The Astrophysical Journal (Jan 2023)

Target Selection and Sample Characterization for the DESI LOW-Z Secondary Target Program

  • Elise Darragh-Ford,
  • John F. Wu,
  • Yao-Yuan Mao,
  • Risa H. Wechsler,
  • Marla Geha,
  • Jaime E. Forero-Romero,
  • ChangHoon Hahn,
  • Nitya Kallivayalil,
  • John Moustakas,
  • Ethan O. Nadler,
  • Marta Nowotka,
  • J. E. G. Peek,
  • Erik J. Tollerud,
  • Benjamin Weiner,
  • J. Aguilar,
  • S. Ahlen,
  • D. Brooks,
  • A. P. Cooper,
  • A. de la Macorra,
  • A. Dey,
  • K. Fanning,
  • A. Font-Ribera,
  • S. Gontcho A Gontcho,
  • K. Honscheid,
  • T. Kisner,
  • Anthony Kremin,
  • M. Landriau,
  • Michael E. Levi,
  • P. Martini,
  • Aaron M. Meisner,
  • R. Miquel,
  • Adam D. Myers,
  • Jundan Nie,
  • N. Palanque-Delabrouille,
  • W. J. Percival,
  • F. Prada,
  • D. Schlegel,
  • M. Schubnell,
  • Gregory Tarlé,
  • M. Vargas-Magaña,
  • Zhimin Zhou,
  • H. Zou

DOI
https://doi.org/10.3847/1538-4357/ace902
Journal volume & issue
Vol. 954, no. 2
p. 149

Abstract

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We introduce the DESI LOW- Z Secondary Target Survey, which combines the wide-area capabilities of the Dark Energy Spectroscopic Instrument (DESI) with an efficient, low-redshift target selection method. Our selection consists of a set of color and surface brightness cuts, combined with modern machine-learning methods, to target low-redshift dwarf galaxies ( z < 0.03) between 19 < r < 21 with high completeness. We employ a convolutional neural network (CNN) to select high-priority targets. The LOW- Z survey has already obtained over 22,000 redshifts of dwarf galaxies ( M _* < 10 ^9 M _⊙ ), comparable to the number of dwarf galaxies discovered in the Sloan Digital Sky Survey DR8 and GAMA. As a spare fiber survey, LOW- Z currently receives fiber allocation for just ∼50% of its targets. However, we estimate that our selection is highly complete: for galaxies at z < 0.03 within our magnitude limits, we achieve better than 95% completeness with ∼1% efficiency using catalog-level photometric cuts. We also demonstrate that our CNN selections z < 0.03 galaxies from the photometric cuts subsample at least 10 times more efficiently while maintaining high completeness. The full 5 yr DESI program will expand the LOW- Z sample, densely mapping the low-redshift Universe, providing an unprecedented sample of dwarf galaxies, and providing critical information about how to pursue effective and efficient low-redshift surveys.

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