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Deep & Heavy: Using machine learning for boosted resonance tagging and beyond

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If you have a question about this talk, please contact Andrew Papanastasiou.

Deep learning is a recent development in computer science, based on creating computational models that feature multiple layers and correspondingly increasingly higher levels of abstraction. We use the problem of distinguishing hadronic top quark decays from light quark and gluon jets (top tagging) as a starting point for a tour of deep learning techniques in particle physics and their prospects for the future.

This talk is part of the Cavendish HEP Seminars series.

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