924 citations · 4.5k across the 99 of their papers we have counts for
100 papers
Not Hydro: Using Neural Networks to estimate galaxy properties on a Dark-Matter-Only simulation
Cristian Hernández Cuevas, Roberto E. González, Nelson D. Padilla
Using data from TNG300-2, we train a neural network (NN) to recreate the stellar mass () and star formation rate (SFR) of central galaxies in a dark-matter-only simulation. We…
Active galactic nuclei and gravitational redshifts
N. D. Padilla, S. Carneiro, J. Chaves-Montero +4
Context: Gravitational redshift is a classical effect of Einstein's General Relativity, already measured in stars, quasars and clusters of galaxies. Aims: We here aim to identify t…
A new test of gravity -- I: Introduction to the method
Joaquin Armijo, Carlton M. Baugh, Peder Norberg +1
We introduce a new scheme based on the marked correlation function to probe gravity using the large-scale structure of the Universe. We illustrate our approach by applying it to si…
Redshift evolution of the dark matter haloes shapes
Pedro Cataldi, Susana Pedrosa, Patricia Tissera +6
In this work, we aim at investigating the morphology evolution of Milky Way mass-like dark matter haloes selected from the CIELO and IllustrisTNG Projects. The connection between h…
Guess the cheese flavour by the size of its holes: A cosmological test using the abundance of Popcorn voids
Dante J. Paz, Carlos M. Correa, Sebastián R. Gualpa +4
We present a new definition of cosmic void and a publicly available code with the algorithm that implements it. Underdense regions are defined as free-form objects, called popcorn…
Fingerprints of modified gravity on galaxies in voids
Pedro Cataldi, Susana Pedrosa, Nelson Padilla +3
We search for detectable signatures of f(R) gravity and its chameleon screening mechanism in the baryonic and dark matter (DM) properties of simulated void galaxies. The enhancemen…