Exploring the Variable Sky with Linear. 1. Photometric Recalibration with the Sloan Digital Sky Survey

Abstract

We describe photometric recalibration of data obtained by the asteroid survey LINEAR. Although LINEAR was designed for astrometric discovery of moving objects, the data set described here contains over 5 billion photometric measurements for about 25 million objects, mostly stars. We use Sloan Digital Sky Survey (SDSS) data from the overlapping approx. 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 approx. 18. With its 200 observations per object on average, LINEAR data provide time domain information for the brightest four magnitudes of the 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 7000 visually confirmed periodic variables, dominated by roughly equal fractions of RR Lyrae stars and eclipsing binary stars, and analyze their distribution in optical and infrared color-color diagrams. The LINEAR data set is publicly available from the SkyDOT Web site.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2011
Accession Number
ADA554902

Entities

People

  • Andrew C. Becker
  • Branimir Sesar
  • Dylan P. Morgan
  • J. S. Stuart
  • Przemyslaw Wozniak
  • Zeljko Ivezic

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Asteroids
  • Binary Stars
  • Data Sets
  • Detection
  • Jet Propulsion
  • Linear Programming
  • Mathematics
  • Observation
  • Photometry
  • Quantum Efficiency
  • R-Banding
  • Standards
  • Statistics
  • Surveys
  • Variable Stars

Fields of Study

  • Physics

Readers

  • Astronomy/Astrophysics
  • Computational Modeling and Simulation