ODSL GenAI Days Workshop

Session

Applications

24 Sept 2024, 10:00

25. Integration of Augmented Reality and LLMs to Teach ALICE Detector

Atakan Coban (Ludwig Maximilian University - Physics Education Chair)

24/09/2024, 10:00

Teaching complex physics topics such as the quark-gluon plasma investigated by CERN's ALICE detector is extremely important in nurturing future scientists. In this project, we aim to enhance learning by integrating the ChatGPT language model into an Augmented Reality (AR) environment that comprehensively addresses the ALICE detector.

Within this scope, an AR application suitable for use...

26. Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics

Annalena Kofler

24/09/2024, 10:20

High-energy physics requires the generation of large numbers of simulated data
samples from complex but analytically tractable distributions called matrix elements. Surrogate models, such as normalizing flows, are gaining popularity for this task due to their computational efficiency. We adopt an approach based on Flow Annealed importance sampling Bootstrap (FAB) that evaluates the...

27. Maria simulator for CMB experiments (12'+3')

Tony Mroczkowski (ESO)

24/09/2024, 10:40

24. Controlling dynamics of stochastic systems with deep reinforcement learning (12'+3')

Ruslan Mukhamadiarov (LMU)

A properly designed controller helps to stabilize the system against environmental perturbations and improve the quality of experiment measurements. The task of tuning a controller to optimize its performance is the subject of optimal control theory and with development of deep reinforcement learning — a powerful new learning approach that employs artificial neural networks — the interest to...