Simba模拟中AGN反馈的拓扑特征
Topological Signatures of AGN Feedback in the Simba Simulations
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中文总结 AI 辅助
本研究利用拓扑数据分析（TDA）分析Simba模拟中不同AGN反馈对星系空间分布的影响，发现持续图能有效区分反馈效应，尤其在淬灭晕中的卫星星系，为星系巡天提供补充约束。
中文摘要 AI 辅助
活动星系核（AGN）反馈可以改变大尺度结构中星系的丰度和空间分布。我们将拓扑数据分析（TDA）应用于具有不同AGN反馈的Simba流体动力学模拟，在$z=0$处确定哪些星系种群、环境和空间尺度受影响最大。星系两点相关函数在$r<1 h^{-1} Mpc$尺度上对反馈最为敏感。然后，我们使用Betti曲线、持续图（persistence diagrams）和2-Wasserstein距离来量化反馈引起的拓扑变化。持续图比Betti曲线显示出更清晰的差异，特别是对于卫星星系。对于卫星星系，环状特征在$\alpha=0.1$--$0.4 h^{-1} Mpc$尺度上对所有反馈通道均显示出显著差异，同时在$\alpha=1$--$3 h^{-1} Mpc$尺度上存在较弱的累积差异。这些差异在$M_h\gtrsim10^{12} M_\odot$的淬灭暗物质晕中的卫星星系中最为强烈。最优匹配表明，这些差异主要由环状特征的诞生和消亡尺度的移动所驱动，而非其出现或消失。这些结果表明，持续同调可以为星系巡天中的AGN反馈和环境淬灭提供补充约束。
英文摘要
Active galactic nuclei (AGN) feedback can alter the abundance and spatial distribution of galaxies within large-scale structure. We apply topological data analysis (TDA) to Simba hydrodynamical simulations with varying AGN feedback at $z=0$ to determine which galaxy populations, environments, and spatial scales are most affected. The galaxy two-point correlation function is most sensitive to feedback at $r<1 h^{-1} Mpc$. We then use Betti curves, persistence diagrams, and the 2-Wasserstein distance to quantify feedback-dependent changes in topology. Persistence diagrams show clearer differences than Betti curves, particularly for satellite galaxies. For satellites, loop-like features show significant differences at $α=0.1$--$0.4 h^{-1} Mpc$ for all feedback channels, together with a weaker cumulative difference at $α=1$--$3 h^{-1} Mpc$. The differences are strongest for satellites in quenched halos with $M_h\gtrsim10^{12} M_\odot$. Optimal matching shows that they are driven mainly by shifts in the birth and death scales of loop-like features rather than by their appearance or disappearance. These results indicate that persistent homology can provide complementary constraints on AGN feedback and environmental quenching in galaxy surveys.
发表机构
- Nagoya University（名古屋大学）
- University of Edinburgh（爱丁堡大学）
- University of the Western Cape（西开普大学）
- The Institute of Statistical Mathematics（统计数学研究所）
- Yunnan University（云南大学）
机构由 AI 辅助整理，请以论文原文为准。
