72 citations · 210 across the 6 of their papers we have counts for
6 papers
Augmenting machine learning photometric redshifts with Gaussian mixture models
P. W. Hatfield, I. A. Almosallam, M. J. Jarvis +5
Wide-area imaging surveys are one of the key ways of advancing our understanding of cosmology, galaxy formation physics, and the large-scale structure of the Universe in the coming…
Comparing Galaxy Clustering in Horizon-AGN Simulated Lightcone Mocks and VIDEO Observations
Peter Hatfield, Clotilde Laigle, Matt Jarvis +5
Hydrodynamical cosmological simulations have recently made great advances in reproducing galaxy mass assembly over cosmic time - as often quantified from the comparison of their pr…
Using Sparse Gaussian Processes for Predicting Robust Inertial Confinement Fusion Implosion Yields
Peter Hatfield, Steven Rose, Robbie Scott +3
Here we present the application of an advanced Sparse Gaussian Process based machine learning algorithm to the challenge of predicting the yields of inertial confinement fusion (IC…
The Blind Implosion-Maker - Automated Inertial Confinement Fusion experiment design
P. W. Hatfield, S. J. Rose, R. H. H. Scott
The design of inertial confinement fusion experiments, alongside improving the development of energy density physics theory and experimental methods, is one of the key challenges i…
The clustering and bias of radio-selected AGN and star-forming galaxies in the COSMOS field
C. L. Hale, M. J. Jarvis, I. Delvecchio +4
Dark matter haloes in which galaxies reside are likely to have a significant impact on their evolution. We investigate the link between dark matter haloes and their constituent gal…
The MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) Survey
Matt J. Jarvis, A. R. Taylor, I. Agudo +54
The MIGHTEE large survey project will survey four of the most well-studied extragalactic deep fields, totalling 20 square degrees to Jy sensitivity at Giga-Hertz frequencies, as…