Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Natália V N Rodrigues"'
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 4, p 045019 (2023)
Errors in measurements are key to weighting the value of data, but are often neglected in machine learning (ML). We show how convolutional neural networks (CNNs) are able to learn about the context and patterns of signal and noise, leading to improve
Externí odkaz:
https://doaj.org/article/1c9e036057d74ab7a1db9b3f611006aa
The relationship between galaxies and haloes is central to the description of galaxy formation, and a fundamental step towards extracting precise cosmological information from galaxy maps. However, this connection involves several complex processes t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0573733e4334b3747d16d11922a9e952
http://arxiv.org/abs/2301.06398
http://arxiv.org/abs/2301.06398
Autor:
Natália V N Rodrigues, L Raul Abramo, Carolina Queiroz, Ginés Martínez-Solaeche, Ignasi Pérez-Ràfols, Silvia Bonoli, Jonás Chaves-Montero, Matthew M Pieri, Rosa M González Delgado, Sean S Morrison, Valerio Marra, Isabel Márquez, A Hernán-Caballero, L A Díaz-García, Narciso Benítez, A Javier Cenarro, Renato A Dupke, Alessandro Ederoclite, Carlos López-Sanjuan, Antonio Marín-Franch, Claudia Mendes de Oliveira, Mariano Moles, Laerte Sodré, Jesús Varela, Héctor Vázquez Ramió, Keith Taylor
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, 2023, 520 (3), pp.3494-3509. ⟨10.1093/mnras/stac2836⟩
Monthly Notices of the Royal Astronomical Society, 2023, 520 (3), pp.3494-3509. ⟨10.1093/mnras/stac2836⟩
Astrophysical surveys rely heavily on the classification of sources as stars, galaxies or quasars from multi-band photometry. Surveys in narrow-band filters allow for greater discriminatory power, but the variety of different types and redshifts of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e0a2cf8d02a1a4d9a6999a9922fa4b1
https://hal.science/hal-04012294
https://hal.science/hal-04012294
Autor:
Natalí S M de Santi, Natália V N Rodrigues, Antonio D Montero-Dorta, L Raul Abramo, Beatriz Tucci, M Celeste Artale
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Elucidating the connection between the properties of galaxies and the properties of their hosting haloes is a key element in galaxy formation. When the spatial distribution of objects is also taken under consideration, it becomes very relevant for co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8233e6e9c6346fe94ac95290d31c9d66
Autor:
Carolina Queiroz, L Raul Abramo, Natália V N Rodrigues, Ignasi Pérez-Ràfols, Ginés Martínez-Solaeche, Antonio Hernán-Caballero, Carlos Hernández-Monteagudo, Alejandro Lumbreras-Calle, Matthew M Pieri, Sean S Morrison, Silvia Bonoli, Jonás Chaves-Montero, Ana L Chies-Santos, L A Díaz-García, Alberto Fernandez-Soto, Rosa M González Delgado, Jailson Alcaniz, Narciso Benítez, A Javier Cenarro, Tamara Civera, Renato A Dupke, Alessandro Ederoclite, Carlos López-Sanjuan, Antonio Marín-Franch, Claudia Mendes de Oliveira, Mariano Moles, David Muniesa, Laerte Sodré, Keith Taylor, Jesús Varela, Héctor Vázquez Ramió
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, 2023, 520 (3), pp.3476-3493. ⟨10.1093/mnras/stac2962⟩
Monthly Notices of the Royal Astronomical Society, 2023, 520 (3), pp.3476-3493. ⟨10.1093/mnras/stac2962⟩
In this series of papers, we employ several machine learning (ML) methods to classify the point-like sources from the miniJPAS catalogue, and identify quasar candidates. Since no representative sample of spectroscopically confirmed sources exists at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ae2e8f72c34b0ad7c5b25be1945e616