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arXiv 1609.07896astro-ph.GAastro-ph.HE
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用全球毫米VLBI在6 $R_{\rm sch}$分辨率下分辨M87中相对论性喷流的底部

Resolving the base of the relativistic jet in M87 at 6$R_{\rm sch}$ resolution with global mm-VLBI

J. -Y. Kim, R. -S. Lu, T. P. Krichbaum, M. Bremer, J. A. Zensus, R. C. Walker, the M87 collaboration

摘要:

M87是距离我们最近的射电星系之一,它有一个中央SMBH和一个显著的相对论性喷流。由于它与观测者的距离很近,并且SMBH质量很大,因此该源是获得对AGN喷流形成和演化的理论模型的强观测约束的最佳实验室之一。在这篇文章中,我们提出了我们正在进行的观测研究的初步结果,在一个超高分辨率的$\sim$ 50 $μ$的全球毫米VLBI阵列(GMVA)实现的M87的最里面的喷流。2004年至2015年期间获得的数据清楚地显示了极端分辨率和灵敏度的边缘增亮喷流。我们的初步分析表明,最里面的射流扩展在一个边缘增亮的圆锥结构(抛物线形状),但与射流膨胀轮廓略有不同的射流的外部区域。从厘米到毫米波长的VLBI核心的亮度温度显示出系统的演变,这可以解释为作为一个函数的演变从BH。我们还采用了另一种成像算法BSMEM,以测试比标准CLEAN方法(即超分辨率)更高的角分辨率下的可靠成像。一个VLBA 7mm示例数据集的演示显示了与近实时3mm VLBI图像一致的结果。将该方法应用于2009年的GMVA数据,产生了一幅具有以前从未成像过的显着精细尺度结构的图像。我们提出了一个简单的解释结构的复杂性。

英文摘要:

M87 is one of the nearest radio galaxies with a central SMBH and a prominent relativistic jet. Due to its close distance to the observer and the large SMBH mass, the source is one of the best laboratories to obtain strong observational constraints on the theoretical models for the formation and evolution of the AGN jets. In this article, we present preliminary results from our ongoing observational study about the innermost jet of M87 at an ultra-high resolution of $\sim$50$μ$as achieved by the Global Millimeter-VLBI Array (GMVA). The data obtained between 2004 and 2015 clearly show limb-brightened jets at extreme resolution and sensitivity. Our preliminary analysis reveals that the innermost jet expands in an edge-brightened cone structure (parabolic shape) but with the jet expansion profile slightly different from the outer regions of the jet. Brightness temperatures of the VLBI core obtained from cm- to mm-wavelengths show a systematic evolution, which can be interpreted as the evolution as a function of distance from the BH. We also adopt an alternative imaging algorithm, BSMEM, to test reliable imaging at higher angular resolution than provided by the standard CLEAN method (i.e. super-resolution). A demonstration with a VLBA 7mm example data set shows consistent results with a near-in-time 3mm VLBI image. Application of the method to the 2009 GMVA data yields an image with remarkable fine-scale structures that have been never imaged before. We present a brief interpretation of the complexity in the structure.

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