GIGANTES

GIGANTES数据集是由普林斯顿大学天体物理科学系创建的，是目前最全面和真实的宇宙空洞目录套件。该数据集包含超过10亿个宇宙空洞，覆盖的体积大于可观测宇宙，数据量超过20TB。数据集是通过在QUIJOTE的暗物质模拟上运行VOID 查找器VIDE创建的。GIGANTES数据集的内容包括数千个宇宙模型，涵盖了从宇宙空洞的大小、数量、Tokens数到数据来源等多个方面。创建过程中，使用了VOID 查找器VIDE，这是一种不假设空洞形状的VOID 查找器，非常适合需要精确确定空洞形状的宇宙学分析。GIGANTES数据集的应用领域包括精确宇宙学、宇宙大尺度结构研究、宇宙空洞研究、目录和调查研究以及机器学习。该数据集旨在解决宇宙学中的关键问题，如宇宙空洞是否携带独特的宇宙学信息，以及这些信息如何与星系信息相关联。

The GIGANTES dataset, developed by the Department of Astrophysical Sciences at Princeton University, is currently the most comprehensive and realistic suite of cosmic void catalogs. This dataset contains over 1 billion cosmic voids, spans a volume larger than that of the observable universe, and has a total data volume exceeding 20 TB. It was constructed by running the void finder VIDE on the QUIJOTE dark matter simulations. The GIGANTES dataset includes thousands of cosmological models, covering diverse aspects such as the size, quantity, number of Tokens, and data provenance of cosmic voids. During its development, the void finder VIDE was utilized: this algorithm does not assume any predefined shape of cosmic voids, making it ideal for cosmological analyses requiring precise determination of void morphology. The GIGANTES dataset has applications in precision cosmology, large-scale cosmic structure research, cosmic void studies, catalog and survey analyses, and machine learning. It aims to address key open questions in cosmology, such as whether cosmic voids carry unique cosmological information, and how such information correlates with galactic observational data.