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26 April 2024 |
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Spectro-photometric distances to stars: a general-purpose Bayesian approach | | Basílio X. Santiago
; Dorothée E. Brauer
; Friedrich Anders
; Cristina Chiappini
; Léo Girardi
; Helio J. Rocha-Pinto
; Eduardo Balbinot
; Luiz N. da Costa
; Marcio A.G. Maia
; Mathias Schultheis
; Matthias Steinmetz
; Andrea Miglio
; Josefina Montalbán
; Donald P. Schneider
; Timothy C. Beers
; Peter M. Frinchaboy
; Young Sun Lee
; Gail Zasowski
; | | Date: |
22 Jan 2015 | | Abstract: | We have developed a procedure that estimates distances to stars using
measured spectroscopic and photometric quantities. It employs a Bayesian
approach to build the probability distribution function over stellar
evolutionary models given the data, delivering estimates of expected distance
for each star individually. Our method provides several alternative distance
estimates for each star in the output, along with their associated
uncertainties. The code was first tested on simulations, successfully
recovering input distances to mock stars with errors that scale with the
uncertainties in the adopted spectro-photometric parameters, as expected. The
code was then validated by comparing our distance estimates to parallax
measurements from the Hipparcos mission for nearby stars (< 60 pc), to
asteroseismic distances of CoRoT red giant stars, and to known distances of
well-studied open and globular clusters. The photometric data of these
reference samples cover both the optical and near infra-red wavelengths. The
spectroscopic parameters are also based on spectra taken at various
wavelengths, with varying spectral coverage and resolution: the Radial Velocity
Experiment, the Sloan Digital Sky Survey programs SEGUE and APOGEE, and the ESO
HARPS instrument. For Hipparcos and CoRoT samples, the typical random distance
scatter is 20% or less, both for the nearby and farther data. There is a trend
towards underestimating the distances by < 10%. The comparison to star clusters
from SEGUE and APOGEE has led to systematic differences < 5% for most cluster
stars although with significant scatter. Finally, we tested our distances
against those previously determined for a high quality sample of giant stars
from the RAVE survey, again finding a reasonable agreement, with only a small
systematic trend. Efforts are underway to provide our code to the community by
running it on a public server. | | Source: | arXiv, 1501.5500 | | Services: | Forum | Review | PDF | Favorites | |
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