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Primordial non-Gaussianity from the completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey – I: Catalogue preparation and systematic mitigation

Rezaie, Mehdi; Ross, Ashley J; Seo, Hee-Jong; Mueller, Eva-Maria; Percival, Will J; Merz, Grant; Katebi, Reza; Bunescu, Razvan C; Bautista, Julian; Brownstein, Joel R; Burtin, Etienne; Dawson, Kyle; Gil-Marín, Héctor; Hou, Jiamin; Lyke, Eleanor B; de la Macorra, Axel; Rossi, Graziano; Schneider, Donald P; Zarrouk, Pauline; Zhao, Gong-Bo

Primordial non-Gaussianity from the completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey – I: Catalogue preparation and systematic mitigation Thumbnail


Authors

Mehdi Rezaie

Ashley J Ross

Hee-Jong Seo

Eva-Maria Mueller

Will J Percival

Grant Merz

Reza Katebi

Razvan C Bunescu

Julian Bautista

Joel R Brownstein

Etienne Burtin

Kyle Dawson

Héctor Gil-Marín

Jiamin Hou

Eleanor B Lyke

Axel de la Macorra

Graziano Rossi

Donald P Schneider

Gong-Bo Zhao



Abstract

We investigate the large-scale clustering of the final spectroscopic sample of quasars from the recently completed extended Baryon Oscillation Spectroscopic Survey (eBOSS). The sample contains 343 708 objects in the redshift range 0.8 < z < 2.2 and 72 667 objects with redshifts 2.2 < z < 3.5, covering an effective area of 4699deg2⁠. We develop a neural network-based approach to mitigate spurious fluctuations in the density field caused by spatial variations in the quality of the imaging data used to select targets for follow-up spectroscopy. Simulations are used with the same angular and radial distributions as the real data to estimate covariance matrices, perform error analyses, and assess residual systematic uncertainties. We measure the mean density contrast and cross-correlations of the eBOSS quasars against maps of potential sources of imaging systematics to address algorithm effectiveness, finding that the neural network-based approach outperforms standard linear regression. Stellar density is one of the most important sources of spurious fluctuations, and a new template constructed using data from the Gaia spacecraft provides the best match to the observed quasar clustering. The end-product from this work is a new value-added quasar catalogue with the improved weights to correct for non-linear imaging systematic effects, which will be made public. Our quasar catalogue is used to measure the local-type primordial non-Gaussianity in a companion paper.

Citation

Rezaie, M., Ross, A. J., Seo, H., Mueller, E., Percival, W. J., Merz, G., …Zhao, G. (2021). Primordial non-Gaussianity from the completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey – I: Catalogue preparation and systematic mitigation. Monthly Notices of the Royal Astronomical Society, 506(3), 3439-3454. https://doi.org/10.1093/mnras/stab1730

Journal Article Type Article
Acceptance Date Jun 14, 2021
Online Publication Date Jul 18, 2021
Publication Date 2021-09
Deposit Date Nov 16, 2021
Publicly Available Date Mar 28, 2024
Journal Monthly Notices of the Royal Astronomical Society
Print ISSN 0035-8711
Electronic ISSN 1365-2966
Publisher Royal Astronomical Society
Peer Reviewed Peer Reviewed
Volume 506
Issue 3
Pages 3439-3454
DOI https://doi.org/10.1093/mnras/stab1730

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Copyright Statement
This article has been accepted for publication in Monthly notices of the Royal Astronomical Society. ©: 2021 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.





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