Probing trilinear gauge boson interactions via single electroweak gauge boson production at the CERN LHC

Éboli, O. J. P.; Gonzalez-Garcia, M. C.

doi:10.1103/physrevd.70.074011

Cited by 7 publications

(6 citation statements)

References 38 publications

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“…bound of −0.0086 < ∆g Z 1 < 0.011. The limit on ∆κ Z is expected to be significantly looser, as are likely limits from single electroweak gauge boson production at LHC [58]. It therefore appears that LHC would be sensitive to KK resonances up to 790 GeV for a flat-space model and 960 GeV for an AdS 5 space model for κ = 1.…”

Section: Triple Gauge Verticesmentioning

confidence: 99%

Multigauge-boson vertices and chiral Lagrangian parameters in Higgsless models with ideal fermion delocalization

Chivukula

Simmons

et al. 2005

Phys. Rev. D

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Higgsless models with fermions whose SU (2) properties are "ideally delocalized," such that the fermion's probability distribution is appropriately related to the W boson wavefunction, have been shown to minimize deviations in precision electroweak parameters. As contributions to the S parameter vanish to leading order, current constraints on these models arise from limits on deviations in multi-gauge-boson vertices. We compute the form of the triple and quartic gauge boson vertices in these models and show that these constraints provide lower bounds only of order a few hundred GeV on the masses of the lightest KK resonances. Higgsless models with ideal fermion delocalization provide an example of extended electroweak gauge interactions with suppressed couplings of fermions to extra gauge-bosons, and these are the only models for which triple-gauge-vertex measurements provide meaningful constraints. We relate the multi-gauge couplings to parameters of the electroweak chiral Lagrangian, and the parameters obtained in these SU (2) × SU (2) models apply equally to the corresponding five dimensional gauge theory models of QCD. We also discuss the collider phenomenology of the KK resonances in models with ideal delocalization. These resonances are found to be fermiophobic, therefore traditional direct collider searches are not sensitive to them and measurements of gauge-boson scattering will be needed to find them.-1 -

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Section: Triple Gauge Verticesmentioning

confidence: 99%

Multigauge-boson vertices and chiral Lagrangian parameters in Higgsless models with ideal fermion delocalization

Chivukula

Simmons

et al. 2005

Phys. Rev. D

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“…with the generator B µ associated with the U(1) Y gauge group of the weak hypercharge Y . L T,8 introduces aQGCs of the neutral electroweak gauge bosons: Z Z Z Z, Z Z Zγ, Z Zγγ, Zγγγ and γγγγ [44]. The last three aQGCs enable additional Feynman diagrams at leading order, an example is displayed on the right in Fig.…”

Section: Unfolding P P → Zγγ Eventsmentioning

confidence: 99%

“…We use MadGraph5 [45] and Pythia8.3 [46] for the event generation and DELPHES [47] to simulate detector effects. The MC events to train the IcINN are obtained using the regular SM simulation, for the pseudo-data we add the EFT contribution described above using the Eboli package [44]. The Wilson coefficient C T,8 as well as the scale for new physics Λ are collectively set to…”

Section: Unfolding P P → Zγγ Eventsmentioning

confidence: 99%

An unfolding method based on conditional invertible neural networks (cINN) using iterative training

Backes,

Butter,

Dunford

et al. 2024

SciPost Phys. Core

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The unfolding of detector effects is crucial for the comparison of data to theory predictions. While traditional methods are limited to representing the data in a low number of dimensions, machine learning has enabled new unfolding techniques while retaining the full dimensionality. Generative networks like invertible neural networks~(INN) enable a probabilistic unfolding, which map individual data events to their corresponding unfolded probability distribution. The accuracy of such methods is however limited by how well simulated training samples model the actual data that is unfolded. We introduce the iterative conditional INN (IcINN) for unfolding that adjusts for deviations between simulated training samples and data. The IcINN unfolding is first validated on toy data and then applied to pseudo-data for the pp \to Z \gamma \gammapp→Zγγ process.

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“…As a test bed, we use KMAD to study the dimension-8 anomalous quartic gauge couplings (aQGCs) [75,76] at the muon colliders. The aQGCs also draw a lot of attention at the LHC because they are closely related to the NP w.r.t.…”

Section: Introductionmentioning

confidence: 99%

Tri-photon at muon collider: a new process to probe the anomalous quartic gauge couplings

Yang

Qing

Xue-Ying

et al. 2022

J. High Energ. Phys.

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The muon collider has recently received a great deal of attention because of its ability to achieve both high energy and high luminosity. It plays as a gauge boson collider because the vector boson scattering (VBS) becomes the dominant production topology for Standard Model processes starting from a few TeV of collision energy. In this paper, we propose that the process of μ+μ− annihilation into tri-photon is also very sensitive to the search of anomalous quartic gauge couplings (aQGCs). We investigate the projected constraints on the transverse operators contributing to aQGCs through μ+μ− → Z*/γ* → γγγ at muon colliders. For the muon collider with $$ \sqrt{s} $$ s = 3 TeV and $$ \mathcal{L} $$ L = 1 ab−1, the expected constraints are about two orders of magnitude stronger than those at the 13 TeV LHC.

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Probing trilinear gauge boson interactions via single electroweak gauge boson production at the CERN LHC

Cited by 7 publications

References 38 publications

Multigauge-boson vertices and chiral Lagrangian parameters in Higgsless models with ideal fermion delocalization

Multigauge-boson vertices and chiral Lagrangian parameters in Higgsless models with ideal fermion delocalization

An unfolding method based on conditional invertible neural networks (cINN) using iterative training

Tri-photon at muon collider: a new process to probe the anomalous quartic gauge couplings

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