T. Garton

发表

Classification of Cassini’s Orbit Regions as Magnetosphere, Magnetosheath, and Solar Wind via Machine Learning

C. Jackman, J. Vandegriff, P. Kollmann, 2022, Frontiers in Astronomy and Space Sciences.

The Observational Uncertainty of Coronal Hole Boundaries in Automated Detection Schemes

P. MacNeice, V. Delouille, E. Illarionov, 2021, The Astrophysical Journal.

Expansion of High-speed Solar Wind Streams from Coronal Holes through the Inner Heliosphere

S. Murray, P. Gallagher, T. Garton, 2018, The Astrophysical Journal.

Machine Learning Applications to Kronian Magnetospheric Reconnection Classification

C. Jackman, J. Vandegriff, S. Maloney, 2020, Frontiers in Astronomy and Space Sciences.

Forecasting the Probability of Large Rates of Change of the Geomagnetic Field in the UK: Timescales, Horizons, and Thresholds

I. J. Rae, C. Jackman, T. Bloch, 2021 .

Kronian Magnetospheric Reconnection Statistics Across Cassini’s Lifetime

C. Jackman, A. Smith, T. Garton, 2021, Journal of Geophysical Research: Space Physics.

Automated Coronal Hole Identification via Multi-Thermal Intensity Segmentation

S. Murray, P. Gallagher, T. Garton, 2017, 1711.11476.

Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade

Gary Doran, Hannah R. Kerner, Katherine A. Skinner, 2020, 2007.15129.

Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade

Emily J. Forsberg, H. Kerner, S. Millholland, 2020, Bulletin of the AAS.