16 citations · 18 across the 6 of their papers we have counts for
10 papers
J-PAS & FLAMINGO: Cosmic voids and void galaxies in the gravitational landscape of photometric surveys
J. A. Mansour, B. McCarthy, L. J. Liivamägi +34
Photometric surveys offer a powerful way to map the large-scale structure of the Universe, but their redshift errors complicate the identification of cosmic voids, challenging stud…
The CAVITY project. The spatially resolved SFR of galaxies in voids
Ana M. Conrado, Rubén García-Benito, Rosa M. González Delgado +24
The mass in the Universe is distributed non-uniformly, originating the Large Scale Structure (LSS), characterised by clusters, filaments, walls and voids. Galaxies in voids are blu…
The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation
Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27
We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…
Retrieval of the physical parameters of galaxies from WEAVE-StePS-like data using machine learning
J. Angthopo, B. R. Granett, F. La Barbera +46
The WHT Enhanced Area Velocity Explorer (WEAVE) is a new, massively multiplexing spectrograph. This new instrument will be exploited to obtain high S/N spectra of 25000 galax…
Exploring Galaxy Properties of eCALIFA with Contrastive Learning
G. Martínez-Solaeche, R. García-Benito, R. M. González Delgado +4
Contrastive learning (CL) has emerged as a potent tool for building meaningful latent representations of galaxy properties across a broad spectrum of wavelengths, ranging from opti…
The CAVITY project. The spatially resolved stellar population properties of galaxies in voids
Ana M. Conrado, Rosa M. González Delgado, Rubén García-Benito +28
The Universe is shaped as a web-like structure, formed by clusters, filaments, and walls that leave large volumes in between named voids. Galaxies in voids have been found to be of…