The VVV near-IR galaxy catalogue in a Northern part of the Galactic disc

dc.contributor.authorDaza-Perilla, I.V.
dc.contributor.authorSgró, M.A.
dc.contributor.authorBaravalle, L.D.
dc.contributor.authorAlonso, M.V.
dc.contributor.authorVillalon, C.
dc.contributor.authorLares, M.
dc.contributor.authorSoto, M.
dc.contributor.authorCastellón, J. L. Nilo
dc.contributor.authorValotto, C.
dc.contributor.authorCortes, P. Marchant
dc.contributor.authorMinniti, D.
dc.contributor.authorHempel, M.
dc.date.accessioned2023-11-22T15:56:17Z
dc.date.available2023-11-22T15:56:17Z
dc.date.issued2023-09-01
dc.descriptionINDEXACIÓN: SCOPUS.es
dc.description.abstractThe automated identification of extragalactic objects in large surveys provides reliable and reproducible samples of galaxies in less time than procedures involving human interaction. However, regions near the Galactic disc are more challenging due to the dust extinction. We present the methodology for the automatic classification of galaxies and non-galaxies at low Galactic latitude regions using both images and photometric and morphological near-IR data from the VISTA Variables in the Vía Láctea eXtended (VVVX) survey. Using the VVV NIR Galaxy Catalogue (VVV NIRGC), we analyse by statistical methods the most relevant features for galaxy identification. This catalogue was used to train a convolutional neural network with image data and an XGBoost model with both photometric and morphological data and then to generate a data set of extragalactic candidates. This allows us to derive probability catalogues used to analyse the completeness and purity as a function of the configuration parameters and to explore the best combinations of the models. As a test case, we apply this methodology to the Northern disc region of the VVVX survey, obtaining 172 396 extragalactic candidates with probabilities of being galaxies. We analyse the performance of our methodology in the VVV disc, reaching an F1-score of 0.67, a 65 per cent purity, and a 69 per cent completeness. We present the VVV NIRGC: Northern part of the Galactic disc comprising 1003 new galaxies, with probabilities greater than 0.6 for either model, with visual inspection and with only two previously identified galaxies. In the future, we intend to apply this methodology to other areas of the VVVX survey. © 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.es
dc.identifier.citationMonthly Notices of the Royal Astronomical Society, Volume 524, Issue 1, Pages 678 - 694, 1 September 2023es
dc.identifier.doi10.1093/mnras/stad1767
dc.identifier.issn00358711
dc.identifier.urihttps://repositorio.unab.cl/xmlui/handle/ria/54028
dc.language.isoenes
dc.publisherOxford University Presses
dc.subjectgalaxy: generales
dc.subjectmethods: data analysises
dc.subjectmethods: statisticales
dc.titleThe VVV near-IR galaxy catalogue in a Northern part of the Galactic disces
dc.typeArtículoes
Archivos
Bloque original
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
stad1767.pdf
Tamaño:
7.38 MB
Formato:
Adobe Portable Document Format
Descripción:
TEXTO COMPLETO EN INGLÉS
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descripción: