Dynamics and Morphology of Cold Gas in Fast, Radiatively Cooling Outflows: Constraining AGN Energetics with Horseshoes
Yu Qiu (1), Haojie Hu (1, 2), Kohei Inayoshi (1), Luis C. Ho (1, 2),, Tamara Bogdanovic (3), Brian R. McNamara (4, 5, 6) ((1) Kavli Institute for, Astronomy, Astrophysics, Peking University, (2) Department of Astronomy,, School of Physics, Peking University

TL;DR
This study uses 3D hydrodynamic simulations to show that cold gas in galaxy outflows forms through radiative cooling, creating filamentary structures and explaining observed features like the horseshoe filament, while estimating AGN outflow energetics.
Contribution
It introduces a new model where cold gas forms via radiative cooling in fast outflows, providing insights into filament formation and AGN energetics, contrasting with previous ram pressure acceleration theories.
Findings
Cold gas forms through radiative cooling in outflows exceeding 10^7 K.
Elongated filamentary structures extend tens of kiloparsecs.
AGN outbursts drove bipolar outflows with velocities >2000 km/s and energies >8×10^57 erg.
Abstract
Warm ionized and cold neutral outflows with velocities exceeding are commonly observed in galaxies and clusters. Theoretical studies however indicate that ram pressure from a hot wind, driven either by the central active galactic nucleus (AGN) or a starburst, cannot accelerate existing cold gas to such high speeds without destroying it. In this work we explore a different scenario, where cold gas forms in a fast, radiatively cooling outflow with temperature . Using 3D hydrodynamic simulations, we demonstrate that cold gas continuously fragments out of the cooling outflow, forming elongated filamentary structures extending tens of kiloparsecs. For a range of physically relevant temperature and velocity configurations, a ring of cold gas perpendicular to the direction of motion forms in the outflow. This naturally explains the formation of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
