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Galaxy Modelling using Bayesian Statistics


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description

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.

Product Specifications
SKU :COC32035
AuthorDavid Puglielli
Number of Pages136
Publishing Year2010-02-02T00:00:00.000
Edition1 st
Book TypePhysics
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-29 00:00:00