测试与星系团动力学状态相关的熵估计器
Testing an entropy estimator related to the dynamical state of galaxy clusters
AI总结：
提出从全局动力学参数计算的熵估计器$H_Z$以捕捉星系系统演化程度，并在70个本地星系团观测样本及IllustrisTNG模拟样本中验证了其与系统引力组装状态的明确统计相关性。
摘要：
我们提出从全局动力学参数计算的熵估计器$H_Z$，试图捕捉星系系统的演化程度。我们假设这些系统中成员星系的观测（空间和速度）分布随时间演化，趋向于更高动力学弛豫（更高熵）的状态，在位力平衡中变得更加随机和均匀。因此，$H_Z$熵应对应于系统的引力组装状态。我们在本地宇宙中70个采样良好的星系团样本中对此进行了测试，这些星系团的引力组装状态通过光学和X射线对子结构的分析进行分类，显示出与$H_Z$的明确统计相关性。该估计器还在IllustrisTNG模拟的星系团（晕）样本上进行了测试，获得的结果与观测结果一致。
英文摘要：
We propose the entropy estimator $H_Z$, calculated from global dynamical parameters, in an attempt to capture the degree of evolution of galaxy systems. We assume that the observed (spatial and velocity) distributions of member galaxies in these systems evolve over time towards states of higher dynamical relaxation (higher entropy), becoming more random and homogeneous in virial equilibrium. Thus, the $H_Z$-entropy should correspond to the gravitacional assembly state of the systems. This was tested in a sample of 70 well sampled clusters in the Local Universe whose gravitational assembly state, classified from optical and X-ray analysis of substructures, shows clear statistical correlation with $H_Z$. This estimator was also tested on a sample of clusters (halos) from the IllustrisTNG simulations, obtaining results in agreement with the observational ones.
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