Galactic Stellar Populations from Photometric Metallicity Distribution Functions
Abstract
Based on Sloan Digital Sky Survey (SDSS) photometric data, Gu developed a new Monte-Carlo-based method for estimating the stellar metallicity distribution functions (MDFs). This method enables a more reliable determination of MDFs compared with the conventional polynomial-based methods. In this work, MDF determined from the method are well fit by three-Gaussian model, with peaks at =, , and , associated with the thick disk, inner halo, and outer halo, respectively. The vertical metallicity gradient within is around . But the mean radial gradient is almost negligible. The density profile of the thick disk is fitted with modified double exponential law decaying to a constant at far distance. The scale height and scale length thus estimated are and , which are in consistent with the results determined from star-counts method in previous studies. The halos are described with two-axial power-law ellipsoid and the axis ratios of both inner halo and outer halo, inferred from stellar number density in - plane, are and , respectively. It also manifests that the outer halo is a more spherical than inner halo. Moreover, the halo power-law indices estimated are and , indicating that the stellar number density of inner halo changes more steeper than that of outer halo.
Cite
@article{arxiv.1905.02880,
title = {Galactic Stellar Populations from Photometric Metallicity Distribution Functions},
author = {Jiayin Gu and Cuihua Du and Wenbo Zuo},
journal= {arXiv preprint arXiv:1905.02880},
year = {2019}
}
Comments
10 pages, 12 figures, Accepted for publication in ApJ