Lund jet plane for Higgs tagging
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 an...
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| Format: | Article |
| Language: | English |
| Published: |
SciPost
2022-08-01
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| Series: | SciPost Physics Proceedings |
| Online Access: | https://scipost.org/SciPostPhysProc.10.011 |
| Summary: | 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. |
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| ISSN: | 2666-4003 |