Particle Theory Seminar | Benjamin Nachman (LBNL) “Discovering Unanticipated New Physics with Machine Learning”
–
Abstract: Modern machine learning tools are allowing us to explore high energy physics data in new ways. These approaches may enable discoveries that were unthinkable with existing strategies. I introduce these new “anomaly detection” methods, which differ from typical approaches developed for non-scientific applications. While these methods are just starting to be applied to experimental data, there is an exciting … Read More