72 citations · 454 across the 18 of their papers we have counts for
4 papers · 1 filter
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…
Euclid preparation: X. The Euclid photometric-redshift challenge
Euclid Collaboration, G. Desprez, S. Paltani +170
Forthcoming large photometric surveys for cosmology require precise and accurate photometric redshift (photo-z) measurements for the success of their main science objectives. Howev…
Automation and control of laser wakefield accelerators using Bayesian optimisation
R. J. Shalloo, S. J. D. Dann, J. -N. Gruse +26
Laser wakefield accelerators promise to revolutionise many areas of accelerator science. However, one of the greatest challenges to their widespread adoption is the difficulty in c…
Building high accuracy emulators for scientific simulations with deep neural architecture search
M. F. Kasim, D. Watson-Parris, L. Deaconu +10
Computer simulations are invaluable tools for scientific discovery. However, accurate simulations are often slow to execute, which limits their applicability to extensive parameter…