Speaker
Attila Bódi
(Konkoly Thege Miklós Astronomical Institute, Research Centre for Astronomy and Earth Sciences)
Description
Among the astronomical community it is well-known that different types of variable stars can be recognised based on their light curve properties. However, with the advent of large astronomical sky surveys, the amount of measurements increases dramatically, reaching the limits of the human capabilities of stellar classification. During my talk I will give a brief introduction to variable star science and give a short summary on previous efforts made to categorise light curves. After that I will present our recent results on image-based deep learning stellar classification and will discuss the possible applications in the era of big data which will produced by future surveys like the Large Synoptic Survey Telescope (LSST).
Primary author
Attila Bódi
(Konkoly Thege Miklós Astronomical Institute, Research Centre for Astronomy and Earth Sciences)
