Follow-up observations of galactic transients with astroinformatics
Date: Tuesday, 11 January 2022
Time: 7:00pm AEDT (8 am UTC)
Speaker: Makoto Uemura (Hiroshima University, Japan)
Contact the organizer: Andriy Olenko a.olenko@latrobe.edu.au
Abstract: Methods such as Bayesian inference and machine learning have recently become readily available, and are used not only on state-of-the-art data, but also in various aspects of astronomical research. Our group has a 1.5-m optical telescope in Hiroshima, Japan, which is used for time-domain astronomy. I will talk about the applications of astroinformatics tools for the follow-up observations of galactic transients. The topics include the discriminative model of transients, decision making based on the information theory, and reconstruction of the geometrical structure of the accretion disk.
