Research
My principal interest is in the dynamical modelling of the Local Group galaxies, and in particular the dwarf satellites of the Milky Way. I also work on the theory and application of linear prediction, and in particular its use in three-dimensional dust mapping and the emulation of computationally expensive simulations.
Software
PyMimic is a pure-Python implementation of linear prediction intended for use in curve-fitting, kriging, and the metamodelling of expensive computer simulations (including Gaussian-process emulation).
Publications
Gration, A., and J. Magorrian (2024). `Mapping dust in the giant molecular cloud Orion A' in Monthly Notices of the Royal Astronomical Society, 528(4), 5763–5782.
Anscombe, S., and A. Gration [joint first author]. Manuscipt. `Linear prediction and curve-fitting: Gaussian-process emulation in theory and practice'.
Boubert, D., Everall, A., Fraser, J., Gration, A., and B. Holl (2021). `Completeness of the Gaia-verse IV: using hidden states to infer gaps, detection efficiencies and the scanning law from the DR2 light curves' in Monthly Notices of the Royal Astronomical Society, 501(2), 2954–68.
Anscombe, S., and A. Gration [joint first author]. Manuscipt. `The mathematical structure of classical mechanics'.
Gration, A. and M.I. Wilkinson (2019). `The dynamical modelling of dwarf spheroidal galaxies using Gaussian-process emulation' in Monthly Notices of the Royal Astronomical Society, 485(4), 4878–92.
Hands, T. O., Dehnen W., Gration, A., Stadel, J., and B. Moore (2019). `The fate of planetesimal discs in young open clusters: implications for 1I’Oumuamua, the Kuiper belt, the Oort cloud, and more', in Monthly Notices of the Royal Astronomical Society, 490(1), 21–36.
Shelley, M., Becker, P., Gration, A., and A. Pastore (2019). `Advance statistical methods for fitting nuclear models' in Acta Physica Polonica B Proceedings Supplement, 12, 649–56.