| Texto completo | |
| Autor(es): Mostrar menos - |
Quispe-Huaynasi, F.
;
Roig, F.
;
Holanda, N.
;
Loaiza-Tacuri, V.
;
Eleuterio, Romualdo
;
Pereira, C. B.
;
Daflon, S.
;
Placco, V. M.
;
de Oliveira, R. Lopes
;
Sestito, F.
;
Humire, P. K.
;
Fernandes, M. Borges
;
Kanaan, A.
;
de Oliveira, C. Mendes
;
Ribeiro, T.
;
Schoenell, W.
Número total de Autores: 16
|
| Tipo de documento: | Artigo Científico |
| Fonte: | ASTRONOMICAL JOURNAL; v. 169, n. 6, p. 13-pg., 2025-06-02. |
| Resumo | |
Identification of specific stellar populations using photometry for spectroscopic follow-up is a first step to confirm and better understand their nature. In this context, we present an unsupervised machine learning approach to identify candidates for spectroscopic follow-up using data from the Southern Photometric Local Universe Survey (S-PLUS). First, using an anomaly detection technique based on an autoencoder model, we select a large sample of objects (similar to 19,000) whose Spectral Energy Distribution is not well reconstructed by the model after training it on a well-behaved star sample. Then, we apply the t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm to the 66 color measurements from S-PLUS, complemented by information from the SIMBAD database, to identify stellar populations. Our analysis reveals 69 carbon-rich star candidates that, based on their spatial and kinematic characteristics, may belong to the CH or carbon-enhanced metal-poor categories. Among these chemically peculiar candidates, we identify four as likely carbon dwarf stars. We show that it is feasible to identify three primary white-dwarf (WD) populations: WDs with hydrogen-dominated atmospheres, WDs with neutral helium-dominated atmospheres, and the WDs main sequence binaries (WD + MS). Furthermore, by using eROSITA X-ray data, we also highlight the identification of candidates for very active low-mass stars. Finally, we identified a large number of binary systems using the autoencoder model, but did not observe a clear association between the overdensities in the t-SNE map and their orbital properties. (AU) | |
| Processo FAPESP: | 23/14272-4 - Distribuição de energia espectral da galáxia NGC253, uma abordagem de alta resolução com vários comprimentos de onda |
| Beneficiário: | Pedro Kurmi Humire Rodríguez |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |