12 citations · 58 across the 16 of their papers we have counts for
9 papers · 1 filter
Linking X-ray emission to galaxy populations in GAMA groups
Selene Levis, Hernán Muriel, Valeria Coenda +3
We study how the presence of a detectable hot intragroup medium affects galaxy colour and star-formation properties, and how these trends depend on dynamical stage within the group…
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…
Dark Matter profiles of "in silico" galaxies: deep learning inference
Martín de los Rios, Serafina Di Gioia, Fabio Iocco +1
Machine learning has the potential to improve the reconstruction of the dark matter profile of galaxies with respect to traditional methods, like rotation curves. We demonstrate on…
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…
Reconstructing orbits of galaxies in extreme regions (ROGER). IV. Unveiling galaxy evolution patterns in OmegaWINGS clusters
Hernán Muriel, David Pérez-Millán, Martín de los Rios +6
Clusters of galaxies have proven to be efficient systems in modifying various properties of galaxies, such as star formation or morphology. However, projection effects impose serio…
Backsplash galaxies and their impact on galaxy evolution: a three-stage, four-type perspective
Andrés N. Ruiz, Héctor J. Martínez, Valeria Coenda +4
We study the population of backsplash galaxies at in the outskirts of massive, isolated clusters of galaxies taken from the MDPL2-SAG semi-analytic catalogue. We consider fou…
Reconstructing Orbits of Galaxies in Extreme Regions (ROGER) III: galaxy evolution patterns in projected phase space around massive X-ray clusters
Hector J. Martinez, Valeria Coenda, Hernan Muriel +2
We use the ROGER code by de los Rios et al. to classify galaxies around a sample of X-ray clusters into five classes according to their positions in the projected phase space diagr…
Reconstructing Orbits of Galaxies in Extreme Regions (ROGER) II: reliability of projected phase-space in our understanding of galaxy populations
Valeria Coenda, Martín de los Rios, Hernán Muriel +4
We connect galaxy properties with their orbital classification by analysing a sample of galaxies with stellar mass residing in and around mas…
Determining the Dark Matter distribution in galaxies with Deep Learning
Martín Emilio de los Rios, Mihael Petač, Bryan Zaldivar +3
We present a novel method to infer the Dark Matter (DM) content and spatial distribution within galaxies, based on convolutional neural networks trained within state-of-the-art hyd…