1 citations · 1 across the 1 of their papers we have counts for
6 papers
The CAVITY project. The spatially resolved SFR of galaxies in voids
Ana M. Conrado, Rubén GarcÃa-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…
CAVITY: Calar Alto Void Integral-field Treasury surveY. I. First public data release
Rubén GarcÃa-Benito, Andoni Jiménez, Laura Sánchez-Menguiano +40
The Calar Alto Void Integral-field Treasury surveY (CAVITY) is a legacy project aimed at characterising the population of galaxies inhabiting voids, which are the most under-dense…
The effect of local and large scale environment on the star formation histories of galaxies
G. Torres-RÃos, I. Pérez, S. Verley +15
We aim to investigate how the local environment influences the star formation history (SFH) of galaxies residing in various large-scale environments. We categorise a sample of 9384…
The CAVITY project. The spatially resolved stellar population properties of galaxies in voids
Ana M. Conrado, Rosa M. González Delgado, Rubén GarcÃa-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…
CAVITY, Calar Alto Void Integral-field Treasury surveY and project extension
I. Pérez, S. Verley, L. Sánchez-Menguiano +58
We have learnt in the last decades that the majority of galaxies belong to high density regions interconnected in a sponge-like fashion. This large-scale structure is characterised…
Exploring Galaxy Properties of eCALIFA with Contrastive Learning
G. MartÃnez-Solaeche, R. GarcÃa-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…