Exploring the Variable Sky with LINEAR. I. Photometric Recalibration   with SDSS
  We describe photometric recalibration of data obtained by the asteroid survey LINEAR. Although LINEAR was designed for astrometric discovery of moving objects, the dataset described here contains over 5 billion photometric measurements for about 25 million objects, mostly stars. We use SDSS data from the overlapping ~10,000 deg^2 of sky to recalibrate LINEAR photometry, and achieve errors of 0.03 mag for sources not limited by photon statistics, with errors of 0.2 mag at r~18. With its 200 observations per object on average, LINEAR data provide time domain information for the brightest 4 magnitudes of SDSS survey. At the same time, LINEAR extends the deepest similar wide-area variability survey, the Northern Sky Variability Survey, by 3 mag. We briefly discuss the properties of about 7,000 visually confirmed periodic variables, dominated by roughly equal fractions of RR Lyrae stars and eclipsing binary stars, and analyze their distribution in optical and infra-red color-color diagrams. The LINEAR dataset is publicly available from the SkyDOT website (http://skydot.lanl.gov). 
Branimir Sesar, J. Scott Stuart, \v{Z}eljko Ivezi\'c, Dylan P. Morgan,   Andrew C. Becker, Przemys{\l}aw Wo\'zniak
astro-ph.GA astro-ph.SR