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Artigo de periodico
How many kilonovae can be found in past, present, and future survey data sets? (2018)
Scolnic, D.; Lima, Marcos Vinicius Borges Teixeira
Source: Astrophysical Journal Letters. Unidade: IF
Subjects: GALÁXIAS, CLUSTERS, MATÉRIA ESCURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCOLNIC, D. e LIMA, Marcos Vinicius Borges Teixeira. How many kilonovae can be found in past, present, and future survey data sets?. Astrophysical Journal Letters, v. 852, n. ja 2018, p. L3, 2018Tradução . . Disponível em: https://doi.org/10.3847/2041-8213/aa9d82. Acesso em: 16 ago. 2024.
APA
Scolnic, D., & Lima, M. V. B. T. (2018). How many kilonovae can be found in past, present, and future survey data sets? Astrophysical Journal Letters, 852( ja 2018), L3. doi:10.3847/2041-8213/aa9d82
NLM
Scolnic D, Lima MVBT. How many kilonovae can be found in past, present, and future survey data sets? [Internet]. Astrophysical Journal Letters. 2018 ; 852( ja 2018): L3.[citado 2024 ago. 16 ] Available from: https://doi.org/10.3847/2041-8213/aa9d82
Vancouver
Scolnic D, Lima MVBT. How many kilonovae can be found in past, present, and future survey data sets? [Internet]. Astrophysical Journal Letters. 2018 ; 852( ja 2018): L3.[citado 2024 ago. 16 ] Available from: https://doi.org/10.3847/2041-8213/aa9d82
Relatorio tecnico
How many kilonovae can be found in past, present, and future survey datastes? (2017)
Scolnic, D.; Lima, Marcos Vinicius Borges Teixeira
Unidade: IF
Subjects: GALÁXIAS, COSMOLOGIA, ENERGIA ESCURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCOLNIC, D. e LIMA, Marcos Vinicius Borges Teixeira. How many kilonovae can be found in past, present, and future survey datastes?. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/abs/1710.05845. Acesso em: 16 ago. 2024. , 2017
APA
Scolnic, D., & Lima, M. V. B. T. (2017). How many kilonovae can be found in past, present, and future survey datastes? São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/abs/1710.05845
NLM
Scolnic D, Lima MVBT. How many kilonovae can be found in past, present, and future survey datastes? [Internet]. 2017 ;[citado 2024 ago. 16 ] Available from: https://arxiv.org/abs/1710.05845
Vancouver
Scolnic D, Lima MVBT. How many kilonovae can be found in past, present, and future survey datastes? [Internet]. 2017 ;[citado 2024 ago. 16 ] Available from: https://arxiv.org/abs/1710.05845
Relatorio tecnico
Galaxies in X-ray selected clusters and groups in dark energy survey data II: hierarchical bayesian modeling of red-sequence galaxy luminosity function (2017)
Scolnic, D.; Lima, Marcos Vinicius Borges Teixeira
Unidade: IF
Subjects: GALÁXIAS, COSMOLOGIA, ENERGIA ESCURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCOLNIC, D. e LIMA, Marcos Vinicius Borges Teixeira. Galaxies in X-ray selected clusters and groups in dark energy survey data II: hierarchical bayesian modeling of red-sequence galaxy luminosity function. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/abs/1710.05908. Acesso em: 16 ago. 2024. , 2017
APA
Scolnic, D., & Lima, M. V. B. T. (2017). Galaxies in X-ray selected clusters and groups in dark energy survey data II: hierarchical bayesian modeling of red-sequence galaxy luminosity function. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/abs/1710.05908
NLM
Scolnic D, Lima MVBT. Galaxies in X-ray selected clusters and groups in dark energy survey data II: hierarchical bayesian modeling of red-sequence galaxy luminosity function [Internet]. 2017 ;[citado 2024 ago. 16 ] Available from: https://arxiv.org/abs/1710.05908
Vancouver
Scolnic D, Lima MVBT. Galaxies in X-ray selected clusters and groups in dark energy survey data II: hierarchical bayesian modeling of red-sequence galaxy luminosity function [Internet]. 2017 ;[citado 2024 ago. 16 ] Available from: https://arxiv.org/abs/1710.05908

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