activity
20062022
most citedOverview of the DESI Legacy Imaging Surveys

1.9k citations · 4k across the 20 of their papers we have counts for

collaborators

20 papers

astro-ph.IM2022★ 4 cited

Euclid Near Infrared Spectrometer and Photometer instrument flight model presentation, performance and ground calibration results summary

T. Maciaszek, A. Ealet, W. Gillard +95

The NISP (Near Infrared Spectrometer and Photometer) is one of the two Euclid instruments. It operates in the near-IR spectral region (950-2020nm) as a photometer and spectrometer.…

astro-ph.IM2022★ 197 cited

The Robotic Multi-Object Focal Plane System of the Dark Energy Spectroscopic Instrument (DESI)

Joseph Harry Silber, Parker Fagrelius, Kevin Fanning +97

A system of 5,020 robotic fiber positioners was installed in 2019 on the Mayall Telescope, at Kitt Peak National Observatory. The robots automatically re-target their optical fiber…

astro-ph.GA2022★ 15 cited

The PAU Survey: Measurements of the 4000 Å spectral break with narrow-band photometry

Pablo Renard, Małgorzata Siudek, Martin B. Eriksen +19

The D4000 spectral break index is one of the most important features in the visible spectrum, as it is a proxy for stellar ages and is also used in galaxy classification. However,…

astro-ph.CO2021★ 8 cited

Euclid preparation: I. The Euclid Wide Survey

R. Scaramella, J. Amiaux, Y. Mellier +238

Euclid is an ESA mission designed to constrain the properties of dark energy and gravity via weak gravitational lensing and galaxy clustering. It will carry out a wide area imaging…

astro-ph.CO2021★ 18 cited

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…

astro-ph.CO2021★ 22 cited

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…