Identifying RR lyrae variable stars in six years of the dark energy survey
Stringer, K M and Drlica-Wagner, A and Desai, Shantanu and et al, . (2021) Identifying RR lyrae variable stars in six years of the dark energy survey. IOP Publishing Ltd.
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Abstract
We present a search for RR Lyrae stars using the full six-year data set from the Dark Energy Survey covering ∼5000 deg2 of the southern sky. Using a multistage multivariate classification and light-curve template-fitting scheme, we identify RR Lyrae candidates with a median of 35 observations per candidate. We detect 6971 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 = - R 32.1+ kpc 0 0.9 1.1 with an inner slope of = - - n 2.54+ 1 0.09 0.09 and an outer slope of = - - n 5.42+ 2 0.14 0.13. We use our catalog to perform a search for Milky Way satellite galaxies with large sizes and low luminosities. Using a set of simulated satellite galaxies, we find that our RR Lyrae-based search is more sensitive than those using resolved stellar populations in the regime of large (rh 500 pc), low-surface-brightness dwarf galaxies. A blind search for large, diffuse satellites yields three candidate substructures. The first can be confidently associated with the dwarf galaxy Eridanus II. The second has a distance and proper motion similar to the ultrafaint dwarf galaxy Tucana II but is separated by ∼5 deg. The third is close in projection to the globular cluster NGC 1851 but is ∼10 kpc more distant and appears to differ in proper motion. © 2021 Institute of Physics Publishing. All rights reserved.
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Item Type: | Other | ||||
Subjects: | Physics | ||||
Divisions: | Department of Physics | ||||
Depositing User: | . LibTrainee 2021 | ||||
Date Deposited: | 27 Aug 2022 07:18 | ||||
Last Modified: | 27 Aug 2022 07:18 | ||||
URI: | http://raiithold.iith.ac.in/id/eprint/10309 | ||||
Publisher URL: | https://doi.org/10.3847/1538-4357/abe873 | ||||
OA policy: | https://v2.sherpa.ac.uk/id/publication/6401 | ||||
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