论文标题
M31暗物质曲线的数值分析
Numerical analyses of M31 dark matter profiles
论文作者
论文摘要
我们考虑到最后一个包含暗物质质量的主要部分,从而重现了仙女座星系(M31)的旋转曲线(M31)。因此,我们的处方是将银河凸出分别分别分成两个组成部分,即内部和主凸起。因此,这两个凸起都是由指数密度曲线建模的,因为我们强调了广泛接受的de vaucouleurs定律未能再现整个银河膨胀旋转曲线。此外,我们采用各种众所周知的现象学暗物质概况来估计光环区域的暗物质质量。此外,我们采用最小二乘拟合方法来确定旋转曲线的无模型参数,即特征(中央)密度,比例半径,因此总质量。为此,我们基于大都市算法执行马尔可夫链蒙特卡洛统计分析,最大程度地提高了我们采用旋转曲线速度和半径数据点的可能性。我们不适合凸起,磁盘和光晕的组件,但是我们执行的整体拟合度,包括所有组件并使用所有数据点。因此,我们批判性地分析了我们相应的发现,尤其是我们采用贝叶斯信息标准来评估最认可的模型来描述M31暗物质动力学。
We reproduce the rotation curve of the Andromeda galaxy (M31) by taking into account its bulge, disk, and halo components, considering the last one to contain the major part of dark matter mass. Hence, our prescription is to split the galactic bulge into two components, namely, the inner and main bulges, respectively. Both bulges are thus modeled by exponential density profiles since we underline that the widely accepted de Vaucouleurs law fails to reproduce the whole galactic bulge rotation curve. In addition, we adopt various well-known phenomenological dark matter profiles to estimate the dark matter mass in the halo region. Moreover, we apply the least-squares fitting method to determine from the rotation curve the model free parameters, namely, the characteristic (central) density, scale radius, and consequently the total mass. To do so, we perform Markov chain Monte Carlo statistical analyses based on the Metropolis algorithm, maximizing our likelihoods adopting velocity and radii data points of the rotation curves. We do not fit separately the components for bulges, disk and halo, but we perform an overall fit including all the components and employing all the data points. Thus, we critically analyze our corresponding findings and, in particular, we employ the Bayesian Information Criterion to assess the most accredited model to describe M31 dark matter dynamics.