An Open-Source Gaussian Beamlet Decomposition Tool for Modeling Astronomical Telescopes
Jaren N. Ashcraft, Ewan S. Douglas

TL;DR
This paper introduces an open-source Python tool implementing Gaussian Beamlet Decomposition for efficient physical optics modeling of large, complex astronomical telescopes, enabling faster simulations for high-contrast imaging applications.
Contribution
It presents a new open-source GBD software that reduces computational costs and models misalignments, advancing physical optics simulations for segmented-aperture telescopes.
Findings
GBD offers significant runtime advantages over Fresnel propagators.
The tool accurately models physical optics phenomena including Poisson's spot.
It facilitates efficient simulation of complex, many-element telescope systems.
Abstract
In the pursuit of directly imaging exoplanets, the high-contrast imaging community has developed a multitude of tools to simulate the performance of coronagraphs on segmented-aperture telescopes. As the scale of the telescope increases and science cases move toward shorter wavelengths, the required physical optics propagation to optimize high-contrast imaging instruments becomes computationally prohibitive. Gaussian Beamlet Decomposition (GBD) is an alternative method of physical optics propagation that decomposes an arbitrary wavefront into paraxial rays. These rays can be propagated expeditiously using ABCD matrices, and converted into their corresponding Gaussian beamlets to accurately model physical optics phenomena without the need of diffraction integrals. The GBD technique has seen recent development and implementation in commercial software (e.g. FRED, CODE V, ASAP) but appears…
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