Issue |
A&A
Volume 592, August 2016
|
|
---|---|---|
Article Number | A102 | |
Number of page(s) | 13 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/201628177 | |
Published online | 08 August 2016 |
Angular distribution of cosmological parameters as a probe of space-time inhomogeneities
1 Institute of Astrophysics and Space Sciences, University of Lisbon, Tapada da Ajuda, 1349–018 Lisbon, Portugal
e-mail: cscarvalho@oal.ul.pt
2 Research Center for Astronomy and Applied Mathematics, Academy of Athens, Soranou Efessiou 4, 11–527 Athens, Greece
Received: 23 January 2016
Accepted: 10 May 2016
We develop a method based on the angular distribution on the sky of cosmological parameters to probe the inhomogeneity of large-scale structure and cosmic acceleration. We demonstrate this method on the largest type Ia supernova (SN) data set available to date, as compiled by the Joint Light-curve Analysis (JLA) collaboration and, hence, consider the cosmological parameters that affect the luminosity distance. We divide the SN sample into equal surface area pixels and estimate the cosmological parameters that minimize the chi-square of the fit to the distance modulus in each pixel, hence producing maps of the cosmological parameters {ΩM,ΩΛ,H0} . In poorly sampled pixels, the measured fluctuations are mostly due to an inhomogeneous coverage of the sky by the SN surveys; in contrast, in well-sampled pixels, the measurements are robust enough to suggest a real fluctuation. We also measure the anisotropy of the parameters by computing the power spectrum of the corresponding maps of the parameters up to ℓ = 3. For an analytical toy model of an inhomogeneous ensemble of homogeneous pixels, we derive the backreaction term in the deceleration parameter due to the fluctuations of H0 across the sky and measure it to be of order 10-3 times the corresponding average over the pixels in the absence of backreaction. We conclude that, for the toy model considered, backreaction is not a viable dynamical mechanism to emulate cosmic acceleration.
Key words: methods: statistical / cosmological parameters
© ESO, 2016
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