Accretion Disc Time Lag Distributions: Applying CREAM to Simulated AGN Light Curves
David Starkey, Keith Horne, Carolin Villforth

TL;DR
This paper introduces CREAM, a new MCMC-based method to model and analyze time delays in AGN light curves caused by accretion disc reprocessing, enabling estimation of disc parameters from synthetic data.
Contribution
CREAM is a novel approach that models AGN continuum variations using a lamp post model and infers disc parameters and driving light curves from simulated observations.
Findings
CREAM accurately recovers disc inclination within 5 degrees at high SNR.
CREAM estimates the product of black hole mass and accretion rate with 0.04 dex precision.
The method performs well on synthetic light curves with realistic observational noise.
Abstract
Active Galactic Nuclei (AGN) vary in their brightness across all wavelengths. Moreover, longer wavelength ultraviolet - optical continuum light curves appear to be delayed with respect to shorter wavelength light curves. A simple way to model these delays is by assuming thermal reprocessing of a variable point source (a lamp post) by a blackbody accretion disc. We introduce a new method, CREAM (\textbf{C}ontinuum \textbf{RE}processed \textbf{A}GN \textbf{M}arkov Chain Monte Carlo), that models continuum variations using this lamp post model. The disc light curves lag the lamp post emission with a time delay distribution sensitive to the disc temperature-radius profile and inclination. We test CREAM's ability to recover both inclination and product of black hole mass and accretion rate , and show that the code is also able to infer the shape of the driving light curve. CREAM is…
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