English

Apparent cosmic acceleration from type Ia supernovae

Cosmology and Nongalactic Astrophysics 2017-09-15 v2 General Relativity and Quantum Cosmology

Abstract

Parameters that quantify the acceleration of cosmic expansion are conventionally determined within the standard Friedmann-Lemaitre-Robertson-Walker (FLRW) model, which fixes spatial curvature to be homogeneous. Generic averages of Einstein's equations in inhomogeneous cosmology lead to models with non-rigidly evolving average spatial curvature, and different parametrizations of apparent cosmic acceleration. The timescape cosmology is a viable example of such a model without dark energy. Using the largest available supernova data set, the JLA catalogue, we find that the timescape model fits the luminosity distance-redshift data with a likelihood that is statistically indistinguishable from the standard spatially flat Λ\Lambda cold dark matter cosmology by Bayesian comparison. In the timescape case cosmic acceleration is non-zero but has a marginal amplitude, with best-fitting apparent deceleration parameter, q0=0.0430.000+0.004q_0=-0.043^{+0.004}_{-0.000}. Systematic issues regarding standardization of supernova light curves are analysed. Cuts of data at the statistical homogeneity scale affect light curve parameter fits independent of cosmology. A cosmological model dependence of empirical changes to the mean colour parameter is also found. Irrespective of which model ultimately fits better, we argue that as a competitive model with a non-FLRW expansion history, the timescape model may prove a useful diagnostic tool for disentangling selection effects and astrophysical systematics from the underlying expansion history.

Keywords

Cite

@article{arxiv.1706.07236,
  title  = {Apparent cosmic acceleration from type Ia supernovae},
  author = {Lawrence H. Dam and Asta Heinesen and David L. Wiltshire},
  journal= {arXiv preprint arXiv:1706.07236},
  year   = {2017}
}

Comments

17 pages, 6 figures; v2: Small additions, typos corrected, matches published version

R2 v1 2026-06-22T20:26:24.978Z