Mira-like variables from the KELT survey

DOI

We present a sample of 4132 Mira-like variables (red variables with long periods and high amplitudes) in the Kilodegree Extremely Little Telescope (KELT) survey. Of these, 376 are new Mira-like detections. We used Two Micron All Sky Survey (2MASS) colors to identify candidate asymptotic giant branch stars. We searched for photometric variability among the candidate asymptotic giant branch stars and identified stars that show periodic variability. We selected variables with high amplitudes and strong periodic behavior using a Random Forest classifier. Of the sample of 4132 Mira-like variables, we estimate that 70% are Miras and 30% are semiregular (SR) variables. We also adopt the method of using (W_RP_-W_Ks_) versus (J-Ks) colors in distinguishing between O-rich and C-rich Miras and find it to be an improvement over 2MASS colors.

Cone search capability for table J/ApJS/247/44/table2 (The Kilodegree Extremely Little Telescope (KELT) survey Mira-like catalog)

Identifier
DOI http://doi.org/10.26093/cds/vizier.22470044
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJS/247/44
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/247/44
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/247/44
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJS/247/44
Provenance
Creator Arnold R.A.; McSwain M.V.; Pepper J.; Whitelock P.A.; Hernitschek N.,James D.J.; Kuhn R.B.; Lund M.B.; Rodriguez J.E.; Siverd R.J.; Stassun K.G.
Publisher CDS
Publication Year 2020
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy