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research article

Optimal reconstruction of baryon acoustic oscillations for DESI 2024

Paillas, E.
•
Ding, Z.
•
Chen, X.
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January 1, 2025
Journal of Cosmology and Astroparticle Physics

Baryon acoustic oscillations (BAO) provide a robust standard ruler to measure the expansion history of the Universe through galaxy clustering. Density-field reconstruction is now a widely adopted procedure for increasing the precision and accuracy of the BAO detection. With the goal of finding the optimal reconstruction settings to be used in the DESI 2024 galaxy BAO analysis, we assess the sensitivity of the post-reconstruction BAO constraints to different choices in our analysis configuration, performing tests on blinded data from the first year of DESI observations (DR1), as well as on mocks that mimic the expected clustering and selection properties of the DESI DR1 target samples. Overall, we find that BAO constraints remain robust against multiple aspects in the reconstruction process, including the choice of smoothing scale, treatment of redshift-space distortions, fiber assignment incompleteness, and parameterizations of the BAO model. We also present a series of tests that DESI followed in order to assess the maturity of the end-to-end galaxy BAO pipeline before the unblinding of the large-scale structure catalogs.

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Type
research article
DOI
10.1088/1475-7516/2025/01/142
Scopus ID

2-s2.0-85219730240

Author(s)
Paillas, E.
•
Ding, Z.
•
Chen, X.
•
Seo, H.
•
Padmanabhan, N.
•
de Mattia, A.
•
Ross, A. J.
•
Nadathur, S.
•
Howlett, C.
•
Aguilar, J.
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Date Issued

2025-01-01

Published in
Journal of Cosmology and Astroparticle Physics
Volume

2025

Issue

1

Article Number

142

Subjects

baryon acoustic oscillations

•

cosmological parameters from LSS

•

redshift surveys

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASTRO  
FunderFunding(s)Grant NumberGrant URL

National Key R&D Program of China

2023YFA1607800;2023YFA1607802

National Natural Science Foundation of China (NSFC)

12273020;11621303

China Manned Space Project

CMS-CSST-2021-A03

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Available on Infoscience
March 14, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/247792
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