arXiv 2607.26932astro-ph.CO

J-PAS与FLAMINGO：测光巡天引力图景中的宇宙空洞与空洞星系

J-PAS & FLAMINGO: Cosmic voids and void galaxies in the gravitational landscape of photometric surveys

J. A. Mansour, B. McCarthy, L. J. Liivamägi, A. Tamm, R. van de Weygaert, J. Laur, E. Tempel, M. Einasto, P. Heinämäki, J. Schaye, M. Schaller, R. Abramo, A. He… 展开作者

J. A. Mansour, B. McCarthy, L. J. Liivamägi, A. Tamm, R. van de Weygaert, J. Laur, E. Tempel, M. Einasto, P. Heinämäki, J. Schaye, M. Schaller, R. Abramo, A. Hernán-Caballero, V. Marra, J. Alcaniz, N. Benitez, S. Bonoli, S. Carneiro, J. Cenarro, D. Cristóbal-Hornillos, S. Daflon, R. Dupke, A. Ederoclite, Rosa M. González Delgado, C. Hernández-Monteagudo, J. Liu, C. López-Sanjuan, A. Marín-Franch, C. M. de Oliveira, M. Moles, F. Roig, L. Sodré, K. Taylor, J. Varela, H. Vázquez Ramió, J. Vilchez, J. Zaragoza-Cardiel

首次发表 2026-07-30

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中文总结 AI 辅助

该研究针对J-PAS测光巡天的红移误差问题，利用FLAMINGO模拟提出基于准引力势场的分水岭算法识别宇宙空洞，验证了该方法可缓解红移误差，可靠识别动力学主导空洞及符合预期的空洞星系性质趋势。

中文摘要 AI 辅助

测光巡天为绘制宇宙大尺度结构提供了有力手段，但其红移误差会使宇宙空洞的识别变得复杂，阻碍对空洞环境效应对星系性质影响的研究。我们提出一种方法，用于在Javalambre加速宇宙天体物理巡天（J-PAS）的星系模拟中稳健识别具有动力学相关性的空洞与空洞星系，检验空洞星系性质的已知趋势是否能在测光红移误差下保留。我们使用z=0.3、i波段星等mi<20的FLAMINGO模拟，对比基于FLAMINGO的理想（FBI）模拟与具有J-PAS型红移误差的FLAMINGO基JP模拟。我们利用两个星系模拟中的准引力势场缓解红移误差，对阈值化后的准势场应用分水岭算法识别动力学主导的空洞，并定义大质量空洞星系及高密度区域的对比样本。测光误差会导致空洞丰度略有降低，且向更大、更接近球形的空洞发生微小偏移，但模拟间的整体尺寸与椭率分布吻合良好；其主要影响是高密度区域散射的星系会污染JP模拟密度剖面的空洞内部。我们在JP样本中恢复了合理数量的FBI样本空洞，其尺寸与形状吻合度极佳，占阈值化准势体积的约63%。在两个模拟中，与高密度区域的等质量星系相比，空洞星系均表现出更低的恒星质量、更蓝的颜色及更强的恒星形成活动。这些结果表明，准势可缓解J-PAS预期水平的红移误差，能识别对小尺度噪声敏感性更低的可靠动力学主导空洞，大质量空洞星系群体呈现出与高密度环境相关的预期趋势。

英文摘要

Photometric surveys offer a powerful way to map the large-scale structure of the Universe, but their redshift errors complicate the identification of cosmic voids, challenging studies of their environmental effect on galaxy properties. We present an approach to robustly identify dynamically relevant voids and void galaxies in galaxy mocks of the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS), testing whether known trends in void galaxy properties survive photometric redshift errors. Using FLAMINGO mocks at z = 0.3 and mi < 20, we compare a FLAMINGO-based ideal (FBI) mock to a FLAMINGO-based JP mock with J-PAS-like redshift errors. We mitigate redshift errors using a quasi-gravitational potential field in the two galaxy mocks. We apply a watershed algorithm to the thresholded quasi-potential field to identify dynamically dominant voids, and define massive void galaxies alongside a comparison sample in high-density regions. Photometric errors lead to a slightly lower void abundance and a marginal shift toward larger, less spherical voids, but overall size and ellipticity distributions agree well between mocks. Their main impact is contamination of void interiors in the JP density profiles by galaxies scattered from high-density regions. We recover a reasonable number of FBI sample voids in the JP sample, with excellent size and shape agreement, occupying ~63% of the thresholded quasi-potential volume. In both mocks, void galaxies show lower stellar masses, bluer colours, and enhanced star formation relative to equal-mass galaxies in high-density regions. These results suggest a quasi-potential can mitigate redshift errors at the level expected for J-PAS, enabling identification of reliable, dynamically dominant voids that are less sensitive to small-scale noise. The massive void galaxy population shows the expected trends relative to high-density environments.