Modeling the Dust Properties of z ~ 6 Quasars with ART^2 -- All-wavelength Radiative Transfer with Adaptive Refinement Tree
Yuexing Li, Philip F. Hopkins, Lars Hernquist, Douglas P. Finkbeiner,, Thomas J. Cox (Harvard/CfA), Volker Springel (MPA), Linhua Jiang, Xiaohui Fan, (Arizona), Naoki Yoshida (Nagoya)

TL;DR
This study models the dust properties of z ~ 6 quasars using advanced radiative transfer simulations, revealing that merger-driven starbursts are essential for their observed dust characteristics and evolution.
Contribution
It introduces the ART^2 radiative transfer code to simulate dust emission in high-redshift quasars, linking their dust properties to merger-driven star formation and AGN feedback.
Findings
Reproduces the SED and dust properties of SDSS J1148+5251.
Shows evolution from cold to warm ULIRG due to feedback.
Supports merger-driven origin and starburst-to-quasar evolution hypothesis.
Abstract
The detection of large quantities of dust in z ~ 6 quasars by infrared and radio surveys presents puzzles for the formation and evolution of dust in these early systems. Previously (Li et al. 2007), we showed that luminous quasars at z > 6 can form through hierarchical mergers of gas-rich galaxies. Here, we calculate the dust properties of simulated quasars and their progenitors using a three-dimensional Monte Carlo radiative transfer code, ART^2 -- All-wavelength Radiative Transfer with Adaptive Refinement Tree. ART^2 incorporates a radiative equilibrium algorithm for dust emission, an adaptive grid for inhomogeneous density, a multiphase model for the ISM, and a supernova-origin dust model. We reproduce the SED and dust properties of SDSS J1148+5251, and find that the infrared emission are closely associated with the formation and evolution of the quasar host. The system evolves from…
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.
