Mark C. M. Cheung

According to our database, Mark C. M. Cheung authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Surface Flux Transport Modelling using Physics Informed Neural Networks.

Jithu J. Athalathil, Bhargav Vaidya, Sayan Kundu, Vishal Upendran, Mark C. M. Cheung

CoRR, 2024

2023

Science Platforms for Heliophysics Data Analysis.

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

CoRR, 2023

2022

Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation.

Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Gunes Baydin

CoRR, 2022

Global geomagnetic perturbation forecasting using Deep Learning.

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

CoRR, 2022

2021

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

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

CoRR, 2021

Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition.

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

CoRR, 2021

2020

aiapy: A Python Package for Analyzing Solar EUV Image Data from AIA.

Will T. 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

J. Open Source Softw., 2020

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

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

CoRR, 2020

2019

Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning.

Brad Neuberg, Souvik Bose, Valentina Salvatelli, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

CoRR, 2019

Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona.

Valentina Salvatelli, Souvik Bose, Brad Neuberg, Luiz F. G. dos Santos, Mark C. M. Cheung, Miho Janvier, Atilim Gunes Baydin, Yarin Gal, Meng Jin

CoRR, 2019

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

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

CoRR, 2019