collaborators

9 papers

astro-ph.GA2026

Reconstructing orbits of galaxies in extreme regions (roger v2.0): an extension to intermediate mass systems

Martín de los Rios, Héctor J. Martínez, Andrés N. Ruiz +3

In this paper, we present an updated version of the roger code, called roger v2.0, developed to perform the orbital classification of galaxies residing in and around galaxy groups…

astro-ph.CO2026

The Galaxy Bias Profile of Cosmic Voids:A Comparison of Void Finders

Ignacio G. Alfaro, Antonio D. Montero-Dorta, Jorge F. Bustillos +6

Cosmic voids, the largest underdense regions in the Universe, provide unique laboratories for studying galaxy formation and constitute powerful probes of cosmology. Recent work has…

astro-ph.GA2025

Traces of the evolution of cosmic void galaxies: An Integral Field Spectroscopy based analysis

Agustín M. Rodríguez-Medrano, Dante J. Paz, Damián Mast +2

Galaxies in the most underdense regions of the Universe, known as cosmic voids, exhibit astrophysical properties that suggest a distinct evolutionary path compared to galaxies in d…

astro-ph.GA2025

The evolution of the halo occupation distribution in cosmic voids

Ignacio G. Alfaro, Facundo Rodriguez, Andrés N. Ruiz

The halo occupation distribution is a cornerstone in understanding galaxy formation within the large-scale structure.On the other hand, in the context of the large-scale structure…

astro-ph.GA2025

Galaxy evolution in groups: Transition galaxies in the IllustrisTNG simulations

Selene Levis, Valeria Coenda, Hernán Muriel +4

The evolution of galaxies is significantly influenced by the environments they inhabit. While high-density regions, such as clusters of galaxies have been widely studied, the dynam…

astro-ph.CO2025

The galaxy bias profile of cosmic voids

Antonio D. Montero-Dorta, Andrés Balaguera-Antolínez, Ignacio G. Alfaro +7

Cosmic voids are underdense regions within the large-scale structure of the Universe, spanning a wide range of physical scales - from a few megaparsecs (Mpc) to the largest observa…