Machine learning analysis of photometric data from the Dark Energy Survey (2025)
- Authors:
- USP affiliated authors: ABDALLA, ELCIO - IF ; SOUZA, ALEX SANDER DO CARMO - IF ; RIBEIRO, RAFAEL MATHEUS GONÇALVES - IF
- Unidade: IF
- DOI: 10.1093/mnras/staf1341
- Subjects: COSMOLOGIA; MATÉRIA ESCURA
- Keywords: COSMOLOGY; OBSERVATIONS –TECHNIQUES; PHOTOMETRIC –SOFTWARE; MACHINE LEARNING
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Oxford University Press
- Publisher place: Oxford
- Date published: 2025
- Source:
- Título: Monthly Notices of the Royal Astronomical Society
- Volume/Número/Paginação/Ano: Volume 544, Issue 2, December 2025, Pages 1514–1529,
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ABDALLA, Elcio et al. Machine learning analysis of photometric data from the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society, 2025Tradução . . Disponível em: https://doi.org/10.1093/mnras/staf1341. Acesso em: 20 jan. 2026. -
APA
Abdalla, E., Abdalla, F. B., Marins, A., Queiroz, A., Ribeiro, R. M., & Souza, A. S. C. (2025). Machine learning analysis of photometric data from the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society. doi:10.1093/mnras/staf1341 -
NLM
Abdalla E, Abdalla FB, Marins A, Queiroz A, Ribeiro RM, Souza ASC. Machine learning analysis of photometric data from the Dark Energy Survey [Internet]. Monthly Notices of the Royal Astronomical Society. 2025 ;[citado 2026 jan. 20 ] Available from: https://doi.org/10.1093/mnras/staf1341 -
Vancouver
Abdalla E, Abdalla FB, Marins A, Queiroz A, Ribeiro RM, Souza ASC. Machine learning analysis of photometric data from the Dark Energy Survey [Internet]. Monthly Notices of the Royal Astronomical Society. 2025 ;[citado 2026 jan. 20 ] Available from: https://doi.org/10.1093/mnras/staf1341 - The generalized second law of thermodynamics in the accelerating universe
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Informações sobre o DOI: 10.1093/mnras/staf1341 (Fonte: oaDOI API)
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