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Galaxy Modelling using Bayesian Statistics: A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503 - Softcover
Modelling disc galaxies is a notoriously difficult problem, partly because of the complexity of astrophysical effects that impact galaxy structure, and partly because the available data are often inadequate to properly constrain the model parameters. This book brings a Bayesian/Markov chain Monte Carlo approach to the problem, using the isolated dwarf spiral galaxy NGC 6503 as a test case. A comprehensive set of observations are available for fitting with sophisticated dynamical models. The joint posterior probability function for the model parameters is obtained, and hence constraints on such important properties as the galaxy mass and mass-to-light ratio, halo density profile, and structural parameters. This work should be useful to anyone interested in the properties of galaxies, as well as anyone with an interest in Bayesian techniques.
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- PublisherLAP Lambert Academic Publishing
- Publication date2010
- ISBN 10 3838318331
- ISBN 13 9783838318332
- BindingPaperback
- Number of pages136
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Galaxy Modelling using Bayesian Statistics: A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503
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ISBN 10: 3838318331
ISBN 13: 9783838318332
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Galaxy Modelling Using Bayesian Statistics
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Galaxy Modelling using Bayesian Statistics
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modelling disc galaxies is a notoriously difficult problem, partly because of the complexity of astrophysical effects that impact galaxy structure, and partly because the available data are often inadequate to properly constrain the model parameters. This book brings a Bayesian/Markov chain Monte Carlo approach to the problem, using the isolated dwarf spiral galaxy NGC 6503 as a test case. A comprehensive set of observations are available for fitting with sophisticated dynamical models. The joint posterior probability function for the model parameters is obtained, and hence constraints on such important properties as the galaxy mass and mass-to-light ratio, halo density profile, and structural parameters. This work should be useful to anyone interested in the properties of galaxies, as well as anyone with an interest in Bayesian techniques. 136 pp. Englisch. Seller Inventory # 9783838318332
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Galaxy Modelling using Bayesian Statistics A BayesianMarkov chain Monte Carlo Approach to Modelling NGC 6503
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Galaxy Modelling using Bayesian Statistics A BayesianMarkov chain Monte Carlo Approach to Modelling NGC 6503
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LAP Lambert Academic Publishing
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ISBN 13: 9783838318332
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Book Description PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783838318332
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Galaxy Modelling using Bayesian Statistics : A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503
Published by
LAP LAMBERT Academic Publishing
(2010)
ISBN 10: 3838318331
ISBN 13: 9783838318332
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modelling disc galaxies is a notoriously difficult problem, partly because of the complexity of astrophysical effects that impact galaxy structure, and partly because the available data are often inadequate to properly constrain the model parameters. This book brings a Bayesian/Markov chain Monte Carlo approach to the problem, using the isolated dwarf spiral galaxy NGC 6503 as a test case. A comprehensive set of observations are available for fitting with sophisticated dynamical models. The joint posterior probability function for the model parameters is obtained, and hence constraints on such important properties as the galaxy mass and mass-to-light ratio, halo density profile, and structural parameters. This work should be useful to anyone interested in the properties of galaxies, as well as anyone with an interest in Bayesian techniques. Seller Inventory # 9783838318332
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Galaxy Modelling using Bayesian Statistics
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Puglielli DavidDavid Puglielli, Ph.D. in theoretical astrophysics, Queen s University (Kingston) 2009, B.S. in Mathematics and Physics from McGill University (Montreal) 2002. Main research interests include galaxy dynamics, evolutio. Seller Inventory # 5412508
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