1.2k citations · 15.5k across the 163 of their papers we have counts for
Showing 2015 · astro-ph.IMShow all
3 papers · 2 filters
astro-ph.IM2015★ 7 cited
Tuning target selection algorithms to improve galaxy redshift estimates
Ben Hoyle, Kerstin Paech, Markus Michael Rau +2
We showcase machine learning (ML) inspired target selection algorithms to determine which of all potential targets should be selected first for spectroscopic follow up. Efficient t…
astro-ph.IM2015★ 208 cited
redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data
E. Rozo, E. S. Rykoff, A. Abate +84
We introduce redMaGiC, an automated algorithm for selecting Luminous Red Galaxies (LRGs). The algorithm was specifically developed to minimize photometric redshift uncertainties in…
astro-ph.IM2015★ 4 cited
Measuring photometric redshifts using galaxy images and Deep Neural Networks
Ben Hoyle
We propose a new method to estimate the photometric redshift of galaxies by using the full galaxy image in each measured band. This method draws from the latest techniques and adva…