FEADME: Fast Elliptical Accretion Disk Modeling Engine
Nicholas Earl, K. Decker French, Jason T. Hinkle, Yashasvi Moon, Margaret Shepherd, Margaret E. Verrico

TL;DR
FEADME is a GPU-accelerated Python framework that models broad emission lines from accretion disks, enabling large-scale analysis of AGN and TDE spectra to understand disk geometries and kinematics.
Contribution
FEADME introduces a fast, differentiable modeling engine for elliptical accretion disks, facilitating Bayesian inference and population studies of disk properties in galactic nuclei.
Findings
AGN show diverse disk geometries and kinematics.
TDE disks are more circular than AGN disks.
Most spectra favor models with both a disk and broad-line components.
Abstract
We present FEADME (Fast Elliptical Accretion Disk Modeling Engine), a GPU-accelerated Python framework for modeling broad Balmer-line emission using a relativistic elliptical accretion-disk formalism. Leveraging Jax and NumPyro for differentiable forward modeling and efficient Bayesian inference, FEADME enables large-sample, reproducible analyses of disk-dominated emission-line profiles. We apply the framework to 237 double-peaked emitters (DPEs) from the literature and to five tidal disruption events (TDEs) with disk-like H emission, fitting three physically motivated model families per spectrum and selecting the preferred model using approximate leave-one-out (LOO) cross-validation. We find that AGN exhibit a broad, continuous distribution of disk geometries and kinematics, with significant diversity in disk parameters. Most TDE disk parameter distributions are statistically…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Astrophysical Phenomena and Observations · Astronomy and Astrophysical Research
