A Wavelength-aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys

Observational astronomy has undergone a significant transformation driven by large-scale surveys such as the Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) survey, the Sloan Digital Sky Survey, and the Gaia Mission. These programs yield large, complex data sets that pose significa...

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Detalles Bibliográficos

Principais autores:	Bradley D. Hutchinson, Catherine A. Pilachowski, Christian I. Johnson
Formato:	Artigo
Idioma:	Inglês
Publicado:	IOP Publishing 2025-01-01
Series:	The Astronomical Journal
Assuntos:	Interdisciplinary astronomy Astroinformatics Astronomy data analysis Neural networks Stellar photometry Sky surveys
Acceso en liña:	https://doi.org/10.3847/1538-3881/adf437
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