Galaxy Modelling using Bayesian Statistics: A Bayesian/Markov chain Monte Carlo Approach to Modelling NGC 6503 - Softcover

Puglielli, David

Softcover

ISBN 10: 3838318331 ISBN 13: 9783838318332

Verlag: LAP Lambert Academic Publishing, 2010

Inhaltsangabe

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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Über die Autorin bzw. den Autor

David 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, evolution and formation, numerical simulations, Bayesian techniques and their applications to astrophysical problems.

Details zur Ausgabe

• Verlag: LAP Lambert Academic Publishing
• Erscheinungsdatum: 2010
• Sprache: Englisch
• ISBN 10: 3838318331
• ISBN 13: 9783838318332
• Einband: Taschenbuch
• Anzahl der Seiten: 136
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Deutschland