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Horizontal Branch Stars: The Interplay between Observations and Theory, and Insights into the Formation of the Galaxy

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arxiv astro-ph/0507464 v2 pith:HPSHMCSU submitted 2005-07-19 astro-ph

Horizontal Branch Stars: The Interplay between Observations and Theory, and Insights into the Formation of the Galaxy

classification astro-ph
keywords starslyraebasisdichotomyoosterhoffpresentedabridgedabsolute
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We review HB stars in a broad astrophysical context, including both variable and non-variable stars. A reassessment of the Oosterhoff dichotomy is presented, which provides unprecedented detail regarding its origin and systematics. We show that the Oosterhoff dichotomy and the distribution of globular clusters (GCs) in the HB morphology-metallicity plane both exclude, with high statistical significance, the possibility that the Galactic halo may have formed from the accretion of dwarf galaxies resembling present-day Milky Way satellites such as Fornax, Sagittarius, and the LMC. A rediscussion of the second-parameter problem is presented. A technique is proposed to estimate the HB types of extragalactic GCs on the basis of integrated far-UV photometry. The relationship between the absolute V magnitude of the HB at the RR Lyrae level and metallicity, as obtained on the basis of trigonometric parallax measurements for the star RR Lyrae, is also revisited, giving a distance modulus to the LMC of (m-M)_0 = 18.44+/-0.11. RR Lyrae period change rates are studied. Finally, the conductive opacities used in evolutionary calculations of low-mass stars are investigated. [ABRIDGED]

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Improving reddening estimates for RR Lyrae stars in the Gaia bands: a machine learning approach to the PAC(Z) relation

    astro-ph.SR 2026-07 conditional novelty 6.0

    New SFS-based linear relations predict Gaia intrinsic colors of RRab and RRc RR Lyrae from period, amplitude, and metallicity, yielding reddening and AG estimates that are cross-checked on clusters and dwarf galaxies.

  2. MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12

    astro-ph.SR 2026-06 unverdicted novelty 5.0

    MSFA-Net applies multi-scale convolutions and soft frequency attention to LAMOST spectra, achieving high-precision BHB identification and adding 3583 new candidates to the catalog.