Jet Substructure Classification in High-Energy Physics with Deep Neural Networks

At the extreme energies of the Large Hadron Collider, massive particles can be produced at such high velocities that their hadronic decays are collimated and the resulting jets overlap. Deducing whether the substructure of an observed jet is due to a low-mass single particle or due to multiple decay...

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Veröffentlicht in:	arXiv.org 2016-03
Hauptverfasser:	Baldi, Pierre, Bauer, Kevin, Eng, Clara, Sadowski, Peter, Whiteson, Daniel
Format:	Artikel
Sprache:	eng
Schlagworte:	Collimation Image classification Jets Large Hadron Collider Machine learning Neural networks Particle decay Physics - High Energy Physics - Experiment Physics - High Energy Physics - Phenomenology Substructures
Online-Zugang:	Volltext
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