nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics

We present a comparison of major methodologies of fast generating mock halo or galaxy catalogues. The comparison is done for two-point (power spectrum and two-point correlation function in real and redshift space), and the three-point clustering statistics (bispectrum and three-point correlation fun...

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Autor principal: Scóccola, Claudia Graciela
Formato: Articulo
Lenguaje:Inglés
Publicado: 2015
Materias:
Ciencias Astronómicas
Cosmology: observations
Distance scale
Large-scale structure of Universe
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/86143
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-86143
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Astronómicas
Cosmology: observations
Distance scale
Large-scale structure of Universe
spellingShingle Ciencias Astronómicas
Cosmology: observations
Distance scale
Large-scale structure of Universe
Scóccola, Claudia Graciela
nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
topic_facet Ciencias Astronómicas
Cosmology: observations
Distance scale
Large-scale structure of Universe
description We present a comparison of major methodologies of fast generating mock halo or galaxy catalogues. The comparison is done for two-point (power spectrum and two-point correlation function in real and redshift space), and the three-point clustering statistics (bispectrum and three-point correlation function). The reference catalogues are drawn from the BigMultiDark N-body simulation. Both friend-of-friends (including distinct haloes only) and spherical overdensity (including distinct haloes and subhalos) catalogues have been used with the typical number density of a large volume galaxy surveys. We demonstrate that a proper biasing model is essential for reproducing the power spectrum at quasi-linear and even smaller scales. With respect to various clustering statistics, a methodology based on perturbation theory and a realistic biasing model leads to very good agreement with N-body simulations. However, for the quadrupole of the correlation function or the power spectrum, only the method based on semi-N-body simulation could reach high accuracy (1 per cent level) at small scales, i.e. r < 25 h<SUP>-1</SUP> Mpc or k > 0.15 h Mpc<SUP>-1</SUP>. Full N-body solutions will remain indispensable to produce reference catalogues. Nevertheless, we have demonstrated that the more efficient approximate solvers can reach a few per cent accuracy in terms of clustering statistics at the scales interesting for the large-scale structure analysis. This makes them useful for massive production aimed at covariance studies, to scan large parameter spaces, and to estimate uncertainties in data analysis techniques, such as baryon acoustic oscillation reconstruction, redshift distortion measurements, etc.
format Articulo
Articulo
author Scóccola, Claudia Graciela
author_facet Scóccola, Claudia Graciela
author_sort Scóccola, Claudia Graciela
title nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
title_short nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
title_full nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
title_fullStr nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
title_full_unstemmed nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
title_sort nifty cosmology: galaxy/halo mock catalogue comparison project on clustering statistics
publishDate 2015
url http://sedici.unlp.edu.ar/handle/10915/86143
work_keys_str_mv AT scoccolaclaudiagraciela niftycosmologygalaxyhalomockcataloguecomparisonprojectonclusteringstatistics
bdutipo_str Repositorios
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