feedback is a crucial process in galaxy evolution, involving energy and matter released by supermassive black holes. It can both stimulate and suppress star formation, shaping how galaxies grow and change over time.
This feedback comes in different forms, like radiation heating gas or jets pushing it out. Understanding AGN feedback helps explain galaxy properties we see today, like why massive galaxies stopped forming stars earlier than smaller ones.
Role of AGN feedback
AGN feedback plays a crucial role in the evolution of galaxies and the intergalactic medium
Involves the interaction between the energy and matter released by the central supermassive black hole and the surrounding gas and dust
Can have both positive and negative effects on star formation and galaxy growth
Types of AGN feedback
Radiative vs kinetic feedback
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occurs when the intense radiation from the AGN heats and ionizes the surrounding gas
involves the mechanical energy of jets and winds driven by the AGN
The dominant mode of feedback depends on the AGN luminosity and the properties of the surrounding medium
Positive vs negative feedback
can trigger star formation by compressing gas clouds ()
suppresses star formation by heating and expelling gas from the galaxy
The balance between positive and negative feedback shapes the evolution of galaxies
Impact on galaxy evolution
Regulation of star formation
AGN feedback can quench star formation in massive galaxies by heating and removing the cold gas reservoir
Can explain the observed downsizing trend, where massive galaxies form stars earlier and more rapidly than lower-mass galaxies
Helps maintain the quiescent state of early-type galaxies (ellipticals and lenticulars)
Influence on gas content
AGN-driven can expel significant amounts of gas from galaxies
Can lead to the depletion of the interstellar medium and the quenching of star formation
May also enrich the intergalactic medium with metals produced by stellar evolution
Effects on galaxy morphology
AGN feedback can alter the morphology of galaxies by redistributing gas and stars
Can contribute to the formation of bulges and the transformation of spiral galaxies into ellipticals
May also affect the size and structure of the dark matter halo surrounding the galaxy
AGN feedback in clusters
Heating of intracluster medium
AGN in the central galaxies of clusters can heat the surrounding intracluster medium (ICM)
Prevents the ICM from cooling and forming stars, maintaining the hot gas reservoir
Can explain the observed lack of cool cores in some galaxy clusters
Prevention of cooling flows
AGN feedback can offset the radiative cooling of the ICM in cluster cores
Injects energy into the ICM through jets and bubbles, balancing the cooling losses
Helps solve the cooling flow problem, where the observed star formation rates in cluster cores are much lower than predicted by cooling models
Observational evidence
X-ray cavities in clusters
Chandra X-ray observations have revealed large cavities in the ICM of some clusters
These cavities are inflated by the jets and bubbles from the central AGN
Provide direct evidence for the mechanical energy input from AGN into the ICM
Molecular outflows in galaxies
Observations of molecular gas in galaxies have detected high-velocity outflows
These outflows are likely driven by the AGN, as they are too energetic to be explained by stellar feedback alone
Indicate that AGN can expel significant amounts of cold gas from galaxies
Suppression of star formation
Studies have found a correlation between AGN activity and the suppression of star formation in galaxies
Galaxies with active AGN tend to have lower star formation rates than similar galaxies without AGN
Suggests that AGN feedback plays a role in quenching star formation, particularly in massive galaxies
Theoretical models
Hydrodynamical simulations
Numerical simulations that include the hydrodynamics of gas and the effects of AGN feedback
Can model the complex interactions between the AGN and the surrounding medium
Have been successful in reproducing observed properties of galaxies and clusters (mass-size relation, color bimodality)
Semi-analytical models
Simplified models that describe the evolution of galaxies using analytical prescriptions
Incorporate AGN feedback as a key ingredient in regulating galaxy growth
Can efficiently explore a wide range of parameters and scenarios
Challenges and uncertainties
Coupling of feedback energy
The efficiency of AGN feedback depends on how well the energy couples to the surrounding gas
Different feedback mechanisms (jets, winds, radiation) may have different coupling efficiencies
Uncertainties in the coupling efficiency can affect the predicted impact of AGN feedback
Role of magnetic fields
Magnetic fields can influence the propagation and dissipation of AGN-driven jets and bubbles
Can affect the stability and morphology of the ICM in clusters
The importance of magnetic fields in AGN feedback is still poorly understood
Relative importance of mechanisms
The relative importance of different AGN feedback mechanisms (radiative vs kinetic, positive vs negative) is not well constrained
Likely depends on the AGN properties (luminosity, accretion rate) and the surrounding environment
Disentangling the effects of different mechanisms is a challenge for observations and simulations
Future research directions
Multi-wavelength observations
Combining observations across different wavelengths (X-ray, optical, radio) can provide a more complete picture of AGN feedback
Can probe different components of the feedback process (hot gas, cold gas, star formation)
Upcoming facilities like JWST, SKA, and Athena will enable more detailed studies of AGN feedback
High-resolution simulations
Increasing the resolution of hydrodynamical simulations can better resolve the small-scale physics of AGN feedback
Can study the detailed interactions between the AGN and the interstellar medium
Requires significant computational resources and improved numerical methods
Comparison of feedback modes
Comparing the effects of different AGN feedback modes (radiative vs kinetic, positive vs negative) in simulations and observations
Can help constrain the relative importance of different mechanisms in different environments
May require targeted observations of specific types of AGN and galaxies