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Picture for Mark C. M. Cheung

SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory


Aug 27, 2021
Richard E. L. Higgins, David F. Fouhey, Spiro K. Antiochos, Graham Barnes, Mark C. M. Cheung, J. Todd Hoeksema, KD Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi


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Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition


Feb 02, 2021
Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt

* Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada 

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Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning


Feb 01, 2021
Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atılım Güneş Baydin

* 12 pages, 7 figures, 8 tables. This is a pre-print of an article submitted and accepted by A&A Journal 

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A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission


Mar 11, 2019
Richard Galvez, David F. Fouhey, Meng Jin, Alexandre Szenicer, Andrés Muñoz-Jaramillo, Mark C. M. Cheung, Paul J. Wright, Monica G. Bobra, Yang Liu, James Mason, Rajat Thomas

* Accepted to The Astrophysical Journal Supplement Series; 11 pages, 8 figures 

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