Galaxy Modelling using Bayesian Statistics: A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503 - Brossura
Sinossi
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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Galaxy Modelling using Bayesian Statistics
Editore:
LAP LAMBERT Academic Publishing Feb 2010, 2010
ISBN 10: 3838318331
ISBN 13: 9783838318332
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783838318332
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Galaxy Modelling using Bayesian Statistics
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838318331
ISBN 13: 9783838318332
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Kartoniert / Broschiert. Condizione: 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. Codice articolo 5412508
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Galaxy Modelling using Bayesian Statistics
Editore:
LAP LAMBERT Academic Publishing Feb 2010, 2010
ISBN 10: 3838318331
ISBN 13: 9783838318332
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Codice articolo 9783838318332
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Galaxy Modelling using Bayesian Statistics : A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503
Editore:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838318331
ISBN 13: 9783838318332
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Taschenbuch. Condizione: 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. Codice articolo 9783838318332
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Galaxy Modelling using Bayesian Statistics | A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838318331
ISBN 13: 9783838318332
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Taschenbuch. Condizione: Neu. Galaxy Modelling using Bayesian Statistics | A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503 | David Puglielli | Taschenbuch | 136 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838318332 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 101289994
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Galaxy Modelling using Bayesian Statistics: A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503
Editore:
LAP Lambert Academic Publishing, 2010
ISBN 10: 3838318331
ISBN 13: 9783838318332
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA75838383183315
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