论文标题
阿罗西塔调查中星系簇的静水质量谱图
Hydrostatic Mass Profiles of Galaxy Clusters in the eROSITA Survey
论文作者
论文摘要
在集群内培养基和星系簇的重力之间假设静水平衡是一种研究其总质量的广泛使用方法。我们希望在SRG/EROSITA调查的背景下测试使用观察码获得的静静力量。我们使用静液压建模码MBPROJ2将表面亮度曲线拟合到具有理想特性的模拟群集以及从磁性途径途径模拟中获取的93个簇样品的样本。我们在理想化的观察条件以及现实的色素数据质量的假设下研究了后者。拟合累积的总质量概况和模拟提供的真实质量概况的比较允许获得有关我们方法可靠性的知识。此外,我们使用真正的轮廓来实现气体密度和压力来根据每个集群的理论计算静液压质量谱。对于模拟以实现完美静水平衡的理想化集群,我们发现可以以不到7%的偏差为单位$ r_ {500} $和$ r_ {200} $的累积总质量。对于理想化的观察条件下的磁性探路者模拟的簇,考虑到液压质量偏置,拟合的累积总质量的中值与我们的期望是一致的。然而,我们发现郊区累积总质量概况的陡峭度过高。对于现实的EROSITA数据质量,对于具有高红移的集群,这种陡峭的问题会加剧,从而导致$ r_ {200} $的累积总质量过高。对于基于模拟中已知的真实剖面的静水质量,我们与对静液压质量的期望有很好的一致性。
To assume hydrostatic equilibrium between the intracluster medium and the gravitational potential of galaxy clusters is an extensively used method to investigate their total masses. We want to test hydrostatic masses obtained with an observational code in the context of the SRG/eROSITA survey. We use the hydrostatic modeling code MBProj2 to fit surface-brightness profiles to simulated clusters with idealized properties as well as to a sample of 93 clusters taken from the Magneticum Pathfinder simulations. We investigate the latter under the assumption of idealized observational conditions and also for realistic eROSITA data quality. The comparison of the fitted cumulative total mass profiles and the true mass profiles provided by the simulations allows to gain knowledge about the reliability of our approach. Furthermore, we use the true profiles for gas density and pressure to compute hydrostatic mass profiles based on theory for every cluster. For an idealized cluster that was simulated to fulfill perfect hydrostatic equilibrium, we find that the cumulative total mass at the true $r_{500}$ and $r_{200}$ can be reproduced with deviations of less than 7%. For the clusters from the Magneticum Pathfinder simulations under idealized observational conditions, the median values of the fitted cumulative total masses at the true $r_{500}$ and $r_{200}$ are in agreement with our expectations, taking into account the hydrostatic mass bias. Nevertheless, we find a tendency towards a too high steepness of the cumulative total mass profiles in the outskirts. For realistic eROSITA data quality, this steepness problem intensifies for clusters with high redshifts and thus leads to too high cumulative total masses at $r_{200}$. For the hydrostatic masses based on the true profiles known from the simulations, we find a good agreement with our expectations concerning the hydrostatic mass.