Polarization fraction measurement in ZZ scattering using deep learning

Abstract

Measuring longitudinally polarized vector boson scattering in the ZZ channel is a promising way to investigate unitarity restoration with the Higgs mechanism and to search for possible new physics. We investigated several deep neural network structures and compared their ability to improve the measurement of the longitudinal fraction Z_L Z_L. Using fast simulation with the Delphes framework, a clear improvement is found using a previously investigated 'particle-based' deep neural network on a preprocessed dataset and applying principle component analysis to the outputs.A significance of around 1.7 standard deviations can be achieved with the integrated luminosity of 3000 fb-1 that will be recorded at the High-Luminosity LHC.

arXiv comment7 pages

References in corpus (16)

• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
• Asymptotic formulae for likelihood-based tests of new physics
• DELPHES 3, A modular framework for fast simulation of a generic collider experiment
• TMVA - Toolkit for Multivariate Data Analysis
• Boosted Decision Trees as an Alternative to Artificial Neural Networks for Particle Identification
• Constraining Effective Field Theories with Machine Learning
• Observation of electroweak production of same-sign W boson pairs in the two jet and two same-sign lepton final state in proton-proton collisions at $\sqrt{s}=$ 13 TeV
• A Guide to Constraining Effective Field Theories with Machine Learning
• Measurement of vector boson scattering and constraints on anomalous quartic couplings from events with four leptons and two jets in proton-proton collisions at sqrt(s) = 13 TeV
• Observation of electroweak production of a same-sign $W$ boson pair in association with two jets in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• Measurement of electroweak WZ boson production and search for new physics in WZ $+$ two jets events in pp collisions at $\sqrt{s}=$ 13 TeV
• Measurement of the cross section for electroweak production of Z gamma in association with two jets and constraints on anomalous quartic gauge couplings in proton-proton collisions at sqrt(s) = 8 TeV
• Determination of the $WW$ polarization fractions in $pp\to W^{\pm }{W}^{\pm }jj$ using a deep machine learning technique
• WW Scattering in the Era of Post Higgs Discovery
• Polarization fraction measurement in same-sign WW scattering using deep learning
• Probing New Physics by the Tail of the Off-shell Higgs in $V_L{V}_L$ Mode

Cited by in corpus (12)

• Vector Boson Scattering Processes: Status and Prospects
• NNLO QCD study of polarised $W^{+}{W}^{-}$ production at the LHC
• Measuring the anomalous quartic gauge couplings in the $W^{+}{W}^{-}\to W^{+}{W}^{-}$ process at muon collider using artificial neural networks
• Comparing Traditional and Deep-Learning Techniques of Kinematic Reconstruction for polarisation Discrimination in Vector Boson Scattering
• Probing $Zt\bar{t}$ couplings using $Z$ boson polarization in $ZZ$ production at hadron colliders
• NLO QCD corrections to polarised di-boson production in semi-leptonic final states
• Extract the energy scale of anomalous $\gamma \gamma \to W^{+}{W}^{-}$ scattering in the vector boson scattering process using artificial neural networks
• MLAnalysis: An open-source program for high energy physics analyses
• Amplitude-assisted tagging of longitudinally polarised bosons using wide neural networks
• Polarization measurement for the dileptonic channel of $W^{+}{W}^{-}$ scattering using generative adversarial network
• Longitudinally polarized ZZ scattering at the Muon Collider
• Detecting anomaly in vector boson scattering