Cosmic Web Reconstruction: A Unique Opportunity to Study the Cosmic Structures of the Universe

了解物质在宇宙中的分布是建立物质演化精确模型的关键。研究人员将利用大型星系样本中的丝状结构图作为大型结构的新指标，然后与其他数据进行比较。他们试图从这些数据中追踪宇宙网。这项工作的更广泛影响包括培训一名研究生，通过在阿勒格尼天文台的公开讲座、在线教育游戏和现有的中学生项目，使更广泛的社区参与进来。这项研究将把新数据与其他宇宙学观测数据交叉关联起来，比如重子声学振荡，并研究带有细丝的本征星系形状。该小组已经开发出一种方法来识别纯光度数据中的细丝，并获得该奖项，将开发一个预先存在的原型成重建工具。然后，他们将把该工具应用于模拟数据。

Understanding how matter is distributed in the Universe is key to developing accurate models of how it evolved. The investigators will use mapping of filamentary structures in large samples of galaxies as a new indicator of large scale structure that can then be compared to other data. They seek to trace the cosmic web from these data. Broader impacts of the work include training of a graduate student, and engagement of the broader community through public lectures at the Allegheny Observatory, online educational games, and existing programs for middle school students.The research will cross correlate the new data with other cosmological observables like Baryon Acoustic Oscillations and study intrinsic galaxy shapes with filaments. The group has developed a method for identifying filaments in purely photometric data and, with this award, will develop a pre-existing prototype into a reconstruction tool. They will then apply the tool to simulated data.