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MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope

Modern automated telescopes allow to capture astronomical images in a reproducible way. During the MILAN research project (MachIne Learning for AstroNomy), we have observed deep sky with a Stellina observation station for twelve months from the Luxembourg Greater Region. Thus, we have captured raw i...

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Detalles Bibliográficos
Autores principales: Parisot, Olivier, Hitzelberger, Patrik, Bruneau, Pierrick, Krebs, Gilles, Destruel, Christophe, Vandame, Benoît
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293918/
https://www.ncbi.nlm.nih.gov/pubmed/37383774
http://dx.doi.org/10.1016/j.dib.2023.109133
Descripción
Sumario:Modern automated telescopes allow to capture astronomical images in a reproducible way. During the MILAN research project (MachIne Learning for AstroNomy), we have observed deep sky with a Stellina observation station for twelve months from the Luxembourg Greater Region. Thus, we have captured raw images of more than 188 deep sky objects visible from the Northern Hemisphere (galaxies, stars clusters, nebulae, etc.), We have compiled and published this data as the MILAN Sky Survey dataset, allowing interested researchers, industry practitioners and citizens to reuse it.