Variable Point Sources in Sloan Digital Sky Survey Stripe 82. I. Project Description and Initial Catalog (0 h < R.A. < 4 h)
Waqas A. Bhatti, Michael W. Richmond, Holland C. Ford, Larry D. Petro

TL;DR
This study analyzes nearly a decade of SDSS Stripe 82 data to identify and classify variable point sources, including stars and quasars, using advanced photometry and variability detection techniques.
Contribution
It presents the first large-scale catalog of variable point sources in SDSS Stripe 82, with improved sensitivity and classification methods for diverse variable objects.
Findings
Identified 6520 variable candidates out of 221,842 sources.
Detected 30 eclipsing/ellipsoidal binaries, 55 RR Lyrae, and 16 Delta Scuti variables.
Matched 2704 quasars and identified 2403 quasar candidates based on variability.
Abstract
We report the first results of a study of variable point sources identified using multi-color time-series photometry from Sloan Digital Sky Survey (SDSS) Stripe 82 over a span of nearly 10 years (1998-2007). We construct a light-curve catalog of 221,842 point sources in the R.A. 0-4 h half of Stripe 82, limited to r = 22.0, that have at least 10 detections in the ugriz bands and color errors of < 0.2 mag. These objects are then classified by color and by cross-matching them to existing SDSS catalogs of interesting objects. We use inhomogeneous ensemble differential photometry techniques to greatly improve our sensitivity to variability. Robust variable identification methods are used to extract 6520 variable candidates in this dataset, resulting in an overall variable fraction of ~2.9% at the level of 0.05 mag variability. A search for periodic variables results in the identification of…
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