collaborators

8 papers

astro-ph.GA2026

Unveiling the population of massive quenched galaxies at in the COLIBRE simulations -- II. The role of AGN feedback and environment on their emergence

Ángel Chandro-Gómez, Claudia del P. Lagos, Chris Power +16

Early () Massive (), Quenched Galaxies (MQGs) challenge current galaxy formation models. In this series, we study these…

astro-ph.GA2026

Unveiling the population of massive quenched galaxies at in the COLIBRE simulations - I. Galaxy demographics

Ángel Chandro-Gómez, Ángel Chandro-Gómez, Claudia del P. Lagos +17

The James Webb Space Telescope has uncovered a substantial population of Massive (), Quenched Galaxies (MQGs) in the early Universe ($z \ge…

astro-ph.GA2026

On the unique evolutionary mechanisms of massive quiescent galaxies in the epoch of reionisation

Harry George Chittenden, Karl Glazebrook, Themiya Nanayakkara +4

We investigate the evolutionary histories of a population of high mass, high redshift, quiescent galaxies in the cosmohydrodynamical simulation Thesan, studying the characteristic…

astro-ph.GA2025

Connecting Environment, Star Formation History, and Morphology of Massive Quiescent Galaxies at with JWST

Lalitwadee Kawinwanichakij, Karl Glazebrook, Themiya Nanayakkara +9

We present the morphological properties of 17 spectroscopically confirmed massive quiescent galaxies () at , observed with JW…

astro-ph.GA2025

Optimised neural network predictions of galaxy formation histories using semi-stochastic corrections

Jayashree Behera, Rita Tojeiro, Harry George Chittenden

We present a novel methodology to improve predictions of galaxy formation histories by incorporating semi-stochastic corrections to account for short-timescale variability. Our pap…

astro-ph.CO2025

Evaluating the galaxy formation histories predicted by a neural network in pure dark matter simulations

Harry George Chittenden, Jayashree Behera, Rita Tojeiro

We investigate a series of galaxy properties computed using the merger trees and environmental histories from dark matter only cosmological simulations, using a semi-recurrent neur…