A Stochastic Model for the Luminosity Fluctuations of Accreting Black Holes
Brandon C. Kelly (CfA), Malgorzata Sobolewska (CfA), Aneta, Siemiginowska (CfA)

TL;DR
This paper introduces a new stochastic model for black hole lightcurve fluctuations, enabling accurate parameter estimation and revealing correlations between black hole mass and variability characteristics across X-ray and optical observations.
Contribution
The paper presents a novel stochastic modeling approach that efficiently estimates parameters from irregularly sampled lightcurves, linking variability time scales to black hole mass with high precision.
Findings
Good approximation of galactic black hole X-ray lightcurves
Detection of time scale correlations with black hole mass in AGN
Optical PSDs often flatter than 1/f^2
Abstract
In this work we have developed a new stochastic model for the fluctuations in lightcurves of accreting black holes. The model is based on a linear combination of stochastic processes and is also the solution to the linear diffusion equation perturbed by a spatially correlated noise field. This allows flexible modeling of the power spectral density (PSD), and we derive the likelihood function for the process, enabling one to estimate the parameters of the process, including break frequencies in the PSD. Our statistical technique is computationally efficient, unbiased by aliasing and red noise leak, and fully accounts for irregular sampling and measurement errors. We show that our stochastic model provides a good approximation to the X-ray lightcurves of galactic black holes, and the optical and X-ray lightcurves of AGN. We use the estimated time scales of our stochastic model to recover…
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Taxonomy
TopicsAdvanced Statistical Methods and Models · Statistics Education and Methodologies · Statistical and numerical algorithms
