Josh Wilde

Josh Wilde

Final Year PHD Student. Using Machine Learning to Find Gravitational Lenses.

Publications

Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations

Published in MNRAS, 2022

This paper is about using convolutional neural networks (CNNs) to identify strong gravitational lenses in simulated data. The CNN is applied to simulated compound gravitational lenses, and applied to HST imaging of four known compound gravitational lenses. The trained CNN is investigated to attempt to gain an understanding of what features the CNN has learnt. The GitHub for this paper can be found here LensFindery-McLensFinderFace

Recommended citation: Joshua Wilde, Stephen Serjeant, Jane M Bromley, Hugh Dickinson, Léon V E Koopmans, R Benton Metcalf, "Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations ", Monthly Notices of the Royal Astronomical Society, 2022;, stac562, https://doi.org/10.1093/mnras/stac562 http://academicpages.github.io/files/paper1.pdf

Lunar Outpost Sustaining Human Space Exploration by Utilizing In-Situ Resources with a Focus on Propellant Production

Published in 69th International Astronautical Congress (IAC)At: Bremen, Germany, 2018

This paper is about the number 1. The number 2 is left for future work. Hello.

Recommended citation: Guardabasso, P.; Artuso, G.; Bigi, G.; Carré, A.; Walewski, A.; Crema, M.; Dragoni, M.; Gaudin, D.; Gollins, N.;Governale, G.; et al. "Lunar Outpost Sustaining Human Space Exploration by Utilizing In-Situ Resourceswith a Focus on Propellant Production." In Proceedings of the 69th International Astronautical Congress(IAC), Bremen, Germany, 1–5 October 2018; pp. 1–3. http://academicpages.github.io/files/paper1.pdf