1. Identity statement | |
Reference Type | Journal Article |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W/3GDR238 |
Repository | sid.inpe.br/plutao/2014/06.03.23.43 |
Last Update | 2015:02.11.10.59.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/plutao/2014/06.03.23.43.57 |
Metadata Last Update | 2021:03.05.19.01.39 (UTC) administrator |
DOI | 10.1088/1475-7516/2014/05/039 |
ISSN | 1475-7516 |
Label | lattes: 6692996818863210 1 PennaLimaMaklWuen:2014:BiCoPa |
Citation Key | LimaMaklSouz:2014:BiCoPa |
Title | Biases on cosmological parameter estimators from galaxy cluster number counts |
Year | 2014 |
Access Date | 2024, May 19 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 1272 KiB |
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2. Context | |
Author | 1 Lima, Mariana Penna 2 Makler, Martín 3 Souza, Carlos Alexandre Wuensche de |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JGQK |
Group | 1 DAS-CEA-INPE-MCTI-GOV-BR 2 3 GB-GB-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Centro Brasileiro de Pesquisas Físicas (CBPF) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 mariana.lima@inpe.br 2 martin@cbpf.br 3 ca.wuensche@inpe.br |
e-Mail Address | marcelo.pazos@inpe.br |
Journal | Journal of Cosmology and Astroparticle Physics |
Volume | 2014 |
Number | 05 |
Pages | 039-039 |
Secondary Mark | A1_ASTRONOMIA_/_FÍSICA A1_MATEMÁTICA_/_PROBABILIDADE_E A1_ENGENHARIAS_III B1_GEOCIÊNCIAS |
History (UTC) | 2014-06-03 23:43:57 :: lattes -> administrator :: 2021-03-05 19:01:39 :: administrator -> marcelo.pazos@inpe.br :: 2014 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | finaldraft |
Keywords | cluster counts cosmological parameters from LSS |
Abstract | Sunyaev-Zeldovich (SZ) surveys are promising probes of cosmology - in particular for Dark Energy (DE) -, given their ability to find distant clusters and provide estimates for their mass. However, current SZ catalogs contain tens to hundreds of objects and maximum likelihood estimators may present biases for such sample sizes. In this work we study estimators from cluster abundance for some cosmological parameters, in particular the DE equation of state parameter w0, the amplitude of density fluctuations σ8, and the Dark Matter density parameter Ωc. We begin by deriving an unbinned likelihood for cluster number counts, showing that it is equivalent to the one commonly used in the literature. We use the Monte Carlo approach to determine the presence of bias using this likelihood and study its behavior with both the area and depth of the survey, and the number of cosmological parameters fitted. Our fiducial models are based on the South Pole Telescope (SPT) SZ survey. Assuming perfect knowledge of mass and redshift some estimators have non-negligible biases. For example, the bias of σ8 corresponds to about 40% of its statistical error bar when fitted together with Ωc and w0. Including a SZ mass-observable relation decreases the relevance of the bias, for the typical sizes of current SZ surveys. Considering a joint likelihood for cluster abundance and the so-called distance priors, we obtain that the biases are negligible compared to the statistical errors. However, we show that the biases from SZ estimators do not go away with increasing sample sizes and they may become the dominant source of error for an all sky survey at the SPT sensitivity. Finally, we compute the confidence regions for the cosmological parameters using Fisher matrix and profile likelihood approaches, showing that they are compatible with the Monte Carlo ones. The results of this work validate the use of the current maximum likelihood methods for present SZ surveys, but highlight the need for further studies for upcoming experiments. To perform the analyses of this work, we developed fast, accurate, and adaptable codes for cluster counts in the framework of the Numerical Cosmology Library. |
Area | CEA |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDAS > Biases on cosmological... |
Arrangement 2 | urlib.net > Fonds > Produção anterior à 2021 > GBDIR > Biases on cosmological... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGP3W/3GDR238 |
zipped data URL | http://urlib.net/zip/8JMKD3MGP3W/3GDR238 |
Language | en |
User Group | administrator lattes marcelo.pazos@inpe.br |
Reader Group | administrator marcelo.pazos@inpe.br |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft12 |
Read Permission | allow from all |
Update Permission | not transferred |
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5. Allied materials | |
Linking | Trabalho não Vinculado à Tese/Dissertação |
Mirror Repository | iconet.com.br/banon/2006/11.26.21.31 |
Next Higher Units | 8JMKD3MGPCW/3ETR8EH 8JMKD3MGPCW/449S7R5 |
Citing Item List | sid.inpe.br/bibdigital/2021/03.05.18.59 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarytype url |
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7. Description control | |
e-Mail (login) | marcelo.pazos@inpe.br |
update | |
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