Lund jet plane for Higgs tagging

2021/10/28 by Charanjit K. Khosa, Khosa, Charanjit K.
Computer Science · Medicine · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Medical Imaging Techniques and Applications #Particle physics theoretical and experimental studies

paper · pdf · doi:10.48550/arxiv.2110.15135

openalex publication_date 2021/10/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We study the boosted Higgs tagging using the Lund jet plane. The convolutional neural network is used for the Lund images data set to classify hadronically decaying Higgs from the QCD background. We consider H→ b b and H → gg decay for moderate and high Higgs transverse momentum and compare the performance with the cut based approach using the jet color ring observable. The approach using Lund plane images provides good tagging efficiency for all the cases.

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