AGN jet feedback on a moving mesh: cocoon inflation, gas flows and turbulence
Monthly Notices of the Royal Astronomical Society
Oxford University Press
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Bourne, M., & Sijacki, D. (2017). AGN jet feedback on a moving mesh: cocoon inflation, gas flows and turbulence. Monthly Notices of the Royal Astronomical Society, 472 (4), 4707-4735. https://doi.org/10.1093/mnras/stx2269
In many observed galaxy clusters, jets launched by the accretion process onto supermassive black holes, inflate large scale cavities filled with energetic, relativistic plasma. This process is thought to be responsible for regulating cooling losses, thus moderating the inflow of gas onto the central galaxy, quenching further star formation and maintaining the galaxy in a red and dead state. In this paper, we implement a new jet feedback scheme into the moving mesh-code AREPO, contrast different jet injection techniques and demonstrate the validity of our implementation by comparing against simple analytical models. We find that jets can significantly affect the intracluster medium (ICM), offset the overcooling through a number of heating mechanisms, as well as drive turbulence, albeit within the jet lobes only. Jet-driven turbulence is, however, a largely ineffective heating source and is unlikely to dominate the ICM heating budget even if the jet lobes efficiently fill the cooling region, as it contains at most only a few percent of the total injected energy. We instead show that the ICM gas motions, generated by orbiting substructures, while inefficient at heating the ICM, drive large scale turbulence and when combined with jet feedback, result in line-of-sight velocities and velocity dispersions consistent with the Hitomi observations of the Perseus cluster.
galaxies: active, jets, galaxies: clusters: general, intracluster medium, black hole physics, methods: numerical
MAB and DS acknowledge support by the ERC starting grant 638707 “BHs and their host galaxies: co-evolution across cosmic time.” DS further acknowledges support from the STFC. This research used: The DiRAC Darwin Supercomputer hosted by the University of Cambridge High Performance Computing Service (http://www.hpc.cam.ac.uk/), provided by Dell Inc. using Strategic Research Infrastructure Funding from the Higher Education Funding Council for England and funding from the Science and Technology Facilities Council; The COSMA Data Centric system at Durham University, operated by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility. This equipment was funded by a BIS National E-infrastructure capital grant ST/K00042X/1, STFC capital grant ST/K00087X/1, DiRAC Operations grant ST/K003267/1 and Durham University. The DiRAC Complexity system, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment is funded by BIS National E-Infrastructure capital grant ST/K000373/1 and STFC DiRAC Operations grant ST/K0003259/1. DiRAC is part of the UK National EInfrastructure.
ECH2020 EUROPEAN RESEARCH COUNCIL (ERC) (638707)
SCIENCE & TECHNOLOGY FACILITIES COUNCIL (ST/N000927/1)
External DOI: https://doi.org/10.1093/mnras/stx2269
This record's URL: https://www.repository.cam.ac.uk/handle/1810/267435