The ASAS-SN Catalog of Variable Stars II: Uniform Classification of 412,000 Known Variables

By T. Jayasinghe, Krzysztof Zbigniew Stanek, C. Kochanek, B. Shappee, T. Holoien, T. Thompson, J. L. Prieto, S. Dong, M. Pawlak, O. Pejcha and 5 more. Monthly notices of the Royal Astronomical Society, 2018

165 citations recorded by the source corpus.

The variable stars in the VSX catalog are derived from a multitude of inhomogeneous data sources and classification tools. This inhomogeneity complicates our understanding of variable star types, statistics, and properties, and it directly affects attempts to build training sets for current (and next) generation all-sky, time-domain surveys. We homogeneously analyze the ASAS-SN V-band light curves of ${\sim}412,000$ variables from the VSX catalog. The variables are classified using an updated random forest classifier with an $F_1$ score of 99.4% and refinement criteria for individual classifications. We have derived periods for ${\sim}44,000$ variables in the VSX catalog that lack a period, and have reclassified ${\sim} 17,000$ sources into new broad variability groups with high confidence. We have also reclassified ${\sim} 94,000$ known variables with miscellaneous/generic classifications. The light curves, classifications, and a range of properties of the variables are all available through the ASAS-SN variable stars database (this https URL). We also include the V-band light curves for a set of ${\sim}4,000$ rare variables and transient sources, including cataclysmic variables, symbiotic binaries and flare stars.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/d61cdccb8a412c97d7e06d81c22eb101a67dfa1c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. Shu Wang
  2. Xiaodian Chen
  3. Richard de Grijs
  4. Licai Deng
  5. Ilya Mandel
  6. Selma de Mink

In Instrumentation

  1. Shu Wang
  2. Xiaodian Chen
  3. Richard de Grijs
  4. Licai Deng
  5. Selma de Mink
  6. Ilya Mandel

Citations in the corpus