A Bayesian approach to the study of dark matter in disk galaxies
Studies of the rotation of disk galaxies have long been used to infer the presence and distribution of dark matter within them. Here I present a new Markov Chain Monte Carlo (MCMC) method to explore the extensive and complex parameter space created by the possible combinations of dark and luminous m...
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
University of Leicester
2015
|
| Subjects: | |
| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666675 |