Conveners
Astro & Cosmo
- Katia Matcheva
Galactic dynamics studies often face the challenge of incomplete kinematic information in stellar catalogs.
This incompleteness poses a significant challenge to a complete and model-independent measurement of local galactic dark matter densities using stellar dynamics.
This talk presents two innovative approaches that fuse physics principles with machine learning techniques, specifically...
The dynamics of stars in our galaxy encode crucial information about the Milky Way's dark matter halo. However, extinction from foreground dust can bias studies of stellar populations. By solving the equilibrium collisionless Boltzmann equation with novel machine learning techniques, we estimate the unbiased 6-dimensional phase space density of an equilibrated stellar population and the...
We introduce SkyCURTAINs, an adaptation of the CURTAINs method—a weakly supervised technique originally developed for anomaly detection in high-energy physics data—applied to data from the second Gaia Data Release (GDR2). SkyCURTAINs is employed to search for stellar streams, which appear as line-like overdensities against the background of the Milky Way. To validate the feasibility of this...
The major goal of Imaging Atmospheric Cherenkov Telescopes (IACTs) is the investigation of gamma-ray sources through the detection of their induced air showers. For every detected gamma ray, there are up to 10000 cosmic ray protons present forming the background, which also needs to be studied. For a detailed understanding of the instrument for deriving its response to both gamma rays and...
