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Overview of the DESI Milky Way Survey

Cooper, Andrew P.; Koposov, Sergey E.; Allende Prieto, Carlos; Manser, Christopher J.; Kizhuprakkat, Namitha; Myers, Adam D.; Dey, Arjun; Gänsicke, Boris T.; Li, Ting S.; Rockosi, Constance; Valluri, Monica; Najita, Joan; Deason, Alis; Raichoor, Anand; Wang, M.-Y.; Ting, Y.-S.; Kim, Bokyoung; Carrillo, Andreia; Wang, Wenting; Beraldo e Silva, Leandro; Han, Jiwon Jesse; Ding, Jiani; Sánchez-Conde, Miguel; Aguilar, Jessica N.; Ahlen, Steven; Bailey, Stephen; Belokurov, Vasily; Brooks, David; Cunha, Katia; Dawson, Kyle; de la Macorra, Axel; Doel, Peter; Eisenstein, Daniel J.; Fagrelius, Parker; Fanning, Kevin; Font-Ribera, Andreu; Forero-Romero, Jaime E.; Gaztañaga, Enrique; A Gontcho, Satya Gontcho; Guy, Julien; Honscheid, Klaus; Kehoe, Robert; Kisner, Theodore; Kremin, Anthony; Landriau, Martin; Levi, Michael E.; Martini, Paul; Meisner, Aaron M.; Miquel, Ramon; Moustakas, John; Nie, Jundan J.D.; Palanque-Delabrouille, Nathalie; Percival, Will J.; Poppett, Claire; Prada, Francisco; Rehem...

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Authors

Andrew P. Cooper

Sergey E. Koposov

Carlos Allende Prieto

Christopher J. Manser

Namitha Kizhuprakkat

Adam D. Myers

Arjun Dey

Boris T. Gänsicke

Ting S. Li

Constance Rockosi

Monica Valluri

Joan Najita

Anand Raichoor

M.-Y. Wang

Y.-S. Ting

Bokyoung Kim

Andreia Carrillo

Wenting Wang

Leandro Beraldo e Silva

Jiwon Jesse Han

Jiani Ding

Miguel Sánchez-Conde

Jessica N. Aguilar

Steven Ahlen

Stephen Bailey

Vasily Belokurov

David Brooks

Katia Cunha

Kyle Dawson

Axel de la Macorra

Peter Doel

Daniel J. Eisenstein

Parker Fagrelius

Kevin Fanning

Andreu Font-Ribera

Jaime E. Forero-Romero

Enrique Gaztañaga

Satya Gontcho A Gontcho

Julien Guy

Klaus Honscheid

Robert Kehoe

Theodore Kisner

Anthony Kremin

Martin Landriau

Michael E. Levi

Paul Martini

Aaron M. Meisner

Ramon Miquel

John Moustakas

Jundan J.D. Nie

Nathalie Palanque-Delabrouille

Will J. Percival

Claire Poppett

Francisco Prada

Nabeel Rehemtulla

Edward Schlafly

David Schlegel

Michael Schubnell

Gregory Tarlé

Risa H. Wechsler

David H. Weinberg

Zhimin Zhou

Hu Zou



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. Issue date: 10.4.23

Citation

Cooper, A. P., Koposov, S. E., Allende Prieto, C., Manser, C. J., Kizhuprakkat, N., Myers, A. D., …Zou, H. (2023). Overview of the DESI Milky Way Survey. Astrophysical Journal, 947(1), Article 37. https://doi.org/10.3847/1538-4357/acb3c0

Journal Article Type Article
Acceptance Date Jan 15, 2023
Online Publication Date Apr 18, 2023
Publication Date Apr 10, 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 947
Issue 1
Article Number 37
DOI https://doi.org/10.3847/1538-4357/acb3c0

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http://creativecommons.org/licenses/by/4.0/

Copyright Statement
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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