{"ID":23551637,"CreatedAt":"2026-09-18T04:14:56.806955139Z","UpdatedAt":"2026-09-18T04:14:56.806955139Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2609.19993","arxiv_id":"2609.19993","title":"Topological Signatures of AGN Feedback in the Simba Simulations","abstract":"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 $r\u003c1 h^{-1} Mpc$. 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.","short_abstract":"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 mos...","url_abs":"https://arxiv.org/abs/2609.19993","url_pdf":"https://arxiv.org/pdf/2609.19993v1","authors":"[\"Ryusei R. Kano\",\"Romeel Davé\",\"Tsutomu T. Takeuchi\",\"Hayato Shimabukuro\"]","published":"2026-09-17T10:00:11Z","proceeding":"astro-ph.GA","tasks":"[\"astro-ph.GA\"]","methods":"[]","has_code":false}