activity
20152022
most citedThe miniJPAS survey: a preview of the Universe in 56 colours

119 citations · 295 across the 8 of their papers we have counts for

collaborators

8 papers

astro-ph.GA2022★ 10 cited

J-PLUS DR3: Galaxy-Star-Quasar classification

R. von Marttens, V. Marra, M. Quartin +20

The Javalambre Photometric Local Universe Survey (J-PLUS) is a 12-band photometric survey using the 83-cm JAST telescope. Data Release 3 includes 47.4 million sources. J-PLUS DR3 o…

astro-ph.IM2021★ 24 cited

J-PLUS: Support Vector Machine Applied to STAR-GALAXY-QSOClassification

Cunshi Wang, Yu Bai, C. López-Sanjuan +19

Context. In modern astronomy, machine learning has proved to be efficient and effective to mine the big data from the newesttelescopes. Spectral surveys enable us to characterize m…

astro-ph.GA2021★ 44 cited

The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system

R. M. González Delgado, L. A. Díaz-García, A. de Amorim +39

J-PAS will soon start imaging 8000 deg2 of the northern sky with its unique set of 56 filters (R 60). Before, we observed 1 deg2 on the AEGIS field with an interim camera wi…

astro-ph.GA2020★ 20 cited

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.CO2020★ 119 cited

The miniJPAS survey: a preview of the Universe in 56 colours

S. Bonoli, A. Marín-Franch, J. Varela +166

The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will soon start to scan thousands of square degrees of the northern extragalactic sky with a unique…

astro-ph.IM2020★ 55 cited

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★ 18 cited

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…

gr-qc2015★ 5 cited

Cosmology and stellar equilibrium using Newtonian hydrodynamics with general relativistic pressure

P. O. Baqui, J. C. Fabris, O. F. Piattella

We revisit the analysis made by Hwang and Noh [JCAP 1310 (2013)] aiming the construction of a Newtonian set of equations incorporating pressure effects typical of the General Relat…