Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-27T13:04:54.201Z Has data issue: false hasContentIssue false

Measuring Stellar Radial Velocity using Markov Chain Monte Carlo(MCMC) Method

Published online by Cambridge University Press:  06 January 2014

Yihan Song
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, China email: yhsong@lamost.org, lal@lamost.org, yzhao@lamost.org
Ali Luo
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, China email: yhsong@lamost.org, lal@lamost.org, yzhao@lamost.org
Yongheng Zhao
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing, China email: yhsong@lamost.org, lal@lamost.org, yzhao@lamost.org
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Stellar radial velocity is estimated by using template fitting and Markov Chain Monte Carlo(MCMC) methods. This method works on the LAMOST stellar spectra. The MCMC simulation generates a probability distribution of the RV. The RV error can also computed from distribution.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2014