123 citations · 155 across the 12 of their papers we have counts for
10 papers · 1 filter
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…
Unveiling the population of massive quenched galaxies at in the COLIBRE simulations - I. Galaxy demographics
Ángel Chandro-Gómez, Claudia del P. Lagos, Chris Power +14
The James Webb Space Telescope has uncovered a substantial population of Massive (), Quenched Galaxies (MQGs) in the early Universe ($z \ge…
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…
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…
The formation histories of massive and quiescent galaxies in the 3 < z < 4.5 Universe
Themiya Nanayakkara, Karl Glazebrook, Corentin Schreiber +16
We present the formation histories of 19 massive () quiescent (sSFR) galaxy candidates at z~3.0-4.5 observed using JWST/NIRSpec. This completes th…
The diverse star formation histories of early massive, quenched galaxies in modern galaxy formation simulations
Claudia del P. Lagos, Francesco Valentino, Ruby J. Wright +13
We present a comprehensive study of the star formation histories of massive-quenched galaxies at in 3 semi-analytic models (SHARK, GAEA, GALFORM) and 3 cosmological hydrodyna…
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…
A massive galaxy that formed its stars at
Karl Glazebrook, Themiya Nanayakkara, Corentin Schreiber +15
The formation of galaxies by gradual hierarchical co-assembly of baryons and cold dark matter halos is a fundamental paradigm underpinning modern astrophysics and predicts a strong…
Modelling the galaxy-halo connection with semi-recurrent neural networks
Harry George Chittenden, Rita Tojeiro
We present an artificial neural network design in which past and present-day properties of dark matter halos and their local environment are used to predict time-resolved star form…
Applying unsupervised learning to resolve evolutionary histories and explore the galaxy-halo connection in IllustrisTNG
Tristan Sohrab Fraser, Rita Tojeiro, Harry Chittenden
We examine the effectiveness of identifying distinct evolutionary histories in IllustrisTNG-100 galaxies using unsupervised machine learning with Gaussian Mixture Models. We focus…