A Deep Learning Approach to Generating Photospheric Vector Magnetograms
of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data

A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data

4 November 2022

Haodi Jiang

Yasser Abduallah

Yan Xu

Papers citing "A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data"

5 / 5 papers shown

Title
Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model Jialiang Li Vasyl Yurchyshyn Jason T. L. Wang Haimin Wang Yasser Abduallah Khalid A. Alobaid Chunhui Xu Ruizhu Chen Yan Xu MedIm AI4CE DiffM 49 0 0 05 Mar 2025
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network Chunhui Xu J. T. Wang Haimin Wang Haodi Jiang Qin Li Yasser Abduallah Yan Xu 16 4 0 27 Mar 2024
Machine learning in solar physics A. Asensio Ramos Mark C. M. Cheung I. Chifu Ricardo Gafeira AI4CE PINN 17 30 0 27 Jun 2023
On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee Chenyang Li Jihoon Chung Mengnan Du Haimin Wang Xianlian Zhou Bohao Shen 17 1 0 13 Mar 2023
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 189 539 0 08 Mar 2020