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Using a Random Forest to Classify ASAS-SN Variable Stars

30 Jan 2020, 16:00 UTC
Using a Random Forest to Classify ASAS-SN Variable Stars
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Title: The ASAS-SN catalogue of variable stars I: The Serendipitous Survey Authors: T. Jayasinghe, C. S. Kochanek , K. Z. Stanek, B. J. Shappee, T. W. -S. Holoien, Todd A. Thompson, J. L. Prieto, Subo Dong, M. Pawlak, J. V. Shields, G. Pojmanski, S. Otero, C. A. Britt, D. Will First author’s institution: Ohio State University Journal: Published in MNRAS; open access on arxiv Since its creation in 2014, the All-Sky Automated Survey for Supernovae (ASAS-SN) has monitored the whole sky every 2-3 days down to ~17th magnitude. As this survey searches for supernovae, it often finds other variable stars too who are not exploding — yet their brightness, in general, varies with time! The authors of today’s paper attempt to classify ~90,000 variable star candidates found by ASAS-SN and present a catalog of 66,179 previously unknown variable stars.
What’s the Data?The data were taken with Brutus and Cassius (two of the six ASAS-SN units) between 2013-2017. Three 90 second images (later merged to increase the signal-to-noise ratio) were taken of each source in the sky in the V-band every 2-3 days. Data were processed using ISIS (an image subtraction software), photometry was performed using IRAF’s apphot package, and ...

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