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Mass models of the Milky Way

Abstract:

We present a simple method for fitting parametrized mass models of the Milky Way to observational constraints. We take a Bayesian approach which allows us to take into account input from photometric and kinematic data, and expectations from theoretical modelling. This provides us with a best-fitting model, which is a suitable starting point for dynamical modelling. We also determine a probability density function on the properties of the model, which demonstrates that the mass distribution of...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
Journal:
Monthly Notices of the Royal Astronomical Society
Volume:
414
Issue:
3
Pages:
2446-2457
Publication date:
2011-07-01
DOI:
EISSN:
1365-2966
ISSN:
0035-8711
Language:
English
Keywords:
Pubs id:
pubs:162029
UUID:
uuid:88f2a287-ca00-4249-93fc-2582c99cab6b
Local pid:
pubs:162029
Source identifiers:
162029
Deposit date:
2012-12-19

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