Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC

Abstract

Inverse seesaw is a genuine TeV scale seesaw mechanism. In it active neutrinos with masses at eV scale requires lepton number be explicitly violated at keV scale and the existence of new physics, in the form of heavy neutrinos, at TeV scale. Therefore it is a phenomenologically viable seesaw mechanism since its signature may be probed at the LHC. Moreover it is successfully embedded into gauge extensions of the standard model as the 3-3-1 model with the right-handed neutrinos. In this work we revisit the implementation of this mechanism into the 3-3-1 model and employ deep learning analysis to probe such setting at the LHC and, as main result, we have that if its signature is not detected in the next LHC running with energy of 14 TeVs, then, the vector boson $Z^{\prime }$ of the 3-3-1 model must be heavier than 4 TeVs.

References in corpus (28)

• SMOTE: Synthetic Minority Over-sampling Technique
• TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
• A Brief Introduction to PYTHIA 8.1
• Asymptotic formulae for likelihood-based tests of new physics
• DELPHES 3, A modular framework for fast simulation of a generic collider experiment
• FeynRules 2.0 - A complete toolbox for tree-level phenomenology
• UFO - The Universal FeynRules Output
• Neutrino Masses and Leptogenesis with Heavy Higgs Triplets
• Right-Handed Neutrinos at LHC and the Mechanism of Neutrino Mass Generation
• Combined Analysis of all Three Phases of Solar Neutrino Data from the Sudbury Neutrino Observatory
• Search for high-mass dilepton resonances using 139 fb${}^{-1}$ of $pp$ collision data collected at $\sqrt{s}=$13 TeV with the ATLAS detector
• $\mbox{SU}(3)_L \otimes \mbox{U}(1)_N$ and $\mbox{SU}(4)_L \otimes \mbox{U}(1)_N$ gauge models with right-handed neutrinos
• Neutral Currents and GIM Mechanism in SU(3)_L X U(1)_N Models for Electroweak Interactions
• Non-Standard Neutrino Interactions with Matter from Physics Beyond the Standard Model
• General formulae for f1 --> f2 gamma
• Naturally Small Seesaw Neutrino Mass with No New Physics Beyond the TeV Scale
• Inverse Seesaw Neutrino Signatures at LHC and ILC
• Heavy Neutrinos and Lepton Flavour Violation in Left-Right Symmetric Models at the LHC
• Search for high-mass resonances in dilepton final states in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• Lepton Flavour Violating Decays tau to lll and mu to e gamma in the Higgs Triplet Model
• A Simple Realization of the Inverse Seesaw Mechanism
• LHC Phenomenology of Type II Seesaw: Nondegenerate Case
• Exploring SMEFT in VH with Machine Learning
• Looking for Minimal Inverse Seesaw scenarios at the LHC with Jet Substructure Techniques
• How the Inverse See-Saw Mechanism Can Reveal Itself Natural, Canonical and Independent of the Right-Handed Neutrino Mass
• Triple seesaw mechanism
• Inverse type II seesaw mechanism and its signature at the LHC and ILC

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