ODSL Forum: Improving HEP Simulation and Analyses with Invertible Neural Networks

by Dr Claudius Krause (Universität Heidelberg)

Friday 4 Aug 2023, 14:00 → 15:00 Europe/Berlin

Basement Seminar Room (Origins Cluster Building)

We are delighted to have Dr. Claudius Krause (U Heidelberg) as our next ODSL seminar speaker presenting to us his research on ML for simulation and data analysis in high energy physics (HEP)!

We invite you to attend his talk on Friday, August 4th at 2 pm.  (Important: Note the new time. Since the semester is over, we will switch back to 2 pm from now on!)

Claudius will come to Munich for his talk and give it in the Origins basement seminar room. As usual, we will set up a live-stream via Zoom for anyone that cannot attend in person.

Title: Improving HEP Simulation and Analyses with Invertible Neural Networks
Abstract: LHC run 3 just started and in the years leading up to 2040, we will see a 20-fold increase in available data. This forthcoming dataset will have enormous potential for a deeper understanding of the Standard Model and possible physics beyond it. In my talk, I will highlight how advancements in modern Machine Learning can help speed up crucial bottlenecks and open new avenues for model-agnostic searches of physics beyond the Standard Model. In particular, I will focus on Normalizing Flows (also known as invertible neural networks), which provide a versatile class of Machine Learning models that have seen many applications to high-energy physics. I will discuss how Normalizing Flows can be used to improve the unweighting efficiency in Monte Carlo event generation, speed up detector simulation, and how they can boost bump hunt searches for new physics.

Where?
Cluster Basement Seminar Room
Boltzmannstr. 2
85748 Garching

Zoom Link was sent via email and is available on request.

ODSL_C_Krause.pdf