Afficher la notice abrégée

dc.creatorBachas K., Karkanias I., Kasimi E., Leonidis C., Petridou C., Sampsonidou D., Zachariadou K.en
dc.date.accessioned2023-01-31T07:34:59Z
dc.date.available2023-01-31T07:34:59Z
dc.date.issued2021
dc.identifier10.1088/1742-6596/2105/1/012011
dc.identifier.issn17426588
dc.identifier.urihttp://hdl.handle.net/11615/71030
dc.description.abstractIn this paper we study the use of Machine Learning techniques to set constraints on indirect signatures of physics beyond the Standard Model in Vector Boson Scattering (VBS), in the electroweak (EWK) production of self-interacting W±Z bosons in association with two jets.The WZ fully leptonic channel has been extensively studied by the ATLAS Collaboration at the LHC and we are about to provide results using the full Run 2 data corresponding to an integrated luminosity of 139fb−1. The EWK production of the WZ in association with two jets has been already observed at 36fb−1 with an observed significance of 5.3 standard deviations. A factor of four increase in the integrated luminosity provides an opportunity to check for deviations from the Standard Model (SM) predictions, in particular for model independent, indirect searches for New Physics. Such searches can be realized in the context of an extension of the SM in terms of an Effective Field Theory (EFT) formalism, providing a way to quantify possible deviations from the Standard Model. The EFT Lagrangian besides the Standard Model terms comprises contributions from higher dimension operators, their effect being determined by the strength of their corresponding parameters (Wilson coefficients scaled to the appropriate power of Λ, indicating the scale of the appearance of New Physics). In this paper an attempt is made to search for New Physics effects in the WZjj production, using state-of-the-art machine learning models where diverse network architectures are effectively combined into ensembles trained on the outcomes of base learners maximizing performance. The base learners are trained to identify pure WZjj signal events originating from the effect of EFT operators, from WZjj background events originating from strong (QCD) or EWK WZjj processes. We investigate the utilization of the ensemble model response in estimating the sensitivity of WZjj events in some of the dimension-8 EFT operators and compare the results to sensitive kinematic variables traditionally used to constrain the EFT operator effects. © 2021 Institute of Physics Publishing. All rights reserved.en
dc.language.isoenen
dc.sourceJournal of Physics: Conference Seriesen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85122003447&doi=10.1088%2f1742-6596%2f2105%2f1%2f012011&partnerID=40&md5=a44f28c29bfa103b15acde51b4469fa6
dc.subjectBosonsen
dc.subjectLuminanceen
dc.subjectMachine learningen
dc.subjectBase learnersen
dc.subjectBoson scatteringen
dc.subjectEffective field theoryen
dc.subjectIntegrated luminosityen
dc.subjectMachine learning approachesen
dc.subjectMachine learning techniquesen
dc.subjectNew physicsen
dc.subjectSet constraintsen
dc.subjectThe standard modelen
dc.subjectVector bosonen
dc.subjectNetwork architectureen
dc.subjectIOP Publishing Ltden
dc.titleA Machine Learning approach to the EFT re-interpretation of the WZjj fully leptonic electroweak productionen
dc.typeconferenceItemen


Fichier(s) constituant ce document

FichiersTailleFormatVue

Il n'y a pas de fichiers associés à ce document.

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée