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Combined full shape analysis of BOSS galaxies and eBOSS quasars using an iterative emulator.

Authors :
Neveux, Richard
Burtin, Etienne
Ruhlmann-Kleider, Vanina
de Mattia, Arnaud
Semenaite, Agne
Dawson, Kyle S
de la Macorra, Axel
Percival, Will J
Rossi, Graziano
Schneider, Donald P
Zhao, Gong-Bo
Source :
Monthly Notices of the Royal Astronomical Society. Oct2022, Vol. 516 Issue 2, p1910-1922. 13p.
Publication Year :
2022

Abstract

Standard full-shape clustering analyses in Fourier space rely on a fixed power spectrum template, defined at the fiducial cosmology used to convert redshifts into distances, and compress the cosmological information into the Alcock–Paczynski parameters and the linear growth rate of structure. In this paper, we propose an analysis method that operates directly in the cosmology parameter space and varies the power spectrum template accordingly at each tested point. Predictions for the power spectrum multipoles from the TNS model are computed at different cosmologies in the framework of |$\Lambda \rm {CDM}$|⁠. Applied to the final eBOSS QSO and LRG samples together with the low- z DR12 BOSS galaxy sample, our analysis results in a set of constraints on the cosmological parameters Ωcdm, H 0, σ8, Ωb, and ns. To reduce the number of computed models, we construct an iterative process to sample the likelihood surface, where each iteration consists of a Gaussian process regression. This method is validated with mocks from N -body simulations. From the combined analysis of the (e)BOSS data, we obtain the following constraints: σ8 = 0.877 ± 0.049 and |$\Omega _{\rm m}=0.304^{+0.016}_{-0.010}$| without any external prior. The eBOSS quasar sample alone shows a 3.1σ discrepancy compared to the Planck prediction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00358711
Volume :
516
Issue :
2
Database :
Academic Search Index
Journal :
Monthly Notices of the Royal Astronomical Society
Publication Type :
Academic Journal
Accession number :
159349776
Full Text :
https://doi.org/10.1093/mnras/stac2114