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arXiv 0807.3239astro-ph
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星系团外非平衡区的质量估计

Mass estimation in the outer non-equilibrium region of galaxy clusters

Guido Cupani, Marino Mezzetti, Fabio Mardirossian

摘要:

我们讨论了一个新的标准来估计质量的外部,非平衡区域的星系团,其中的星系动力学是占主导地位的整体落入运动向集群中心。在球形坍缩模型的框架下,坍缩星系在每个半径上的局部平均速度提供了积分物质过密度$δ$的信息。因此,在转向半径$r_t$处,即哈勃流平衡下落运动的半径处,期望有一个定义明确的过密度值$δ_t$。在这种情况下,我们分析了一个大的模拟集群目录的运动学特性,使用暗物质粒子和成员星系作为下落运动的示踪剂。我们还将模拟结果与球坠近似下的解析计算结果进行了比较,分析了在空间平坦宇宙中模拟结果与宇宙学的关系。如果我们通过转向质量$M_t$(即$r_t$内的质量)将簇质量分布归一化,则它们与整个非平衡区域($0.5\la r/r_t\la 2$)中的指数分布一致。转向半径与病毒化半径($r_t\simeq 3.5 r_v$)成比例,而转向质量与病毒化质量(即$M_t\simeq 1.7 M_v$)成比例,其中$M_v$是$r_v$内的质量。实际上,在转向半径内评估的质量是集群总质量的更详尽的评估。这些结果可以应用于对观测到的团簇的分析。

英文摘要:

We discuss a new criterion to estimate the mass in the outer, non-equilibrium region of galaxy clusters, where the galaxy dynamics is dominated by an overall infall motion towards the cluster centre. In the framework of the spherical infall model the local mean velocity of the infalling galaxies at every radius provides information about the integrated matter overdensity $δ$. Thus, a well-defined value of the overdensity $δ_t$ is expected at the turnaround radius $r_t$, i.e. the radius where the Hubble flow balances the infall motion. Within this scenario, we analysed the kinematical properties of a large catalogue of simulated clusters, using both dark matter particles and member galaxies as tracer of the infall motion. We also compared the simulation with analytical calculation performed in the spherical infall approximation, to analyze the dependence of the results on cosmology in spatially flat universe. If we normalize cluster mass profiles by means of the turnaround mass $M_t$ (i.e. the mass within $r_t$), they are consistent with an exponential profile in the whole non-equilibrium region ($0.5\la r/r_t\la 2$). Turnaround radii are proportional to virialization radii ($r_t\simeq 3.5 r_v$), while turnaround masses are proportional to virialization masses, i.e. $M_t\simeq 1.7 M_v$, where $M_v$ is the mass within $r_v$. Actually, the mass evaluated within the turnaround radius is a more exhaustive evaluation of the total mass of the cluster. These results can be applied to the analysis of observed clusters.

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