Anomaly detection with SOFIE - Digging the tiniest signals at the LHC
por
Universe
YouTube:
→ Direct link
Zoom:
→ Direct link
Meeting ID: 629 9339 7552
Passcode: 518909
[ABSTRACT]
With the boom of machine learning, anomaly detection methods are gaining traction as a tool to test at the LHC the ample variety of new physics models proposed up to date, and those still not imagined. SOFIE is a novel concept in anomaly detection, joining the best features of supervised methods with the model independence of unsupervised ones, whose performance largely improves over purely unsupervised tools .
[SPEAKER]
Dr. Juan Antonio Aguilar Saavedra defended his PhD at Universidad de Granada in 2000. Postdoc at IST Lisboa from 2001 to 2006 and Ramón y Cajal at UGR from 2006 to 2010. Profesor Titular UGR 2010-2021. Dr. Aguilar currently works at IFT (CSIC) where he got his position as Científico Titular in 2021.