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arXiv 1707.02248astro-ph.CO
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普朗克星表中遥远星系团的压力分布

Pressure profiles of distant galaxy clusters in the Planck catalog

H. Bourdin, P. Mazzotta, A. Kozmanyan, C. Jones, A. Vikhlinin

摘要:

连续发布的普朗克数据已经证明了Sunyaev-Zeldovich(SZ)效应在探测星系团外围的热重子方面的强度。为了推断从附近的星系团到更远的物体的热气体压力结构,我们开发了一种参数化方法,该方法模拟了与星系团SZ和尘埃信号混合的银河系热尘埃和宇宙微波背景的光谱能量分布和空间各向异性。利用高频仪器通道的最佳角分辨率(5弧分),并使用X射线先验在最里面的集群区域,没有解决与普朗克,这种建模使我们能够分析一个样本的61个附近成员的普朗克目录的SZ源($0 < z < 0.5$,$\tilde{z} = 0.15$)使用完整的任务数据,以及检查遥远的23个集群的样本($0.5 < z < 1$,$\tilde{z} = 0.56$),最近已经跟进了XMM-牛顿和钱德拉观测。我们发现:(i)质量标度压力分布的平均形状与普朗克合作在附近的星系团样品中获得的结果一致,(ii)在低和高红移星系团样品的平均压力分布之间没有明显的演化迹象。与理论预测的这些晕质量和红移范围一致,相对于自相似形状的个体分布的分散度在$r_{500}$内部保持在10%以下,但在星团外围增加。

英文摘要:

Successive releases of Planck data have demonstrated the strength of the Sunyaev--Zeldovich (SZ) effect in detecting hot baryons out to the galaxy cluster peripheries. To infer the hot gas pressure structure from nearby galaxy clusters to more distant objects, we developed a parametric method that models the spectral energy distribution and spatial anisotropies of both the Galactic thermal dust and the Cosmic Microwave Background, that are mixed-up with the cluster SZ and dust signals. Taking advantage of the best angular resolution of the High Frequency Instrument channels (5 arcmin) and using X-ray priors in the innermost cluster regions that are not resolved with Planck, this modelling allowed us to analyze a sample of 61 nearby members of the Planck catalog of SZ sources ($0 < z < 0.5$, $\tilde{z} = 0.15$) using the full mission data, as well as to examine a distant sample of 23 clusters ($0.5 < z < 1$, $\tilde{z} = 0.56$) that have been recently followed-up with XMM-Newton and Chandra observations. We find that (i) the average shape of the mass-scaled pressure profiles agrees with results obtained by the Planck collaboration in the nearby cluster sample, and that (ii) no sign of evolution is discernible between averaged pressure profiles of the low- and high-redshift cluster samples. In line with theoretical predictions for these halo masses and redshift ranges, the dispersion of individual profiles relative to a self-similar shape stays well below 10 % inside $r_{500}$ but increases in the cluster outskirts.

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