My research primarily focuses on the modelling and interpretation of optical spectral lines from solar flares. I specialise in radiative transfer with time-dependent atomic populations outside of local thermodynamic equilibrium, and also the application of machine learning to invert this problem in observations in a computationally tractable manner.
Osborne, C. M.J. and Milić, I. (2021) The Lightweaver framework for nonlocal thermal equlibrum radiative transfer in Python. Astrophysical Journal, 917(1), 14. (doi: 10.3847/1538-4357/ac02be)
Armstrong, J. A. , Osborne, C. M.J. and Fletcher, L. (2020) Deep learning for the Sun. Astronomy and Geophysics, 61(3), 3.34-3.39. (doi: 10.1093/astrogeo/ataa044)
Osborne, C. M.J. and Simoes, P. J.A. (2019) Thyr: a volumetric ray-marching tool for simulating microwave emission. Monthly Notices of the Royal Astronomical Society, 485(3), pp. 3386-3397. (doi: 10.1093/mnras/stz660)
Osborne, C. M.J., Armstrong, J. A. and Fletcher, L. (2019) RADYNVERSION: Learning to invert a solar flare atmosphere with invertible neural networks. Astrophysical Journal, 873, 128. (doi: 10.3847/1538-4357/ab07b4)
Osborne, C. M.J. and Milić, I. (2021) The Lightweaver framework for nonlocal thermal equlibrum radiative transfer in Python. Astrophysical Journal, 917(1), 14. (doi: 10.3847/1538-4357/ac02be)
Armstrong, J. A. , Osborne, C. M.J. and Fletcher, L. (2020) Deep learning for the Sun. Astronomy and Geophysics, 61(3), 3.34-3.39. (doi: 10.1093/astrogeo/ataa044)
Osborne, C. M.J. and Simoes, P. J.A. (2019) Thyr: a volumetric ray-marching tool for simulating microwave emission. Monthly Notices of the Royal Astronomical Society, 485(3), pp. 3386-3397. (doi: 10.1093/mnras/stz660)
Osborne, C. M.J., Armstrong, J. A. and Fletcher, L. (2019) RADYNVERSION: Learning to invert a solar flare atmosphere with invertible neural networks. Astrophysical Journal, 873, 128. (doi: 10.3847/1538-4357/ab07b4)
The University of Glasgow uses cookies for analytics and advertising. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar helps us to understand and improve our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Marketing cookies are used to ensure our marketing content is relevant, timely and interest based. They allow our approved partner to measure effectiveness and serve appropriate and personalised marketing messages on other websites based on your activity on glasgow.ac.uk
