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arxiv: 1810.06559 · v1 · pith:CUASTFO2new · submitted 2018-10-15 · 🌌 astro-ph.IM · astro-ph.EP· astro-ph.SR

STARRY: Analytic Occultation Light Curves

classification 🌌 astro-ph.IM astro-ph.EPastro-ph.SR
keywords curveslightstarryanalyticoccultationbodycomputesmagnitude
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We derive analytic, closed form, numerically stable solutions for the total flux received from a spherical planet, moon or star during an occultation if the specific intensity map of the body is expressed as a sum of spherical harmonics. Our expressions are valid to arbitrary degree and may be computed recursively for speed. The formalism we develop here applies to the computation of stellar transit light curves, planetary secondary eclipse light curves, and planet-planet/planet-moon occultation light curves, as well as thermal (rotational) phase curves. In this paper we also introduce STARRY, an open-source package written in C++ and wrapped in Python that computes these light curves. The algorithm in STARRY is six orders of magnitude faster than direct numerical integration and several orders of magnitude more precise. STARRY also computes analytic derivatives of the light curves with respect to all input parameters for use in gradient-based optimization and inference, such as Hamiltonian Monte Carlo (HMC), allowing users to quickly and efficiently fit observed light curves to infer properties of a celestial body's surface map.

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