Cosmic bulk flows on 50 {h}^{-1}Mpc scales: A Bayesian hyper-parameter method and multishells likelihood analysis
Yin-Zhe Ma, Douglas Scott

TL;DR
This study uses a Bayesian hyper-parameter approach and multishell likelihood analysis to assess galaxy bulk flows, finding results consistent with the standard DM model and WMAP data, challenging claims of excessive power on 50 Mpc scales.
Contribution
It introduces a Bayesian hyper-parameter method combined with multishell likelihood analysis to robustly estimate bulk flows from multiple galaxy catalogues, reconciling previous conflicting claims.
Findings
Bulk flow amplitude 310 km/s consistent across catalogues.
Estimated _8 parameter aligns with DM predictions.
Results agree with WMAP 7-year data.
Abstract
It has been argued recently that the galaxy peculiar velocity field provides evidence of excessive power on scales of , which seems to be inconsistent with the standard CDM cosmological model. We discuss several assumptions and conventions used in studies of the large-scale bulk flow to check whether this claim is robust under a variety of conditions. Rather than using a composite catalogue we select samples from the SN, ENEAR, SFI++ and A1SN catalogues, and correct for Malmquist bias in each according to the IRAS PSCz density field. We also use slightly different assumptions about the small-scale velocity dispersion and the parameterisation of the matter power spectrum when calculating the variance of the bulk flow. By combining the likelihood of individual catalogues using a Bayesian hyper-parameter method, we find that the joint likelihood of the amplitude parameter…
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