Collider Physics and Machine Learning

Abstract: Modern machine learning has had an outsized impact on many scientific fields, and particle physics is no exception. What is special about particle physics, though, is the vast amount of theoretical and experimental knowledge that we already have about many problems in the field. In this talk, I draw on examples from collider phenomenology and quantum chromodynamics to highlight the fascinating interplay between theoretical principles and machine learning strategies.

Physics

Audience: researchers in the topic

XXVI IFT Christmas Workshop