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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/479BM3H
Repositorysid.inpe.br/mtc-m21d/2022/07.13.17.04   (restricted access)
Last Update2022:07.13.17.04.04 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/07.13.17.04.04
Metadata Last Update2023:01.03.16.46.09 (UTC) administrator
DOI10.1140/epjc/s10052-022-10561-0
ISSN1434-6044
Citation KeyAvilaBernBoniNune:2022:InS8Ga
TitleInferring S-8(z) and gamma(z) with cosmic growth rate measurements using machine learning
Year2022
MonthJuly
Access Date2024, May 13
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size539 KiB
2. Context
Author1 Avila, Felipe
2 Bernui, Armando
3 Bonilla, Alexander
4 Nunes, Rafael da Costa
Group1
2
3
4 DIAST-CGCE-INPE-MCTI-GOV-BR
Affiliation1 Observatório Nacional (ON)
2 Observatório Nacional (ON)
3 Universidade Federal de Juiz de Fora (UFJF)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 felipeavila@on.br
2
3
4 rafadcnunes@gmail.com
JournalEuropean Physical Journal C
Volume82
Number7
Pagese594
Secondary MarkA2_INTERDISCIPLINAR A2_BIOTECNOLOGIA A2_ASTRONOMIA_/_FÍSICA B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_ENGENHARIAS_IV
History (UTC)2022-07-13 17:04:49 :: simone -> administrator :: 2022
2023-01-03 16:46:09 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractMeasurements of the cosmological parameter S-8 provided by cosmic microwave background and large scale structure data reveal some tension between them, suggesting that the clustering features of matter in these early and late cosmological tracers could be different. In this work, we use a supervised learning method designed to solve Bayesian approach to regression, known as Gaussian Processes regression, to quantify the cosmic evolution of S-8 up to z similar to 1.5. For this, we propose a novel approach to find firstly the evolution of the function S-8(z), then we find the function S-8(z). As a sub-product we obtain a minimal cosmological model-dependent sigma(8)(z = 0) and S-8(z = 0) estimates. We select independent data measurements of the growth rate f (z) and of [f sigma(8)] (z) according to criteria of non-correlated data, then we perform the Gaussian reconstruction of these data sets to obtain the cosmic evolution of sigma(8)(z), S-8(z), and the growth index gamma(z). Our statistical analyses show that S-8(z) is compatible with Planck ACDM cosmology; when evaluated at the present time we find sigma(8)(z = 0) = 0.766 +/- 0.116 and S-8(z = 0) = 0.732 +/- 0.115. Applying our methodology to the growth index, we find gamma(z = 0) = 0.465 +/- 0.140. Moreover, we compare our results with others recently obtained in the literature. In none of these functions, i.e. sigma(8)(Z), S-8(z), and gamma(z), do we find significant deviations from the standard cosmology predictions.
AreaCEA
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > Inferring S-8(z) and...
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4. Conditions of access and use
Target FileAvila2022_Article_InferringS8ZS8ZAndGammaZΓZWith.pdf
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
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Next Higher Units8JMKD3MGPCW/46KTFK8
DisseminationWEBSCI; PORTALCAPES; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
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