9-13 July 2018
Sofia, Bulgaria
Europe/Sofia timezone

Physics Inspired Heavy Object Tagging

11 Jul 2018, 12:45
Hall 9 (National Palace of Culture)

Hall 9

National Palace of Culture

presentation Track 6 – Machine learning and physics analysis T6 - Machine learning and physics analysis


Michael Russell (Heidelberg University)


We show how a novel network architecture based on Lorentz Invariance (and not much else) can be used to identify hadronically decaying top quarks. We compare its performance to alternative approaches, including convolutional neural networks, and find it to be very competitive.
We also demonstrate how this architecture can be extended to include tracking information and show its application to a multi-class identification problem in Higgs physics.

Primary authors

Gregor Kasieczka (Hamburg University (DE)) Tilman Plehn Michael Russell (Heidelberg University)

Presentation materials