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Astrophysics > Astrophysics of Galaxies

arXiv:2301.00822 (astro-ph)
[Submitted on 2 Jan 2023 (v1) , last revised 20 Jun 2023 (this version, v3)]

Title: Detecting Dark Compact Objects in Gaia DR4: A Data Analysis Pipeline for Transient Astrometric Lensing Searches

Title: 在盖亚DR4中探测暗紧凑型天体:瞬态视差透镜搜索的数据分析管道

Authors:I-Kai Chen, Marius Kongsore, Ken Van Tilburg
Abstract: The Gaia satellite is cataloging the astrometric properties of an unprecedented number of stars in the Milky Way with extraordinary precision. This provides a gateway for conducting extensive surveys of transient astrometric lensing events caused by dark compact objects. In this work, we establish a data analysis pipeline capable of searching for such events in the upcoming Gaia Data Release 4 (DR4). We use Gaia Early Data Release 3 (EDR3) and current dark matter and astrophysical black hole population models to create mock DR4 catalogs containing stellar trajectories perturbed by lensing. Our analysis of these mock catalogs suggests that Gaia DR4 will contain about 4 astrometric lensing events from astrophysical black holes at a $5\sigma$ significance level. Furthermore, we project that our data analysis pipeline applied to Gaia DR4 will result in leading constraints on compact dark matter in the mass range $1$-$10^3~M_\odot$ down to a dark matter fraction of about one percent.
Abstract: 盖亚卫星正在以非凡的精确度编目银河系中前所未有的大量恒星的天文学特性。 这为开展由暗紧凑型天体引起的瞬态天文学透镜事件的大规模调查提供了途径。 在这项工作中,我们建立了一个数据分析管道,能够搜索即将到来的盖亚数据发布 4(DR4)中的此类事件。 我们使用盖亚早期数据发布 3(EDR3)以及当前的暗物质和天体物理黑洞种群模型来创建包含受透镜扰动的恒星轨迹的模拟 DR4 目录。 我们对这些模拟目录的分析表明,盖亚 DR4 将包含大约 4 次来自天体物理黑洞的天文学透镜事件,显著性水平为$5\sigma$。 此外,我们预计,应用于盖亚 DR4 的我们的数据分析管道将在质量范围$1$至$10^3~M_\odot$内对紧凑型暗物质产生领先的约束,直至暗物质比例约为百分之一。
Comments: 43 pages, 20 figures
Subjects: Astrophysics of Galaxies (astro-ph.GA) ; Cosmology and Nongalactic Astrophysics (astro-ph.CO); High Energy Physics - Phenomenology (hep-ph)
Cite as: arXiv:2301.00822 [astro-ph.GA]
  (or arXiv:2301.00822v3 [astro-ph.GA] for this version)
  https://doi.org/10.48550/arXiv.2301.00822
arXiv-issued DOI via DataCite
Journal reference: JCAP07(2023)037
Related DOI: https://doi.org/10.1088/1475-7516/2023/07/037
DOI(s) linking to related resources

Submission history

From: I-Kai Chen [view email]
[v1] Mon, 2 Jan 2023 19:00:01 UTC (3,565 KB)
[v2] Mon, 13 Feb 2023 21:10:05 UTC (7,798 KB)
[v3] Tue, 20 Jun 2023 20:32:26 UTC (8,006 KB)
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