SMuK 2023 – scientific programme

Parts | Days | Selection | Search | Updates | Downloads | Help

T: Fachverband Teilchenphysik

T 35: Neutrino Astronomy II

T 35.4: Talk

Tuesday, March 21, 2023, 17:45–18:00, POT/0051

Novel approaches in multimessenger observation of core-collapse supernovae — •David Maksimović and Michael Wurm — Johannes Gutenberg University, Mainz, Germany

In the case of a nearby galactic core collapse supernovae (CCSN), large-scale neutrino observatories and gravitational wave interferometers are expected to provide a wealth of experimental data.

This contribution presents a novel machine learning approach in the field of multi-messenger astronomy by investigating possible correlation between features in gravitational waves (GW) and neutrino signals originating from such galactic CCSN. Overarching phenomena during the explosion process can be so better understood, such as the suspected standing accretion shock instability (SASI) or oscillation modes of the newly formed proto-neutron star. Applying machine learning on combined GW- and neutrino-detector outputs from simulated CCSN can enable us a potential reconstruction of these crucial moments and parameters such as the shock radius during the explosion.