3 papers
astro-ph.GA2020
J-PAS: Measuring emission lines with artificial neural networks
G. Martínez-Solaeche, R. M. González Delgado, R. García-Benito +27
Throughout this paper we present a new method to detect and measure emission lines in J-PAS up to . J-PAS will observe ~deg of the northern sky in the upcoming…
astro-ph.IM2020
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui, V. Marra, L. Casarini +31
Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…
gr-qc2019
Neutron star masses in -gravity
Fulvio Sbisà, Pedro O. Baqui, Tays Miranda +2
We address the issue of the existence of inequivalent definitions of gravitational mass in -gravity. We present several definitions of gravitational mass, and discuss the fo…