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arXiv 2403.20008astro-ph.GA
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空洞寻找算法对星系分类的影响

The impact of void-finding algorithms on galaxy classification

Fatima Zaidouni, Dahlia Veyrat, Kelly A. Douglass, Segev BenZvi

AI总结:

本文比较V2和VoidFinder两种空洞寻找算法,发现V2因边界延伸至密度极大值而将墙区域星系误分类为空洞星系,导致无法反映大尺度环境对星系性质的影响,揭示了空洞定义对星系演化研究的关键作用。

摘要:

我们利用空洞分析软件工具包中的两种空洞寻找算法,探讨空洞的定义如何影响关于空洞环境对星系性质影响的结论:V2是ZOBOV的Python实现,而VoidFinder是一种增长并合并球形空洞区域的算法。利用斯隆数字巡天数据发布7,我们发现VoidFinder空洞中的星系往往比密集区域中的星系更蓝、更暗,并且具有更高的(比)恒星形成率。相反,在V2空洞中发现的星系与密集区域中的星系相比没有显著差异,这与模拟和先前观测所预期的大尺度环境对星系性质的影响不一致。这些结果与先前的模拟结果一致,模拟结果显示V2识别的空洞会“泄漏”到空洞之间的致密墙中,因为它们的边界延伸至墙中的密度极大值。因此,当使用基于ZOBOV的空洞寻找器时,可能属于墙区域的星系反而被归类为空洞星系,这种错误分类可能对我们理解星系演化至关重要。

英文摘要:

We explore how the definition of a void influences the conclusions drawn about the impact of the void environment on galactic properties using two void-finding algorithms in the Void Analysis Software Toolkit: V2, a Python implementation of ZOBOV, and VoidFinder, an algorithm which grows and merges spherical void regions. Using the Sloan Digital Sky Survey Data Release 7, we find that galaxies found in VoidFinder voids tend to be bluer, fainter, and have higher (specific) star formation rates than galaxies in denser regions. Conversely, galaxies found in V2 voids show no significant differences when compared to galaxies in denser regions, inconsistent with the large-scale environmental effects on galaxy properties expected from both simulations and previous observations. These results align with previous simulation results that show V2-identified voids "leaking" into the dense walls between voids because their boundaries extend up to the density maxima in the walls. As a result, when using ZOBOV-based void finders, galaxies likely to be part of wall regions are instead classified as void galaxies, a misclassification that can be critical to our understanding of galaxy evolution.

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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