Automated classification of variable stars for ASAS data
| dc.creator | Eyer, L. | |
| dc.creator | Blake, C. | |
| dc.date | 2001-10-03 | |
| dc.date.accessioned | 2026-07-07T02:00:35Z | |
| dc.date.available | 2026-07-07T02:00:35Z | |
| dc.description | With the advent of surveys generating multi-epoch photometry and their discoveries of large numbers of variable stars, the classification of the obtained times series has to be automated. We have developed a classification algorithm for the periodic variable stars using a Bayesian classifier on a Fourier decomposition of the light curve. This algorithm is applied to ASAS (All Sky Automated Survey, Pojmanski 2000). In the case of ASAS, 85% of variable objects are red giants. A remarkable relation between their period and amplitude is found for a large fraction of those stars. | |
| dc.description | 2 pages, 1 figure, IAU Colloquium 185 "Radial and Nonradial Pulsations as Probes of Stellar physics", C.Aerts, T.Bedding and J.Christensen-Dalsgaard, eds | |
| dc.identifier | https://arxiv.org/abs/astro-ph/0110071 | |
| dc.identifier | http://arxiv.org/abs/astro-ph/0110071 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/3460 | |
| dc.subject | Astrophysics | |
| dc.title | Automated classification of variable stars for ASAS data | |
| dc.type | text |