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arXiv 2408.00837astro-ph.HEastro-ph.COastro-ph.GA
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测量A3266星系团内的ICM速度结构

Measuring the ICM velocity structure within the A3266 galaxy cluster

E. Gatuzz, J. Sanders, A. Liu, A. Fabian, C. Pinto, H. Russell, D. Eckert, S. Walker, J. ZuHone, R. Mohapatra

AI总结:

该研究通过新观测与新颖能标校准方法分析A3266星系团ICM速度结构,揭示其系统性红移速度分布特征,为理解星系团动力学及合并中ICM行为提供关键数据。

摘要:

我们对A3266星系团内热 intracluster medium(ICM,星系团内介质)的速度结构进行了详细分析,包括2023年6月至11月期间的新观测数据。首先,我们使用高斯梯度幅度(GGM)和自适应平滑GGM滤波器对EPIC-pn X射线图像进行处理,以研究星系团内的形态结构。然后,我们应用了一种新颖的XMM-Newton EPIC-pn能标校准方法——该方法使用仪器Cu Kα作为谱线发射的参考——来测量系统内热气体的视线速度。这种方法使我们能够创建速度、温度和金属丰度的二维投影图,结果显示热气体在所有视场内都表现出相对于星系团红移的系统性红移速度。通过非重叠圆形区域对速度分布的进一步分析表明,一致的红移速度从星系团核心延伸至1125 kpc处。此外,我们沿表面亮度不连续区域评估了速度分布,发现在所有区域均存在红移速度,其中最大速度达到768±284 km/s。我们还从速度图计算了速度概率密度函数(PDF),并进行了正态性检验,发现PDF符合单峰正态分布,与理论预测一致。最后,我们使用测得的视线速度计算了该系统的速度结构函数(VSF)。这些见解增进了我们对A3266星系团内动力学过程的理解,并为我们对合并星系团中ICM行为的更广泛认知做出了贡献。

英文摘要:

We present a detailed analysis of the velocity structure of the hot intracluster medium (ICM) within the A3266 galaxy cluster, including new observations taken between June and November 2023. Firstly, morphological structures within the galaxy cluster were examined using a Gaussian Gradient Magnitude (GGM) and adaptively smoothed GGM filter applied to the EPIC-pn X-ray image. Then, we applied a novel {\it XMM-Newton} EPIC-pn energy scale calibration, which uses instrumental Cu K$α$ as reference for the line emission, to measure line-of-sight velocities of the hot gas within the system. This approach enabled us to create two-dimensional projected maps for velocity, temperature, and metallicity, showing that the hot gas displays a redshifted systemic velocity relative to the cluster redshift across all fields of view. Further analysis of the velocity distribution through non-overlapping circular regions demonstrated consistent redshifted velocities extending up to 1125 kpc from the cluster core. Additionally, the velocity distribution was assessed along regions following surface brightness discontinuities, where we observed redshifted velocities in all regions, with the largest velocities reaching $768 \pm 284$ km/s. Moreover, we computed the velocity Probability Density Function (PDF) from the velocity map. We applied a normality test, finding that the PDF adheres to an unimodal normal distribution consistent with theoretical predictions. Lastly, we computed a velocity structure function (VSF) for this system using the measured line-of-sight velocities. These insights advance our understanding of the dynamic processes within the A3266 galaxy cluster and contribute to our broader knowledge of ICM behavior in merging galaxy clusters.

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