Physical modelling of AGN feedback
Lead Research Organisation:
Durham University
Department Name: Physics
Abstract
The aim of the project is to develop new, more physically based
subgrid models for feedback on galaxy formation from Active Galactic
Nuclei (AGN), and then to include them in cosmological gas-dynamical
simulations of galaxy formation. A theoretical model will be developed
for winds driven by radiation pressure from accretion disks around
supermassive black holes. This model will be used to predict the rates
of injection of energy and momentum by such winds over the whole range
of black hole mass, accretion rate and spin. These injection rates
will be used to develop a new subgrid model for AGN feedback based on
energy- or momentum-conserving winds, suitable for inclusion in the
EAGLE cosmological gas-dynamical simulation code. Galaxy formation
simulations will then be run using the new AGN feedback model, and the
results analysed.
subgrid models for feedback on galaxy formation from Active Galactic
Nuclei (AGN), and then to include them in cosmological gas-dynamical
simulations of galaxy formation. A theoretical model will be developed
for winds driven by radiation pressure from accretion disks around
supermassive black holes. This model will be used to predict the rates
of injection of energy and momentum by such winds over the whole range
of black hole mass, accretion rate and spin. These injection rates
will be used to develop a new subgrid model for AGN feedback based on
energy- or momentum-conserving winds, suitable for inclusion in the
EAGLE cosmological gas-dynamical simulation code. Galaxy formation
simulations will then be run using the new AGN feedback model, and the
results analysed.
People |
ORCID iD |
Iohn Norberg (Primary Supervisor) | |
Arnau Quera Bofarull (Student) |
Publications
Aylett-Bullock J
(2021)
Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement.
in PLoS computational biology
Aylett-Bullock J
(2021)
June: open-source individual-based epidemiology simulation.
in Royal Society open science
Cuesta-Lazaro C
(2021)
Vaccinations or Non-Pharmaceutical Interventions: Safe Reopening of Schools in England
Elvis M
(2020)
Q wind code release: a non-hydrodynamical approach to modelling line-driven winds in active galactic nuclei
in Monthly Notices of the Royal Astronomical Society
Quera-Bofarull A
(2023)
qwind 3: UV line-driven accretion disc wind models for AGN feedback
in Monthly Notices of the Royal Astronomical Society
Quera-Bofarull Arnau
(2020)
Qwind code release. A non-hydrodynamical approach to modelling line-driven winds in active galactic nuclei
in arXiv e-prints
Vernon I
(2022)
Bayesian Emulation and History Matching of JUNE
Vernon I
(2022)
Bayesian emulation and history matching of JUNE.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
ST/P006744/1 | 30/09/2017 | 29/09/2024 | |||
1941820 | Studentship | ST/P006744/1 | 30/09/2017 | 10/09/2022 | Arnau Quera Bofarull |