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Center for Astrophysics Research and Technologies Seminar Series Information


Events Calendar

Collision Course: Particle Physics meets Machine Learning

Friday April 30, 2021
3:30 pm

 Presenter:  Jesse Thaler. Associate Professor of PhysicsDirector, NSF AI Institute for Artificial Intelligence and Fundamental Interactions
 Series:  Physics and Astronomy Colloquium
 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 colloquium, I present two cases studies involving quantum chromodynamics (QCD) at the Large Hadron Collider (LHC), highlighting the fascinating interplay between theoretical principles and machine learning strategies. First, by cataloging the space of all possible QCD measurements, we (re)discovered technology relevant for self-driving cars. Second, by quantifying the similarity between two LHC collisions, we unlocked a class of non-parametric machine learning techniques based on optimal transport. In addition to providing new quantitative insights into QCD, these techniques enable new ways to visualize data from the LHC.
 Host:  Francis-Yan Cyr-Racine
 File/Video Recording:  https://youtu.be/Qpd43ik_pXM
 Location:  Via Zoom. Contact the department for password

Disability Notice Individuals with disabilities who need an auxiliary aid or service to attend or participate in P&A events should contact the Physics and Astronomy Department (phone: 505 277-2616, email: physics@unm.edu) well in advance to ensure your needs are accommodated. Event handouts can be provided in alternative accessible formats upon request. Please contact the Physics and Astronomy Department if you need written information in an alternative format.