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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/47UCHC8
Repositorysid.inpe.br/mtc-m21d/2022/11.07.18.37
Last Update2022:11.07.18.37.26 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/11.07.18.37.26
Metadata Last Update2023:01.03.16.46.23 (UTC) administrator
DOI10.1051/0004-6361/202243158
ISSN0004-6361
1432-0746
Citation KeyNovaesZMALWDRSLABQVWCFMS:2022:ReBASi
TitleThe BINGO project VIII. Recovering the BAO signal in Hi intensity mapping simulations
Year2022
MonthOct.
Access Date2024, May 14
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1111 KiB
2. Context
Author 1 Novaes, Camila Paiva
 2 Zhang, Jiajun
 3 Mericia, Eduardo Jubini de
 4 Abdalla, Filipe B.
 5 Liccardo, Vincenzo
 6 Wuensche, Carlos Alexandre
 7 Delabrouille, Jacques
 8 Remazeilles, Mathieu
 9 Santos, Larissa
10 Landim, Ricardo G.
11 Abdalla, Elcio
12 Barosi, Luciano
13 Queiroz, Amilcar R.
14 Villela Neto, Thyrso
15 Wang, Bin
16 Costa, Andre A.
17 Ferreira, Elisa G. M.
18 Marins, Alessandro
19 Santos, Marcelo V. dos
Resume Identifier 1
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 3
 4
 5
 6
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 8
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14 8JMKD3MGP5W/3C9JJA6
Group 1 DIAST-CGCE-INPE-MCTI-GOV-BR
 2
 3 AST-CEA-DIPGR-INPE-MCTI-GOV-BR
 4
 5 DIAST-CGCE-INPE-MCTI-GOV-BR
 6 DIAST-CGCE-INPE-MCTI-GOV-BR
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14 DIAST-CGCE-INPE-MCTI-GOV-BR
Affiliation 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 Institute for Basic Science (IBS)
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Universidade de São Paulo (USP)
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 Instituto Nacional de Pesquisas Espaciais (INPE)
 7 Université Paris Diderot
 8 The University of Manchester
 9 Yangzhou University
10 Technische Universität München
11 Universidade de São Paulo (USP)
12 Universidade Federal de Campina Grande (UFCG)
13 Universidade Federal de Campina Grande (UFCG)
14 Instituto Nacional de Pesquisas Espaciais (INPE)
15 Yangzhou University
16 Yangzhou University
17 Universidade de São Paulo (USP)
18 Universidade de São Paulo (USP)
19 Universidade Federal de Campina Grande (UFCG)
Author e-Mail Address 1 camilapnovaes@gmail.com
 2
 3 ejubini@gmail.com
 4
 5 vic2000@hotmail.it
 6 cawuensche@gmail.com
JournalAstronomy and Astrophysics
Volume666
PagesA83
Secondary MarkA1_GEOCIÊNCIAS A1_ENGENHARIAS_III A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA A2_INTERDISCIPLINAR A2_ENGENHARIAS_IV A2_ASTRONOMIA_/_FÍSICA B2_ENSINO C_ENGENHARIAS_II
History (UTC)2022-11-07 18:37:26 :: simone -> administrator ::
2023-01-03 16:46:23 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordslarge-scale structure of Universe
AbstractContext. A new and promising technique for observing the Universe and study the dark sector is the intensity mapping of the redshifted 21 cm line of neutral hydrogen (Hi). The Baryon Acoustic Oscillations [BAO] from Integrated Neutral Gas Observations (BINGO) radio telescope will use the 21 cm line to map the Universe in the redshift range 0.127 <= z <= 0.449 in a tomographic approach, with the main goal of probing the BAO. Aims. This work presents the forecasts of measuring the transversal BAO signal during the BINGO phase 1 operation. Methods. We used two clustering estimators: the two-point angular correlation function (ACF) in configuration space, and the angular power spectrum (APS) in harmonic space. We also used a template-based method to model the ACF and APS estimated from simulations of the BINGO region and to extract the BAO information. The tomographic approach allows the combination of redshift bins to improve the template fitting performance. We computed the ACF and APS for each of the 30 redshift bins and measured the BAO signal in three consecutive redshift blocks (lower, intermediate, and higher) of ten channels each. Robustness tests were used to evaluate several aspects of the BAO fitting pipeline for the two clustering estimators. Results. We find that each clustering estimator shows different sensitivities to specific redshift ranges, although both of them perform better at higher redshifts. In general, the APS estimator provides slightly better estimates, with smaller uncertainties and a higher probability of detecting the BAO signal, achieving greater than or similar to 90% at higher redshifts. We investigate the contribution from instrumental noise and residual foreground signals and find that the former has the greater impact. It becomes more significant with increasing redshift, in particular for the APS estimator. When noise is included in the analysis, the uncertainty increases by up to a factor of similar to 2.2 at higher redshifts. Foreground residuals, in contrast, do not significantly affect our final uncertainties. Conclusions. In summary, our results show that even when semi-realistic systematic effects are included, BINGO has the potential to successfully measure the BAO scale at radio frequencies.
AreaCEA
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > AST > The BINGO project...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > The BINGO project...
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data URLhttp://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/47UCHC8
zipped data URLhttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/47UCHC8
Languageen
Target Fileaa43158-22.pdf
User Groupsimone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F2NE4L
8JMKD3MGPCW/46KTFK8
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.15.00.58 1
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2021/06.04.03.40
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