A Systematic Study of AGN Feedback in a Disk Galaxy. I. Global Overview

Abstract This is the first paper in a series using our MACER framework to investigate the evolution of a disk galaxy, which emphasizes the role of active galactic nucleus (AGN) feedback and incorporates cosmological inflows. This paper presents the model setup and the overall results. The predicted AGN duty cycle of ∼0.49% is consistent with observations. Analysis of the AGN luminosity and star formation rate (SFR) light curves reveals a positive correlation between the two. We find that cold filaments condense in the circumgalactic medium (CGM) region due to radiative cooling and subsequently fall onto the galaxy, significantly enhancing both the SFR and AGN activity. The galaxy is then quenched over a timescale of ∼1 Gyr by the strong feedback from the enhanced AGN activity. This indicates that a positive correlation between SFR and AGN luminosity does not preclude AGN feedback from acting as the quenching mechanism for the galaxy. Notably, models without AGN feedback exhibit significantly lower peak SFRs than those with it. We attribute this difference to cumulative AGN feedback, which drives gas from the galaxy into the CGM, facilitating the formation of more massive cold filaments and ultimately promoting more intense starburst episodes.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2026-03-11
DOI
https://doi.org/10.3847/1538-4357/ae47fe
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Systematic Study of AGN Feedback in a Disk Galaxy. I. Global Overview

Luis C. Ho, Yingjie Peng, Jing Wang, Tao Wang et al.
The Astrophysical Journal
Galaxies: Formation, Evolution, Phenomena
article

A Systematic Study of AGN Feedback in a Disk Galaxy. I. Global Overview

Luis C. Ho, Yingjie Peng, Jing Wang, Tao Wang, Yuxuan Zou, Suoqing Ji, Bocheng Zhu, Feng Yuan
article en

Abstract

Abstract This is the first paper in a series using our MACER framework to investigate the evolution of a disk galaxy, which emphasizes the role of active galactic nucleus (AGN) feedback and incorporates cosmological inflows. This paper presents the model setup and the overall results. The predicted AGN duty cycle of ∼0.49% is consistent with observations. Analysis of the AGN luminosity and star formation rate (SFR) light curves reveals a positive correlation between the two. We find that cold filaments condense in the circumgalactic medium (CGM) region due to radiative cooling and subsequently fall onto the galaxy, significantly enhancing both the SFR and AGN activity. The galaxy is then quenched over a timescale of ∼1 Gyr by the strong feedback from the enhanced AGN activity. This indicates that a positive correlation between SFR and AGN luminosity does not preclude AGN feedback from acting as the quenching mechanism for the galaxy. Notably, models without AGN feedback exhibit significantly lower peak SFRs than those with it. We attribute this difference to cumulative AGN feedback, which drives gas from the galaxy into the CGM, facilitating the formation of more massive cold filaments and ultimately promoting more intense starburst episodes.

The Astrophysical JournalVol. 1000(1)
Chinese Academy of Sciences (CN), Peking University (CN), Fudan University (CN), Shanghai Astronomical Observatory (CN), Kavli Institute for Theoretical Sciences (CN), Institute of Modern Physics (CN), National Astronomical Observatories (CN), University of Chinese Academy of Sciences (CN), Nanjing University (CN)
Openalex Percentile: Top 29%
Galaxies: Formation, Evolution, Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.