On the radiative efficiencies, Eddington ratios, and duty cycles of luminous high-redshift quasars
Francesco Shankar (1), Martin Crocce (2), Jordi Miralda-Escude'(2,3),, Pablo Fosalba (2), and David H. Weinberg (1) ((1) The Ohio State University,, (2) Institut de Ciencies de l'Espai, IEEC-CSIC/ICREA, (3) Institucio', Catalana de Recerca i Estudis Avancats)

TL;DR
This study models the radiative efficiency, Eddington ratio, and duty cycle of high-redshift quasars using luminosity functions and clustering data, revealing high efficiencies and duty cycles that suggest rapid evolution of luminous quasars at early cosmic times.
Contribution
It introduces a comprehensive model linking black hole growth, halo properties, and quasar clustering to explain high-redshift quasar observations, emphasizing high efficiency and duty cycles.
Findings
High radiative efficiency > 0.17 for 25
High duty cycles P_0 0.2 to 0.9 across redshifts
Rapid decline in luminous quasars beyond z>7
Abstract
We investigate the characteristic radiative efficiency \epsilon, Eddington ratio \lambda, and duty cycle P_0 of high-redshift active galactic nuclei (AGN), drawing on measurements of the AGN luminosity function at z=3-6 and, especially, on recent measurements of quasar clustering at z=3-4.5 from the Sloan Digital Sky Survey. The free parameters of our models are \epsilon, \lambda, and the normalization, scatter, and redshift evolution of the relation between black hole mass \mbh and halo virial velocity V_vir. We compute the luminosity function from the implied growth of the black hole mass function and the quasar correlation length from the bias of the host halos. We test our adopted formulae for the halo mass function and halo bias against measurements from the large N-body simulation developed by the MICE collaboration. The strong clustering of AGNs observed at z=3 and, especially,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
