69 citations · 376 across the 18 of their papers we have counts for
4 papers · 1 filter
The PAU Survey: Photometric redshift estimation in deep wide fields
D. Navarro-Gironés, E. Gaztañaga, M. Crocce +23
We present photometric redshifts (photo-) for the deep wide fields of the Physics of the Accelerating Universe Survey (PAUS), covering an area of 50 deg, for 1…
The PAU survey: Estimating galaxy photometry with deep learning
Laura Cabayol, Martin Eriksen, Adam Amara +14
With the dramatic rise in high-quality galaxy data expected from Euclid and Vera C. Rubin Observatory, there will be increasing demand for fast high-precision methods for measuring…
The PAU Survey: narrowband photometric redshifts using Gaussian processes
John Y. H. Soo, Benjamin Joachimi, Martin Eriksen +16
We study the performance of the hybrid template-machine-learning photometric redshift (photo-) algorithm Delight, which uses Gaussian processes, on a subset of the early data re…
The PAU survey: Ly intensity mapping forecast
Pablo Renard, Enrique Gaztanaga, Rupert Croft +9
In this work, we explore the application of intensity mapping to detect extended Ly emission from the IGM via cross-correlation of PAUS images with Ly forest data from eBOSS…