Removing imaging systematics from galaxy clustering measurements with Obiwan: application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxy sample

Author:

Kong Hui1ORCID,Burleigh Kaylan J23ORCID,Ross Ashley1ORCID,Moustakas John4,Chuang Chia-Hsun5ORCID,Comparat Johan6,de Mattia Arnaud7,du Mas des Bourboux Hélion8,Honscheid Klaus1,Lin Sichen9,Raichoor Anand710,Rossi Graziano11,Zhao Cheng7ORCID

Affiliation:

1. Department of Physics, The Ohio State University, 191 West Woodruff Avenue, Columbus, OH 43210, USA

2. Department of Astronomy, University of California at Berkeley, 501 Campbell Hall #3411, Berkeley, CA 94720, USA

3. Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA

4. Department of Physics and Astronomy, Siena College, 515 Loudon Road, Loudonville, NY 12211, USA

5. Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, 452 Lomita Mall, Stanford, CA 94305, USA

6. Max-Planck-Institut für extraterrestrische Physik (MPE), Giessenbachstrasse 1, D-85748 Garching bei München, Germany

7. CEA, Centre de Saclay, IRFU/SPP, F-91191 Gif-sur-Yvette, France

8. Department of Physics and Astronomy, University of Utah, 115 S 1400 E, Salt Lake City, UT 84112, USA

9. Department of Physics, Center for Cosmology and Particle Physics, New York University, 726 Broadway, New York, NY 10003, USA

10. Institute of Physics, Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Observatoire de Sauverny, CH-1290 Versoix, Switzerland

11. Department of Astronomy and Space Science, Sejong University, 209, Neungdong-ro, Gwangjin-gu Seoul, South Korea

Abstract

ABSTRACT This work presents the application of a new tool, Obiwan, which uses image simulations to determine the selection function of a galaxy redshift survey and calculate three-dimensional (3D) clustering statistics. Obiwan relies on a forward model of the process by which images of the night sky are transformed into a 3D large-scale structure catalogue, and offers several advantages over more traditional map-based techniques – such as operating on individual exposures and adopting a maximum likelihood approach. The photometric pipeline automatically detects and models galaxies and then generates a catalogue of such galaxies with detailed information for each one of them, including their location, redshift, and so on. Systematic biases in the imaging data are therefore imparted into the catalogues and must be accounted for in any scientific analysis of their information content. Obiwan simulates this process for samples selected from the Legacy Surveys imaging data. This imaging data will be used to select target samples for the next-generation Dark Energy Spectroscopic Instrument (DESI) experiment. Here, we apply Obiwan to a portion of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxies (ELGs). Systematic biases in the data are clearly identified and removed. We compare the 3D clustering results to those obtained by the map-based approach applied to the complete eBOSS Data Release 16 (DR16) sample. We find the results are consistent, thereby validating the eBOSS DR16 ELG catalogues, which is used to obtain cosmological results.

Funder

National Science Foundation

National Aeronautics and Space Administration

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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