Speaker:
Manuel Sommerhalder
Institution:
Hamburg
Date:
Tuesday, October 24, 2023
Time:
10:00 am
Location:
Virtual
Abstract:
Resonant anomaly detection is an emerging class of unsupervised machine learning methods aiming to enhance the sensitivity of beyond-the-standard-model searches in high-energy physics. Contrary to conventional searches, where an explicit new physics signal model is targeted, this data-driven approach can cover a wide range of signals in a single analysis and with relatively minimal assumptions. I will provide an introduction to the concept and discuss a curated set of recent advances and challenges, as well as an ongoing real-world application.
Zoom Link: https://uci.zoom.us/j/95104791364
Host:
Daniel Whiteson