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arXiv · 2507.08790

Triggering and quenching in the shadow of AGN: How does AGN proximity affect star formation in the EAGLE simulation?

Apashanka Das·Biswajit Pandey
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Abstract

Active galactic nuclei (AGN) inject vast amounts of energy into their surroundings and are widely recognised as key drivers of galaxy evolution through feedback processes. Although the effects of AGN feedback within host galaxies are well studied, the extent to which AGN influence star formation in neighbouring galaxies remains an open question. In this work, we use the EAGLE cosmological hydrodynamical simulation to investigate how AGN proximity modulates star formation in nearby star-forming galaxies (SFGs) on scales up to 2 Mpc. We employ a carefully constructed control sample matched in stellar mass and local density to isolate the environmental impact of AGN, and quantify deviations in star formation using an SFR offset relative to matched controls. Our analysis reveals a clear, non-uniform response to AGN proximity: low-mass galaxies exhibit systematically different star formation responses than their high-mass counterparts, with gas-rich systems frequently showing mild star formation enhancement, consistent with triggering via AGN-driven compression or turbulence, while gas-poor systems preferentially exhibit suppressed star formation, indicative of thermal heating inhibiting gas cooling. Cold gas availability is found to be more strongly associated with this modulation than stellar mass alone. These signatures are strongest within $\sim 1$ Mpc of AGN hosts but persist out to 2 Mpc, demonstrating that AGN feedback operates well beyond the host halo. Together, our results establish AGN as non-local regulators of galaxy evolution, capable of shaping star formation in neighbouring galaxies through extended feedback processes that link black hole accretion physics to the large-scale cosmic environment.

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Apashanka Das, Biswajit Pandey. 2025-07-11. Triggering and quenching in the shadow of AGN: How does AGN proximity affect star formation in the EAGLE simulation?. https://doi.org/10.1088/1674-4527%2Faea0b5

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