Lamman, C;
Eisenstein, D;
Aguilar, JN;
Ahlen, S;
Brooks, D;
Claybaugh, T;
De La Macorra, A;
... Zhou, Z; + view all
(2024)
Redshift-dependent RSD bias from intrinsic alignment with DESI Year 1 spectra.
Monthly Notices of the Royal Astronomical Society
, 528
(4)
pp. 6559-6567.
10.1093/mnras/stae317.
Preview |
Text
stae317.pdf - Published Version Download (1MB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | Redshift-dependent RSD bias from intrinsic alignment with DESI Year 1 spectra |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/mnras/stae317 |
| Publisher version: | http://dx.doi.org/10.1093/mnras/stae317 |
| Language: | English |
| Additional information: | Copyright © 2024 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Methods: data analysis, large-scale structure of Universe, dark energy, observations |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10188501 |
Archive Staff Only
 |
View Item |
