Computer Science – Databases
Scientific paper
Jan 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21934809c&link_type=abstract
American Astronomical Society, AAS Meeting #219, #348.09
Computer Science
Databases
Scientific paper
We present the first part of a comprehensive program to look for variability in the UV GALEX archive (Conti et al. 2011, ApSS, 335,:329); GALEX provided photometric measurements for over 200 million objects in FUV and NUV, from sky surveys with different depth and coverage (Bianchi 2009, ApSS, 320:11, Bianchi et al. 2011, MNRAS, 411:2770, Bianchi 2011 ApSS 335:51). In this work, out of 410,408 unique sources showing conspicuous variability in both NUV and FUV from a total of 2,106,816 measurements, we restrict our analysis to 7264 sources that have at least 30 measurements, sampled with serendipitous time coverage. This first sample selection includes both extragalactic sources and Milky Way stellar objects, displaying both periodic and non-periodic variability, of various types including RR Lyrae, flare stars, transients, and eclipsing binaries. Amplitudes of magnitude variations are found from our minimum selection threshold up to > 0.6 AB mag. We describe the selection criteria and procedures, we characterize the main classes of variables within the sample, and present the layout of the resulting catalog which will be also available as on-line resource.
Beyond our immediate goals of discovering and characterizing UV-selected variables, this work
provides synergy with existing and planned surveys at other wavelengths (e.g. SDSS, PanSTARRS, LSST, GAIA) and the methods will be applicable to larger databases.
Acknowledgements: This work was part of NC 2011 summer internship at STScI; LB was partly supported by the GALEX project.
Bianchi Luciana
Chopra Nitish
Conti Alberto
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