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arXiv:1906.11265·v3·High Energy Physics — Phenomenology

CapsNets Continuing the Convolutional Quest

Sascha Diefenbacher🇩🇪 · Hermann Frost🇩🇪 · Gregor Kasieczka🇩🇪 · Tilman Plehn🇩🇪 · Jennifer M. Thompson🇩🇪

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Abstract

Capsule networks are ideal tools to combine event-level and subjet information at the LHC. After benchmarking our capsule network against standard convolutional networks, we show how multi-class capsules extract a resonance decaying to top quarks from both, QCD di-jet and the top continuum backgrounds. We then show how its results can be easily interpreted. Finally, we use associated top-Higgs production to demonstrate that capsule networks can work on overlaying images to go beyond calorimeter information.

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