Combining cosmological constraints from cluster counts and galaxy clustering
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1017/S1743921314013556 http://hdl.handle.net/11449/172577 |
Resumo: | Present and future large scale surveys offer promising probes of cosmology. For example the Dark Energy Survey (DES) is forecast to detect ~300 millions galaxies and thousands clusters up to redshift ~1.3. I here show ongoing work to combine two probes of large scale structure : cluster number counts and galaxy 2-point function (in real or harmonic space). The halo model (coupled to a Halo Occupation Distribution) can be used to model the cross-covariance between these probes, and I introduce a diagrammatic method to compute easily the different terms involved. Furthermore, I compute the joint non-Gaussian likelihood, using the Gram-Charlier series. Then I show how to extend the methods of Bayesian hyperparameters to Poissonian distributions, in a first step to include them in this joint likelihood. |
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Combining cosmological constraints from cluster counts and galaxy clusteringcosmologygalaxies: statisticsjoint probesmethods: data analysisPresent and future large scale surveys offer promising probes of cosmology. For example the Dark Energy Survey (DES) is forecast to detect ~300 millions galaxies and thousands clusters up to redshift ~1.3. I here show ongoing work to combine two probes of large scale structure : cluster number counts and galaxy 2-point function (in real or harmonic space). The halo model (coupled to a Halo Occupation Distribution) can be used to model the cross-covariance between these probes, and I introduce a diagrammatic method to compute easily the different terms involved. Furthermore, I compute the joint non-Gaussian likelihood, using the Gram-Charlier series. Then I show how to extend the methods of Bayesian hyperparameters to Poissonian distributions, in a first step to include them in this joint likelihood.ICTP South American Institute for Research Instituto de Física Teórica - UNESP, Rua Dr. Bento Teobaldo Ferraz 271ICTP South American Institute for Research Instituto de Física Teórica - UNESP, Rua Dr. Bento Teobaldo Ferraz 271Universidade Estadual Paulista (Unesp)Lacasa, F. [UNESP]2018-12-11T17:01:11Z2018-12-11T17:01:11Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article216-218application/pdfhttp://dx.doi.org/10.1017/S1743921314013556Proceedings of the International Astronomical Union, v. 10, p. 216-218.1743-92211743-9213http://hdl.handle.net/11449/17257710.1017/S17439213140135562-s2.0-849589648972-s2.0-84958964897.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the International Astronomical Union0,1170,117info:eu-repo/semantics/openAccess2023-10-01T06:03:04Zoai:repositorio.unesp.br:11449/172577Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-01T06:03:04Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Combining cosmological constraints from cluster counts and galaxy clustering |
title |
Combining cosmological constraints from cluster counts and galaxy clustering |
spellingShingle |
Combining cosmological constraints from cluster counts and galaxy clustering Lacasa, F. [UNESP] cosmology galaxies: statistics joint probes methods: data analysis |
title_short |
Combining cosmological constraints from cluster counts and galaxy clustering |
title_full |
Combining cosmological constraints from cluster counts and galaxy clustering |
title_fullStr |
Combining cosmological constraints from cluster counts and galaxy clustering |
title_full_unstemmed |
Combining cosmological constraints from cluster counts and galaxy clustering |
title_sort |
Combining cosmological constraints from cluster counts and galaxy clustering |
author |
Lacasa, F. [UNESP] |
author_facet |
Lacasa, F. [UNESP] |
author_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Lacasa, F. [UNESP] |
dc.subject.por.fl_str_mv |
cosmology galaxies: statistics joint probes methods: data analysis |
topic |
cosmology galaxies: statistics joint probes methods: data analysis |
description |
Present and future large scale surveys offer promising probes of cosmology. For example the Dark Energy Survey (DES) is forecast to detect ~300 millions galaxies and thousands clusters up to redshift ~1.3. I here show ongoing work to combine two probes of large scale structure : cluster number counts and galaxy 2-point function (in real or harmonic space). The halo model (coupled to a Halo Occupation Distribution) can be used to model the cross-covariance between these probes, and I introduce a diagrammatic method to compute easily the different terms involved. Furthermore, I compute the joint non-Gaussian likelihood, using the Gram-Charlier series. Then I show how to extend the methods of Bayesian hyperparameters to Poissonian distributions, in a first step to include them in this joint likelihood. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 2018-12-11T17:01:11Z 2018-12-11T17:01:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1017/S1743921314013556 Proceedings of the International Astronomical Union, v. 10, p. 216-218. 1743-9221 1743-9213 http://hdl.handle.net/11449/172577 10.1017/S1743921314013556 2-s2.0-84958964897 2-s2.0-84958964897.pdf |
url |
http://dx.doi.org/10.1017/S1743921314013556 http://hdl.handle.net/11449/172577 |
identifier_str_mv |
Proceedings of the International Astronomical Union, v. 10, p. 216-218. 1743-9221 1743-9213 10.1017/S1743921314013556 2-s2.0-84958964897 2-s2.0-84958964897.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings of the International Astronomical Union 0,117 0,117 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
216-218 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964388252188672 |