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Title: Blinded challenge for precision cosmology with large-scale structure: Results from effective field theory for the redshift-space galaxy power spectrum
Authors: Nishimichi, Takahiro  kyouindb  KAKEN_id  orcid (unconfirmed)
D’Amico, Guido
Ivanov, Mikhail M.
Senatore, Leonardo
Simonović, Marko
Takada, Masahiro
Zaldarriaga, Matias
Zhang, Pierre
Author's alias: 西道, 啓博
高田, 昌広
Issue Date: 15-Dec-2020
Publisher: American Physical Society (APS)
Journal title: Physical Review D
Volume: 102
Thesis number: 123541
Abstract: An accurate theoretical template for the galaxy power spectrum is key for the success of ongoing and future spectroscopic surveys. We examine to what extent the effective field theory (EFT) of large-scale structure is able to provide such a template and correctly estimate cosmological parameters. To that end, we initiate a blinded challenge to infer cosmological parameters from the redshift-space power spectrum of high-resolution mock catalogs mimicking the BOSS galaxy sample but covering a 100 times larger cumulative volume. This gigantic simulation volume allows us to separate systematic bias due to theoretical modeling from the statistical error due to sample variance. The challenge is to measure three unknown input parameters used in the simulation: the Hubble constant, the matter density fraction, and the clustering amplitude. We present analyses done by two independent teams, who have fitted the mock simulation data generated by yet another independent group. This allows us to avoid any confirmation bias by analyzers and to pin down possible tuning of the specific EFT implementations. Both independent teams have recovered the true values of the input parameters within subpercent statistical errors corresponding to the total simulation volume.
Description: 日本チームのバーチャル宇宙の解析に米国の2チームが挑戦 --宇宙の根源的な謎に迫る精密宇宙論への確かな一歩--. 京都大学プレスリリース. 2021-03-19.
Rights: Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
DOI(Published Version): 10.1103/PhysRevD.102.123541
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