The miniJPAS survey: a preview of the Universe in 56 colours (2020)
- Authors:
- USP affiliated authors: ABRAMO, LUIS RAUL WEBER - IF ; ABDALLA, ELCIO - IF ; EDEROCLITE, ALESSANDRO - IAG ; OLIVEIRA, CLAUDIA LUCIA MENDES DE - IAG ; SODRE JUNIOR, LAERTE - IAG ; COELHO, PAULA RODRIGUES TEIXEIRA - IAG ; SILVA, CAROLINA QUEIROZ DE ABREU - IF
- Unidades: IF; IAG
- Subjects: COSMOLOGIA; ASTROFÍSICA; GALÁXIAS; FOTÔMETROS
- Agências de fomento:
- Language: Inglês
- Imprenta:
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ABNT
BONOLI, S et al. The miniJPAS survey: a preview of the Universe in 56 colours. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2007.01910.pdf. Acesso em: 30 abr. 2024. , 2020 -
APA
Bonoli, S., Silva, C. Q. de A., Abramo, L. R. W., Abdalla, E., Oliveira, C. L. M. de, Ederoclite, A., et al. (2020). The miniJPAS survey: a preview of the Universe in 56 colours. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2007.01910.pdf -
NLM
Bonoli S, Silva CQ de A, Abramo LRW, Abdalla E, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: a preview of the Universe in 56 colours [Internet]. 2020 ;[citado 2024 abr. 30 ] Available from: https://arxiv.org/pdf/2007.01910.pdf -
Vancouver
Bonoli S, Silva CQ de A, Abramo LRW, Abdalla E, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: a preview of the Universe in 56 colours [Internet]. 2020 ;[citado 2024 abr. 30 ] Available from: https://arxiv.org/pdf/2007.01910.pdf - The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system
- The miniJPAS survey: star-galaxy classification using machine learning
- The miniJPAS survey: star-galaxy classification using machine learning
- The miniJPAS survey: Photometric redshift catalogue
- The mini JPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system
- The miniJPAS survey: Identification and characterization of the emission line galaxies down to z < 0.35 in the AEGIS field
- J-PAS: forecasts on dark energy and modi ed gravity theories
- J-PAS: Measuring emission lines with artificial neural networks
- Dissecting quasars with the J-PAS narrow-band photometric survey
- J-PLUS: Detecting and studying extragalactic globular clusters. The case of NGC 1023?
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