2007
DOI: 10.1088/1475-7516/2007/02/013
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The effect of large scale inhomogeneities on the luminosity distance

Abstract: Abstract. We study the form of the luminosity distance as a function of redshift in the presence of large scale inhomogeneities, with sizes of order 10 Mpc or larger. We approximate the Universe through the Swiss-cheese model, with each spherical region described by the Lemaitre-Tolman-Bondi metric. We study the propagation of light beams in this background, assuming that the locations of the source and the observer are random. We derive the optical equations for the evolution of the beam area and shear. Throu… Show more

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Cited by 87 publications
(138 citation statements)
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“…The optical properties of such models have been extensively studied (see Refs. [54][55][56][57][58][59][60][61][62]) to finally conclude that the average luminosityredshift relation remains unchanged with respect to the purely homogeneous case, contrary to the early results of Refs. [52,53].…”
Section: Figcontrasting
confidence: 86%
See 1 more Smart Citation
“…The optical properties of such models have been extensively studied (see Refs. [54][55][56][57][58][59][60][61][62]) to finally conclude that the average luminosityredshift relation remains unchanged with respect to the purely homogeneous case, contrary to the early results of Refs. [52,53].…”
Section: Figcontrasting
confidence: 86%
“…In the latter case, a source can be either demagnified if light mostly propagates through underdense regions [54,55,59] (and if the observer is far away from a void, see Ref. [76]), or magnified otherwise.…”
Section: Summary and Discussionmentioning
confidence: 99%
“…Bothe effects for O(300)Mpc/h sized Voids lead only to a small shift in the CMB monopole, which can safely be neglected. Finally, as stressed in [24][25][26] there are in general (L/rH) 2 corrections to the luminosity distance in the LTB metrics due to Lensing effects, but these effects are actually zero when averaged over the entire sky, or when the observer is at the centre.…”
Section: Jcap09(2009)025mentioning
confidence: 96%
“…It can be rewritten thanks to the Bayes formula as 27) where p(Π) is the unconstrained PDF of Π, i.e. as provided by the assumptions of § 6.3.1.…”
Section: Ricci-lensing Covariancementioning
confidence: 99%