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American Astronomical Society, Astrophysical Journal, 1(947), p. 37, 2023

DOI: 10.3847/1538-4357/acb3c0

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Overview of the DESI Milky Way Survey

Journal article published in 2023 by Andrew P. Cooper ORCID, Sergey E. Koposov ORCID, Carlos Allende Prieto ORCID, Christopher J. Manser ORCID, Namitha Kizhuprakkat, Adam D. Myers, Arjun Dey ORCID, Boris T. Gänsicke ORCID, Ting S. Li ORCID, Constance Rockosi ORCID, Monica Valluri ORCID, Joan Najita ORCID, Alis Deason ORCID, Anand Raichoor ORCID, M.-Y. Wang and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Preprint: archiving forbidden
Red circle
Postprint: archiving forbidden
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Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Abstract We describe the Milky Way Survey (MWS) that will be undertaken with the Dark Energy Spectroscopic Instrument (DESI) on the Mayall 4 m telescope at the Kitt Peak National Observatory. Over the next 5 yr DESI MWS will observe approximately seven million stars at Galactic latitudes ∣b∣ > 20°, with an inclusive target selection scheme focused on the thick disk and stellar halo. MWS will also include several high-completeness samples of rare stellar types, including white dwarfs, low-mass stars within 100 pc of the Sun, and horizontal branch stars. We summarize the potential of DESI to advance understanding of the Galactic structure and stellar evolution. We introduce the final definitions of the main MWS target classes and estimate the number of stars in each class that will be observed. We describe our pipelines for deriving radial velocities, atmospheric parameters, and chemical abundances. We use ≃500,000 spectra of unique stellar targets from the DESI Survey Validation program (SV) to demonstrate that our pipelines can measure radial velocities to ≃1 km s−1 and [Fe/H] accurate to ≃0.2 dex for typical stars in our main sample. We find the stellar parameter distributions from ≈100 deg2 of SV observations with ≳90% completeness on our main sample are in good agreement with expectations from mock catalogs and previous surveys.