Identifying RR Lyrae Variable Stars in Six Years of the Dark Energy Survey
K. M. Stringer, A. Drlica-Wagner, L. Macri, C. E., Mart\'inez-V\'azquez, A. K. Vivas, P. Ferguson, A. B. Pace, A. R. Walker, E., Neilsen, K. Tavangar, W. Wester, T. M. C. Abbott, M. Aguena, S. Allam, D., Bacon, K. Bechtol, E. Bertin, D. Brooks, D. L. Burke, A. Carnero Rosell, M.

TL;DR
This study utilizes six years of Dark Energy Survey data to identify nearly 7,000 RR Lyrae stars, analyze the Milky Way's stellar halo, and search for faint satellite galaxies, demonstrating improved detection sensitivity for large, diffuse dwarf galaxies.
Contribution
The paper introduces a multi-stage classification method for RR Lyrae detection and provides the first detailed halo density profile with a broken power-law model from DES data.
Findings
Detected 6,971 RR Lyrae candidates out to 335 kpc.
Identified a halo density break at 32.1 kpc with distinct inner and outer slopes.
Found three candidate substructures, including known dwarf galaxies and potential new satellites.
Abstract
We present a search for RR Lyrae stars using the full six-year data set from the Dark Energy Survey (DES) covering ~5,000 sq. deg. of the southern sky. Using a multi-stage multi-variate classification and light curve template-fitting scheme, we identify RR Lyrae candidates with a median of 35 observations per candidate. We detect 6,971 RR Lyrae candidates out to ~335 kpc, and we estimate that our sample is >70% complete at ~150 kpc. We find excellent agreement with other wide-area RR Lyrae catalogs and RR Lyrae studies targeting the Magellanic Clouds and other Milky Way satellite galaxies. We fit the smooth stellar halo density profile using a broken-power-law model with fixed halo flattening (q = 0.7), and we find strong evidence for a break at kpc with an inner slope of and an outer slope of . We use…
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