Distance determination for RAVE stars using stellar models
M.A. Breddels, M.C. Smith, A. Helmi, O. Bienayme, J. Binney, J., Bland-Hawthorn, C. Boeche, B.C.M. Burnett, R. Campbell, K.C. Freeman, B., Gibson, G. Gilmore, E.K. Grebel, U. Munari, J.F. Navarro, Q.A. Parker, G.M., Seabroke, A. Siebert, A. Siviero, M. Steinmetz, F.G. Watson

TL;DR
This paper presents a new method combining stellar models and spectroscopic data to derive distances and full phase-space coordinates for RAVE stars, enabling detailed Galactic structure analysis.
Contribution
The authors develop and validate a novel technique for estimating stellar distances using atmospheric and photometric data, improving accuracy for main-sequence stars in the RAVE survey.
Findings
25% of stars have distance errors < 35%
Kinematic substructures are confirmed in the dataset
Distance estimates align well with known Galactic parameters
Abstract
(Abridged) Aims:We develop a method for deriving distances from spectroscopic data and obtaining full 6D phase-space coordinates for the RAVE survey's second data release. Methods: We used stellar models combined with atmospheric properties from RAVE (Teff, logg and [Fe/H]) and (J-Ks) photometry from archival sources to derive absolute magnitudes. We are able to derive the full 6D phase-space coordinates for a large sample of RAVE stars. This method is tested with artificial data, Hipparcos trigonometric parallaxes and observations of the open cluster M67. Results: When we applied our method to a set of 16 146 stars, we found that 25% (4 037) of the stars have relative (statistical) distance errors of < 35%, while 50% (8 073) and 75% (12 110) have relative (statistical) errors smaller than 45% and 50%, respectively. Our various tests show that we can reliably estimate distances for…
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