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Stokes Inversion based on Convolutional Neural Networks

Stokes Inversion based on Convolutional Neural Networks

7 April 2019
A. Ramos
Institute for Solar Physics
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Papers citing "Stokes Inversion based on Convolutional Neural Networks"

4 / 4 papers shown
Title
Deep Computer Vision for Solar Physics Big Data: Opportunities and
  Challenges
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
Inferring Line-of-Sight Velocities and Doppler Widths from Stokes
  Profiles of GST/NIRIS Using Stacked Deep Neural Networks
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
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
11
14
0
27 Aug 2021
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
Hao Liu
Yan Xu
Jiasheng Wang
J. Jing
Chang Liu
J. T. Wang
Haimin Wang
11
22
0
08 May 2020
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