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 ${\rm d}\langle{\rm [Fe/H]}\rangle/{\rm d}Z\approx -0.19,{\rm dex}\cdot{\rm kpc}^{-1}R=8.25,{\rm kpc}$. 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 $H\approx 1.13,{\rm kpc}L\approx 3.63,{\rm kpc}$, 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 $n_{oh}\approx 3.1$, indicating that the stellar number density of inner halo changes more steeper than that of outer halo.

生成讲解博客的中文版本

生成AI智能校验的中文版本