VizieR Online Data Catalog: RR Lyrae candidates in VVV (Cabral+, 2020)
Abstract
In this work, we derive a method for the automatic classification of RRL stars. We begin by discussing the context of RRL as keystones for stellar evolution and pulsation astrophysics and their importance as rungs on the intra- and extragalactic distance scale ladder, as well as for galaxy formation models. We base our models on RRL that have previously been classified in the literature prior to Gaia DR2. We match VVV data to those stars, and extract features using the feets package affiliated to astropy, presented in Cabral et al. (2018, Astron. Comput., 25, 213). We explore the difficulty inherent in existing semi-automatic methods as found in the literature and set out to test some of these pitfalls to learn from them to build a more robust classifier of RRL for the VVV survey based on a newly crafted ML tool.
(1 data file).- Publication:
-
VizieR Online Data Catalog
- Pub Date:
- November 2020
- DOI:
- 10.26093/cds/vizier.36420058
- Bibcode:
- 2020yCat..36420058C
- Keywords:
-
- Stars: variable