arXiv · 1604.04631
Statistical Test of Distance--Duality Relation with Type Ia Supernovae and Baryon Acoustic Oscillations
Abstract
We test the distance--duality relation $η\equiv d_L / [ (1 + z)^2 d_A ] = 1$ between cosmological luminosity distance ($d_L$) from the JLA SNe Ia compilation (arXiv:1401.4064) and angular-diameter distance ($d_A$) based on Baryon Oscillation Spectroscopic Survey (BOSS; arXiv:1607.03155) and WiggleZ baryon acoustic oscillation measurements (arXiv:1105.2862, arXiv:1204.3674). The $d_L$ measurements are matched to $d_A$ redshift by a statistically consistent compression procedure. With Monte Carlo methods, nontrivial and correlated distributions of $η$ can be explored in a straightforward manner without resorting to a particular evolution template $η(z)$. Assuming independent constraints on cosmological parameters that are necessary to obtain $d_L$ and $d_A$ values, we find 9% constraints consistent with $η= 1$ from the analysis of SNIa + BOSS and an 18% bound results from SNIa + WiggleZ. These results are contrary to previous claims that $η< 1$ has been found close to or above the $1 σ$ level. We discuss the effect of different cosmological parameter inputs and the use of the apparent deviation from distance--duality as a proxy of systematic effects on cosmic distance measurements. The results suggest possible systematic overestimation of SNIa luminosity distances compared with $d_A$ data when a Planck ΛCDM cosmological parameter inference (arXiv:1502.01589) is used to enhance the precision. If interpreted as an extinction correction due to a gray dust component, the effect is broadly consistent with independent observational constraints.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Cong Ma, Pier-Stefano Corasaniti. 2018-07-13. Statistical Test of Distance--Duality Relation with Type Ia Supernovae and Baryon Acoustic Oscillations. https://doi.org/10.3847/1538-4357%2Faac88f
Cite the original work for its findings. Save a collection to share your selection of sources.