Exploring the Variable Sky with LINEAR. I. Photometric Recalibration with SDSS

TL;DR

This paper details the photometric recalibration of the LINEAR asteroid survey data using SDSS, significantly improving photometric accuracy and extending the survey's utility for time domain astronomy and variable star analysis.

Contribution

It introduces a recalibration method for LINEAR data using SDSS, enhancing photometric precision and expanding its application to variable star studies.

Findings

Achieved 0.03 mag photometric errors for bright sources

Extended the variability survey depth by 3 magnitudes

Identified and characterized ~7,000 periodic variables

Abstract

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).