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arXiv 2008.03679astro-ph.HEastro-ph.CO
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武仙座-北冕长城中的伽马射线暴集群:宇宙中最大的结构?

The clustering of gamma-ray bursts in the Hercules-Corona Borealis Great Wall: the largest structure in the Universe?

I. Horvath, D. Szécsi, J. Hakkila, Á. Szabó, I. I. Racz, L. V. Tóth, S. Pinter, Z. Bagoly

摘要:

武仙座-北冕长城是一个统计上显著的红移为2的伽马射线暴聚集体。最近的理论结果表明,一个最大的宇宙结构的大小可能确实符合其估计的大小(2-3Gpc)的动机,我们重新审视这个长城的存在从观测和理论的角度来看的问题。我们的统计分析证实了聚类的存在,在目前最可靠的数据集,我们提出了一个视频显示这个数据集看起来像在~3D。宇宙学的解释(即与引力物质的分布有关)和天体物理学的解释(即与宇宙时空中恒星形成的速率有关)关于这样一个结构的起源提出并简要讨论,观测偏差的作用也进行了详细讨论。这一点,再加上利用伽马射线暴作为独特的宇宙学探测器的科学重要性,强调了对未来任务的需要,如THESEUS卫星,它将为我们提供前所未有的伽马射线暴均匀数据和测量的红移。我们由此得出结论,武仙座-北冕座长城可能确实是宇宙中最大的结构--但要决定它是否真的存在,我们需要忒修斯。

英文摘要:

The Hercules-Corona Borealis Great Wall is a statistically significant clustering of gamma-ray bursts around redshift 2. Motivated by recent theoretical results indicating that a maximal Universal structure size may indeed coincide with its estimated size (2-3Gpc), we reexamine the question of this Great Wall's existence from both observational and theoretical perspectives. Our statistical analyses confirm the clustering's presence in the most reliable data set currently available, and we present a video showing what this data set looks like in~3D. Cosmological explanations (i.e. having to do with the distribution of gravitating matter) and astrophysical explanations (i.e. having to do with the rate of star formation over cosmic time and space) regarding the origin of such a structure are presented and briefly discussed and the role of observational bias is also discussed at length. This, together with the scientific importance of using gamma-ray bursts as unique cosmological probes, emphasises the need for future missions such as the THESEUS satellite which will provide us with unprecedentedly homogeneous data of gamma-ray bursts with measured redshifts. We conclude from all this that the Hercules-Corona Borealis Great Wall may indeed be the largest structure in the Universe - but to be able to decide conclusively whether it actually exists, we need THESEUS.

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。

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