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Baryon acoustic oscillation methods for generic curvature: Application to the SDSS-III Baryon Oscillation Spectroscopic Survey

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arxiv 1811.11963 v2 pith:EBE4YEAL submitted 2018-11-29 astro-ph.CO gr-qc

classification astro-ph.COgr-qc
keywords modelsmethodsbaryoncurvatureoscillationspatialcorrelationcosmologies
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abstract

We develop methods for investigating baryon acoustic oscillation (BAO) features in cosmological models with non-trivial (but slowly varying) averaged spatial curvature: models that are not necessarily flat, close to flat, nor with constant spatial curvature. The class of models to which our methods apply include Lemaitre-Tolman-Bondi models, modified gravity cosmologies, and inhomogeneous cosmologies with backreaction - in which we do not have a prediction of the shape of the spatial 2-point correlation function, but where we nevertheless expect to see a BAO feature in the present-day galaxy distribution, in form of an excess in the galaxy 2-point correlation function. We apply our methods to the Baryon Oscillation Spectroscopic Survey (BOSS) dataset, investigating both the Lambda Cold Dark Matter ($\Lambda$CDM) and timescape cosmological models as case studies. The correlation functions measured in the two fiducial models contain a similarly-pronounced BAO feature. We use the relative tangential and radial BAO scales to measure the anisotropic Alcock-Paczy\'nski distortion parameter, $\epsilon$, which is independent of the underlying BAO preferred scale. We find that $\epsilon$ is consistent with zero in both fiducial cosmologies, indicating that models with a different spatial curvature behaviour can account for the relative positions of the tangential and radial BAO scale. We validate our methods using $\Lambda$CDM mocks.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quantifying the accuracy of the Alcock-Paczynski scaling of baryon acoustic oscillation measurements

    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.

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