A Bayesian Method for the Extinction
Hai-Jun Tian, Chao Liu, Jing-Yao Hu, Yang Xu, Xue-Lei Chen

TL;DR
This paper introduces a Bayesian approach to accurately estimate Galactic extinction parameters, demonstrating high precision and consistency with existing methods using SDSS data.
Contribution
The paper presents a novel Bayesian method for measuring Galactic extinction parameters, achieving high accuracy and validation against simulated and real SDSS data.
Findings
Achieves ~0.01 mag accuracy in extinction measurement
Extinction estimates are consistent with previous studies
Method is promising even with small reddening values
Abstract
We propose a Bayesian method to measure the total Galactic extinction parameters, and . Validation tests based on the simulated data indicate that the method can achieve the accuracy of around 0.01\,mag. We apply this method to the SDSS BHB stars in the northern Galactic cap and find that the derived extinctions are highly consistent with those from \cite{SFD98}. It suggests that the Bayesian method is promising for the extinction estimation, even the reddening values are close to the observational errors.
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Statistical and numerical algorithms
