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The Backup Program of the Dark Energy Spectroscopic Instrument's Milky Way Survey
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The Backup Program of the Dark Energy Spectroscopic Instrument's Milky Way Survey

Arjun Dey, Sergey E. Koposov, Joan R. Najita, Andrew P. Cooper, B. T. Gansicke, Adam D. Myers, A. Raichoor, Daniel J. Eisenstein, E. F. Schlafly, D. Schlegel, …
The Astronomical journal, 卷.171(6), 頁.348
01/06/2026
Web of Science ID: WOS:001765069200001

摘要

Astronomy & Astrophysics Physical Sciences Science & Technology
The Milky Way Backup Program (MWBP), a survey currently underway with the Dark Energy Spectroscopic Instrument (DESI) on the Nicholas U. Mayall 4 m Telescope, works at the margins of the DESI Main surveys to obtain spectra of millions of additional stars from the Gaia catalog. Efficiently utilizing times between similar to 12 degrees and 18 degrees twilight and poor weather conditions, the MWBP extends the range of stellar sources studied to both brighter magnitudes and lower Galactic latitude and declination than the stars studied in DESI's Main Milky Way Survey. While the MWBP prioritizes candidate giant stars selected from the Gaia catalog (using color and parallax criteria), it also includes an unbiased sample of bright stars (i.e., 11.2 less than or similar to G < 16 mag) as well as fainter sources (to G less than or similar to 19 mag). As of 2025 March 1, the survey had obtained spectra of similar to 7 million stars, approximately 1.2 million of which are included in the DESI Data Release 1. The DESI spectra cover the wavelength range from 3600 to 9800 & Aring; at a resolution lambda/Delta lambda varying from 2000 to 5000. The full survey, when completed, will cover an area of more than 21,000 deg(2) and include approximately 10 million Gaia sources, roughly equal to the number of stellar spectra obtained through the DESI Main Survey, while only utilizing approximate to 9% of all DESI observing time. This paper provides an overview of the MWBP, describing the target selection, observing strategy, and an introduction to the resulting data.

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