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Survey Operations for the Dark Energy Spectroscopic Instrument

Authors :
Edward F. Schlafly
David Kirkby
David J. Schlegel
Adam D. Myers
Anand Raichoor
Kyle Dawson
Jessica Aguilar
Carlos Allende Prieto
Stephen Bailey
Segev BenZvi
Jose Bermejo-Climent
David Brooks
Axel de la Macorra
Arjun Dey
Peter Doel
Kevin Fanning
Andreu Font-Ribera
Jaime E. Forero-Romero
Juan García-Bellido
Satya Gontcho A Gontcho
Julien Guy
ChangHoon Hahn
Klaus Honscheid
Mustapha Ishak
Stéphanie Juneau
Robert Kehoe
Theodore Kisner
Anthony Kremin
Martin Landriau
Dustin A. Lang
James Lasker
Michael E. Levi
Christophe Magneville
Christopher J. Manser
Paul Martini
Aaron M. Meisner
Ramon Miquel
John Moustakas
Jeffrey A. Newman
Jundan Nie
Nathalie. Palanque-Delabrouille
Will J. Percival
Claire Poppett
Constance Rockosi
Ashley J. Ross
Graziano Rossi
Gregory Tarlé
Benjamin A. Weaver
Christophe Yèche
Rongpu Zhou
DESI Collaboration
Source :
The Astronomical Journal, Vol 166, Iss 6, p 259 (2023)
Publication Year :
2023
Publisher :
IOP Publishing, 2023.

Abstract

The Dark Energy Spectroscopic Instrument (DESI) survey is a spectroscopic survey of tens of millions of galaxies at 0 < z < 3.5 covering 14,000 sq. deg. of the sky. In its first 1.1 yr of survey operations, it has observed more than 14 million galaxies and 4 million stars. We describe the processes that govern DESI’s observations of the 15,000 fields composing the survey. This includes the planning of each night’s observations in the afternoon; automatic selection of fields to observe during the night; real-time assessment of field completeness on the basis of observing conditions during each exposure; reduction, redshifting, and quality assurance of each field of targets in the morning following observation; and updates to the list of future targets to observe on the basis of these results. We also compare the performance of the survey with historical expectations and find good agreement. Simulations of the weather and of DESI observations using the real field-selection algorithm show good agreement with the actual observations. After accounting for major unplanned shutdowns, the dark time survey is progressing about 7% faster than forecast, which is good agreement given approximations made in the simulations.

Details

Language :
English
ISSN :
15383881
Volume :
166
Issue :
6
Database :
Directory of Open Access Journals
Journal :
The Astronomical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.51d2c8e17068455287e0a7467c36376b
Document Type :
article
Full Text :
https://doi.org/10.3847/1538-3881/ad0832