The faint, diffuse side of the Universe is largely unexplored, with numerous interesting low surface brightness (LSB) phenomena awaiting to be mapped and understood. With state-of-the-art instruments such as Euclid, Rubin and Roman, we are starting to access a wealth of unprecedentedly deep datasets that are ideally suited for LSB science in the next decade. To fully unlock the potential of the...
Gravitational waves (GWs) from binary neutron stars (BNSs) offer valuable understanding of the nature of compact objects and hadronic matter. However, the analyses accompanied require massive computational power due to the difficulties in Bayesian stochastic sampling. The third-generation (3G) GW detectors are expected to detect BNS signals with significantly extended signal duration, detection...
As the only large spiral galaxy in which we can study a significant fraction of the individual stars, the Milky Way offers astronomers a unique laboratory to study the processes that shape galaxies. As much of our fundamental understanding of astrophysics is anchored in the Milky Way, study of our Galaxy is critical to broad areas of astrophysics, including extragalactic astronomy. Ongoing surv...
Extracting information from stochastic fields is a ubiquitous task in science. However, from cosmology to biology, it tends to be done either through correlation analyses, which is often too limited to capture the full complexity, or through the use of neural nets, which require large training sets and lack interpretability. I will present a new approach that borrows ideas from both extremes ...
The field of asteroseismology has grown explosively in the past two decades. It has evolved from bespoke examination of individual variable stars, to now having become both our main means of constraining stellar properties at large scale, and our sole observational probe into the astrophysics of their interiors. I will lay out recent developments of its observational methods and discoveries, pa...