SciPost logo

Lund jet plane for Higgs tagging

Charanjit K. Khosa

SciPost Phys. Proc. 10, 011 (2022) · published 10 August 2022

Proceedings event

50th International Symposium on Multiparticle Dynamics


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 $H\to b \bar{b}$ and $H \to gg$ 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.

Cited by 2

Crossref Cited-by

Author / Affiliations: mappings to Contributors and Organizations

See all Organizations.
Funder for the research work leading to this publication