Density Profiles of TNG 300 Voids across Cosmic Time

Olivia Curtis, Bryanne McDonough and Tereasa G. Brainerd
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Abstract

We present radial density profiles, as traced by luminous galaxies and dark matter particles, for voids in 11 snapshots of the TNG 300 simulation. The snapshots span 11.65 Gyr of cosmic time, corresponding to the redshift range 0 ≤ z ≤ 3. Using the comoving galaxy fields, voids were identified via a well-tested, watershed transformation-based algorithm. Voids were defined to be underdense regions that are unlikely to have arisen from Poisson noise, resulting in the selection of ∼100–200 of the largest underdense regions in each snapshot. At all redshifts, the radial density profiles as traced by both the galaxies and the dark matter resemble inverse top-hat functions. However, details of the functions (particularly the underdensities of the innermost regions and the overdensities of the ridges) evolve considerably more for the dark matter density profiles than for the galaxy density profiles. At all redshifts, a linear relationship between the galaxy and dark matter density profiles exists, and the slope of the relationship is similar to the bias estimates for TNG 300 snapshots. Lastly, we identify distinct environments in which voids can exist, defining “void-in-void” and “void-in-cloud” populations (i.e., voids that reside in larger underdense or overdense regions, respectively), and we investigate ways in which the relative densities of dark matter and galaxies in the interiors and ridges of these structures vary as a function of void environment.
穿越宇宙时间的TNG 300空洞的密度剖面
在TNG 300模拟的11张快照中,我们展示了由发光星系和暗物质粒子追踪的径向密度曲线。这些快照跨越11.65 Gyr的宇宙时间,对应于红移范围0≤z≤3。利用移动的星系场,通过一种经过良好测试的分水岭变换算法来识别空洞。空洞被定义为不太可能由泊松噪声引起的低密度区域,从而在每个快照中选择约100-200个最大的低密度区域。在所有的红移中,星系和暗物质追踪到的径向密度曲线类似于逆顶帽函数。然而,功能的细节(特别是最内层区域的低密度和脊的高密度)在暗物质密度剖面上比在星系密度剖面上进化得更多。在所有红移中,星系和暗物质密度分布之间存在线性关系,关系的斜率与TNG 300快照的偏差估计相似。最后,我们确定了可以存在空洞的不同环境,定义了“空洞中空洞”和“云中空洞”种群(即,分别存在于较大的低密度或过密度区域的空洞),并且我们研究了这些结构内部和脊中的暗物质和星系的相对密度随空洞环境变化的方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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