collaborators

5 papers

astro-ph.GA2026

SEEDZ: Rapid Galaxy Assembly as a Pathway to Supermassive Stars, Dense Stellar Environments and Massive Black Hole Seeds

Lewis R. Prole, John A. Regan, Daxal Mehta +14

We investigate the assembly history of early galaxies in the SEEDZ hydrodynamic simulations, to investigate the high inflow rates believed to be required for the formation of super…

astro-ph.GA2026

Black Hole Feedback, Galaxy Quenching and Outflows at Cosmic Dawn: Analysis of the SEEDZ Simulations

Lewis R. Prole, John A. Regan, Daxal Mehta +13

Here we analyse the growth and feedback effects of massive black holes (MBHs) in the SEEDZ simulations. The most massive black holes grow to masses of M by $z=…

astro-ph.GA2026

The SEEDZ Simulations: Methodology and First Results on Massive Black Hole Seeding and Early Galaxy Growth

Lewis R. Prole, John A. Regan, Daxal Mehta +13

Here we introduce the SEEDZ simulations, a suite of cosmological hydrodynamic simulations exploring the formation and growth of the first massive black holes in the Universe. SEEDZ…

astro-ph.IM2025

Bridging Machine Learning and Cosmological Simulations: Using Neural Operators to emulate Chemical Evolution

Pelle van de Bor, John Brennan, John A. Regan +1

The computational expense of solving non-equilibrium chemistry equations in astrophysical simulations poses a significant challenge, particularly in high-resolution, large-scale co…

astro-ph.CO2025

Predicting the number density of heavy seed massive black holes due to an intense Lyman-Werner field

Hannah O'Brennan, John A. Regan, John Brennan +5

The recent detections of a large number of candidate active galactic nuclei at high redshift (i.e. ) has increased speculation that heavy seed massive black hole forma…