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Artigo de periodico
An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3 (2024)
Bom, C R ; Abramo, Luis Raul Weber
Source: Monthly Notices of the Royal Astronomical Society. Unidade: IF
Assunto: GALÁXIAS
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ABNT
BOM, C R e ABRAMO, Luis Raul Weber. An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3. Monthly Notices of the Royal Astronomical Society, v. 528, n. 3, p. 4188–4208, 2024Tradução . . Disponível em: https://doi.org/10.1093/mnras/stad3956. Acesso em: 03 set. 2024.
APA
Bom, C. R., & Abramo, L. R. W. (2024). An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3. Monthly Notices of the Royal Astronomical Society, 528( 3), 4188–4208. doi:10.1093/mnras/stad3956
NLM
Bom CR, Abramo LRW. An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3 [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ; 528( 3): 4188–4208.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stad3956
Vancouver
Bom CR, Abramo LRW. An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3 [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ; 528( 3): 4188–4208.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stad3956
Artigo de periodico
The miniJPAS survey quasar selection (2023)
Martínez-Solaeche, Ginés ; Abramo, Luis Raul Weber ; Silva, Carolina Queiroz de Abreu ; Rodrigues, Natália Villa Nova
Source: Astronomy & Astrophysics. Unidade: IF
Subjects: GALÁXIAS, COSMOLOGIA
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ABNT
MARTÍNEZ-SOLAECHE, Ginés et al. The miniJPAS survey quasar selection. Astronomy & Astrophysics, v. 673, 2023Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202245750. Acesso em: 03 set. 2024.
APA
Martínez-Solaeche, G., Abramo, L. R. W., Silva, C. Q. de A., & Rodrigues, N. V. N. (2023). The miniJPAS survey quasar selection. Astronomy & Astrophysics, 673. doi:10.1051/0004-6361/202245750
NLM
Martínez-Solaeche G, Abramo LRW, Silva CQ de A, Rodrigues NVN. The miniJPAS survey quasar selection [Internet]. Astronomy & Astrophysics. 2023 ; 673[citado 2024 set. 03 ] Available from: https://doi.org/10.1051/0004-6361/202245750
Vancouver
Martínez-Solaeche G, Abramo LRW, Silva CQ de A, Rodrigues NVN. The miniJPAS survey quasar selection [Internet]. Astronomy & Astrophysics. 2023 ; 673[citado 2024 set. 03 ] Available from: https://doi.org/10.1051/0004-6361/202245750
Artigo de periodico
The miniJPAS survey: Cluster and galaxy group detections with AMICO (2023)
Maturi, M; Abramo, Luis Raul Weber
Source: Astronomy & Astrophysics. Unidade: IF
Assunto: GALÁXIAS
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ABNT
MATURI, M e ABRAMO, Luis Raul Weber. The miniJPAS survey: Cluster and galaxy group detections with AMICO. Astronomy & Astrophysics, v. 678, 2023Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202245323. Acesso em: 03 set. 2024.
APA
Maturi, M., & Abramo, L. R. W. (2023). The miniJPAS survey: Cluster and galaxy group detections with AMICO. Astronomy & Astrophysics, 678. doi:10.1051/0004-6361/202245323
NLM
Maturi M, Abramo LRW. The miniJPAS survey: Cluster and galaxy group detections with AMICO [Internet]. Astronomy & Astrophysics. 2023 ; 678[citado 2024 set. 03 ] Available from: https://doi.org/10.1051/0004-6361/202245323
Vancouver
Maturi M, Abramo LRW. The miniJPAS survey: Cluster and galaxy group detections with AMICO [Internet]. Astronomy & Astrophysics. 2023 ; 678[citado 2024 set. 03 ] Available from: https://doi.org/10.1051/0004-6361/202245323
Artigo de periodico
The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data (2023)
Rodrigues, Natália Villa Nova ; Abramo, L. Raul ; Hirata, Nina Sumiko Tomita
Source: Machine Learning: Science and Technology. Unidades: IF, IME
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE DADOS, ESTATÍSTICA
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ABNT
RODRIGUES, Natália Villa Nova e ABRAMO, L. Raul e HIRATA, Nina Sumiko Tomita. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, v. 4, n. artigo 045019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-2153/ad0285. Acesso em: 03 set. 2024.
APA
Rodrigues, N. V. N., Abramo, L. R., & Hirata, N. S. T. (2023). The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, 4( artigo 045019), 1-26. doi:10.1088/2632-2153/ad0285
NLM
Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 set. 03 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
Vancouver
Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 set. 03 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
Artigo de periodico
The miniJPAS survey quasar selection: IV. Classification and redshift estimation with SQUEzE (2023)
Pérez-Ràfols, Ignasi; Rodrigues, Natália Villa Nova ; Abramo, Luis Raul Weber
Source: Astronomy & Astrophysics. Unidade: IF
Assunto: GALÁXIAS
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ABNT
PÉREZ-RÀFOLS, Ignasi e RODRIGUES, Natália Villa Nova e ABRAMO, Luis Raul Weber. The miniJPAS survey quasar selection: IV. Classification and redshift estimation with SQUEzE. Astronomy & Astrophysics, v. 678, 2023Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202347488. Acesso em: 03 set. 2024.
APA
Pérez-Ràfols, I., Rodrigues, N. V. N., & Abramo, L. R. W. (2023). The miniJPAS survey quasar selection: IV. Classification and redshift estimation with SQUEzE. Astronomy & Astrophysics, 678. doi:10.1051/0004-6361/202347488
NLM
Pérez-Ràfols I, Rodrigues NVN, Abramo LRW. The miniJPAS survey quasar selection: IV. Classification and redshift estimation with SQUEzE [Internet]. Astronomy & Astrophysics. 2023 ; 678[citado 2024 set. 03 ] Available from: https://doi.org/10.1051/0004-6361/202347488
Vancouver
Pérez-Ràfols I, Rodrigues NVN, Abramo LRW. The miniJPAS survey quasar selection: IV. Classification and redshift estimation with SQUEzE [Internet]. Astronomy & Astrophysics. 2023 ; 678[citado 2024 set. 03 ] Available from: https://doi.org/10.1051/0004-6361/202347488
Artigo de periodico
Spherical collapse of non-top-hat profiles in the presence of dark energy with arbitrary sound speed (2023)
Batista, Ronaldo Carlotto ; Oliveira, H P de; Abramo, Luis Raul Weber
Source: Journal of Cosmology and Astroparticle Physics. Unidade: IF
Assunto: GALÁXIAS
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ABNT
BATISTA, Ronaldo Carlotto e OLIVEIRA, H P de e ABRAMO, Luis Raul Weber. Spherical collapse of non-top-hat profiles in the presence of dark energy with arbitrary sound speed. Journal of Cosmology and Astroparticle Physics, v. 2023, 2023Tradução . . Disponível em: https://doi.org/10.1088/1475-7516/2023/02/037. Acesso em: 03 set. 2024.
APA
Batista, R. C., Oliveira, H. P. de, & Abramo, L. R. W. (2023). Spherical collapse of non-top-hat profiles in the presence of dark energy with arbitrary sound speed. Journal of Cosmology and Astroparticle Physics, 2023. doi:10.1088/1475-7516/2023/02/037
NLM
Batista RC, Oliveira HP de, Abramo LRW. Spherical collapse of non-top-hat profiles in the presence of dark energy with arbitrary sound speed [Internet]. Journal of Cosmology and Astroparticle Physics. 2023 ; 2023[citado 2024 set. 03 ] Available from: https://doi.org/10.1088/1475-7516/2023/02/037
Vancouver
Batista RC, Oliveira HP de, Abramo LRW. Spherical collapse of non-top-hat profiles in the presence of dark energy with arbitrary sound speed [Internet]. Journal of Cosmology and Astroparticle Physics. 2023 ; 2023[citado 2024 set. 03 ] Available from: https://doi.org/10.1088/1475-7516/2023/02/037
Artigo de periodico
High-fidelity reproduction of central galaxy joint distributions with neural networks (2023)
Rodrigues, Natália Villa Nova ; Santi, Natali Soler Matubaro de ; Dorta, Antonio David Montero ; Abramo, Luis Raul Weber
Source: Monthly Notices of the Royal Astronomical Society. Unidade: IF
Subjects: REDES NEURAIS, GALÁXIAS, COSMOLOGIA
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ABNT
RODRIGUES, Natália Villa Nova et al. High-fidelity reproduction of central galaxy joint distributions with neural networks. Monthly Notices of the Royal Astronomical Society, v. 522, n. 3, p. 3236–3247, 2023Tradução . . Disponível em: https://doi.org/10.1093/mnras/stad1186. Acesso em: 03 set. 2024.
APA
Rodrigues, N. V. N., Santi, N. S. M. de, Dorta, A. D. M., & Abramo, L. R. W. (2023). High-fidelity reproduction of central galaxy joint distributions with neural networks. Monthly Notices of the Royal Astronomical Society, 522( 3), 3236–3247. doi:10.1093/mnras/stad1186
NLM
Rodrigues NVN, Santi NSM de, Dorta ADM, Abramo LRW. High-fidelity reproduction of central galaxy joint distributions with neural networks [Internet]. Monthly Notices of the Royal Astronomical Society. 2023 ; 522( 3): 3236–3247.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stad1186
Vancouver
Rodrigues NVN, Santi NSM de, Dorta ADM, Abramo LRW. High-fidelity reproduction of central galaxy joint distributions with neural networks [Internet]. Monthly Notices of the Royal Astronomical Society. 2023 ; 522( 3): 3236–3247.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stad1186
Artigo de periodico
Mimicking the halo–galaxy connection using machine learning (2022)
Santi, Natali Soler Matubaro de ; Rodrigues, Natália V. N.; Dorta, Antonio D. Montero ; Abramo, L. Raul ; Tucci, Beatriz ; Artale, María Celeste
Source: Monthly Notices of the Royal Astronomical Society. Unidade: IF
Subjects: ASTROFÍSICA, COSMOLOGIA, AGLOMERADOS (GALÁXIA), MATÉRIA ESCURA, ESTRUTURA DO UNIVERSO
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ABNT
SANTI, Natali Soler Matubaro de et al. Mimicking the halo–galaxy connection using machine learning. Monthly Notices of the Royal Astronomical Society, v. 514, n. 2, p. 2463-2478, 2022Tradução . . Disponível em: https://doi.org/10.1093/mnras/stac1469. Acesso em: 03 set. 2024.
APA
Santi, N. S. M. de, Rodrigues, N. V. N., Dorta, A. D. M., Abramo, L. R., Tucci, B., & Artale, M. C. (2022). Mimicking the halo–galaxy connection using machine learning. Monthly Notices of the Royal Astronomical Society, 514( 2), 2463-2478. doi:10.1093/mnras/stac1469
NLM
Santi NSM de, Rodrigues NVN, Dorta ADM, Abramo LR, Tucci B, Artale MC. Mimicking the halo–galaxy connection using machine learning [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 514( 2): 2463-2478.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stac1469
Vancouver
Santi NSM de, Rodrigues NVN, Dorta ADM, Abramo LR, Tucci B, Artale MC. Mimicking the halo–galaxy connection using machine learning [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 514( 2): 2463-2478.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stac1469
Artigo de periodico
Improving cosmological covariance matrices with machine learning (2022)
Santi, Natali Soler Matubaro de ; Abramo, L. Raul
Source: Journal of Cosmology and Astroparticle Physics (JCAP). Unidade: IF
Subjects: ASTROFÍSICA, FÍSICA MATEMÁTICA, COSMOLOGIA, SIMULAÇÃO (ESTATÍSTICA)
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ABNT
SANTI, Natali Soler Matubaro de e ABRAMO, L. Raul. Improving cosmological covariance matrices with machine learning. Journal of Cosmology and Astroparticle Physics (JCAP), v. 2022, n. 9, 2022Tradução . . Disponível em: https://doi.org/10.1088/1475-7516/2022/09/013. Acesso em: 03 set. 2024.
APA
Santi, N. S. M. de, & Abramo, L. R. (2022). Improving cosmological covariance matrices with machine learning. Journal of Cosmology and Astroparticle Physics (JCAP), 2022( 9). doi:10.1088/1475-7516/2022/09/013
NLM
Santi NSM de, Abramo LR. Improving cosmological covariance matrices with machine learning [Internet]. Journal of Cosmology and Astroparticle Physics (JCAP). 2022 ; 2022( 9):[citado 2024 set. 03 ] Available from: https://doi.org/10.1088/1475-7516/2022/09/013
Vancouver
Santi NSM de, Abramo LR. Improving cosmological covariance matrices with machine learning [Internet]. Journal of Cosmology and Astroparticle Physics (JCAP). 2022 ; 2022( 9):[citado 2024 set. 03 ] Available from: https://doi.org/10.1088/1475-7516/2022/09/013
Artigo de periodico
Fisher matrix for multiple tracers: the information in the cross-spectra (2022)
Abramo, Luis Raul Weber ; Ferri, Joao Vitor Dinarte; Tashiro, Ian Lucas
Source: Journal of Cosmology and Astroparticle Physics. Unidade: IF
Subjects: ESPECTROS, GALÁXIAS
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ABNT
ABRAMO, Luis Raul Weber e FERRI, Joao Vitor Dinarte e TASHIRO, Ian Lucas. Fisher matrix for multiple tracers: the information in the cross-spectra. Journal of Cosmology and Astroparticle Physics, v. 4, 2022Tradução . . Disponível em: https://doi.org/10.1088/1475-7516/2022/04/013. Acesso em: 03 set. 2024.
APA
Abramo, L. R. W., Ferri, J. V. D., & Tashiro, I. L. (2022). Fisher matrix for multiple tracers: the information in the cross-spectra. Journal of Cosmology and Astroparticle Physics, 4. doi:10.1088/1475-7516/2022/04/013
NLM
Abramo LRW, Ferri JVD, Tashiro IL. Fisher matrix for multiple tracers: the information in the cross-spectra [Internet]. Journal of Cosmology and Astroparticle Physics. 2022 ;4[citado 2024 set. 03 ] Available from: https://doi.org/10.1088/1475-7516/2022/04/013
Vancouver
Abramo LRW, Ferri JVD, Tashiro IL. Fisher matrix for multiple tracers: the information in the cross-spectra [Internet]. Journal of Cosmology and Astroparticle Physics. 2022 ;4[citado 2024 set. 03 ] Available from: https://doi.org/10.1088/1475-7516/2022/04/013
Artigo de periodico
The miniJPAS survey: stellar atmospheric parameters from 56 optical filters (2022)
Yuan, H-B; Abramo, Luis Raul Weber ; Oliveira, Claudia Lucia Mendes de ; Sodré Júnior, Laerte
Source: Monthly Notices of the Royal Astronomical Society. Unidades: IF, IAG
Assunto: ESTRELAS
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ABNT
YUAN, H-B et al. The miniJPAS survey: stellar atmospheric parameters from 56 optical filters. Monthly Notices of the Royal Astronomical Society, v. 518, n. 2, p. 2018–2033, 2022Tradução . . Disponível em: https://doi.org/10.1093/mnras/stac3155. Acesso em: 03 set. 2024.
APA
Yuan, H. -B., Abramo, L. R. W., Oliveira, C. L. M. de, & Sodré Júnior, L. (2022). The miniJPAS survey: stellar atmospheric parameters from 56 optical filters. Monthly Notices of the Royal Astronomical Society, 518( 2), 2018–2033. doi:10.1093/mnras/stac3155
NLM
Yuan H-B, Abramo LRW, Oliveira CLM de, Sodré Júnior L. The miniJPAS survey: stellar atmospheric parameters from 56 optical filters [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 518( 2): 2018–2033.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stac3155
Vancouver
Yuan H-B, Abramo LRW, Oliveira CLM de, Sodré Júnior L. The miniJPAS survey: stellar atmospheric parameters from 56 optical filters [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 518( 2): 2018–2033.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stac3155
Artigo de periodico
On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 (2021)
Nakazono, Lilianne Mariko Izuti ; Oliveira, C. Mendes de ; Hirata, Nina Sumiko Tomita ; Jeram, Sarik ; Queiroz, C. ; Eikenberry, Stephen ; Gonzalez, Anthony H. ; Abramo, Luis Raul Weber ; Overzier, Roderik ; Espadoto, Mateus ; Martinazzo, Ana Carolina Rodrigues Cavalcante; Sampedro, Laura ; Herpich, Fábio Rafael ; Fernandes, Felipe de Almeida ; Werle, Ariel ; Barbosa, Carlos Eduardo ; Sodre Junior, Laerte ; Lima, E V; Buzzo, Maria Luisa Gomes ; Cortesi, Arianna ; Menendez-Delmestre, Karin ; Akras, Stavros ; Alvarez-Candal, Alvaro ; Lopes, A R; Telles, Eduardo ; Schoenell, William ; Kanaan, Antonio ; Ribeiro, T
Source: Monthly Notices of the Royal Astronomical Society. Unidades: IAG, IME, IF
Subjects: AGLOMERADOS DE GALÁXIAS, QUASARES, APRENDIZADO COMPUTACIONAL
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ABNT
NAKAZONO, Lilianne Mariko Izuti et al. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. Monthly Notices of the Royal Astronomical Society, v. 507, n. 4, p. 5847-5868, 2021Tradução . . Disponível em: https://doi.org/10.1093/mnras/stab1835. Acesso em: 03 set. 2024.
APA
Nakazono, L. M. I., Oliveira, C. M. de, Hirata, N. S. T., Jeram, S., Queiroz, C., Eikenberry, S., et al. (2021). On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. Monthly Notices of the Royal Astronomical Society, 507( 4), 5847-5868. doi:10.1093/mnras/stab1835
NLM
Nakazono LMI, Oliveira CM de, Hirata NST, Jeram S, Queiroz C, Eikenberry S, Gonzalez AH, Abramo LRW, Overzier R, Espadoto M, Martinazzo ACRC, Sampedro L, Herpich FR, Fernandes F de A, Werle A, Barbosa CE, Sodre Junior L, Lima EV, Buzzo MLG, Cortesi A, Menendez-Delmestre K, Akras S, Alvarez-Candal A, Lopes AR, Telles E, Schoenell W, Kanaan A, Ribeiro T. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 507( 4): 5847-5868.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stab1835
Vancouver
Nakazono LMI, Oliveira CM de, Hirata NST, Jeram S, Queiroz C, Eikenberry S, Gonzalez AH, Abramo LRW, Overzier R, Espadoto M, Martinazzo ACRC, Sampedro L, Herpich FR, Fernandes F de A, Werle A, Barbosa CE, Sodre Junior L, Lima EV, Buzzo MLG, Cortesi A, Menendez-Delmestre K, Akras S, Alvarez-Candal A, Lopes AR, Telles E, Schoenell W, Kanaan A, Ribeiro T. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 507( 4): 5847-5868.[citado 2024 set. 03 ] Available from: https://doi.org/10.1093/mnras/stab1835

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