boson produced in association with W or Z bosons in the H $\to\mathrmb\barb$ decay channel in proton-proton collisions at $\sqrts$ = 13 TeV},
year = {2026},
howpublished = {\url{https://pith.science/paper/W5Y67FKL}},
note = {Machine review of arXiv:2411.16907}
}
abstract
A standard model effective field theory (SMEFT) analysis with dimension-six operators probing nonresonant new physics effects is performed in the Higgs-strahlung process, where the Higgs boson is produced in association with a W or Z boson, in proton-proton collisions at a center-of-mass energy of 13 TeV. The final states in which the W or Z boson decays leptonically and the Higgs boson decays to a pair of bottom quarks are considered. The analyzed data were collected by the CMS experiment between 2016 and 2018 and correspond to an integrated luminosity of 138 fb$^{-1}$. An approach designed to simultaneously optimize the sensitivity to Wilson coefficients of multiple SMEFT operators is employed. Likelihood scans as functions of the Wilson coefficients that carry SMEFT sensitivity in this final state are performed for different expansions in SMEFT. The results are consistent with the predictions of the standard model.
Figures
Figures from the paper (10 more)
Forward citations
Cited by 1 Pith paper
-
Measurement of off-shell Higgs boson production in the $H^*\rightarrow ZZ\rightarrow 4\ell$ decay channel using a neural simulation-based inference technique in 13 TeV $pp$ collisions with the ATLAS detector
Using neural simulation-based inference, ATLAS improves evidence for off-shell Higgs production in ZZ -> 4l to 2.5 sigma observed (1.3 sigma expected) and measures Gamma_H = 4.3 +2.7 -1.9 MeV.
Reference graph
Works this paper leans on
-
[1]
Broken symmetry and the mass of gauge vector mesons
F. Englert and R. Brout, “Broken symmetry and the mass of gauge vector mesons”, Phys. Rev. Lett. 13 (1964) 321, doi:10.1103/PhysRevLett.13.321
-
[2]
Broken symmetries, massless particles and gauge fields
P . W. Higgs, “Broken symmetries, massless particles and gauge fields”, Phys. Lett. 12 (1964) 132, doi:10.1016/0031-9163(64)91136-9
-
[3]
Broken symmetries and the masses of gauge bosons
P . W. Higgs, “Broken symmetries and the masses of gauge bosons”, Phys. Rev. Lett. 13 (1964) 508, doi:10.1103/PhysRevLett.13.508
-
[4]
Global conservation laws and massless particles
G. S. Guralnik, C. R. Hagen, and T. W. B. Kibble, “Global conservation laws and massless particles”, Phys. Rev. Lett. 13 (1964) 585, doi:10.1103/PhysRevLett.13.585. 34
-
[5]
ATLAS Collaboration, “Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC”, Phys. Lett. B 716 (2012) 1, doi:10.1016/j.physletb.2012.08.020, arXiv:1207.7214
arXiv 2012
-
[6]
Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
CMS Collaboration, “Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC”, Phys. Lett. B 716 (2012) 30, doi:10.1016/j.physletb.2012.08.021, arXiv:1207.7235
arXiv 2012
-
[7]
Observation of a new boson with mass near 125 GeV in pp collisions at √s = 7 and 8 TeV
CMS Collaboration, “Observation of a new boson with mass near 125 GeV in pp collisions at √s = 7 and 8 TeV”, JHEP 06 (2013) 081, doi:10.1007/JHEP06(2013)081, arXiv:1303.4571
arXiv 2013
-
[8]
Observation of H → bb decays and VH production with the ATLAS detector
ATLAS Collaboration, “Observation of H → bb decays and VH production with the ATLAS detector”, Phys. Lett. B 786 (2018) 59, doi:10.1016/j.physletb.2018.09.013, arXiv:1808.08238
arXiv 2018
Show all 122 references
-
[9]
Observation of Higgs boson decay to bottom quarks
CMS Collaboration, “Observation of Higgs boson decay to bottom quarks”, Phys. Rev. Lett. 121 (2018) 121801, doi:10.1103/PhysRevLett.121.121801, arXiv:1808.08242
2018 arXiv
-
[10]
Measurements of WH and ZH production with Higgs boson decays into bottom quarks and direct constraints on the charm Yukawa coupling in 13 TeV pp collisions with the ATLAS detector
ATLAS Collaboration, “Measurements of WH and ZH production with Higgs boson decays into bottom quarks and direct constraints on the charm Yukawa coupling in 13 TeV pp collisions with the ATLAS detector”, 2024.arXiv:2410.19611. submitted to JHEP
2024 arXiv
-
[11]
CMS Collaboration, “Measurement of simplified template cross sections of the Higgs boson produced in association with W or Z bosons in the H →b¯b decay channel in proton-proton collisions at √s =13 TeV”, Phys. Rev. D 109 (2024) 092011, doi:0.1103/PhysRevD.109.092011, arXiv:2312.07562
2024 arXiv
-
[12]
Effective Lagrangian analysis of new interactions and flavor conservation
W. Buchmuller and D. Wyler, “Effective Lagrangian analysis of new interactions and flavor conservation”, Nucl. Phys. B 268 (1986) 621, doi:10.1016/0550-3213(86)90262-2
1986 doi
-
[13]
Operator analysis for precision electroweak physics
B. Grinstein and M. B. Wise, “Operator analysis for precision electroweak physics”, Phys. Lett. B 265 (1991) 326, doi:10.1016/0370-2693(91)90061-T
1991 doi
-
[14]
Electroweak corrections in high energy processes using effective field theory
J.-y. Chiu, F. Golf, R. Kelley, and A. V . Manohar, “Electroweak corrections in high energy processes using effective field theory”, Phys. Rev. D 77 (2008) 053004, doi:10.1103/PhysRevD.77.053004, arXiv:0712.0396
2008 arXiv
-
[15]
Effective field theory: A modern approach to anomalous couplings
C. Degrande et al., “Effective field theory: A modern approach to anomalous couplings”, Annals Phys. 335 (2013) 21, doi:10.1016/j.aop.2013.04.016, arXiv:1205.4231
2013 arXiv
-
[16]
Renormalization group evolution of the standard model dimension six operators I: formalism and lambda dependence
E. E. Jenkins, A. V . Manohar, and M. Trott, “Renormalization group evolution of the standard model dimension six operators I: formalism and lambda dependence”, JHEP 10 (2013) 087, doi:10.1007/JHEP10(2013)087, arXiv:1308.2627
2013 arXiv
-
[17]
Renormalization group evolution of the standard model dimension six operators III: gauge coupling dependence and phenomenology
R. Alonso, E. E. Jenkins, A. V . Manohar, and M. Trott, “Renormalization group evolution of the standard model dimension six operators III: gauge coupling dependence and phenomenology”, JHEP 04 (2014) 159, doi:10.1007/JHEP04(2014)159, arXiv:1312.2014. References 35
2014 arXiv
-
[18]
Renormalization group evolution of the standard model dimension six operators II: Yukawa dependence
E. E. Jenkins, A. V . Manohar, and M. Trott, “Renormalization group evolution of the standard model dimension six operators II: Yukawa dependence”, JHEP 01 (2014) 035, doi:10.1007/JHEP01(2014)035, arXiv:1310.4838
2014 arXiv
-
[19]
Effective theories and measurements at colliders
C. Englert and M. Spannowsky, “Effective theories and measurements at colliders”, Phys. Lett. B 740 (2015) 8, doi:10.1016/j.physletb.2014.11.035, arXiv:1408.5147
2015 arXiv
-
[20]
The standard model as an effective field theory
I. Brivio and M. Trott, “The standard model as an effective field theory”, Phys. Rept. 793 (2019) 1, doi:10.1016/j.physrep.2018.11.002, arXiv:1706.08945
2019 arXiv
-
[21]
The standard model effective field theory at work
G. Isidori, F. Wilsch, and D. Wyler, “The standard model effective field theory at work”, Rev. Mod. Phys. 96 (2024) 015006, doi:10.1103/RevModPhys.96.015006, arXiv:2303.16922
2024 arXiv
-
[22]
Constraints on anomalous Higgs boson couplings to vector bosons and fermions in its production and decay using the four-lepton final state
CMS Collaboration, “Constraints on anomalous Higgs boson couplings to vector bosons and fermions in its production and decay using the four-lepton final state”, Phys. Rev. D 104 (2021) 052004, doi:10.1103/PhysRevD.104.052004, arXiv:2104.12152
2021 arXiv
-
[23]
Constraints on anomalous Higgs boson couplings from its production and decay using the WW channel in proton–proton collisions at√s = 13 TeV
CMS Collaboration, “Constraints on anomalous Higgs boson couplings from its production and decay using the WW channel in proton–proton collisions at√s = 13 TeV”, Eur. Phys. J. C 84 (2024) 779, doi:10.1140/epjc/s10052-024-12925-0 , arXiv:2403.00657
2024 arXiv
-
[24]
Constraints on anomalous Higgs boson couplings to vector bosons and fermions from the production of Higgs bosons using the ττ final state
CMS Collaboration, “Constraints on anomalous Higgs boson couplings to vector bosons and fermions from the production of Higgs bosons using the ττ final state”, Phys. Rev. D 108 (2023) 032013, doi:10.1103/PhysRevD.108.032013, arXiv:2205.05120
2023 arXiv
-
[25]
Spin determination of single-produced resonances at hadron colliders
Y. Gao et al., “Spin determination of single-produced resonances at hadron colliders”, Phys. Rev. D 81 (2010) 075022, doi:10.1103/PhysRevD.81.075022, arXiv:1001.3396
2010 arXiv
-
[26]
On the spin and parity of a single-produced resonance at the LHC
S. Bolognesi et al., “On the spin and parity of a single-produced resonance at the LHC”, Phys. Rev. D 86 (2012) 095031, doi:10.1103/PhysRevD.86.095031, arXiv:1208.4018
2012 arXiv
-
[27]
Constraining anomalous HVV interactions at proton and lepton colliders
I. Anderson et al., “Constraining anomalous HVV interactions at proton and lepton colliders”, Phys. Rev. D 89 (2014) 035007, doi:10.1103/PhysRevD.89.035007, arXiv:1309.4819
2014 arXiv
-
[28]
Measurement of VH, H → bb production as a function of the vector-boson transverse momentum in 13 TeV pp collisions with the ATLAS detector
ATLAS Collaboration, “Measurement of VH, H → bb production as a function of the vector-boson transverse momentum in 13 TeV pp collisions with the ATLAS detector”, JHEP 05 (2019) 141, doi:10.1007/JHEP05(2019)141, arXiv:1903.04618
2019 arXiv
-
[29]
Measurements of WH and ZH production in the H → bb decay channel in pp collisions at 13 TeV with the ATLAS detector
ATLAS Collaboration, “Measurements of WH and ZH production in the H → bb decay channel in pp collisions at 13 TeV with the ATLAS detector”, Eur. Phys. J. C 81 (2021) 178, doi:10.1140/epjc/s10052-020-08677-2 , arXiv:2007.02873
2021 arXiv
-
[30]
Combined Higgs boson production and decay measurements with up to 137 fb−1 of proton-proton collision data at √s = 13 TeV
CMS Collaboration, “Combined Higgs boson production and decay measurements with up to 137 fb−1 of proton-proton collision data at √s = 13 TeV”, CMS Physics Analysis Summary CMS-PAS-HIG-19-005, 2020
2020
-
[31]
Top, higgs, diboson and electroweak fit to the standard model effective field theory
J. Ellis et al., “Top, higgs, diboson and electroweak fit to the standard model effective field theory”, JHEP 04 (2021) 279, doi:10.1007/JHEP04(2021)279, arXiv:2012.02779. 36
2021 arXiv
-
[32]
Combined SMEFT interpretation of Higgs, diboson, and top quark data from the LHC
SMEFiT Collaboration, “Combined SMEFT interpretation of Higgs, diboson, and top quark data from the LHC”, JHEP 11 (2021) 089, doi:10.1007/JHEP11(2021)089, arXiv:2105.00006
2021 arXiv
-
[33]
HEPData record for this analysis
“HEPData record for this analysis”, 2024. doi:10.17182/hepdata.155497
2024 doi
-
[34]
Baryon- and lepton-nonconserving processes
S. Weinberg, “Baryon- and lepton-nonconserving processes”, Phys. Rev. Lett. 43 (1979) 1566, doi:10.1103/PhysRevLett.43.1566
1979 doi
-
[35]
Dimension-six terms in the standard model Lagrangian
B. Grzadkowski, M. Iskrzynski, M. Misiak, and J. Rosiek, “Dimension-six terms in the standard model Lagrangian”, JHEP 10 (2010) 085, doi:10.1007/JHEP10(2010)085, arXiv:1008.4884
2010 arXiv
-
[36]
Model-independent precision constraints on dimension-6 operators
A. Falkowski and F. Riva, “Model-independent precision constraints on dimension-6 operators”, JHEP 02 (2015) 039, doi:10.1007/JHEP02(2015)039, arXiv:1411.0669
2015 arXiv
-
[37]
Probing electroweak precision physics via boosted Higgs-strahlung at the LHC
S. Banerjee, C. Englert, R. S. Gupta, and M. Spannowsky, “Probing electroweak precision physics via boosted Higgs-strahlung at the LHC”, Phys. Rev. D 98 (2018) 095012, doi:10.1103/PhysRevD.98.095012, arXiv:1807.01796
2018 arXiv
-
[38]
Towards the ultimate differential SMEFT analysis
S. Banerjee et al., “Towards the ultimate differential SMEFT analysis”, JHEP 09 (2020) 170, doi:10.1007/JHEP09(2020)170, arXiv:1912.07628
2020 arXiv
-
[39]
Constraining effective field theories with machine learning
J. Brehmer, K. Cranmer, G. Louppe, and J. Pavez, “Constraining effective field theories with machine learning”, Phys. Rev. Lett. 121 (2018) 111801, doi:10.1103/PhysRevLett.121.111801, arXiv:1805.00013
2018 arXiv
-
[40]
Mining gold from implicit models to improve likelihood-free inference
J. Brehmer, G. Louppe, J. Pavez, and K. Cranmer, “Mining gold from implicit models to improve likelihood-free inference”, Proc. Nat. Acad. Sci. 117 (2020) 5242, doi:10.1073/pnas.1915980117, arXiv:1805.12244
2020 arXiv
-
[41]
Parametrized classifiers for optimal EFT sensitivity
S. Chen, A. Glioti, G. Panico, and A. Wulzer, “Parametrized classifiers for optimal EFT sensitivity”, JHEP 05 (2021) 247, doi:10.1007/JHEP05(2021)247, arXiv:2007.10356
2021 arXiv
-
[42]
Tree boosting for learning EFT parameters
S. Chatterjee et al., “Tree boosting for learning EFT parameters”, Comput. Phys. Commun. 277 (2022) 108385, doi:10.1016/j.cpc.2022.108385, arXiv:2107.10859
2022
-
[43]
Learning the EFT likelihood with tree boosting
S. Chatterjee, S. Rohshap, R. Sch ¨ofbeck, and D. Schwarz, “Learning the EFT likelihood with tree boosting”, 2022. arXiv:2205.12976
2022 arXiv
-
[44]
Unbinned multivariate observables for global SMEFT analyses from machine learning
R. Gomez Ambrosio et al., “Unbinned multivariate observables for global SMEFT analyses from machine learning”, JHEP 03 (2023) 033, doi:10.1007/JHEP03(2023)033, arXiv:2211.02058
2023 arXiv
-
[45]
Handbook of LHC Higgs cross sections: 4. Deciphering the nature of the Higgs sector
LHC Higgs Cross Section Working Group, “Handbook of LHC Higgs cross sections: 4. Deciphering the nature of the Higgs sector”, CERN Report CERN-2017-002-M, 2016. doi:10.23731/CYRM-2017-002, arXiv:1610.07922
2017 arXiv
-
[46]
Constraining anomalous Higgs boson couplings to virtual photons
J. Davis et al., “Constraining anomalous Higgs boson couplings to virtual photons”, Phys. Rev. D 105 (2022) 096027, doi:10.1103/PhysRevD.105.096027, arXiv:2109.13363. References 37
2022 arXiv
-
[47]
Diboson production in the SMEFT from gluon fusion
A. Rossia, M. Thomas, and E. Vryonidou, “Diboson production in the SMEFT from gluon fusion”, JHEP 11 (2023) 132, doi:10.1007/JHEP11(2023)132, arXiv:2306.09963
2023 arXiv
-
[48]
The CMS experiment at the CERN LHC
CMS Collaboration, “The CMS experiment at the CERN LHC”, JINST 3 (2008) S08004, doi:10.1088/1748-0221/3/08/S08004
2008 doi
-
[49]
Development of the CMS detector for the CERN LHC Run 3
CMS Collaboration, “Development of the CMS detector for the CERN LHC Run 3”, JINST 19 (2024) P05064, doi:10.1088/1748-0221/19/05/P05064, arXiv:2309.05466
2024 arXiv
-
[50]
Description and performance of track and primary-vertex reconstruction with the CMS tracker
CMS Collaboration, “Description and performance of track and primary-vertex reconstruction with the CMS tracker”, JINST 9 (2014) P10009, doi:10.1088/1748-0221/9/10/P10009, arXiv:1405.6569
2014 arXiv
-
[51]
The CMS phase-1 pixel detector upgrade
CMS Tracker Group, “The CMS phase-1 pixel detector upgrade”, JINST 16 (2021) P02027, doi:10.1088/1748-0221/16/02/P02027, arXiv:2012.14304
2021 arXiv
-
[52]
Track impact parameter resolution for the full pseudo rapidity coverage in the 2017 dataset with the CMS phase-1 pixel detector
CMS Collaboration, “Track impact parameter resolution for the full pseudo rapidity coverage in the 2017 dataset with the CMS phase-1 pixel detector”, CMS Detector Performance Summary CMS-DP-2020-049, 2020
2017
-
[53]
Particle-flow reconstruction and global event description with the CMS detector
CMS Collaboration, “Particle-flow reconstruction and global event description with the CMS detector”, JINST 12 (2017) P10003, doi:10.1088/1748-0221/12/10/P10003, arXiv:1706.04965
2017 arXiv
-
[54]
Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV
CMS Collaboration, “Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV”, JINST 15 (2020) P10017, doi:10.1088/1748-0221/15/10/P10017, arXiv:2006.10165
2020 arXiv
-
[55]
The CMS trigger system
CMS Collaboration, “The CMS trigger system”, JINST 12 (2017) P01020, doi:10.1088/1748-0221/12/01/P01020, arXiv:1609.02366
2017 arXiv
-
[56]
Performance of the CMS muon trigger system in proton-proton collisions at 13 TeV
CMS Collaboration, “Performance of the CMS muon trigger system in proton-proton collisions at 13 TeV”, JINST 16 (2021) P07001, doi:10.1088/1748-0221/16/07/P07001, arXiv:2102.04790
2021 arXiv
-
[57]
A New method for combining NLO QCD with shower Monte Carlo algorithms
P . Nason, “A New method for combining NLO QCD with shower Monte Carlo algorithms”, JHEP 11 (2004) 040, doi:10.1088/1126-6708/2004/11/040, arXiv:hep-ph/0409146
2004 arXiv
-
[58]
Matching NLO QCD computations with parton shower simulations: the POWHEG method
S. Frixione, P . Nason, and C. Oleari, “Matching NLO QCD computations with parton shower simulations: the POWHEG method”, JHEP 11 (2007) 070, doi:10.1088/1126-6708/2007/11/070, arXiv:0709.2092
2007 arXiv
-
[59]
A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX
S. Alioli, P . Nason, C. Oleari, and E. Re, “A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX”, JHEP 06 (2010) 043, doi:10.1007/JHEP06(2010)043, arXiv:1002.2581
2010 arXiv
-
[60]
A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction
S. Frixione, P . Nason, and G. Ridolfi, “A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction”, JHEP 09 (2007) 126, doi:10.1088/1126-6708/2007/09/126, arXiv:0707.3088. 38
2007 arXiv
-
[61]
Top++: a program for the calculation of the top-pair cross-section at hadron colliders
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, doi:10.1016/j.cpc.2014.06.021, arXiv:1112.5675
2014 arXiv
-
[62]
Single-topt-channel hadroproduction in the four-flavour scheme with POWHEG and aMC@NLO
R. Frederix, E. Re, and P . Torrielli, “Single-topt-channel hadroproduction in the four-flavour scheme with POWHEG and aMC@NLO”, JHEP 09 (2012) 130, doi:10.1007/JHEP09(2012)130, arXiv:1207.5391
2012 arXiv
-
[63]
Single-top Wt-channel production matched with parton showers using the POWHEG method
E. Re, “Single-top Wt-channel production matched with parton showers using the POWHEG method”, Eur. Phys. J. C 71 (2011) 1547, doi:10.1140/epjc/s10052-011-1547-z , arXiv:1009.2450
2011 arXiv
-
[64]
The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
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”, JHEP 07 (2014) 079, doi:10.1007/JHEP07(2014)079, arXiv:1405.0301
2014 arXiv
-
[65]
Automatic spin-entangled decays of heavy resonances in Monte Carlo simulations
P . Artoisenet, R. Frederix, O. Mattelaer, and R. Rietkerk, “Automatic spin-entangled decays of heavy resonances in Monte Carlo simulations”, JHEP 03 (2013) 015, doi:10.1007/JHEP03(2013)015, arXiv:1212.3460
2013 arXiv
-
[66]
Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions
J. Alwall et al., “Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions”, Eur. Phys. J. C 53 (2008) 473, doi:10.1140/epjc/s10052-007-0490-5 , arXiv:0706.2569
2008 arXiv
-
[67]
Merging meets matching in MC@NLO
R. Frederix and S. Frixione, “Merging meets matching in MC@NLO”, JHEP 12 (2012) 061, doi:10.1007/JHEP12(2012)061, arXiv:1209.6215
2012 arXiv
-
[68]
LHC EFT WG Note: SMEFT predictions, event reweighting, and simulation
A. Belvedere et al., “LHC EFT WG Note: SMEFT predictions, event reweighting, and simulation”, CERN Report CERN-LHCEFTWG-2024-001, 2024. arXiv:2406.14620
2024 arXiv
-
[69]
MINLO: multi-scale improved NLO
K. Hamilton, P . Nason, and G. Zanderighi, “MINLO: multi-scale improved NLO”, JHEP 10 (2012) 155, doi:10.1007/JHEP10(2012)155, arXiv:1206.3572
2012 arXiv
-
[70]
HW/HZ + 0 and 1 jet at NLO with the POWHEG BOX interfaced to GoSam and their merging within MiNLO
G. Luisoni, P . Nason, C. Oleari, and F. Tramontano, “HW/HZ + 0 and 1 jet at NLO with the POWHEG BOX interfaced to GoSam and their merging within MiNLO”, JHEP 10 (2013) 083, doi:10.1007/JHEP10(2013)083, arXiv:1306.2542
2013 arXiv
-
[71]
The SMEFTsim package, theory and tools
I. Brivio, Y. Jiang, and M. Trott, “The SMEFTsim package, theory and tools”, JHEP 12 (2017) 070, doi:10.1007/JHEP12(2017)070, arXiv:1709.06492
2017 arXiv
-
[72]
SMEFTsim 3.0 — a practical guide
I. Brivio, “SMEFTsim 3.0 — a practical guide”, JHEP 04 (2021) 073, doi:10.1007/JHEP04(2021)073, arXiv:2012.11343
2021 arXiv
-
[73]
The Higgs width in the SMEFT
I. Brivio, T. Corbett, and M. Trott, “The Higgs width in the SMEFT”, JHEP 10 (2019) 056, doi:10.1007/JHEP10(2019)056, arXiv:1906.06949
2019 arXiv
-
[74]
MadWeight: automatic event reweighting with matrix elements
P . Artoisenet and O. Mattelaer, “MadWeight: automatic event reweighting with matrix elements”, in Proc. 2nd International Workshop on Prospects for Charged Higgs Discovery at Colliders (CHARGED 2008), T. Ekelof and J. Rathsman, eds., p. 025. 2008. doi:10.22323/1.073.0025
2008 doi
-
[75]
Parton distributions from high-precision collider data
NNPDF Collaboration, “Parton distributions from high-precision collider data”, Eur. Phys. J. C 77 (2017) 663, doi:10.1140/epjc/s10052-017-5199-5 , arXiv:1706.00428. References 39
2017 arXiv
-
[76]
Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements
CMS Collaboration, “Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements”, Eur. Phys. J. C 80 (2020) 4, doi:10.1140/epjc/s10052-019-7499-4 , arXiv:1903.12179
2020 arXiv
-
[77]
Measurement of the inelastic proton-proton cross section at√s = 13 TeV
CMS Collaboration, “Measurement of the inelastic proton-proton cross section at√s = 13 TeV”, JHEP 07 (2018) 161, doi:10.1007/JHEP07(2018)161, arXiv:1802.02613
2018 arXiv
-
[78]
G EANT 4—a simulation toolkit
GEANT4 Collaboration, “G EANT 4—a simulation toolkit”, Nucl. Instrum. Meth. A 506 (2003) 250, doi:10.1016/S0168-9002(03)01368-8
2003 doi
-
[79]
Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid
CMS Collaboration, “Technical proposal for the Phase-II upgrade of the Compact Muon Solenoid”, CMS Technical Proposal CERN-LHCC-2015-010, CMS-TDR-15-02, 2015
2015
-
[80]
Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC
CMS Collaboration, “Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC”, JINST 16 (2021) P05014, doi:10.1088/1748-0221/16/05/P05014, arXiv:2012.06888
2021 arXiv
-
[81]
ECAL 2016 refined calibration and Run2 summary plots
CMS Collaboration, “ECAL 2016 refined calibration and Run2 summary plots”, CMS Detector Performance Summary CMS-DP-2020-021, 2020
2016
-
[82]
Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s = 13 TeV
CMS Collaboration, “Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s = 13 TeV”, JINST 13 (2018) P06015, doi:10.1088/1748-0221/13/06/P06015, arXiv:1804.04528
2018 arXiv
-
[83]
The anti-kT jet clustering algorithm
M. Cacciari, G. P . Salam, and G. Soyez, “The anti-kT jet clustering algorithm”, JHEP 04 (2008) 063, doi:10.1088/1126-6708/2008/04/063, arXiv:0802.1189
2008 arXiv
-
[84]
FastJet user manual
M. Cacciari, G. P . Salam, and G. Soyez, “FastJet user manual”, Eur. Phys. J. C 72 (2012) 1896, doi:10.1140/epjc/s10052-012-1896-2 , arXiv:1111.6097
2012 arXiv
-
[85]
Jet energy scale and resolution measurement with Run 2 legacy data collected by CMS at 13 TeV
CMS Collaboration, “Jet energy scale and resolution measurement with Run 2 legacy data collected by CMS at 13 TeV”, CMS Detector Performance Summary CMS-DP-2021-033, 2021
2021
-
[86]
Pileup subtraction using jet areas
M. Cacciari and G. P . Salam, “Pileup subtraction using jet areas”, Phys. Lett. B 659 (2008) 119, doi:10.1016/j.physletb.2007.09.077, arXiv:0707.1378
2008 arXiv
-
[87]
Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV
CMS Collaboration, “Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV”, JINST 12 (2017) P02014, doi:10.1088/1748-0221/12/02/P02014, arXiv:1607.03663
2017 arXiv
-
[88]
Pileup per particle identification
D. Bertolini, P . Harris, M. Low, and N. Tran, “Pileup per particle identification”, JHEP 10 (2014) 059, doi:10.1007/JHEP10(2014)059, arXiv:1407.6013
2014 arXiv
-
[89]
Pileup mitigation at CMS in 13 TeV data
CMS Collaboration, “Pileup mitigation at CMS in 13 TeV data”, JINST 15 (2020) P09018, doi:10.1088/1748-0221/15/09/P09018, arXiv:2003.00503
2020 arXiv
-
[90]
Jet algorithms performance in 13 TeV data
CMS Collaboration, “Jet algorithms performance in 13 TeV data”, CMS Physics Analysis Summary CMS-PAS-JME-16-003, 2017
2017
-
[91]
Jet flavour classification using DeepJet
E. Bols et al., “Jet flavour classification using DeepJet”, JINST 15 (2020) P12012, doi:10.1088/1748-0221/15/12/P12012, arXiv:2008.10519. 40
2020 arXiv
-
[92]
Performance summary of AK4 jet b tagging with data from proton-proton collisions at 13 TeV
CMS Collaboration, “Performance summary of AK4 jet b tagging with data from proton-proton collisions at 13 TeV”, CMS Detector Performance Report CMS-DP-2023-005, 2023
2023
-
[93]
A deep neural network for simultaneous estimation of b jet energy and resolution
CMS Collaboration, “A deep neural network for simultaneous estimation of b jet energy and resolution”, Comput. Softw. Big Sci. 4 (2020) 10, doi:10.1007/s41781-020-00041-z , arXiv:1912.06046
2020 arXiv
-
[94]
Jet tagging via particle clouds
H. Qu and L. Gouskos, “Jet tagging via particle clouds”, Phys. Rev. D 101 (2020) 056019, doi:10.1103/PhysRevD.101.056019, arXiv:1902.08570
2020 arXiv
-
[95]
Jet substructure as a new Higgs search channel at the LHC
J. M. Butterworth, A. R. Davison, M. Rubin, and G. P . Salam, “Jet substructure as a new Higgs search channel at the LHC”, Phys. Rev. Lett. 100 (2008) 242001, doi:10.1103/PhysRevLett.100.242001, arXiv:0802.2470
2008 arXiv
-
[96]
Towards an understanding of jet substructure
M. Dasgupta, A. Fregoso, S. Marzani, and G. P . Salam, “Towards an understanding of jet substructure”, JHEP 09 (2013) 029, doi:10.1007/JHEP09(2013)029, arXiv:1307.0007
2013 arXiv
-
[97]
Soft Drop
A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler, “Soft Drop”, JHEP 05 (2014) 146, doi:10.1007/JHEP05(2014)146, arXiv:1402.2657
2014 arXiv
-
[98]
Better jet clustering algorithms
Y. L. Dokshitzer, G. D. Leder, S. Moretti, and B. R. Webber, “Better jet clustering algorithms”, JHEP 08 (1997) 001, doi:10.1088/1126-6708/1997/08/001, arXiv:hep-ph/9707323
1997 arXiv
-
[99]
Hadronization corrections to jet cross-sections in deep inelastic scattering
M. Wobisch and T. Wengler, “Hadronization corrections to jet cross-sections in deep inelastic scattering”, in Workshop on Monte Carlo Generators for HERA Physics, Hamburg, Germany, p. 270. 1998. arXiv:hep-ph/9907280
1998 arXiv
-
[100]
Identification of highly Lorentz-boosted heavy particles using graph neural networks and new mass decorrelation techniques
CMS Collaboration, “Identification of highly Lorentz-boosted heavy particles using graph neural networks and new mass decorrelation techniques”, CMS Detector Performance Report CMS-DP-2020-002, 2020
2020
-
[101]
Calibration of the mass-decorrelated ParticleNet tagger for boosted b¯b and c¯c jets using LHC Run 2 data
CMS Collaboration, “Calibration of the mass-decorrelated ParticleNet tagger for boosted b¯b and c¯c jets using LHC Run 2 data”, CMS Detector Performance Report CMS-DP-2022-005, 2022
2022
-
[102]
Performance of heavy-flavour jet identification in boosted topologies in proton-proton collisions at √s = 13 TeV
CMS Collaboration, “Performance of heavy-flavour jet identification in boosted topologies in proton-proton collisions at √s = 13 TeV”, CMS Physics Analysis Summary CMS-PAS-BTV-22-001, 2023
2023
-
[103]
Performance of missing transverse momentum reconstruction in proton-proton collisions at √s = 13 TeV using the CMS detector
CMS Collaboration, “Performance of missing transverse momentum reconstruction in proton-proton collisions at √s = 13 TeV using the CMS detector”, JINST 14 (2019) P07004, doi:10.1088/1748-0221/14/07/P07004, arXiv:1903.06078
2019 arXiv
-
[104]
Performance of Track-Corrected Missing Transverse Energy in CMS
CMS Collaboration, “Performance of Track-Corrected Missing Transverse Energy in CMS”, CMS Physics Analysis Summary CMS-PAS-JME-09-010, 2009
2009
-
[105]
Review of particle physics
Particle Data Group, R. L. Workman et al., “Review of particle physics”, Prog. Theor. Exp. Phys. 2022 (2022) 083C01, doi:10.1093/ptep/ptac097
2022 doi
-
[106]
A guide to constraining effective field theories with machine learning
J. Brehmer, K. Cranmer, G. Louppe, and J. Pavez, “A guide to constraining effective field theories with machine learning”, Phys. Rev. D 98 (2018) 052004, doi:10.1103/PhysRevD.98.052004, arXiv:1805.00020. References 41
2018 arXiv
-
[107]
LightGBM: A highly efficient gradient boosting decision tree
G. Ke et al., “LightGBM: A highly efficient gradient boosting decision tree”, in Advances in Neural Information Processing Systems 30 (NIPS 2017) , I. Guyon et al., eds. Curran Associates, Inc., 2017
2017
-
[108]
A tutorial on Bayesian optimization
P . I. Frazier, “A tutorial on Bayesian optimization”, 2018.arXiv:1807.02811
2018 arXiv
-
[109]
PDF4LHC recommendations for LHC run II
J. Butterworth et al., “PDF4LHC recommendations for LHC run II”, J. Phys. G 43 (2016) 040, doi:10.1088/0954-3899/43/2/023001, arXiv:1510.03865
2016 arXiv
-
[110]
Precision luminosity measurement in proton-proton collisions at√s = 13 TeV in 2015 and 2016 at CMS
CMS Collaboration, “Precision luminosity measurement in proton-proton collisions at√s = 13 TeV in 2015 and 2016 at CMS”, Eur. Phys. J. C 81 (2021) 800, doi:10.1140/epjc/s10052-021-09538-2 , arXiv:2104.01927
2021 arXiv
-
[111]
CMS luminosity measurement for the 2017 data-taking period at√s = 13 TeV
CMS Collaboration, “CMS luminosity measurement for the 2017 data-taking period at√s = 13 TeV”, CMS Physics Analysis Summary CMS-PAS-LUM-17-004, 2018
2017
-
[112]
CMS luminosity measurement for the 2018 data-taking period at√s = 13 TeV
CMS Collaboration, “CMS luminosity measurement for the 2018 data-taking period at√s = 13 TeV”, CMS Physics Analysis Summary CMS-PAS-LUM-18-002, 2019
2018
-
[113]
Fitting using finite Monte Carlo samples
R. Barlow and C. Beeston, “Fitting using finite Monte Carlo samples”, Comput. Phys. Commun. 77 (1993) 219, doi:10.1016/0010-4655(93)90005-W
1993 doi
-
[114]
The CMS statistical analysis and combination tool: COMBINE
CMS Collaboration, “The CMS statistical analysis and combination tool: COMBINE”, Comput. Softw. Big Sci. 8 (2024) 19, doi:10.1007/s41781-024-00121-4 , arXiv:2404.06614
2024 arXiv
-
[115]
The RooFit toolkit for data modeling
W. Verkerke and D. P . Kirkby, “The RooFit toolkit for data modeling”, inProc. Int. Conf. on Computing in High Energy and Nuclear Physics (CHEP03) , L. Lyons and M. Karagoz, eds., p. MOLT007. 2003. arXiv:physics/0306116
2003 arXiv
-
[116]
The RooStats project
L. Moneta et al., “The RooStats project”, in Proc. 13th Int. Workshop on Advanced Computing and Analysis T echniques in Physics Research, T. Speer et al., eds., volume ACAT2010, p. 057. 2010. arXiv:1009.1003. doi:10.22323/1.093.0057
2010 arXiv
-
[117]
Procedure for the LHC Higgs boson search combination in Summer 2011
ATLAS and CMS Collaborations, and LHC Higgs Combination Group, “Procedure for the LHC Higgs boson search combination in Summer 2011”, CMS Note CMS-NOTE-2011-005, ATL-PHYS-PUB-2011-11, 2011
2011
-
[118]
Confidence level computation for combining searches with small statistics
T. Junk, “Confidence level computation for combining searches with small statistics”, Nucl. Instrum. Meth. A 434 (1999) 435, doi:10.1016/S0168-9002(99)00498-2, arXiv:hep-ex/9902006
1999 arXiv
-
[119]
Presentation of search results: The CL s technique
A. L. Read, “Presentation of search results: The CL s technique”, J. Phys. G 28 (2002) 2693, doi:10.1088/0954-3899/28/10/313
2002 doi
-
[120]
Lectures on statistics in theory: Prelude to statistics in practice
R. D. Cousins, “Lectures on statistics in theory: Prelude to statistics in practice”, 2018. arXiv:1807.05996
2018 arXiv
-
[121]
Cover your bases: asymptotic distributions of the profile likelihood ratio when constraining effective field theories in high-energy physics
F. U. Bernlochner, D. C. Fry, S. B. Menary, and E. Persson, “Cover your bases: asymptotic distributions of the profile likelihood ratio when constraining effective field theories in high-energy physics”, SciPost Phys. Core 6 (2023) 013, doi:10.21468/SciPostPhysCore.6.1.013, ar...
2023 arXiv
-
[122]
The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
S. S. Wilks, “The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses”, The Ann. Math. Stat. 9 (1938) 60, doi:10.1214/aoms/1177732360. 42 43 A The CMS Collaboration Yerevan Physics Institute, Yerevan, Armenia V . Chekhovsky, A. Hayrapetyan, V . M...
1938
Reviewed August 12, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.