2009
DOI: 10.1111/j.1365-2966.2009.15043.x
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Cosmological simulations of the growth of supermassive black holes and feedback from active galactic nuclei: method and tests

Abstract: We present a method that self‐consistently tracks the growth of supermassive black holes (BHs) and the feedback from active galactic nuclei (AGN) in cosmological, hydrodynamical simulations. Our model is a substantially modified version of the one introduced by Springel, Di Matteo & Hernquist implemented in a significantly expanded version of the gadget III code, which contains new prescriptions for star formation, supernova feedback, radiative cooling and chemodynamics. We simulate the growth of BHs from an i… Show more

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Cited by 797 publications
(1,113 citation statements)
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References 116 publications
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“…CFHTLenS σ 8 constraints in an otherwise fixed fiducial cosmology, with 3 different nonlinear power spectrum treatments. Also shown is the constraint using TA12 and a prescription for AGN feedback described in Section 3.3 model, which accounts for the presence of black holes and AGN feedback in dark matter halos using the prescription described in Booth & Schaye (2009), is the most realistic of the different OWLS models, since it matches well both the observed optical and X-ray properties of galaxy groups (McCarthy et al (2011)). To test the effect of AGN feedback on the CFHTLenS constraints, we use the matter power spectra 3 derived by van Daalen et al (2011) from the OWLS.…”
Section: Baryonic Feedbackmentioning
confidence: 99%
“…CFHTLenS σ 8 constraints in an otherwise fixed fiducial cosmology, with 3 different nonlinear power spectrum treatments. Also shown is the constraint using TA12 and a prescription for AGN feedback described in Section 3.3 model, which accounts for the presence of black holes and AGN feedback in dark matter halos using the prescription described in Booth & Schaye (2009), is the most realistic of the different OWLS models, since it matches well both the observed optical and X-ray properties of galaxy groups (McCarthy et al (2011)). To test the effect of AGN feedback on the CFHTLenS constraints, we use the matter power spectra 3 derived by van Daalen et al (2011) from the OWLS.…”
Section: Baryonic Feedbackmentioning
confidence: 99%
“…The comparison with the small and large box simulations L12N256 and L50N512 supports box size as a limiting factor in accurate determinations of the SFR function at the highest SFRs. Additional processes that may impact models of the SFR function at high SFRs include feedback from massive black holes (e.g., Di Matteo, Springel, & Hernquist 2005;Booth & Schaye 2009), which we have ignored here, and obscuration by dust (e.g., Cai et al 2014). While we compare to observations of dust-corrected SFRs, there are large systematic uncertainties in the amount of dust as well as its properties, especially at the high redshifts of interest here (e.g., Smit et al 2012;Duncan et al 2014).…”
Section: Dependence On Resolution and Box Sizementioning
confidence: 99%
“…However, like other simulations, the current simulations are not yet doing the most accurate possible job in treating the star formation and feedback processes. For example, the code used here assumes a somewhat high SFR efficiency per free-fall time, it does not follow in detail the formation of molecules and the effect of metallicity on SFR (Krumholz & Dekel 2012), and it does not explicitly include radiative stellar feedback (Murray et al 2010;Krumholz & Dekel 2010;Hopkins et al 2012;Dekel & Krumholz 2013) or AGN feedback (Silk & Rees 1998;Hopkins et al 2006;Ciotti & Ostriker 2007;Booth & Schaye 2009;Cattaneo et al 2009;Fabian 2012;DeGraf et al 2014). Therefore, the early SFR is overestimated, while the suppression of SFR in small galaxies is underestimated, resulting in excessive early star formation prior to z ∼ 3, by a factor of order 2.…”
Section: Simulations With Different Feedback Strengthmentioning
confidence: 99%