The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system (2021)
- Authors:
- USP affiliated authors: ABRAMO, LUIS RAUL WEBER - 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
GONZÁLEZ DELGADO, Rosa M et al. The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2102.13121.pdf. Acesso em: 18 abr. 2024. , 2021 -
APA
González Delgado, R. M., Silva, C. Q. de A., Abramo, L. R. W., Oliveira, C. L. M. de, Ederoclite, A., Sodre Junior, L., & Coelho, P. R. T. (2021). The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2102.13121.pdf -
NLM
González Delgado RM, Silva CQ de A, Abramo LRW, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system [Internet]. 2021 ;[citado 2024 abr. 18 ] Available from: https://arxiv.org/pdf/2102.13121.pdf -
Vancouver
González Delgado RM, Silva CQ de A, Abramo LRW, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system [Internet]. 2021 ;[citado 2024 abr. 18 ] Available from: https://arxiv.org/pdf/2102.13121.pdf - The miniJPAS survey: star-galaxy classification using machine learning
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- The miniJPAS survey: a preview of the Universe in 56 colours
- The miniJPAS survey: a preview of the Universe in 56 colours
- 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
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