45 citations · 73 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2021★ 45 cited
Investigating Deep Learning Methods for Obtaining Photometric Redshift Estimations from Images
Ben Henghes, Connor Pettitt, Jeyan Thiyagalingam +2
Knowing the redshift of galaxies is one of the first requirements of many cosmological experiments, and as it's impossible to perform spectroscopy for every galaxy being observed,…
astro-ph.IM2021★ 28 cited
Benchmarking and Scalability of Machine Learning Methods for Photometric Redshift Estimation
Ben Henghes, Connor Pettitt, Jeyan Thiyagalingam +2
Obtaining accurate photometric redshift estimations is an important aspect of cosmology, remaining a prerequisite of many analyses. In creating novel methods to produce redshift es…