The 6dF Galaxy Survey: Bulk Flows on $50-70 h^{-1}$ Mpc scales

Monthly Notices of the Royal Astronomical Society 2015 455 (1): 386-401 We measure the bulk flow of the local Universe using the 6dF Galaxy Survey peculiar velocity sample (6dFGSv), the largest and most homogeneous peculiar velocity sample to date. 6dFGSv is a Fundamental Plane sample of $\sim10^4$...

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Main Authors Scrimgeour, Morag I, Davis, Tamara M, Blake, Chris, Staveley-Smith, Lister, Magoulas, Christina, Springob, Christopher M, Beutler, Florian, Colless, Matthew, Johnson, Andrew, Jones, D. Heath, Koda, Jun, Lucey, John R, Ma, Yin-Zhe, Mould, Jeremy, Poole, Gregory B
Format Journal Article
LanguageEnglish
Published 21.11.2015
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Summary:Monthly Notices of the Royal Astronomical Society 2015 455 (1): 386-401 We measure the bulk flow of the local Universe using the 6dF Galaxy Survey peculiar velocity sample (6dFGSv), the largest and most homogeneous peculiar velocity sample to date. 6dFGSv is a Fundamental Plane sample of $\sim10^4$ peculiar velocities covering the whole southern hemisphere for galactic latitude $|b| > 10^\circ$, out to redshift ${z=0.0537}$. We apply the `Minimum Variance' bulk flow weighting method, which allows us to make a robust measurement of the bulk flow on scales of $50$ and $70\,h^{-1}{\rm Mpc}$. We investigate and correct for potential bias due to the lognormal velocity uncertainties, and verify our method by constructing $\Lambda{\rm CDM}$ 6dFGSv mock catalogues incorporating the survey selection function. For a hemisphere of radius $50\,h^{-1}{\rm Mpc}$ we find a bulk flow amplitude of $U=248\pm58\,{\rm km}\,{\rm s}^{-1}$ in the direction $(l,b) = (318^\circ\pm20^\circ,40^\circ\pm13^\circ)$, and for $70\,h^{-1}{\rm Mpc}$ we find $U=243\pm58\,{\rm km}\,{\rm s}^{-1}$, in the same direction. Our measurement gives us a constraint on $\sigma_8$ of $1.01^{+1.07}_{-0.58}$. Our results are in agreement with other recent measurements of the direction of the bulk flow, and our measured amplitude is consistent with a $\Lambda{\rm CDM}$ prediction.
DOI:10.48550/arxiv.1511.06930