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

Abstract

This article 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 thosemore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1];  [3]; ORCiD logo [4];  [5];  [6];  [7];  [1];  [8];  [9];  [10]; ORCiD logo [11]
  1. The Ohio State Univ., Columbus, OH (United States)
  2. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Siena College, Loudonville, NY (United States)
  4. Stanford Univ., CA (United States)
  5. Max-Planck-Institut für extraterrestrische Physik (MPE), Garching bei München (Germany)
  6. Alternative Energies and Atomic Energy Commission (CEA), Gif-sur-Yvette (France)
  7. Univ. of Utah, Salt Lake City, UT (United States)
  8. New York Univ. (NYU), NY (United States)
  9. Alternative Energies and Atomic Energy Commission (CEA), Gif-sur-Yvette (France); Ecole Polytechnique Federale Lausanne (Switzerland)
  10. Sejong Univ., Seoul (Korea, Republic of)
  11. Alternative Energies and Atomic Energy Commission (CEA), Gif-sur-Yvette (France)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF); National Aeronautics and Space Administration (NASA)
OSTI Identifier:
1837367
Grant/Contract Number:  
AC02-05CH11231; AST-95-09298; AST-0071048; AST-0507428; AST-0507483; NNG04GC89G
Resource Type:
Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 499; Journal Issue: 3; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; large-scale structure of Universe; cosmology; observations

Citation Formats

Kong, Hui, Burleigh, Kaylan J., Ross, Ashley, Moustakas, John, Chuang, Chia-Hsun, Comparat, Johan, de Mattia, Arnaud, du Mas des Bourboux, Hélion, Honscheid, Klaus, Lin, Sichen, Raichoor, Anand, Rossi, Graziano, and Zhao, Cheng. Removing imaging systematics from galaxy clustering measurements with Obiwan: application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxy sample. United States: N. p., 2020. Web. doi:10.1093/mnras/staa2742.
Kong, Hui, Burleigh, Kaylan J., Ross, Ashley, Moustakas, John, Chuang, Chia-Hsun, Comparat, Johan, de Mattia, Arnaud, du Mas des Bourboux, Hélion, Honscheid, Klaus, Lin, Sichen, Raichoor, Anand, Rossi, Graziano, & Zhao, Cheng. Removing imaging systematics from galaxy clustering measurements with Obiwan: application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxy sample. United States. https://doi.org/10.1093/mnras/staa2742
Kong, Hui, Burleigh, Kaylan J., Ross, Ashley, Moustakas, John, Chuang, Chia-Hsun, Comparat, Johan, de Mattia, Arnaud, du Mas des Bourboux, Hélion, Honscheid, Klaus, Lin, Sichen, Raichoor, Anand, Rossi, Graziano, and Zhao, Cheng. Sat . "Removing imaging systematics from galaxy clustering measurements with Obiwan: application to the SDSS-IV extended Baryon Oscillation Spectroscopic Survey emission-line galaxy sample". United States. https://doi.org/10.1093/mnras/staa2742. https://www.osti.gov/servlets/purl/1837367.
@article{osti_1837367,
title = {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, Hui and Burleigh, Kaylan J. and Ross, Ashley and Moustakas, John and Chuang, Chia-Hsun and Comparat, Johan and de Mattia, Arnaud and du Mas des Bourboux, Hélion and Honscheid, Klaus and Lin, Sichen and Raichoor, Anand and Rossi, Graziano and Zhao, Cheng},
abstractNote = {This article 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.},
doi = {10.1093/mnras/staa2742},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 3,
volume = 499,
place = {United States},
year = {Sat Sep 19 00:00:00 EDT 2020},
month = {Sat Sep 19 00:00:00 EDT 2020}
}

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Mitigating contamination in LSS surveys: a comparison of methods
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