Maximum-likelihood fitting of the 6dFGS peculiar velocities

Christina Magoulas, Christopher Springob, Matthew Colless, D. Heath Jones, Lachlan Campbell, John Lucey, Jeremy Mould

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

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.
Original languageEnglish
Title of host publicationAdvancing the physics of cosmic distances
Subtitle of host publicationproceedings of the 289th symposium of the International Astronomical Union held in Beijing, China, August 27 - 31, 2012
EditorsRichard de Grijs
Place of PublicationCambridge, United Kingdom
PublisherCambridge University Press
Pages402-405
Number of pages4
ISBN (Print)9781107033788
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventInternational Astronomical Union Symposium (289th : 2012) - Beijing, China
Duration: 27 Aug 201231 Aug 2012

Publication series

NameProceedings of the International Astronomincal Union
PublisherCambridge University Press
ISSN (Print)1743-9213

Conference

ConferenceInternational Astronomical Union Symposium (289th : 2012)
CityBeijing, China
Period27/08/1231/08/12

Keywords

  • surveys
  • galaxies: distances and redshifts
  • cosmological parameters
  • large-scale structure of universe

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