Reconstructing the Assembly history of our Galaxy using neural networks
Lead Research Organisation:
Liverpool John Moores University
Department Name: Astrophysics Research Institute
Abstract
Apply deep learning methods to identify and characterise tidal streams in our Galaxy. Interpret and compare the results with what expected from the standard cosmological model and some of its extensions.
People |
ORCID iD |
| Andreea Font (Primary Supervisor) | |
| Andrea Sante (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| ST/W006766/1 | 01/10/2022 | 30/09/2028 | |||
| 2903758 | Studentship | ST/W006766/1 | 25/10/2022 | 25/10/2026 | Andrea Sante |