Seminari di Fenomenologia delle Particelle Elementari

Neyman-Pearson inspired machine learning models for new physics searches

Name: Neyman-Pearson inspired machine learning models for new physics searches
Start: 2021-03-24T11:00:00+01:00
End: 2021-03-24T12:00:00+01:00
Location: online

by Dr Marco Letizia (Universita' di Genova, DIBRIS)

Wednesday 24 Mar 2021, 11:00 → 12:00 Europe/Rome

online

Description

In this seminar I will present some recent ideas in machine learning for model independent anomaly detection in high energy physics data. In particular I will discuss models at the interception of machine learning and hypothesis testing, specifically leveraging the Neyman-Pearson lemma. I will conclude showing some preliminary experimental results on toy and simulated data.

Per partecipare: gruppo Teams Università di Genova numero 1npbr0h (se si possiede un account Teams Unige, si può accedere con il codice. Se invece si possiede solo un account Teams INFN, scrivere a simone.marzani@ge.infn.it per essere aggiunti come ospiti).