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Cosmic structure, averaging and dark energy

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arxiv 1311.3787 v2 pith:5J7ZTZ5U submitted 2013-11-15 astro-ph.CO gr-qchep-th

classification astro-ph.COgr-qchep-th
keywords cosmicenergyframegradientsrestscenariostructuretimescape
verification ladder T0 review T1 audit T2 compute T3 formal
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These lecture notes review the theoretical problems associated with coarse-graining the observed inhomogeneous structure of the universe at late epochs, of describing average cosmic evolution in the presence of growing inhomogeneity, and of relating average quantities to physical observables. In particular, a detailed discussion of the timescape scenario is presented. In this scenario, dark energy is realized as a misidentification of gravitational energy gradients which result from gradients in the kinetic energy of expansion of space, in the presence of density and spatial curvature gradients that grow large with the growth of structure. The phenomenology and observational tests of the timescape model are discussed in detail, with updated constraints from Planck satellite data. In addition, recent results on the variation of the Hubble expansion on < 100/h Mpc scales are discussed. The spherically averaged Hubble law is significantly more uniform in the rest frame of the Local Group of galaxies than in the conventional rest frame assumed for the Cosmic Microwave Background. This unexpected result supports a fundamental revision of the notion of the cosmic rest frame, consistent with the expectations of the timescape scenario.

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Cited by 3 Pith papers

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    astro-ph.CO 2019-08 conditional novelty 6.0 of 10

    Survey-averaged Alcock-Paczynski parameters recover the BAO scale more accurately than single-redshift parameters in models with strong metric gradients, and a ~1% systematic remains that no constant AP scaling can remove.

  2. Mapping the Universe as a Bianchi I cosmology with Gaia data

    astro-ph.CO 2026-05 unverdicted novelty 5.0 of 10

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  3. Supernovae evidence for foundational change to cosmological models

    astro-ph.CO 2024-12 conditional novelty 5.0 of 10

    A new Bayesian analysis of Pantheon+ supernovae reports strong statistical preference for the timescape cosmology over LambdaCDM.

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