Improving the modelling of redshift-space distortions - II. A pairwise velocity model covering large and small scales

Davide Bianchi 1 Will Percival Julien Bel 2, 3
1 ING - IRCELYON-Ingéniérie, du matériau au réacteur
IRCELYON - Institut de recherches sur la catalyse et l'environnement de Lyon
2 CPT - E3 Cosmologie
CPT - Centre de Physique Théorique - UMR 7332
Abstract : We develop a model for the redshift-space correlation function, valid for both dark matter particles and halos on scales $>5\,h^{-1}$Mpc. In its simplest formulation, the model requires the knowledge of the first three moments of the line-of-sight pairwise velocity distribution plus two well-defined dimensionless parameters. The model is obtained by extending the Gaussian-Gaussianity prescription for the velocity distribution, developed in a previous paper, to a more general concept allowing for local skewness, which is required to match simulations. We compare the model with the well known Gaussian streaming model and the more recent Edgeworth streaming model. Using N-body simulations as a reference, we show that our model gives a precise description of the redshift-space clustering over a wider range of scales. We do not discuss the theoretical prescription for the evaluation of the velocity moments, leaving this topic to further investigation.
Type de document :
Article dans une revue
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P - Oxford Open Option A, 2016, 463 (4), pp.3783-3798. <10.1093/mnras/stw2243>
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https://hal.archives-ouvertes.fr/hal-01277377
Contributeur : Christian Marinoni <>
Soumis le : lundi 22 février 2016 - 14:11:07
Dernière modification le : mercredi 25 janvier 2017 - 09:10:07

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Davide Bianchi, Will Percival, Julien Bel. Improving the modelling of redshift-space distortions - II. A pairwise velocity model covering large and small scales. Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P - Oxford Open Option A, 2016, 463 (4), pp.3783-3798. <10.1093/mnras/stw2243>. <hal-01277377>

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