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. See zoom meeting details below. This seminar is a part of a new international online seminars series on Statistics and Data Scien
Seminar Notice Board