J. Guy
The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument
Guy, J.; Bailey, S.; Kremin, A.; Alam, Shadab; Alexander, D.M.; Allende Prieto, C.; BenZvi, S.; Bolton, A.S.; Brooks, D.; Chaussidon, E.; Cooper, A.P.; Dawson, K.; de la Macorra, A.; Dey, A.; Dey, Biprateep; Dhungana, G.; Eisenstein, D.J.; Font-Ribera, A.; Forero-Romero, J.E.; Gaztañaga, E.; Gontcho A Gontcho, S.; Green, D.; Honscheid, K.; Ishak, M.; Kehoe, R.; Kirkby, D.; Kisner, T.; Koposov, Sergey E.; Lan, Ting-Wen; Landriau, M.; Le Guillou, L.; Levi, Michael E.; Magneville, C.; Manser, Christopher J.; Martini, P.; Meisner, Aaron M.; Miquel, R.; Moustakas, J.; Myers, Adam D.; Newman, Jeffrey A.; Nie, Jundan; Palanque-Delabrouille, N.; Percival, W.J.; Poppett, C.; Prada, F.; Raichoor, A.; Ravoux, C.; Ross, A.J.; Schlafly, E.F.; Schlegel, D.; Schubnell, M.; Sharples, Ray M.; Tarlé, Gregory; Weaver, B.A.; Yéche, Christophe; Zhou, Rongpu; Zhou, Zhimin; Zou, H.
Authors
S. Bailey
A. Kremin
Shadab Alam
Professor David Alexander d.m.alexander@durham.ac.uk
Professor
C. Allende Prieto
S. BenZvi
A.S. Bolton
D. Brooks
E. Chaussidon
A.P. Cooper
K. Dawson
A. de la Macorra
A. Dey
Biprateep Dey
G. Dhungana
D.J. Eisenstein
A. Font-Ribera
J.E. Forero-Romero
E. Gaztañaga
S. Gontcho A Gontcho
D. Green
K. Honscheid
M. Ishak
R. Kehoe
D. Kirkby
T. Kisner
Sergey E. Koposov
Ting-Wen Lan
M. Landriau
L. Le Guillou
Michael E. Levi
C. Magneville
Christopher J. Manser
P. Martini
Aaron M. Meisner
R. Miquel
J. Moustakas
Adam D. Myers
Jeffrey A. Newman
Jundan Nie
N. Palanque-Delabrouille
W.J. Percival
C. Poppett
F. Prada
A. Raichoor
C. Ravoux
A.J. Ross
E.F. Schlafly
D. Schlegel
M. Schubnell
Professor Ray Sharples r.m.sharples@durham.ac.uk
Professor
Gregory Tarlé
B.A. Weaver
Christophe Yéche
Rongpu Zhou
Zhimin Zhou
H. Zou
Abstract
We describe the spectroscopic data processing pipeline of the Dark Energy Spectroscopic Instrument (DESI), which is conducting a redshift survey of about 40 million galaxies and quasars using a purpose-built instrument on the 4 m Mayall Telescope at Kitt Peak National Observatory. The main goal of DESI is to measure with unprecedented precision the expansion history of the universe with the baryon acoustic oscillation technique and the growth rate of structure with redshift space distortions. Ten spectrographs with three cameras each disperse the light from 5000 fibers onto 30 CCDs, covering the near-UV to near-infrared (3600–9800 Å) with a spectral resolution ranging from 2000 to 5000. The DESI data pipeline generates wavelength- and flux-calibrated spectra of all the targets, along with spectroscopic classifications and redshift measurements. Fully processed data from each night are typically available to the DESI collaboration the following morning. We give details about the pipeline's algorithms, and provide performance results on the stability of the optics, the quality of the sky background subtraction, and the precision and accuracy of the instrumental calibration. This pipeline has been used to process the DESI Survey Validation data set, and has exceeded the project's requirements for redshift performance, with high efficiency and a purity greater than 99% for all target classes.
Citation
Guy, J., Bailey, S., Kremin, A., Alam, S., Alexander, D., Allende Prieto, C., …Zou, H. (2023). The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument. Astrophysical Journal, 165(4), Article 144. https://doi.org/10.3847/1538-3881/acb212
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 9, 2023 |
Online Publication Date | Mar 3, 2023 |
Publication Date | Apr 1, 2023 |
Deposit Date | May 24, 2023 |
Publicly Available Date | May 24, 2023 |
Journal | Astrophysical Journal |
Print ISSN | 0004-637X |
Electronic ISSN | 1538-4357 |
Publisher | American Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 165 |
Issue | 4 |
Article Number | 144 |
DOI | https://doi.org/10.3847/1538-3881/acb212 |
Public URL | https://durham-repository.worktribe.com/output/1174093 |
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Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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