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Open AccessJournal ArticleDOI

The ASAS-SN catalogue of variable stars I: The Serendipitous Survey

TLDR
The All Sky Automated Survey for Supernovae (ASASAS-SN) is the first optical survey to routinely monitor the whole sky with a cadence of 2-3 days down to V$\lesssim17$ mag as discussed by the authors.
Abstract
The All-Sky Automated Survey for Supernovae (ASAS-SN) is the first optical survey to routinely monitor the whole sky with a cadence of $\sim2-3$ days down to V$\lesssim17$ mag. ASAS-SN has monitored the whole sky since 2014, collecting $\sim100-500$ epochs of observations per field. The V-band light curves for candidate variables identified during the search for supernovae are classified using a random forest classifier and visually verified. We present a catalog of 66,179 bright, new variable stars discovered during our search for supernovae, including 27,479 periodic variables and 38,700 irregular variables. V-band light curves for the ASAS-SN variables are available through the ASAS-SN variable stars database (this https URL). The database will begin to include the light curves of known variable stars in the near future along with the results for a systematic, all-sky variability survey.

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Citations
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Journal ArticleDOI

A First Catalog of Variable Stars Measured by the Asteroid Terrestrial-impact Last Alert System (ATLAS)

TL;DR: In this paper, the authors present a catalog of variable stars based on analyzing 142 million stars measured at least 100 times in the first two years of ATLAS operations, using a Lomb-Scargle periodogram and other variability metrics, they identify 4.7 million candidate variables which they analyze in detail.
References
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Journal ArticleDOI

Astropy: A community Python package for astronomy

TL;DR: Astropy as discussed by the authors is a Python package for astronomy-related functionality, including support for domain-specific file formats such as flexible image transport system (FITS) files, Virtual Observatory (VO) tables, common ASCII table formats, unit and physical quantity conversions, physical constants specific to astronomy, celestial coordinate and time transformations, world coordinate system (WCS) support, generalized containers for representing gridded as well as tabular data, and a framework for cosmological transformations and conversions.
Journal ArticleDOI

Studies in astronomical time series analysis. II - Statistical aspects of spectral analysis of unevenly spaced data

TL;DR: This paper studies the reliability and efficiency of detection with the most commonly used technique, the periodogram, in the case where the observation times are unevenly spaced to retain the simple statistical behavior of the evenly spaced case.
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