Follow-up observations of galactic transients with astroinformatics

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.

other computer sciencespace physics and aeronomydata analysis, statistics and probability

Audience: researchers in the topic

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IAU-IAA Astrostats & Astroinfo seminar(archived version by January 2023)

Series comments: This is an archived version of the seminar with information about talks by January 2023.

Use the following link for the new version: sites.google.com/view/iau-iaaseminar-new

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Joint IAU-IAA Astrostats & Astroinfo seminar series focuses on statistical and computational methodological challenges arising in the various fields of astronomy. It discusses existing and new advanced approaches in statistical analysis and data mining of astronomical data.

In the 21st century, increasing resources are devoted to wide-field astronomical surveys, multi-dimensional data, and high-throughput instruments that produce peta-scale datasets and giga-scale samples. In addition to the growing tasks of data storage and management, new statistical tools have been developed or specified for astronomical problems. Astronomical insights require characterizing structure in images, spectra or time series by using non-linear, often high-dimensional models.

This international online seminar series is an initiative of the International Astrostatistics Association and the IAU Astroinformatics and Astrostatistics Commission.

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