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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 Fletcher, L. (2022) Flare kernels may be smaller than you think: modelling the radiative response of chromospheric plasma adjacent to a solar flare. Monthly Notices of the Royal Astronomical Society, 516(4), pp. 6066-6074. (doi: 10.1093/mnras/stac2570)
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 Fletcher, L. (2022) Flare kernels may be smaller than you think: modelling the radiative response of chromospheric plasma adjacent to a solar flare. Monthly Notices of the Royal Astronomical Society, 516(4), pp. 6066-6074. (doi: 10.1093/mnras/stac2570)
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)
