Mark C. M. Cheung

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Top Venues

J. Open Source Softw.

Publications

Monica G. Bobra, Will T. Barnes, Thomas Y. Chen, Mark C. M. Cheung, Laura A. Hayes, Jack Ireland, Miho Janvier, Michael S. F. Kirk, James Mason, Stuart Mumford, Paul J. Wright
Science Platforms for Heliophysics Data Analysis. CoRR (2023)
Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi, Téo Bloch, Mark C. M. Cheung, Siddha Ganju, Asti Bhatt, Ryan M. McGranaghan, Yarin Gal
Global geomagnetic perturbation forecasting using Deep Learning. CoRR (2022)
Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Gunes Baydin
Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation. CoRR (2022)
Richard E. L. Higgins, David F. Fouhey, Spiro K. Antiochos, Graham Barnes, Mark C. M. Cheung, J. Todd Hoeksema, K. D. Leka, Yang Liu, Peter W. Schuck, Tamas I. Gombosi
SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory. CoRR (2021)
Panagiotis Tigas, Téo Bloch, Vishal Upendran, Banafsheh Ferdoushi, Mark C. M. Cheung, Siddha Ganju, Ryan M. McGranaghan, Yarin Gal, Asti Bhatt
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition. CoRR (2021)
Luiz F. G. dos Santos, Souvik Bose, Valentina Salvatelli, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Paul Boerner, Atilim Günes Baydin
Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly using Machine Learning. CoRR (2020)
Will Barnes, Mark C. M. Cheung, Monica G. Bobra, Paul Boerner, Georgios Chintzoglou, Drew Leonard, Stuart Mumford, Nicholas Padmanabhan, Albert J. Shih, Nina Shirman, David Stansby, Paul J. Wright
aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA. J. Open Source Softw. 5 (55) (2020)
Valentina Salvatelli, Souvik Bose, Brad Neuberg, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin
Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona. CoRR (2019)
Brad Neuberg, Souvik Bose, Valentina Salvatelli, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin
Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning. CoRR (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
A Machine Learning Dataset Prepared From the NASA Solar Dynamics Observatory Mission. CoRR (2019)