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Redshift-dependent RSD bias from intrinsic alignment with DESI Year 1 spectra.

Authors :
Lamman, Claire
Eisenstein, Daniel
Aguilar, Jessica Nicole
Ahlen, Steven
Brooks, David
Claybaugh, Todd
de la Macorra, Axel
Dey, Arjun
Dey, Biprateep
Doel, Peter
Ferraro, Simone
Font-Ribera, Andreu
Forero-Romero, Jaime E
Gontcho, Satya Gontcho A
Guy, Julien
Kehoe, Robert
Kremin, Anthony
Le Guillou, Laurent
Levi, Michael
Manera, Marc
Source :
Monthly Notices of the Royal Astronomical Society. 3/15/2024, Vol. 528 Issue 4, p6559-6567. 9p.
Publication Year :
2024

Abstract

We estimate the redshift-dependent, anisotropic clustering signal in the Dark Energy Spectroscopic Instrument (DESI) Year 1 Survey created by tidal alignments of Luminous Red Galaxies (LRGs) and a selection-induced galaxy orientation bias. To this end, we measured the correlation between LRG shapes and the tidal field with DESI's Year 1 redshifts, as traced by LRGs and Emission-Line Galaxies. We also estimate the galaxy orientation bias of LRGs caused by DESI's aperture-based selection, and find it to increase by a factor of seven between redshifts 0.4−1.1 due to redder, fainter galaxies falling closer to DESI's imaging selection cuts. These effects combine to dampen measurements of the quadrupole of the correlation function (ξ2) caused by structure growth on scales of 10–80 h −1 Mpc by about 0.15 per cent for low redshifts (0.4 < z < 0.6) and 0.8 per cent for high (0.8 < z < 1.1), a significant fraction of DESI's error budget. We provide estimates of the ξ2 signal created by intrinsic alignments that can be used to correct this effect, which is necessary to meet DESI's forecasted precision on measuring the growth rate of structure. While imaging quality varies across DESI's footprint, we find no significant difference in this effect between imaging regions in the Legacy Imaging Survey. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00358711
Volume :
528
Issue :
4
Database :
Academic Search Index
Journal :
Monthly Notices of the Royal Astronomical Society
Publication Type :
Academic Journal
Accession number :
175912961
Full Text :
https://doi.org/10.1093/mnras/stae317