Speaker
Dr
Sven Krippendorf
(Ludwig Maximilian University of Munich)
Description
In this talk, I will review how ultralight axion-like particles can be constrained using X-ray observations of bright localized sources (AGNs, Quasars) in and behind galaxy clusters. To find axion-like particles in these settings corresponds to finding their characteristic pattern (quasi-sinusoidal oscillations) in noisy data. Using ML-techniques we are able to improve the search sensitivity for these particles and are able to set stronger bounds compared to previous methods. In the second part of the talk, I shall highlight avenues where ML can be used to accelerate our understanding of fundamental physics (string theory) and potentially vice versa.
