arXiv · 2110.15135
Lund jet plane for Higgs tagging
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 $H\to b \bar{b}$ 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.
Explore related subjects
Keep this discovery
Charanjit K. Khosa. 2021-10-28. Lund jet plane for Higgs tagging. https://arxiv.org/abs/2110.15135
Cite the original work for its findings. Save a collection to share your selection of sources.