Filtros : "Astrophysical Journal Supplement Series" "Financiado pelo CNPq" Removido: "ASTROFÍSICA" Limpar

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  • Source: Astrophysical Journal Supplement Series. Unidade: IF

    Assunto: GALÁXIAS

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    • ABNT

      O'DONNELL, J H e LIMA, Marcos Vinicius Borges Teixeira. The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint. Astrophysical Journal Supplement Series, v. 259, n. 1, 2022Tradução . . Disponível em: https://doi.org/10.3847/1538-4365/ac470b. Acesso em: 27 nov. 2025.
    • APA

      O'Donnell, J. H., & Lima, M. V. B. T. (2022). The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint. Astrophysical Journal Supplement Series, 259( 1). doi:10.3847/1538-4365/ac470b
    • NLM

      O'Donnell JH, Lima MVBT. The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint [Internet]. Astrophysical Journal Supplement Series. 2022 ; 259( 1):[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/ac470b
    • Vancouver

      O'Donnell JH, Lima MVBT. The Dark Energy Survey Bright Arcs Survey: Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey 5000 Square Degree Footprint [Internet]. Astrophysical Journal Supplement Series. 2022 ; 259( 1):[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/ac470b
  • Source: Astrophysical Journal Supplement Series. Unidade: IF

    Assunto: GALÁXIAS

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    • ABNT

      TANOGLIDIS, D e SILVA, Michel Aguena da. Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey. Astrophysical Journal Supplement Series, v. 252, n. 2, 2021Tradução . . Disponível em: https://doi.org/10.3847/1538-4365/abca89. Acesso em: 27 nov. 2025.
    • APA

      Tanoglidis, D., & Silva, M. A. da. (2021). Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey. Astrophysical Journal Supplement Series, 252( 2). doi:10.3847/1538-4365/abca89
    • NLM

      Tanoglidis D, Silva MA da. Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey [Internet]. Astrophysical Journal Supplement Series. 2021 ; 252( 2):[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/abca89
    • Vancouver

      Tanoglidis D, Silva MA da. Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey [Internet]. Astrophysical Journal Supplement Series. 2021 ; 252( 2):[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/abca89
  • Source: Astrophysical Journal Supplement Series. Unidade: IF

    Assunto: COSMOLOGIA

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    • ABNT

      SEVILLA-NOARBE, I e SILVA, Michel Aguena da e LIMA, Marcos Vinicius Borges Teixeira. Dark energy survey year 3 results: Photometric data set for cosmology. Astrophysical Journal Supplement Series, v. 254, 2021Tradução . . Disponível em: https://doi.org/10.3847/1538-4365/abeb66. Acesso em: 27 nov. 2025.
    • APA

      Sevilla-Noarbe, I., Silva, M. A. da, & Lima, M. V. B. T. (2021). Dark energy survey year 3 results: Photometric data set for cosmology. Astrophysical Journal Supplement Series, 254. doi:10.3847/1538-4365/abeb66
    • NLM

      Sevilla-Noarbe I, Silva MA da, Lima MVBT. Dark energy survey year 3 results: Photometric data set for cosmology [Internet]. Astrophysical Journal Supplement Series. 2021 ; 254[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/abeb66
    • Vancouver

      Sevilla-Noarbe I, Silva MA da, Lima MVBT. Dark energy survey year 3 results: Photometric data set for cosmology [Internet]. Astrophysical Journal Supplement Series. 2021 ; 254[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/abeb66
  • Source: Astrophysical Journal Supplement Series. Unidade: IF

    Assunto: COSMOLOGIA

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    • ABNT

      ABBOTT, T M C e SILVA, Michel Aguena da e LIMA, Marcos Vinicius Borges Teixeira. The Dark Energy Survey Data Release 2. Astrophysical Journal Supplement Series, v. 255, n. 2, 2021Tradução . . Disponível em: https://doi.org/10.3847/1538-4365/ac00b3. Acesso em: 27 nov. 2025.
    • APA

      Abbott, T. M. C., Silva, M. A. da, & Lima, M. V. B. T. (2021). The Dark Energy Survey Data Release 2. Astrophysical Journal Supplement Series, 255( 2). doi:10.3847/1538-4365/ac00b3
    • NLM

      Abbott TMC, Silva MA da, Lima MVBT. The Dark Energy Survey Data Release 2 [Internet]. Astrophysical Journal Supplement Series. 2021 ; 255( 2):[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/ac00b3
    • Vancouver

      Abbott TMC, Silva MA da, Lima MVBT. The Dark Energy Survey Data Release 2 [Internet]. Astrophysical Journal Supplement Series. 2021 ; 255( 2):[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/ac00b3
  • Source: Astrophysical Journal Supplement Series. Unidade: IF

    Subjects: COSMOLOGIA, GALÁXIAS, LENTES GRAVITACIONAIS

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    • ABNT

      JACOBS, C e LIMA, Marcos Vinicius Borges Teixeira. An Extended Catalog of Galaxy–Galaxy Strong Gravitational Lenses Discovered in DES Using Convolutional Neural Networks. Astrophysical Journal Supplement Series, v. 243, n. 17, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.3847/1538-4365/ab26b6. Acesso em: 27 nov. 2025.
    • APA

      Jacobs, C., & Lima, M. V. B. T. (2019). An Extended Catalog of Galaxy–Galaxy Strong Gravitational Lenses Discovered in DES Using Convolutional Neural Networks. Astrophysical Journal Supplement Series, 243( 17), 1-11. doi:10.3847/1538-4365/ab26b6
    • NLM

      Jacobs C, Lima MVBT. An Extended Catalog of Galaxy–Galaxy Strong Gravitational Lenses Discovered in DES Using Convolutional Neural Networks [Internet]. Astrophysical Journal Supplement Series. 2019 ; 243( 17): 1-11.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/ab26b6
    • Vancouver

      Jacobs C, Lima MVBT. An Extended Catalog of Galaxy–Galaxy Strong Gravitational Lenses Discovered in DES Using Convolutional Neural Networks [Internet]. Astrophysical Journal Supplement Series. 2019 ; 243( 17): 1-11.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3847/1538-4365/ab26b6

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