Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 497, Issue 4, Pages 4587-4601Publisher
OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa2270
Keywords
methods: observational; catalogues; cosmology: observations
Categories
Funding
- National Science Foundation Graduate Research Fellowship [DGE -1745303]
- U.S. Department of Energy [DESC0013718]
- U.S. Department of Energy, Office of Science, Office of High Energy Physics [DE-SC002008]
- U.S. Department of Energy's Office of Science
- US National Science Foundation, Division of Astronomical Sciences
- Science and Technologies Facilities Council of the United Kingdom
- Gordon and Betty Moore Foundation
- Heising-Simons Foundation
- French Alternative Energies and Atomic Energy Commission (CEA)
- National Council of Science and Technology of Mexico
- Ministry of Economy of Spain
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility [DEAC02-05CH11231]
- Dark Energy Camera Legacy Survey (DECaLS
- NOAO) [2014B-0404]
- Beijing-Arizona Sky Survey (BASS
- NOAO) [2015A-0801]
- Mayall z-band Legacy Survey (MzLS
- NOAO) [2016A-0453]
- U.S. Department of Energy
- U.S. National Science Foundation
- Ministry of Science and Education of Spain
- Science and Technology Facilities Council of the United Kingdom
- Higher Education Funding Council for England
- National Center for Supercomputing Applications at the University of Illinois at UrbanaChampaign
- Kavli Institute of Cosmological Physics at the University of Chicago
- Center for Cosmology and Astro-Particle Physics at the Ohio State University
- Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
- Financiadora de Estudos e Projetos
- Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
- Ministerio da Ciencia, Tecnologia e Inovacao
- Deutsche Forschungsgemeinschaft
- Argonne National Laboratory
- University of California at Santa Cruz
- University of Cambridge
- Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid
- University of Chicago
- University College London
- DES-Brazil Consortium
- University of Edinburgh
- Eidgenossische Technische Hochschule (ETH) Zurich
- Fermi NationalAccelerator Laboratory
- University of Illinois atUrbanaChampaign
- Institut de Ciencies de l'Espai (IEEC/CSIC)
- Institut de Fisica d'Altes Energies
- Lawrence Berkeley National Laboratory
- Ludwig-Maximilians Universitat Munchen
- University of Michigan
- National Optical Astronomy Observatory
- University of Nottingham
- Ohio State University
- University of Pennsylvania
- University of Portsmouth
- SLAC National Accelerator Laboratory
- Stanford University
- University of Sussex
- Texas AM University
- National Astronomical Observatories of China
- Chinese Academy of Sciences [XDB09000000]
- Ministry of Finance
- External Cooperation Program of Chinese Academy of Sciences [114A11KYSB20160057]
- Chinese National Natural Science Foundation [11433005]
- NationalAeronautics and Space Administration
- Office of Science, Office of High Energy Physics of the U.S. Department of Energy [DE-AC02-05CH1123]
- National Energy Research Scientific Computing Center, a DOE Office of Science User Facility [DE-AC02-05CH1123]
- U.S. National Science Foundation, Division of Astronomical Sciences [AST-0950945]
- Fundacao Carlos Chagas Filho de Amparo
Ask authors/readers for more resources
The forthcoming Dark Energy Spectroscopic Instrument (DESI) experiment plans to measure the effects of dark energy on the expansion of the Universe and create a 3D map of the Universe using galaxies up to z similar to 1.6 and QSOs up to z similar to 3.5. In order to create this map, DESI will obtain spectroscopic redshifts of over 30 million objects; among them, a majority are [OII] emitting star-forming galaxies known as emission-line galaxies (ELGs). These ELG targets will be pre-selected by drawing a selection region on the g - r versus r - z colour-colour plot, where high-redshift ELGs form a separate locus from the lower redshift ELGs and interlopers. In this paper, we study the efficiency of three ELG target selection algorithms - the Final Design Report (FDR) cut based on the DEEP2 photometry, Number Density Modelling (NDM) and Random Forest - to determine how the combination of these three algorithms can be best used to yield a simple selection boundary that will be best suited to meet DESI's science goals. To do this, we selected 17 small patches in the DESI footprint where we run the three target selection algorithms to pre-select ELGs based on their photometry. We observed the pre-selected ELGs using the MMT Binospec, which is similar in functionality to the DESI instrument, to obtain their spectroscopic redshifts and fluxes of 1054 ELGs. By analysing the redshift and fluxing distribution of these galaxies, we find that although NDM performed the best, simple changes in the FDR definition would also yield sufficient performance.
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