arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0902.4051astro-ph.CO
收藏

MS2137 .3-2353的X射线和强透镜质量估计

X-ray and strong lensing mass estimate of MS2137.3-2353

Annamaria Donnarumma, Stefano Ettori, Massimo Meneghetti, Lauro Moscardini

摘要:

我们提出了新的星系团MS 2137.3 -2353的质量估计,推断从X射线和强透镜分析。该集群表现出突出的强透镜配置,并表示一个良好的放松的动力学状态,是最适合的质量重建,结合这两种技术。尽管如此,之前的几项研究声称X射线和强透镜质量估计之间存在显着差异。本文的主要目的是解决和解释这种不匹配。为此,我们分析了钱德拉观测恢复集群内介质属性的配置文件,并假设一个函数形式的物质密度,总质量分布。MS2137.3的显著强透镜特征使我们能够利用透镜反演代码Lensstool以良好的精度重建其中心区域的投影质量。我们发现我们对MS 2137的X射线质量和强透镜质量的估计值之间有很好的一致性,在Navarro-Frenk-White(NFW)密度分布的假设下,得出的平均外推值为M_200 ~ 4.4 +/- 0.3*10^14 M_sun。然而,强透镜质量估计受到BCG质量建模的细节的影响。特别是,我们没有发现证据的高浓度的NFW密度分布,在一些早期的作品中报道。

英文摘要:

We present new mass estimates of the galaxy cluster MS2137.3-2353, inferred from X-ray and strong lensing analyses. This cluster exhibits an outstanding strong lensing configuration and indicates a well-relaxed dynamical state, being most suitable for a mass reconstruction which combines both techniques. Despite this, several previous studies have claimed a significant discrepancy between the X-ray and the strong lensing mass estimates. The primary aim of this paper is to address and explain this mismatch. For this purpose, we have analysed Chandra observations to recover the profiles of the intra-cluster medium properties and, assuming a functional form for the matter density, the total mass distribution. The notable strong-lensing features of MS2137.3 allow us to reconstruct its projected mass in the central regions with good accuracy, by taking advantage of the lensing inversion code Lenstool. We find a good agreement between our X-ray and strong lensing mass estimates for MS2137, leading to a mean, extrapolated value of M_200 ~ 4.4 +/- 0.3*10^14 M_sun, under the assumption of the Navarro-Frenk-White (NFW) density profile. However, the strong lensing mass estimate is affected by the details of the BCG mass modeling. In particular, we do not find evidence for a high concentration for the NFW density profile, as reported in some earlier works.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑