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...

Description complète

Détails bibliographiques

Auteurs principaux:	Bradley D. Hutchinson, Catherine A. Pilachowski, Christian I. Johnson
Format:	Artigo
Langue:	Inglês
Publié:	IOP Publishing 2025-01-01
Collection:	The Astronomical Journal
Sujets:	Interdisciplinary astronomy Astroinformatics Astronomy data analysis Neural networks Stellar photometry Sky surveys
Accès en ligne:	https://doi.org/10.3847/1538-3881/adf437
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!