114 citations · 447 across the 6 of their papers we have counts for
6 papers
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…
Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)
S. J. Schmidt, A. I. Malz, J. Y. H. Soo +24
Many scientific investigations of photometric galaxy surveys require redshift estimates, whose uncertainty properties are best encapsulated by photometric redshift (photo-z) poster…
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…
Improving Photometric Redshift Estimation using GPz: size information, post processing and improved photometry
Zahra Gomes, Matt J. Jarvis, Ibrahim A. Almosallam +1
The next generation of large scale imaging surveys (such as those conducted with the Large Synoptic Survey Telescope and Euclid) will require accurate photometric redshifts in orde…
GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts
Ibrahim A. Almosallam, Matt J. Jarvis, Stephen J. Roberts
The next generation of cosmology experiments will be required to use photometric redshifts rather than spectroscopic redshifts. Obtaining accurate and well-characterized photometri…
A Sparse Gaussian Process Framework for Photometric Redshift Estimation
Ibrahim A. Almosallam, Sam N. Lindsay, Matt J. Jarvis +1
Accurate photometric redshifts are a lynchpin for many future experiments to pin down the cosmological model and for studies of galaxy evolution. In this study, a novel sparse regr…