The Power of High Precision Broadband Photometry: Tracing the Milky Way Density Profile with Blue Horizontal Branch stars in the Dark Energy Survey
Fengqing Yu, Ting S. Li, Joshua S. Speagle, Gustavo E. Medina, Sergey, E. Koposov, Joss Bland-Hawthorn, Lara R. Cullinane, Gwendolyn M. Eadie, Denis, Erkal, Geraint F. Lewis, Guilherme Limberg, Daniel B. Zucker

TL;DR
This paper demonstrates how high-precision broadband photometry from DES can effectively identify Blue Horizontal Branch stars to map the Milky Way's halo density profile, providing results consistent with previous studies and highlighting future survey potentials.
Contribution
Developed a Bayesian mixture model to classify BHB stars using DES DR2 photometry, enabling detailed mapping of the Milky Way's halo density profile.
Findings
BHB stars follow a power-law density profile with index ~4.28
Selected ~2100 probable BHBs for halo mapping
Results align with existing literature on halo structure
Abstract
Blue Horizontal Branch (BHB) stars, excellent distant tracers for probing the Milky Way's halo density profile, are distinguished in the vs color space from another class of stars, blue straggler stars (BSs). We develop a Bayesian mixture model to classify BHB stars using high-precision photometry data from the Dark Energy Survey Data Release 2 (DES DR2). We select highly-probable BHBs based on their photometry and the associated uncertainties, and use these stars to map the stellar halo over the Galactocentric radial range kpc. After excluding known stellar overdensities, we find that the number density of BHBs can be represented by a power law density profile with an index of , consistent with existing literature values. In addition, we examine the…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Scientific Research and Discoveries
