From the 1 of 6 linked papers with an AI index.
4 papers · 1 filter
Identifying backsplash galaxies using machine learning
Roan Haggar, Elizaveta Sazonova, Cameron R. Morgan +5
The paper presents a machine‑learning model trained on The Three Hundred cluster simulations that can identify backsplash galaxies in observations, achieving about 70% purity/compl…
Assembly of the Intracluster Light in the Horizon-AGN Simulation
Harley J. Brown, Garreth Martin, Frazer R. Pearce +3
The diffuse stellar component of galaxy clusters made up of intergalactic stars is termed the intracluster light (ICL). Though there is a developing understanding of the mechanisms…
Reconsidering the dynamical states of galaxy clusters using PCA and UMAP
Roan Haggar, Federico De Luca, Marco De Petris +10
Numerous metrics exist to quantify the dynamical state of galaxy clusters, both observationally and within simulations. Many of these correlate strongly with one another, but it is…
Correcting for the overabundance of low-mass quiescent galaxies in semi-analytic models
Jimi E. Harrold, Omar Almaini, Frazer R. Pearce +1
We compare the L-Galaxies semi-analytic model to deep observational data from the UKIDSS Ultra Deep Survey (UDS) across the redshift range . We find that the over-abun…