Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Exploring the Variable Sky with LINEAR. III. Classification of Periodic Light Curves (CROSBI ID 206790)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Palaversa, Lovro ; Ivezić, Željko ; Eyer, Laurent ; Ruždjak, Domagoj ; Sudar, Davor ; Galin, Mario ; Kroflin, Andrea ; Mesarić, Martina ; Munk, Petra ; Vrbanec, Dijana et al. Exploring the Variable Sky with LINEAR. III. Classification of Periodic Light Curves // The Astronomical journal (New York, N.Y.), 146 (2013), 4; 101-131. doi: 10.1088/0004-6256/146/4/101

Podaci o odgovornosti

Palaversa, Lovro ; Ivezić, Željko ; Eyer, Laurent ; Ruždjak, Domagoj ; Sudar, Davor ; Galin, Mario ; Kroflin, Andrea ; Mesarić, Martina ; Munk, Petra ; Vrbanec, Dijana ; Božić, Hrvoje ; Loebman, Sarah ; Sesar, Branimir ; Rimoldini, Lorenzo ; Hunt-Walker, Nicholas ; VanderPlas, Jacob ; Westman, David ; Stuart, Scott J. ; Becker, Andrew C. ; Srdoč, Gregor ; Wozniak, Przemyslaw ; Oluseyi, Hakeem

engleski

Exploring the Variable Sky with LINEAR. III. Classification of Periodic Light Curves

We describe the construction of a highly reliable sample of ~7000 optically faint periodic variable stars with light curves obtained by the asteroid survey LINEAR across 10, 000 deg2 of the northern sky. The majority of these variables have not been cataloged yet. The sample flux limit is several magnitudes fainter than most other wide-angle surveys ; the photometric errors range from ~0.03 mag at r = 15 to ~0.20 mag at r = 18. Light curves include on average 250 data points, collected over about a decade. Using Sloan Digital Sky Survey (SDSS) based photometric recalibration of the LINEAR data for about 25 million objects, we selected ~200, 000 most probable candidate variables with r < 17 and visually confirmed and classified ~7000 periodic variables using phased light curves. The reliability and uniformity of visual classification across eight human classifiers was calibrated and tested using a catalog of variable stars from the SDSS Stripe 82 region and verified using an unsupervised machine learning approach. The resulting sample of periodic LINEAR variables is dominated by 3900 RR Lyrae stars and 2700 eclipsing binary stars of all subtypes and includes small fractions of relatively rare populations such as asymptotic giant branch stars and SX Phoenicis stars. We discuss the distribution of these mostly uncataloged variables in various diagrams constructed with optical-to-infrared SDSS, Two Micron All Sky Survey, and Wide-field Infrared Survey Explorer photometry, and with LINEAR light-curve features. We find that the combination of light-curve features and colors enables classification schemes much more powerful than when colors or light curves are each used separately. An interesting side result is a robust and precise quantitative description of a strong correlation between the light-curve period and color/spectral type for close and contact eclipsing binary stars (β Lyrae and W UMa): as the color-based spectral type varies from K4 to F5, the median period increases from 5.9 hr to 8.8 hr. These large samples of robustly classified variable stars will enable detailed statistical studies of the Galactic structure and physics of binary and other stars and we make these samples publicly available.

binaries: eclipsing; blue stragglers; catalogs; Galaxy: halo; stars: statistics; stars: variables: general

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

146 (4)

2013.

101-131

objavljeno

0004-6256

10.1088/0004-6256/146/4/101

Povezanost rada

Fizika

Poveznice
Indeksiranost