Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks

Abstract Extracting longitudinal modes of weak bosons in LHC processes is essential to understand the electroweak-symmetry-breaking mechanism. To that end, we propose a general method, based on wide neural networks, to properly model longitudinal-boson signals and hence enable the event-by-event tag...

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Main Authors: Michele Grossi, Massimiliano Incudini, Mathieu Pellen, Giovanni Pelliccioli
Format: Article
Language:English
Published: SpringerOpen 2023-08-01
Series:European Physical Journal C: Particles and Fields
Online Access:https://doi.org/10.1140/epjc/s10052-023-11931-y
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author Michele Grossi
Massimiliano Incudini
Mathieu Pellen
Giovanni Pelliccioli
author_facet Michele Grossi
Massimiliano Incudini
Mathieu Pellen
Giovanni Pelliccioli
author_sort Michele Grossi
collection DOAJ
description Abstract Extracting longitudinal modes of weak bosons in LHC processes is essential to understand the electroweak-symmetry-breaking mechanism. To that end, we propose a general method, based on wide neural networks, to properly model longitudinal-boson signals and hence enable the event-by-event tagging of longitudinal bosons. It combines experimentally accessible kinematic information and genuine theoretical inputs provided by amplitudes in perturbation theory. As an application we consider the production of a Z boson in association with a jet at the LHC, both at leading order and in the presence of parton-shower effects. The devised neural networks are able to extract reliably the longitudinal contribution to the unpolarised process. The proposed method is very general and can be systematically extended to other processes and problems.
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spelling doaj.art-77b3ef6328414d0e9d9f76d2bfb769b72023-09-17T11:25:33ZengSpringerOpenEuropean Physical Journal C: Particles and Fields1434-60522023-08-0183811910.1140/epjc/s10052-023-11931-yAmplitude-assisted tagging of longitudinally polarised bosons using wide neural networksMichele Grossi0Massimiliano Incudini1Mathieu Pellen2Giovanni Pelliccioli3European Organisation for Nuclear Research (CERN)Department of Computer Science, University of VeronaPhysikalisches Institut, Universität FreiburgMax-Planck-Institut für PhysikAbstract Extracting longitudinal modes of weak bosons in LHC processes is essential to understand the electroweak-symmetry-breaking mechanism. To that end, we propose a general method, based on wide neural networks, to properly model longitudinal-boson signals and hence enable the event-by-event tagging of longitudinal bosons. It combines experimentally accessible kinematic information and genuine theoretical inputs provided by amplitudes in perturbation theory. As an application we consider the production of a Z boson in association with a jet at the LHC, both at leading order and in the presence of parton-shower effects. The devised neural networks are able to extract reliably the longitudinal contribution to the unpolarised process. The proposed method is very general and can be systematically extended to other processes and problems.https://doi.org/10.1140/epjc/s10052-023-11931-y
spellingShingle Michele Grossi
Massimiliano Incudini
Mathieu Pellen
Giovanni Pelliccioli
Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
European Physical Journal C: Particles and Fields
title Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
title_full Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
title_fullStr Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
title_full_unstemmed Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
title_short Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
title_sort amplitude assisted tagging of longitudinally polarised bosons using wide neural networks
url https://doi.org/10.1140/epjc/s10052-023-11931-y
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AT giovannipelliccioli amplitudeassistedtaggingoflongitudinallypolarisedbosonsusingwideneuralnetworks