Computer Science – Databases
Scientific paper
Jan 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21934819v&link_type=abstract
American Astronomical Society, AAS Meeting #219, #348.19
Computer Science
Databases
Scientific paper
We announce a public database of over 5 billion photometric measurements for about 25 million objects, mostly stars with V<18, obtained by the asteroid survey LINEAR (available through the SkyDot website, skydot.lanl.gov). With 200 observations per object on average, LINEAR data provide time domain information for the brightest 4 magnitudes of SDSS survey objects. By combining information from these databases we have selected and visually classified some 200,000 candidate variable stars. Guided by these classifications, we selected the largest available sample of candidate field SX Phe stars (blue straggler halo stars) and demonstrated its low contamination through follow up observations at a number of telescopes in Croatia and the U.S. We have also constructed samples of several thousand distant RR Lyrae stars, as well as several thousand eclipsing binary stars, and are currently investigating the statistical properties of these data.
Becker Andrew C.
Bozic Hrvoje
Carroll Philip
Champey P.
Draper Zack
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