标题： 通过太阳射电效应测量的冷核心星系团的有偏总质量 显示英文标题

标题： Biased total mass of cool core galaxy clusters by Sunyaev-Zel'dovich effect measurements

摘要： 太阳亚毫波（SZ）效应来自星系团，是研究大尺度宇宙最强大的宇宙学工具之一。 SZ效应的最大优点是其红移无关性，这与可见光和X射线观测不同。 它使我们能够直接从积分康普顿化参数Y估计星系团的总质量，即使对于遥远的星系团也是如此。 然而，对星系团内介质（ICM）物理知识的不完整可能会影响结果。 通过考虑ICM的自相似温度和密度分布，我们研究了不同的ICM形态如何影响星系团总质量的估计。 借助目前观察到的高比例冷核心（CC）星系团，本次分析专注于研究这类天体。 考虑了一个由八个附近（0.1 < z < 0.5）且高质（M > 10^(14) M_sun）的星系团组成的样本，这些星系团由钱德拉望远镜观测。 我们通过X射线推导的信息模拟了这些星系团的SZ观测，并再次用ICM的等温β模型分布的简单假设分析了模拟的SZ数据。 在流体静力平衡的情况下，使用不同假设集恢复的星系团总质量偏差估计要高出50%。 考虑到视线积分和所考虑的ICM模板对总偏差的可能贡献。 总质量恢复中的较大偏差牢固地支持，如果仍有必要的话，基于更复杂的通用分布的星系团建模，这些分布由本地天体的X射线观测和流体动力学模拟得出。 显示英文摘要

摘要： The Sunyaev Zel'dovich (SZ) effect from galaxy clusters is one of the most powerful cosmological tools for investigating the large-scale Universe. The big advantage of the SZ effect is its redshift independence, which is not the case for visible and X-ray observations. It allows us to directly estimate the cluster's total mass from the integrated comptonization parameter Y, even for distant clusters. However, not having a full knowing intra-cluster medium (ICM) physics can affect the results. By taking self-similar temperature and density profiles of the ICM into account, we studied how different ICM morphologies can affect the cluster total mass estimation. With the help of the high percentage of cool core (CC) clusters, as observed so far, the present analysis focuses on studying this class of objects. A sample of eight nearby (0.1 < z < 0.5) and high-mass (M > 10^(14) M_sun) clusters observed by Chandra was considered. We simulated SZ observations of these clusters through X-ray derived information and analyzed the mock SZ data again with the simplistic assumption of an isothermal beta-model profile for the ICM. The bias on the recovered cluster total mass using different sets of assumptions is estimated to be 50% higher in the case of hydrostatic equilibrium. Possible contributions to the total bias due to the line-of-sight integration and the considered ICM template are taken into account. The large biases on total mass recovery firmly support, if still necessary, cluster modeling based on more sophisticated universal profiles as derived by X-ray observations of local objects and hydrodynamical simulations.