TY - JOUR
T1 - The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument
AU - DESI Collaboration
AU - Myers, Adam D.
AU - Moustakas, John
AU - Bailey, Stephen
AU - Weaver, Benjamin A.
AU - Cooper, Andrew P.
AU - Forero-Romero, Jaime E.
AU - Abolfathi, Bela
AU - Alexander, David M.
AU - Brooks, David
AU - Chaussidon, Edmond
AU - Chuang, Chia-Hsun
AU - Dawson, Kyle
AU - Dey, Arjun
AU - Dey, Biprateep
AU - Dhungana, Govinda
AU - Doel, Peter
AU - Fanning, Kevin
AU - Gaztañaga, Enrique
AU - Gontcho, Satya Gontcho A
AU - Gonzalez-Morales, Alma X.
AU - Hahn, ChangHoon
AU - Herrera-Alcantar, Hiram K.
AU - Honscheid, Klaus
AU - Ishak, Mustapha
AU - Karim, Tanveer
AU - Kirkby, David
AU - Kisner, Theodore
AU - Koposov, Sergey E.
AU - Kremin, Anthony
AU - Lan, Ting-Wen
AU - Landriau, Martin
AU - Lang, Dustin
AU - Levi, Michael E.
AU - Magneville, Christophe
AU - Napolitano, Lucas
AU - Martini, Paul
AU - Meisner, Aaron
AU - Newman, Jeffrey A.
AU - Palanque-Delabrouille, Nathalie
AU - Percival, Will
AU - Poppett, Claire
AU - Prada, Francisco
AU - Raichoor, Anand
AU - Ross, Ashley J.
AU - Schlafly, Edward F.
AU - Schlegel, David
AU - Schubnell, Michael
AU - Tan, Ting
AU - Tarle, Gregory
AU - Wilson, Michael J.
AU - Yèche, Christophe
AU - Zhou, Rongpu
AU - Zhou, Zhimin
AU - Zou, Hu
N1 - AJ, accepted, 27 pages, 4 figures, 10 tables, one of a suite of 8 papers detailing targeting for DESI. Minor textual updates to better match the final, accepted version. Also added two missing co-authors
Funding Information:
The DESI Legacy Imaging Surveys consist of three individual and complementary projects: the Dark Energy Camera Legacy Survey (DECaLS), the Beijing-Arizona Sky Survey (BASS), and the Mayall z-band Legacy Survey (MzLS). DECaLS, BASS, and MzLS together include data obtained, respectively, at the Blanco telescope, Cerro Tololo Inter-American Observatory, NSF’s NOIRLab; the Bok telescope, Steward Observatory, University of Arizona; and the Mayall telescope, Kitt Peak National Observatory, NOIRLab. NOIRLab is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. Pipeline processing and analyses of the data were supported by NOIRLab and the Lawrence Berkeley National Laboratory. Legacy Surveys also uses data products from the Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE), a project of the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration. Legacy Surveys was supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy; the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility; the U.S. National Science Foundation, Division of Astronomical Sciences; the National Astronomical Observatories of China, the Chinese Academy of Sciences, and the Chinese National Natural Science Foundation. LBNL is managed by the Regents of the University of California under contract to the U.S. Department of Energy. The complete acknowledgments can be found at https://www.legacysurvey.org/acknowledgment/ .
Funding Information:
A.D.M. and J.M. were supported by the U.S. Department of Energy, Office of Science, Office of High Energy Physics, under Award Numbers DE-SC0019022 and DE-SC0020086. A.P.C. is supported by a Taiwan Ministry of Education Yushan Fellowship and Taiwan Ministry of Science and Technology grant No. 109-2112-M-007-011-MY3.
Funding Information:
This research is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under Contract No. DEAC0205CH11231, and by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract; additional support for DESI is provided by the U.S. National Science Foundation, Division of Astronomical Sciences under Contract No. AST-0950945 to the NSF’s National Optical-Infrared Astronomy Research Laboratory; the Science and Technologies Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Science and Technology of Mexico (CONACYT); the Ministry of Science and Innovation of Spain (MICINN), and by the DESI Member Institutions: https://www.desi.lbl.gov/collaborating-institutions .
Publisher Copyright:
© 2023. The Author(s). Published by the American Astronomical Society.
PY - 2023/1/11
Y1 - 2023/1/11
N2 - In 2021 May, the Dark Energy Spectroscopic Instrument (DESI) began a 5 yr survey of approximately 50 million total extragalactic and Galactic targets. The primary DESI dark-time targets are emission line galaxies (ELGs), luminous red galaxies (LRGs) and quasars (QSOs). In bright time, DESI will focus on two surveys known as the Bright Galaxy Survey (BGS) and the Milky Way Survey (MWS). DESI also observes a selection of "secondary" targets for bespoke science goals. This paper gives an overview of the publicly available pipeline (desitarget) used to process targets for DESI observations. Highlights include details of the different DESI survey targeting phases, the targeting ID (TARGETID) used to define unique targets, the bitmasks used to indicate a particular type of target, the data model and structure of DESI targeting files, and examples of how to access and use the desitarget code base. This paper will also describe "supporting" DESI target classes, such as standard stars, sky locations, and random catalogs that mimic the angular selection function of DESI targets. The DESI target selection pipeline is complex and sizable; this paper attempts to summarize the most salient information required to understand and work with DESI targeting data.
AB - In 2021 May, the Dark Energy Spectroscopic Instrument (DESI) began a 5 yr survey of approximately 50 million total extragalactic and Galactic targets. The primary DESI dark-time targets are emission line galaxies (ELGs), luminous red galaxies (LRGs) and quasars (QSOs). In bright time, DESI will focus on two surveys known as the Bright Galaxy Survey (BGS) and the Milky Way Survey (MWS). DESI also observes a selection of "secondary" targets for bespoke science goals. This paper gives an overview of the publicly available pipeline (desitarget) used to process targets for DESI observations. Highlights include details of the different DESI survey targeting phases, the targeting ID (TARGETID) used to define unique targets, the bitmasks used to indicate a particular type of target, the data model and structure of DESI targeting files, and examples of how to access and use the desitarget code base. This paper will also describe "supporting" DESI target classes, such as standard stars, sky locations, and random catalogs that mimic the angular selection function of DESI targets. The DESI target selection pipeline is complex and sizable; this paper attempts to summarize the most salient information required to understand and work with DESI targeting data.
KW - astro-ph.IM
KW - astro-ph.CO
KW - astro-ph.GA
U2 - 10.3847/1538-3881/aca5f9
DO - 10.3847/1538-3881/aca5f9
M3 - Article
SN - 0004-637X
VL - 165
SP - 1
EP - 22
JO - Astrophysical Journal
JF - Astrophysical Journal
IS - 2
M1 - 50
ER -