Imaging systematics and clustering of DESI main targets
Abstract
ABSTRACT We evaluate the impact of imaging systematics on the clustering of luminous red galaxies (LRG), emission-line galaxies (ELG), and quasars (QSO) targeted for the upcoming Dark Energy Spectroscopic Instrument (DESI) survey. Using Data Release 7 of the DECam Legacy Survey, we study the effects of astrophysical foregrounds, stellar contamination, differences between north galactic cap and south galactic cap measurements, and variations in imaging depth, stellar density, galactic extinction, seeing, airmass, sky brightness, and exposure time before presenting survey masks and weights to mitigate these effects. With our sanitized samples in hand, we conduct a preliminary analysis of the clustering amplitude and evolution of the DESI main targets. From measurements of the angular correlation functions, we determine power law fits $$r_0 = 7.78 \pm 0.26\, h^{-1}$$Mpc, γ = 1.98 ± 0.02 for LRGs and $$r_0 = 5.45 \pm 0.1\, h^{-1}$$Mpc, γ = 1.54 ± 0.01 for ELGs. Additionally, from the angular power spectra, we measure the linear biases and model the scale-dependent biases in the weakly non-linear regime. Both sets of clustering measurements show good agreement with survey requirements for LRGs and ELGs, attesting that these samples will enable DESI to achieve precise cosmological constraints. We also present clustering as a function of magnitude, use cross-correlations with external spectroscopy to infer dN/dz and measure clustering as a function of luminosity, and probe higher order clustering statistics through counts-in-cells moments.
- Authors:
-
[1];
- Department of Physics, University of California, Berkeley, 366 LeConte Hall, Berkeley, CA 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 93720, USA
- Sorbonne Universités, UPMC Université Paris 06, Université Paris-Diderot, CNRS-IN2P3 LPNHE 4 Place Jussieu, F-75252, Paris Cedex 05, France
- NSF’s National Optical-Infrared Astronomy Research Laboratory, 950 N. Cherry Avenue, Tucson, AZ 85719, USA
- Department of Physics & Astronomy, University College London, Gower Street, London WC1E 6BT, UK
- Department of Physics and Astronomy, Siena College, 515 Loudon Road, Loudonville, NY 12211, USA
- Instituto de Astrofisica de Andalucía, Glorieta de la Astronomía, s/n, E-18008 Granada, Spain
- Physics Department, University of Michigan Ann Arbor, MI 48109, USA
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Univ. of Michigan, Ann Arbor, MI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF)
- OSTI Identifier:
- 1635422
- Alternate Identifier(s):
- OSTI ID: 1661607; OSTI ID: 1685021
- Grant/Contract Number:
- SC0017860; AC02-05CH11231; SC0019193; AC02-05CH1123; AST-0950945
- Resource Type:
- Published Article
- Journal Name:
- Monthly Notices of the Royal Astronomical Society
- Additional Journal Information:
- Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 496 Journal Issue: 2; Journal ID: ISSN 0035-8711
- Publisher:
- Royal Astronomical Society
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; large-scale structure of Universe
Citation Formats
Kitanidis, Ellie, White, Martin, Feng, Yu, Schlegel, David, Guy, Julien, Dey, Arjun, Landriau, Martin, Brooks, David, Levi, Michael, Moustakas, John, Prada, Francisco, Tarle, Gregory, and Weaver, Benjamin Alan. Imaging systematics and clustering of DESI main targets. United Kingdom: N. p., 2020.
Web. doi:10.1093/mnras/staa1621.
Kitanidis, Ellie, White, Martin, Feng, Yu, Schlegel, David, Guy, Julien, Dey, Arjun, Landriau, Martin, Brooks, David, Levi, Michael, Moustakas, John, Prada, Francisco, Tarle, Gregory, & Weaver, Benjamin Alan. Imaging systematics and clustering of DESI main targets. United Kingdom. https://doi.org/10.1093/mnras/staa1621
Kitanidis, Ellie, White, Martin, Feng, Yu, Schlegel, David, Guy, Julien, Dey, Arjun, Landriau, Martin, Brooks, David, Levi, Michael, Moustakas, John, Prada, Francisco, Tarle, Gregory, and Weaver, Benjamin Alan. Wed .
"Imaging systematics and clustering of DESI main targets". United Kingdom. https://doi.org/10.1093/mnras/staa1621.
@article{osti_1635422,
title = {Imaging systematics and clustering of DESI main targets},
author = {Kitanidis, Ellie and White, Martin and Feng, Yu and Schlegel, David and Guy, Julien and Dey, Arjun and Landriau, Martin and Brooks, David and Levi, Michael and Moustakas, John and Prada, Francisco and Tarle, Gregory and Weaver, Benjamin Alan},
abstractNote = {ABSTRACT We evaluate the impact of imaging systematics on the clustering of luminous red galaxies (LRG), emission-line galaxies (ELG), and quasars (QSO) targeted for the upcoming Dark Energy Spectroscopic Instrument (DESI) survey. Using Data Release 7 of the DECam Legacy Survey, we study the effects of astrophysical foregrounds, stellar contamination, differences between north galactic cap and south galactic cap measurements, and variations in imaging depth, stellar density, galactic extinction, seeing, airmass, sky brightness, and exposure time before presenting survey masks and weights to mitigate these effects. With our sanitized samples in hand, we conduct a preliminary analysis of the clustering amplitude and evolution of the DESI main targets. From measurements of the angular correlation functions, we determine power law fits $r_0 = 7.78 \pm 0.26\, h^{-1}$Mpc, γ = 1.98 ± 0.02 for LRGs and $r_0 = 5.45 \pm 0.1\, h^{-1}$Mpc, γ = 1.54 ± 0.01 for ELGs. Additionally, from the angular power spectra, we measure the linear biases and model the scale-dependent biases in the weakly non-linear regime. Both sets of clustering measurements show good agreement with survey requirements for LRGs and ELGs, attesting that these samples will enable DESI to achieve precise cosmological constraints. We also present clustering as a function of magnitude, use cross-correlations with external spectroscopy to infer dN/dz and measure clustering as a function of luminosity, and probe higher order clustering statistics through counts-in-cells moments.},
doi = {10.1093/mnras/staa1621},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 2,
volume = 496,
place = {United Kingdom},
year = {Wed Jun 10 00:00:00 EDT 2020},
month = {Wed Jun 10 00:00:00 EDT 2020}
}
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