Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using
a Convolutional Neural Network

Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network

8 May 2020

Yan Xu

Papers citing "Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network"

5 / 5 papers shown

Title
Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges Bo Shen Marco Marena Chenyang Li Qin Li Haodi Jiang Mengnan Du Jiajun Xu Haimin Wang 33 0 0 07 Sep 2024
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data Haodi Jiang Qin Li Zhihang Hu Nian Liu Yasser Abduallah ... Genwei Zhang Yan Xu Wynne Hsu J. T. Wang Haimin Wang 32 6 0 04 Nov 2022
Inferring Line-of-Sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks Haodi Jiang Qin Li Yan Xu W. Hsu K. Ahn W. Cao J. T. Wang Haimin Wang 13 6 0 08 Oct 2022
SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory Richard E. L. Higgins David Fouhey S. Antiochos G. Barnes Mark C. M. Cheung J. Hoeksema K. Leka Yang Liu P. Schuck T. Gombosi 13 14 0 27 Aug 2021
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction Yasser Abduallah J. T. Wang Yang Nie Chang Liu Haimin Wang 17 20 0 04 Sep 2020