TY - JOUR
T1 - Supermassive black holes in cosmological simulations I: MBH − M⋆ relation and black hole mass function
AU - Habouzit, Melanie
AU - Li, Yuan
AU - Somerville, Rachel S.
AU - Genel, Shy
AU - Pillepich, Annalisa
AU - Volonteri, Marta
AU - Davé, Romeel
AU - Rosas-Guevara, Yetli
AU - McAlpine, Stuart
AU - Peirani, Sébastien
AU - Hernquist, Lars
AU - Anglés-Alcázar, Daniel
AU - Reines, Amy
AU - Bower, Richard
AU - Dubois, Yohan
AU - Nelson, Dylan
AU - Pichon, Christophe
AU - Vogelsberger, Mark
N1 - Published version - MNRAS
PY - 2021/5/1
Y1 - 2021/5/1
N2 - The past decade has seen significant progress in understanding galaxy
formation and evolution using large-scale cosmological simulations.
While these simulations produce galaxies in overall good agreement with
observations, they employ different sub-grid models for galaxies and
supermassive black holes (BHs). We investigate the impact of the
sub-grid models on the BH mass properties of the Illustris, TNG100,
TNG300, Horizon-AGN, EAGLE, and SIMBA simulations, focusing on the MBH − M⋆ relation and the BH mass function. All simulations predict tight MBH − M⋆ relations, and struggle to produce BHs of MBH⩽107.5M⊙ in galaxies of M⋆∼1010.5−1011.5M⊙. While the time evolution of the mean MBH − M⋆ relation is mild (ΔMBH⩽1dex for 0 ⩽z⩽
5) for all the simulations, its linearity (shape) and normalization
varies from simulation to simulation. The strength of SN feedback has a
large impact on the linearity and time evolution for M⋆⩽1010.5M⊙.
We find that the low-mass end is a good discriminant of the simulation
models, and highlights the need for new observational constraints. At
the high-mass end, strong AGN feedback can suppress the time evolution
of the relation normalization. Compared with observations of the local
Universe, we find an excess of BHs with MBH⩾109M⊙ in most of the simulations. The BH mass function is dominated by efficiently accreting BHs (log10fEdd⩾−2)
at high redshifts, and transitions progressively from the high-mass to
the low-mass end to be governed by inactive BHs. The transition time and
the contribution of active BHs are different among the simulations, and
can be used to evaluate models against observations.
AB - The past decade has seen significant progress in understanding galaxy
formation and evolution using large-scale cosmological simulations.
While these simulations produce galaxies in overall good agreement with
observations, they employ different sub-grid models for galaxies and
supermassive black holes (BHs). We investigate the impact of the
sub-grid models on the BH mass properties of the Illustris, TNG100,
TNG300, Horizon-AGN, EAGLE, and SIMBA simulations, focusing on the MBH − M⋆ relation and the BH mass function. All simulations predict tight MBH − M⋆ relations, and struggle to produce BHs of MBH⩽107.5M⊙ in galaxies of M⋆∼1010.5−1011.5M⊙. While the time evolution of the mean MBH − M⋆ relation is mild (ΔMBH⩽1dex for 0 ⩽z⩽
5) for all the simulations, its linearity (shape) and normalization
varies from simulation to simulation. The strength of SN feedback has a
large impact on the linearity and time evolution for M⋆⩽1010.5M⊙.
We find that the low-mass end is a good discriminant of the simulation
models, and highlights the need for new observational constraints. At
the high-mass end, strong AGN feedback can suppress the time evolution
of the relation normalization. Compared with observations of the local
Universe, we find an excess of BHs with MBH⩾109M⊙ in most of the simulations. The BH mass function is dominated by efficiently accreting BHs (log10fEdd⩾−2)
at high redshifts, and transitions progressively from the high-mass to
the low-mass end to be governed by inactive BHs. The transition time and
the contribution of active BHs are different among the simulations, and
can be used to evaluate models against observations.
KW - astro-ph.GA
U2 - 10.1093/mnras/stab496
DO - 10.1093/mnras/stab496
M3 - Article
VL - 503
SP - 1940
EP - 1975
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
SN - 0035-8711
IS - 2
ER -