Galaxy Modelling using Bayesian Statistics

Language: English

Published by LAP LAMBERT Academic Publishing Feb 2010, 2010

3838318331 / 9783838318332

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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.

Seller Inventory # 9783838318332

Title
Galaxy Modelling using Bayesian Statistics
Author
David Puglielli
Publisher
LAP LAMBERT Academic Publishing Feb 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838318331
ISBN 13
9783838318332
Item weight
221 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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