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Maximum-likelihood fitting of the 6dFGS peculiar velocities

Published online by Cambridge University Press:  26 February 2013

Christina Magoulas ,
Christopher Springob ,
Matthew Colless ,
D. Heath Jones ,
Lachlan Campbell ,
John Lucey  and
Jeremy Mould
Christina Magoulas
Affiliation:
University of Melbourne, Australia email: c.magoulas@pgrad.unimelb.edu.au Australian Astronomical Observatory, Australia
Christopher Springob
Affiliation:
Australian Astronomical Observatory, Australia
Matthew Colless
Affiliation:
Australian Astronomical Observatory, Australia
D. Heath Jones
Affiliation:
Monash University, Australia
Lachlan Campbell
Affiliation:
University of Western Kentucky, USA
John Lucey
Affiliation:
University of Durham, UK
Jeremy Mould
Affiliation:
Swinburne University, Australia
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Abstract

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We develop a robust Bayesian model to derive peculiar velocities and Fundamental Plane (FP) distances for a subsample of 9000 galaxies from the 6dF Galaxy Survey (6dFGS). These galaxies form the basis of 6dFGSv, the largest and most uniform galaxy peculiar-velocity sample to date. We perform a Bayesian analysis of the data set as a whole, determining cosmological parameters from the peculiar-velocity field (e.g., fitting β and the bulk flow), by comparing to the field predicted from the redshift survey and assuming that the galaxy distribution traces the matter distribution.

Keywords

surveysgalaxies: distances and redshiftscosmological parameterslarge-scale structure of universe

References

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