Maximum-likelihood fitting of the 6dFGS peculiar velocities

Christine Magoulas; C Springob; Matthew Colless; D Heath Jones; Lachlan Campbell; John Lucey; Jeremy Mould

doi:10.1017/S1743921312021813

Maximum-likelihood fitting of the 6dFGS peculiar velocities

Christine Magoulas, C Springob, Matthew Colless, D Heath Jones, Lachlan Campbell, John Lucey, Jeremy Mould

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 Î² 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 language	English
Title of host publication	Advancing the Physics of Cosmic Distances
Editors	Richard de Grijs
Place of Publication	Cambridge
Publisher	Cambridge University Press
Pages	402-405pp
DOIs	https://doi.org/10.1017/S1743921312021813
Publication status	Published - 2013
Event	Advancing the Physics of Cosmic Distances - Beijing, China, China Duration: 1 Jan 2013 → … http://journals.cambridge.org/action/displayIssue?jid=IAU&volumeId=8&seriesId=0&issueId=S289

Conference

Conference	Advancing the Physics of Cosmic Distances
Country/Territory	China
Period	1/01/13 → …
Other	27-31 Aug 2012
Internet address	http://journals.cambridge.org/action/displayIssue?jid=IAU&volumeId=8&seriesId=0&issueId=S289

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10.1017/S1743921312021813

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@inproceedings{0714eddab3a34cc7b2050d5b9495fc42,

title = "Maximum-likelihood fitting of the 6dFGS peculiar velocities",

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 {\^I}² and the bulk flow), by comparing to the field predicted from the redshift survey and assuming that the galaxy distribution traces the matter distribution.",

author = "Christine Magoulas and C Springob and Matthew Colless and Jones, {D Heath} and Lachlan Campbell and John Lucey and Jeremy Mould",

year = "2013",

doi = "10.1017/S1743921312021813",

language = "English",

pages = "402--405pp",

editor = "{Richard de Grijs}",

booktitle = "Advancing the Physics of Cosmic Distances",

publisher = "Cambridge University Press",

address = "United Kingdom",

note = "Advancing the Physics of Cosmic Distances ; Conference date: 01-01-2013",

url = "http://journals.cambridge.org/action/displayIssue?jid=IAU&volumeId=8&seriesId=0&issueId=S289",

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TY - GEN

T1 - Maximum-likelihood fitting of the 6dFGS peculiar velocities

AU - Magoulas, Christine

AU - Springob, C

AU - Colless, Matthew

AU - Jones, D Heath

AU - Campbell, Lachlan

AU - Lucey, John

AU - Mould, Jeremy

PY - 2013

Y1 - 2013

N2 - 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 Î² and the bulk flow), by comparing to the field predicted from the redshift survey and assuming that the galaxy distribution traces the matter distribution.

AB - 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 Î² and the bulk flow), by comparing to the field predicted from the redshift survey and assuming that the galaxy distribution traces the matter distribution.

U2 - 10.1017/S1743921312021813

DO - 10.1017/S1743921312021813

M3 - Conference contribution

SP - 402

EP - 405

BT - Advancing the Physics of Cosmic Distances

A2 - null, Richard de Grijs

PB - Cambridge University Press

CY - Cambridge

T2 - Advancing the Physics of Cosmic Distances

Y2 - 1 January 2013

ER -

Maximum-likelihood fitting of the 6dFGS peculiar velocities

Abstract

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