[Statlist] Research Seminar in Statistics | *FRIDAY 12 MAY 2023* | GSEM, University of Geneva

[gsem-support-instituts]

Dear all,

We are pleased to invite you to our next Research Seminar, organized by Professor Sebastian Engelke on behalf of the Research Center for Statistics. (https://www.unige.ch/gsem/en/research/institutes/rcs/team/)

FRIDAY 12 MAY 2023 at 11:15 am, Uni Mail M 3393 & Online
Zoom research webinar: https://unige.zoom.us/j/92924332087?pwd=U1U1NFk4dTFCRHBMeWYrSDBQcXBiQT09
Meeting ID: 929 2433 2087
Passcode: 399192

Automating and Accelerating Scientific Discovery in HEP with Generative Models
Tobias GOLLING, Particle Physics Department (DPNC), University of Geneva
https://www.unige.ch/dpnc/en/groups/tobias-golling/cv/

ABSTRACT:
This talk focuses on automating and accelerating scientific discovery in High Energy Physics (HEP) using generative models. With the vast amounts of data produced by modern experiments, it is challenging to identify rare events and extract meaningful information. The proposed framework leverages generative models to learn the underlying distribution of the data and generate synthetic samples, reducing computational costs and improving statistical power. This approach can potentially lead to the discovery of new physical phenomena beyond human intuition. Real-world datasets from the ATLAS experiment at CERN demonstrate the effectiveness of this approach in identifying rare signals, improving background estimation accuracy, and optimizing event classification. The talk discusses the challenges and limitations of the approach and outlines future research directions in automated scientific discovery.

> View the Research Seminar agenda: https://www.unige.ch/gsem/en/research/seminars/rcs/

Regards,


Marie-Madeleine

Marie-Madeleine Novo
Assistant to the Research Institutes
gsem-support-instituts at unige.ch