"Star cluster formation and feedback: a close view from the local universe"

Abstract: In spite of the huge observational and numerical progresses made, young star clusters remain, de facto, a challenge to study. Potentially they are considered key tracers of star formation conditions, as well as units of stellar feedback within their host galaxies.  They sit at the intermediate scales of the star formation cycle of galaxies and can therefore unlock the intricate regulator interplay between star formation and feedback that drives to galaxy...

" A new window on star formation history at the Galactic Center"

As the closest galactic nucleus, Milky Way's Nuclear Star Cluster (NSC) provides a unique opportunity to resolve the stellar population and to study its composition and star formation in this extreme environment. The limitation in our current understanding of the NSC star formation history is that previous...

" Probing the standard cosmological model with the population of binary black-holes"

Gravitational-wave (GW) detections are rapidly increasing in number, enabling precise statistical analyses of the population of compact binaries. In this talk I will show how these population analyses cannot only serve to constrain the astrophysical formation channels, but also to learn...

Astronomical surveys are already producing very large datasets, and machine learning will play a crucial role in enabling us to fully utilize all of the available data. Machine lerning models are often initially trained on simulated data and then applyed to observations, which can potentially lead to a substantial decrease in model accuracy on the new target dataset. Simulated and telescope data represent different data domains, and for a machine learning model to work in both...