- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1093/mnras/stt2031
-
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- 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
- Language:
- English
- Keywords:
- Copyright date:
- 2014
Journal article
Bayes versus the virial theorem: inferring the potential of a galaxy from a kinematical snapshot
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