期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 407, 期 1, 页码 339-354出版社
OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2010.16896.x
关键词
methods: numerical; methods: statistical; techniques: photometric; techniques: spectroscopic; astrometry; stars: distances
资金
- PPARC/STFC
- Science and Technology Facilities Council [PP/D001242/1, ST/G002509/1, ST/G002479/1] Funding Source: researchfish
- STFC [ST/G002479/1, PP/D001242/1, ST/G002509/1] Funding Source: UKRI
A Bayesian approach to the determination of stellar distances from photometric and spectroscopic data is presented and tested both on pseudo-data, designed to mimic data for stars observed by the Radial Velocity Experiment survey, and on the real stars from the Geneva-Copenhagen survey. It is argued that this method is optimal in the sense that it brings to bear all available information and that its results are limited only by observational errors and the underlying physics of stars. The method simultaneously returns the metallicities, ages and masses of programme stars. Remarkably, the uncertainty in the output metallicity is typically 44 per cent smaller than the uncertainty in the input metallicity.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据