1 code implementation • 2 Feb 2021 • Rodrigo Luger, Daniel Foreman-Mackey, Christina Hedges
In this note we present the starry_process code, which implements an interpretable Gaussian process (GP) for modeling variability in stellar light curves.
Gaussian Processes Time Series Analysis Solar and Stellar Astrophysics Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
no code implementations • 29 Jan 2021 • Rodrigo Luger, Daniel Foreman-Mackey, Christina Hedges, David W. Hogg
The goal of this paper is twofold: (1) to explore the various degeneracies affecting the stellar light curve "inversion" problem and their effect on what can and cannot be learned from a stellar surface given unresolved photometric measurements; and (2) to motivate ensemble analyses of the light curves of many stars at once as a powerful data-driven alternative to common priors adopted in the literature.
Time Series Analysis Solar and Stellar Astrophysics Instrumentation and Methods for Astrophysics