activity
20242026
most citedStellar atmospheric parameters and chemical abundances of about 5 million stars from S-PLUS multi-band photometry

8 citations · 9 across the 3 of their papers we have counts for

collaborators

6 papers

astro-ph.SR20261 cited

A search for new symbiotic stars in the Milky Way: Using machine learning techniques applied to photometric databases

V. Contreras Rojas, M. Jaque Arancibia, C. E. Ferreira Lopes +8

Symbiotic stars (SySts) are interacting binaries composed of a red giant transferring material to a hot compact star, typically a white dwarf. Although only about 300 systems are c…

astro-ph.SR2025

Astrophotometric search for massive stars in the Milky way. Confronting Random Forest predictions with available spectroscopy

N. Monsalves, A. Bayo, M. Jaque Arancibia +4

Massive stars play a significant role in different branches of astronomy, from shaping the processes of star and planet formation to influencing the evolution and chemical enrichme…

astro-ph.GA20248 cited

Stellar atmospheric parameters and chemical abundances of about 5 million stars from S-PLUS multi-band photometry

C. E. Ferreira Lopes, L. A. Gutiérrez-Soto, V. S. Ferreira Alberice +30

Context. Spectroscopic surveys like APOGEE, GALAH, and LAMOST have significantly advanced our understanding of the Milky Way by providing extensive stellar parameters and chemical…

astro-ph.IM2024

La Serena School for Data Science and the Spanish Virtual Observatory Schools: Initiatives Based on Hands on Experience

A. Bayo, V. Mesa, G. Damke +6

The worlds of Data Science (including big and/or federated data, machine learning, etc) and Astrophysics started merging almost two decades ago. For instance, around 2005, internat…

astro-ph.GA2024

A statistical study of lopsided galaxies using random forest

Valentina Fontirroig, Facundo A. Gomez, Marcelo Jaque Arancibia +2

Lopsided galaxies are late-type galaxies with a non-axisymmetric disk due to an uneven distribution of their stellar mass. Despite being a relatively common perturbation, several q…

astro-ph.IM2024

Application of Convolutional Neural Networks to time domain astrophysics. 2D image analysis of OGLE light curves

N. Monsalves, M. Jaque Arancibia, A. Bayo +4

In recent years the amount of publicly available astronomical data has increased exponentially, with a remarkable example being large scale multiepoch photometric surveys. This wea…