Nikolaou, Nikolaos, Waldmann, Ingo P., Tsiaras, Angelos, Morvan, Mario, Edwards, Billy, Yip, Kai Hou, Thompson, Alexandra, Tinetti, Giovanna, Sarkar, Subhajit, Dawson, James M., Borisov, Vadim, Kasneci, Gjergji, Petkovic, Matej, Stepisnik, Tomaz, Al-Ubaidi, Tarek, Bailey, Rachel Louise, Granitzer, Michael, Julka, Sahib, Kern, Roman, Ofner, Patrick, Wagner, Stefan, Heppe, Lukas, Bunse, Mirko, Morik, Katharina and Simões, Luís F. 2023. Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots. RAS Techniques and Instruments 2 (1) , pp. 695-709. 10.1093/rasti/rzad050 |
Dawson, James
2021.
Exploring the use of Machine Learning with extragalactic emission-line surveys, in preparation for the Square Kilometre Array.
PhD Thesis,
Cardiff University.
Item availability restricted. |
Dawson, James M., Davis, Timothy A. ORCID: https://orcid.org/0000-0003-4932-9379, Gomez, Edward L. ORCID: https://orcid.org/0000-0001-5749-1507 and Schock, Justus 2021. A self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics. Monthly Notices of the Royal Astronomical Society 503 (1) , pp. 574-584. 10.1093/mnras/stab427 |
Dawson, James M., Davis, Timothy A. ORCID: https://orcid.org/0000-0003-4932-9379, Gomez, Edward L. ORCID: https://orcid.org/0000-0001-5749-1507, Schock, Justus, Zabel, Nikki and Williams, Thomas G. ORCID: https://orcid.org/0000-0003-1710-3914 2020. Using machine learning to study the kinematics of cold gas in galaxies. Monthly Notices of the Royal Astronomical Society 491 (2) , pp. 2506-2519. 10.1093/mnras/stz3097 |
Aparicio Sanchez, Pablo ORCID: https://orcid.org/0000-0003-3719-7241, Dawson, James A., Islam, M. Saiful and de Leeuw, Nora H. ORCID: https://orcid.org/0000-0002-8271-0545 2018. A Computational study of NaVOPO4 polymorphs as cathode materials for Na-Ion batteries: Diffusion, electronic properties and cation doping behavior. Journal of Physical Chemistry C 122 (45) , pp. 25829-25836. 10.1021/acs.jpcc.8b07797 |