1 citations · 1 across the 1 of their papers we have counts for
6 papers
J-PLUS: The stellar mass function of quiescent and star-forming galaxies at 0.05 <= z <= 0.2
F. D. Arizo-Borillo, C. Lopez-Sanjuan, I. Pintos-Castro +22
Aims. We derive the stellar mass function (SMF) of quiescent and star-forming galaxies at z <= 0.2 using 12-band optical photometry from the third data release (DR3) of the Javalam…
J-PLUS: Understanding outlier white dwarfs in the third data release via dimensionality reduction
C. López-Sanjuan, P. -E. Tremblay, A. del Pino +20
We present the white dwarf catalog derived from the third data release of the Javalambre Photometric Local Universe Survey (J-PLUS DR3), which covers 3284 deg2 using 12 optical fil…
Spatially resolved stellar populations and emission lines properties in nearby galaxies with J-PLUS -- I. Method and first results for the M101 group
J. Thainá-Batista, R. Cid Fernandes, R. M. González Delgado +20
Spatially resolved maps of stellar populations and nebular emission are key tools for understanding the physical properties and evolutionary stages of galaxies. We aim to character…
The miniJPAS Survey: The radial distribution of star formation rates in faint X-ray active galactic nuclei
Nischal Acharya, Silvia Bonoli, Mara Salvato +35
We study the impact of black hole nuclear activity on both the global and radial star formation rate (SFR) profiles in X-ray-selected active galactic nuclei (AGN) in the field of m…
PEARLS: NuSTAR and XMM-Newton Extragalactic Survey of the JWST North Ecliptic Pole Time-Domain Field II
Xiurui Zhao, Francesca Civano, Christopher N. A. Willmer +30
We present the second NuSTAR and XMM-Newton extragalactic survey of the JWST North Ecliptic Pole (NEP) Time-Domain Field (TDF). The first NuSTAR NEP-TDF survey (Zhao et al. 2021) h…
Estimating Galaxy Parameters with Self-Organizing Maps and the Effect of Missing Data
Valentina La Torre, Anna Sajina, Andy D. Goulding +4
The current and upcoming large data volume galaxy surveys require the use of machine learning techniques to maximize their scientific return. This study explores the use of Self-Or…