62 citations · 165 across the 6 of their papers we have counts for
4 papers · 1 filter
Globular cluster numbers in dark matter haloes in a dual formation scenario: an empirical model within EMERGE
Lucas M. Valenzuela, Benjamin P. Moster, Rhea-Silvia Remus +2
We present an empirical model for the number of globular clusters (GCs) in galaxies based on recent data showing a tight relationship between dark matter halo virial masses and GC…
EMERGE: Constraining merging probabilities and timescales of close galaxy pairs
Joseph A. O'Leary, Benjamin P. Moster, Eva Krämer
Theoretical models are vital for exploring the galaxy merger process, which plays a crucial role in the evolution of galaxies. Recent advances in modelling have placed tight constr…
GalaxyNet: Connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes
Benjamin P. Moster, Thorsten Naab, Magnus Lindström +1
We present the novel wide & deep neural network GalaxyNet, which connects the properties of galaxies and dark matter haloes, and is directly trained on observed galaxy statistics u…
EMERGE: Empirical predictions of galaxy merger rates since
Joseph A. O'Leary, Benjamin P. Moster, Thorsten Naab +1
We explore the galaxy-galaxy merger rate with the empirical model for galaxy formation, Emerge. On average, we find that between per cent and per cent of massive galaxies…