Maximum-likelihood fitting of the 6dFGS peculiar velocities
2012 ◽
Vol 8
(S289)
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pp. 402-405
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Keyword(s):
Data Set
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AbstractWe 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.
2019 ◽
Vol 487
(4)
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pp. 5209-5234
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2014 ◽
Vol 11
(S308)
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pp. 336-339
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2014 ◽
Vol 11
(S308)
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pp. 187-192
Keyword(s):
2014 ◽
Vol 11
(S308)
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pp. 332-335
2019 ◽
Vol 488
(4)
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pp. 5438-5451
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Keyword(s):
Keyword(s):