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Bayes versus the virial theorem: inferring the potential of a galaxy from a kinematical snapshot

Abstract:

We present a new framework for estimating a galaxy's gravitational potential, φ, from its stellar kinematics by adopting a fully non-parametric model for the galaxy's unknown actionspace distribution function, f ( J). Having an expression for the joint likelihood of φ and f, the likelihood of φ is calculated by using a Dirichlet process mixture to represent the prior on f and marginalizing. We demonstrate that modelling machinery constructed using this framework is successful at recovering th...

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Publication status:
Published

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Publisher copy:
10.1093/mnras/stt2031

Authors


Journal:
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume:
437
Issue:
3
Pages:
2230-2248
Publication date:
2014-01-05
DOI:
EISSN:
1365-2966
ISSN:
0035-8711
URN:
uuid:962e3102-115a-43ed-9fc7-27afeec4b395
Source identifiers:
395887
Local pid:
pubs:395887

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