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BEGIN:VEVENT
DTSTART;TZID=Atlantic/Canary:20230309T103000
DTEND;TZID=Atlantic/Canary:20230309T113000
UID:iactalks-1661
X-WR-CALNAME: IAC Talks: Open Astronomy Seminars
X-ORIGINAL-URL: /iactalks/Talks/view/1661
CREATED:2023-03-09T10:30:00+00:00
X-WR-CALDESC: IAC Talks upcomming talks
SUMMARY:The Kepler Pixel Project and variable star classification with 'com
 puter vision'
DESCRIPTION:The Kepler Pixel Project and variable star classification with 
 'computer vision'\nDr. Robert Szabo\n\nKepler photometry was so precise th
 at new ways could be developed to harvest the great wealth of quasi-contin
 uous data that has never been accessible from the ground. We initiated a p
 roject that we dubbed The Kepler Pixel Project in order to explore approac
 hes and to discover new pulsating stars and other time-variable objects. D
 uring the project we examined individual pixels of the original Kepler mis
 sion to find interesting objects around the main Kepler targets. Specifica
 lly we launched a subproject to find background, faint RR Lyrae stars that
  are missing from the original Kepler sample. Altogether we found 26 new R
 R Lyrae stars, increasing the Kepler original RR Lyrae sample by 50%. In t
 his talk I'll present the latest results of this project. In addition to R
 R Lyrae stars I will also show results on ~1000 new eclipsing binaries fou
 nd in the framework of the same project.  Vera C. Rubin Observatory's Lega
 cy Survey of Space and Time (LSST) is one of the most important ground-bas
 ed astronomy projects of the coming decade. In the second half of this tal
 k I will present my research group's work on classification of variable st
 ars with machine learning methods which is part of the Hungarian in-kind L
 SST contribution. The novelty of our method is that we use images of light
  curves, such as a human classifier would do. The method gives surprisingl
 y good results based on the shape of light curves only, but can be further
  improved if additional astrophysical parameters (distance, amplitude, col
 ors, etc.) are taken into account.
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