A Monte-Carlo Method for Estimating Stellar Photometric Metallicity Distributions

Autor: Gu, Jiayin, Du, Cuihua, jing, Yingjie, Zuo, Wenbo
Rok vydání: 2016
Předmět:
Druh dokumentu: Working Paper
DOI: 10.3847/0004-637X/826/1/36
Popis: Based on the Sloan Digital Sky Survey (SDSS), we develop a new monte-carlo based method to estimate the photometric metallicity distribution function (MDF) for stars in the Milky Way. Compared with other photometric calibration methods, this method enables a more reliable determination of the MDF, in particular at the metal-poor and metal-rich ends. We present a comparison of our new method with a previous polynomial-based approach, and demonstrate its superiority. As an example, we apply this method to main-sequence stars with $0.2Comment: 6 pages, 6 Figures, Accepted for publication in ApJ
Databáze: arXiv