Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject dark matter in galaxies
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 1-Feb-2014 | Inverse Bayesian Estimation of Gravitational Mass Density in Galaxies from Missing Kinematic Data | Chakrabarty, D; Saha, P |
| 2019 | Learning in the absence of training data—A galactic application | Spire, C; Chakrabarty, D |