Automated Searches for Ultra-Diffuse Emission from Stars

As part of our astronomical research we are developing computer methods to make automated searches for very low signal to noise sources, including ultra-diffuse galaxies, extended stellar haloes, features resulting from galaxy tidal interactions and inter-galactic light.

We are using pixel clustering algorithms, distributed computing and machine learning to identify objects of interest. These are computer intensive methods particularly as our intention is to apply them to new state-of-the-art large area sky surveys such as LSST, EUCLID, KIDS and VIKING.

We are particularly interested in the fraction of stars that lie outside of easily recognised galactic structures as a means of tracing the assembly history of dark matter haloes of various masses.

To this end we are collaborating with Dr. Claudia Lagos (ICRAR, University of Western Australia), who caries out the detailed numerical cosmological simulations that we will use for comparison. We are offering a PhD place to develop the automated routines, maximise their run efficiency and then apply them to astronomical data sets for comparison with the numerical simulations.

Please contact the supervisor if you want to pursue this project, or find out more about our PhD programme in Physics and Astronomy.

Supervisors

Professor Jonathan Davies

Academic contact

Programme information

For programme structure, entry requirements and how to apply, visit the Physics and Astronomy programme.

View programme
Meet us at our Information Fair on 22 February 2018.

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