Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 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
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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The categories of this paper are: stat
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The categories of this paper are: hep-ex
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The categories of this paper are: nlin
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The categories of this paper are: math-ph
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The categories of this paper are: eess
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The categories of this paper are: nucl-ex
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The categories of this paper are: supr-con
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The categories of this paper are: hep-lat
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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
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The categories of this paper are: funct-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-th
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The categories of this paper are: atom-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: patt-sol