Gaia and Variable Stars
A. Udalski, I. Soszy\'nski, D.M. Skowron, J. Skowron, P. Pietrukowicz,, P. Mr\'oz, R. Poleski, M.K. Szyma\'nski, S. Koz{\l}owski, {\L}. Wyrzykowski,, K. Ulaczyk, M. Pawlak
TL;DR
This study evaluates Gaia DR1's accuracy and completeness in detecting Cepheid and RR Lyrae variable stars by comparing it with the OGLE dataset, highlighting its reliable classification but moderate completeness.
Contribution
It provides a detailed assessment of Gaia DR1's performance in identifying stellar variability, specifically for Cepheids and RR Lyrae stars, using OGLE data as a benchmark.
Findings
High classification accuracy of Gaia DR1 for variable stars
Completeness of Gaia DR1 is 60-75% compared to OGLE
Gaia data pipeline shows reliable performance in stellar variability detection
Abstract
We present a comparison of the Gaia DR1 samples of pulsating variable stars - Cepheids and RR Lyrae type - with the OGLE Collection of Variable Stars aiming at the characterization of the Gaia mission performance in the stellar variability domain. Out of 575 Cepheids and 2322 RR Lyrae candidates from the Gaia DR1 samples located in the OGLE footprint in the sky, 559 Cepheids and 2302 RR Lyrae stars are genuine pulsators of these types. The number of misclassified stars is low indicating reliable performance of the Gaia data pipeline. The completeness of the Gaia DR1 samples of Cepheids and RR Lyrae stars is at the level of 60-75% as compared to the OGLE Collection dataset. This level of completeness is moderate and may limit the applicability of the Gaia data in many projects.
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Astronomical Observations and Instrumentation