2018
DOI: 10.1093/mnras/sty838
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The ASAS-SN catalogue of variable stars I: The Serendipitous Survey

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 ∼ 2 − 3 days down to V 17 mag. ASAS-SN has monitored the whole sky since 2014, collecting ∼ 100 − 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 s… Show more

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Cited by 357 publications
(317 citation statements)
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“…• The photometric light curves in the V-band were collected from the All-Sky Automated Survey for Supernovae (ASAS-SN, Shappee et al 2014;Kochanek et al 2017;Jayasinghe et al 2018).…”
Section: Datamentioning
confidence: 99%
“…• The photometric light curves in the V-band were collected from the All-Sky Automated Survey for Supernovae (ASAS-SN, Shappee et al 2014;Kochanek et al 2017;Jayasinghe et al 2018).…”
Section: Datamentioning
confidence: 99%
“…The sample of known CBs was recently significantly increased thanks to new data from several sky surveys that provide high-cadence, long-term, high-precision photometric observations in a range of passbands, including, e.g., the Catalina Sky Survey (CSS; Marsh et al 2017), the Wide-field Infrared Survey Explorer catalogue (WISE ; Chen et al 2018b), the All-Sky Automated Survey for Supernovae (ASAS-SN; Jayasinghe et al 2018), the Northern Sky Variability Survey (NSVS; Gettel et al 2006), and the Asteroid Terrestrial-impact Last Alert System (ATLAS; Heinze et al 2018). As sample sizes increased, researchers have taken advantage of the data from various surveys and constructed genuine CB samples for further statistical study (Rucinski 1995;Norton et al 2011;Marsh et al 2017).…”
Section: Introductionmentioning
confidence: 99%
“…In a series of papers, Jayasinghe et al (2018Jayasinghe et al ( , 2019b, we have been systematically identifying and classifying variables using data from The All-Sky Automated Survey for SuperNovae (ASAS-SN, Shappee et al 2014;Kochanek et al 2017). We have thus far discovered ∼220, 000 new variables and homogeneously classified both the new and previously known variables in the sample (Jayasinghe et al 2019a).…”
Section: Introductionmentioning
confidence: 99%