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Robust model comparison disfavors power law cosmology

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arxiv 1502.05416 v2 pith:GMZA42YF submitted 2015-02-18 astro-ph.CO

classification astro-ph.CO
keywords dataexpansionpowermodelcosmologymeasurementsclaimcomparison
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abstract

Late-time power law expansion has been proposed as an alternative to the standard cosmological model and shown to be consistent with some low-redshift data. We test power law expansion against the standard flat $\Lambda$CDM cosmology using goodness-of-fit and model comparison criteria. We consider Type Ia supernova (SN Ia) data from two current compilations (JLA and Union2.1) along with a current set of baryon acoustic oscillation (BAO) measurements that includes the high-redshift Lyman-$\alpha$ forest measurements from BOSS quasars. We find that neither power law expansion nor $\Lambda$CDM is strongly preferred over the other when the SN Ia and BAO data are analyzed separately but that power law expansion is strongly disfavored by the combination. We treat the $R_\text{h} = ct$ cosmology (a constant rate of expansion) separately and find that it is conclusively disfavored by all combinations of data that include SN Ia observations and a poor overall fit when systematic errors in the SN Ia measurements are ignored, despite a recent claim to the contrary. We discuss this claim and some concerns regarding hidden model dependence in the SN Ia data.

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Cited by 2 Pith papers

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  1. Growth, geometry, and early-universe split of the matter density parameter $\Omega_{\rm m}$

    astro-ph.CO 2026-07 conditional novelty 5.5 of 10

    Splitting Ω_m into geometry, growth, and early-universe regimes yields mutually compatible values, yet ΔΩ_m^{geo,early} is 2σ from zero under combined DES, Planck (scale-cut), DESI, Pantheon+, and RSD data.

  2. Comparison of $R_h=ct$ and $\Lambda$CDM using DESI DR1 measurements

    astro-ph.CO 2025-06 conditional novelty 5.0 of 10

    Using DESI DR1 distance measurements, flat LambdaCDM is decisively preferred over R_h=ct, driven almost entirely by the Lyman-alpha data point at redshift 2.33.

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