Extracting the Possible Intrinsic Relation between Radiative Efficiency and Mass of QSOs: a Maximum Likelihood Method and its Application to the SDSS DR7 QSOs
Fupeng Zhang, Youjun Lu

TL;DR
This paper introduces a maximum likelihood method to statistically determine the intrinsic relation between radiative efficiency and black hole mass in QSOs, applying it to SDSS data and discussing implications for black hole growth and evolution.
Contribution
The paper develops a novel maximum likelihood approach to extract the intrinsic radiative efficiency-mass relation from QSO data, addressing systematic uncertainties and survey limitations.
Findings
Strong constraints on the $\epsilon-M_{ullet}$ relation at low redshift.
Contradictory $\epsilon-M_{ullet}$ relations depending on mass estimator used.
Impacts on understanding black hole accretion and growth history.
Abstract
Radiative efficiencies of QSOs and its distribution encode rich information on the evolution of both masses and spins of massive black holes (MBHs) across cosmic time. In this paper, we develop a maximum likelihood method to statistically extract the intrinsic relation between radiative efficiency () and mass () of QSOs from their distribution on the luminosity-(empirically estimated virial) mass plane. By using mock samples, we find that strong constraint can be put on the relation at redshift from uniform QSO samples similar to those in Sloan Digital Sky Survey, and from QSO samples at (or ) if the magnitude limit of the survey can be (or ) magnitude deeper. Applying this method to the SDSS DR7 QSOs with , we find (or…
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