PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 26, 2017Monthly Notices of the Royal Astronomical Society111 citationsOpen Access

Linking black hole growth with host galaxies: the accretion–stellar mass relation and its cosmic evolution

View Full Paper
GYGuang YangWBW. N. BrandtFVFabio Vito

Key Points

Key points are not available for this paper at this time.

Abstract

Previous studies suggest that the growth of supermassive black holes (SMBHs) may be fundamentally related to host-galaxy stellar mass (M ). To investigate this SMBH growth-M relation in detail, we calculate long-term SMBH accretion rate as a function of M and redshift BHAR(M , z) over ranges of log (M /M ) = 9.5-12 and z = 0.4-4. Our BHAR(M , z) is constrained by high-quality survey data (GOODS-South, GOODS-North and COSMOS), and by the stellar mass function and the X-ray luminosity function. At a given M , BHAR is higher at high redshift. This redshift dependence is stronger in more massive systems for log (M /M ) 11.5, BHAR is three decades higher at z = 4 than at z = 0.5, possibly due to AGN feedback. Our results indicate that the ratio between BHAR and average star formation rate (SFR) rises towards high M at a given redshift. This BHAR/SFR dependence on M does not support the scenario that SMBH and galaxy growth are in lockstep. We calculate SMBH mass history M BH (z) based on our BHAR(M , z) and the M (z) from the literature, and find that the M BH -M relation has weak redshift evolution since z 2. The M BH /M ratio is higher towards massive galaxies: it rises from 1/5000 at log M 10.5 to 1/500 at log M 11.2. Our predicted M BH /M ratio at high M is similar to that observed in local giant ellipticals, suggesting that SMBH growth from mergers is unlikely to dominate over growth from accretion.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yang et al. (2017) studied this question.

synapsesocial.com/papers/6a87b4007d1a7154c5015309https://doi.org/10.1093/mnras/stx2805
Ask AI
Helpful
Bookmark
Share
View Full Paper