Angular distribution of cosmological parameters as a probe of space-time inhomogeneities
C. Sofia Carvalho, Katrine Marques

TL;DR
This paper introduces a novel method using the angular distribution of cosmological parameters to detect large-scale inhomogeneities and anisotropies, applying it to supernova data to assess their impact on cosmic acceleration.
Contribution
It develops a new approach to map cosmological parameters across the sky and evaluates the backreaction effect, providing insights into the role of inhomogeneities in cosmic acceleration.
Findings
Detected fluctuations in cosmological parameters due to survey coverage.
Measured low-level anisotropy in parameters up to multipole $\, ext{l}=3$.
Found backreaction effects are too small to explain acceleration.
Abstract
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 supernova 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 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…
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