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Luminosity distance in "Swiss cheese" cosmology with randomized voids: I. Single void size

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arxiv 0808.1080 v2 pith:DMXACZEI submitted 2008-08-07 astro-ph gr-qc

classification astro-phgr-qc
keywords darkdatalargerandomizationsupernovavoidsaccelerationbeen
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Recently there have been suggestions that the Type Ia supernova data can be explained using only general relativity and cold dark matter with no dark energy. In "Swiss cheese" models of the Universe, the standard Friedmann-Robertson-Walker picture is modified by the introduction of mass compensating spherical inhomogeneities, typically described by the Lemaitre-Tolman-Bondi metric. If these inhomogeneities correspond to underdense cores surrounded by mass-compensating overdense shells, then they can modify the luminosity distance-redshift relation in a way that can mimic accelerated expansion. It has been argued that this effect could be large enough to explain the supernova data without introducing dark energy or modified gravity. We show that the large apparent acceleration seen in some models can be explained in terms of standard weak field gravitational lensing together with insufficient randomization of void locations. The underdense regions focus the light less than the homogeneous background, thus dimming supernovae in a way that can mimic the effects of acceleration. With insufficient randomization of the spatial location of the voids and of the lines of sight, coherent defocusing can lead to anomalously large demagnification effects. We show that a proper randomization of the voids and lines of sight reduces the effect to the point that it can no longer explain the supernova data.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 72 citations worldwide. Full citation record

  1. Light path averages in spacetimes with non-vanishing average spatial curvature

    astro-ph.CO 2019-09 conditional novelty 6.0 of 10

    Light-path averaged observables in Swiss cheese cosmologies show nearly the same mean and scatter in curved and flat FLRW backgrounds, indicating curvature does not significantly alter the relationship between line-of...

  2. Impact of inhomogeneous curvature on growth rate measurements from magnitude fluctuations

    astro-ph.CO 2026-06 unverdicted novelty 5.0 of 10

    Full-GR simulations find that inhomogeneous curvature produces only sub-dominant systematic offsets in growth-rate measurements from magnitude fluctuations at z ≲ 0.2 relative to current statistical errors.

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