Stellar Occultations in the Era of Data Mining and Modern Regression Models: Using Gaussian Processes to Analyze Light Curves and Improve Predictions

Gaussian process (GP) regression is a nonparametric Bayesian approach that has been used successfully in various astronomical domains, especially in time-domain astronomy. The most common applications are the smoothing of data for interpolation and the detection of periodicities. The ability to crea...

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Bibliografske podrobnosti

Principais autores:	Bastian Knieling, Karsten Schindler, Amanda A. Sickafoose, Michael J. Person, Stephen E. Levine, Alfred Krabbe
Format:	Artigo
Jezik:	Inglês
Izdano:	IOP Publishing 2024-01-01
Serija:	The Planetary Science Journal
Teme:	Stellar occultation Gaussian Processes regression Astronomy data modeling Ephemerides
Online dostop:	https://doi.org/10.3847/PSJ/ad3819
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