Machine Learning Applications to Kronian Magnetospheric Reconnection Classification

no code implementations • 1 Apr 2021 • Tadhg M. Garton, Caitriona M. Jackman, Andy W. Smith, Kiley L. Yeakel, Shane A. Maloney, Jon Vandegriff

The products of magnetic reconnection in Saturn's magnetotail are identified in magnetometer observations primarily through characteristic deviations in the north-south component of the magnetic field.

BIG-bench Machine Learning Classification +1

Quasi-Periodic Particle Acceleration in a Solar Flare

no code implementations • 8 Feb 2021 • Brendan P. Clarke, Laura A. Hayes, Peter T. Gallagher, Shane A. Maloney, Eoin P. Carley

We identify QPPs in the timeseries of X-ray, low frequency radio and EUV wavelengths using wavelet analysis, and localise the region of the flare site from which the QPPs originate via X-ray and EUV imaging.

Time Series Analysis Solar and Stellar Astrophysics

Probabilistic Super-Resolution of Solar Magnetograms: Generating Many Explanations and Measuring Uncertainties

no code implementations • 4 Nov 2019 • Xavier Gitiaux, Shane A. Maloney, Anna Jungbluth, Carl Shneider, Paul J. Wright, Atılım Güneş Baydin, Michel Deudon, Yarin Gal, Alfredo Kalaitzis, Andrés Muñoz-Jaramillo

Machine learning techniques have been successfully applied to super-resolution tasks on natural images where visually pleasing results are sufficient.

BIG-bench Machine Learning Super-Resolution

Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics \& Losses

no code implementations • 4 Nov 2019 • Anna Jungbluth, Xavier Gitiaux, Shane A. Maloney, Carl Shneider, Paul J. Wright, Alfredo Kalaitzis, Michel Deudon, Atılım Güneş Baydin, Yarin Gal, Andrés Muñoz-Jaramillo

Breakthroughs in our understanding of physical phenomena have traditionally followed improvements in instrumentation.

Super-Resolution