Conveners
Past and future multiwavelength all-sky surveys: V
- Cristobal Bordiu (Istituto Nazionale di Astrofisica (INAF))
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of transients to neural network emulators of cosmological simulations, and is shifting paradigms about how we generate and report scientific results. At the same time, this class of method comes with its own set of...
The diffuse tidal stellar features that surround galaxies bring a testimony on past galaxy collisions. Because of their low surface brightness and the presence of multiple image contaminants, they are particularly difficult to isolate with classical IA techniques. We present new deep learning techniques to finely characterise the morphology of galaxies from large datasets of deep optical...
Low surface brightness substructures around galaxies are a valuable tool in the detection of past or ongoing galaxy mergers. The properties of these substructures, along with the properties of their host galaxy, can tell us about a galaxy’s past interactions and the evolution of galaxy populations. In order to draw accurate and statistically robust conclusions about this evolution process, we...
