Probing bulk flow with nearby SNe Ia data
Stephen Appleby, Arman Shafieloo, Andrew Johnson

TL;DR
This study tests the isotropy of the local universe using low redshift supernova data, finding moderate evidence for anisotropy that aligns with expectations from large-scale bulk flows in the standard cosmological model.
Contribution
It introduces a non-parametric method to analyze supernova data for anisotropy and assesses the impact of data distribution biases and velocity perturbations on the results.
Findings
Rejection of isotropy hypothesis at moderate significance (p ~ 0.07)
Estimated maximum anisotropy direction at (b, l) = (20°, 276°) with uncertainties
Including velocity perturbations reduces the anisotropy significance (p ~ 0.29)
Abstract
We test the isotropy of the local Universe using low redshift supernova data from various catalogs and the non-parametric method of smoothed residuals. Using a recently developed catalog which combines supernova data from various surveys, we show that the isotropic hypothesis of a Universe with zero velocity perturbation can be rejected with moderate significance, with -value out to redshift . We estimate the direction of maximal anisotropy on the sky for various pre-existing catalogs and show that it remains relatively unaffected by the light curve fitting procedure. However the recovered direction is biased by the underlying distribution of data points on the sky. We estimate both the uncertainty and bias in the direction by creating mock data containing a randomly oriented bulk flow and using our method to reconstruct its direction. We conclude that the…
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