2019
DOI: 10.1585/pfr.14.1202117
|View full text |Cite
|
Sign up to set email alerts
|

Tomographic Reconstruction of Imaging Diagnostics with a Generative Adversarial Network

Abstract: We have developed a tomographic reconstruction method using a conditional Generative Adversarial Network to obtain local-intensity profiles from imaging-diagnostic data. To train the network we prepared pairs of local-emissivity and line-integrated images that simulate the experimental system. After validating the accuracy of the trained network, we used it to reconstruct a local image from a measured line-integrated image. We applied this procedure to the He II-emission imaging diagnostic for RT-1 magnetosphe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(6 citation statements)
references
References 8 publications
0
6
0
Order By: Relevance
“…A tomographic reconstruction method using a deep learning technique has been developed to obtain local-intensity profiles from imaging-diagnostic data [10]. The pairs of local emissivity and line-integrated images which simulate an experimental system are prepared to train a network using the model function for plasma profile developed in previous studies of the RT-1 [9,11].…”
Section: Formation Of Self-organized Plasmasmentioning
confidence: 99%
“…A tomographic reconstruction method using a deep learning technique has been developed to obtain local-intensity profiles from imaging-diagnostic data [10]. The pairs of local emissivity and line-integrated images which simulate an experimental system are prepared to train a network using the model function for plasma profile developed in previous studies of the RT-1 [9,11].…”
Section: Formation Of Self-organized Plasmasmentioning
confidence: 99%
“…Particles in the low energy set have been extensively studied with the guiding center approximation 13 . Particles in the high energy sets should also be detectable in physical systems 12,16 .…”
Section: Discussionmentioning
confidence: 99%
“…Motions of a charged particle in a dipole magnetic field were first systematically investigated by Störmer 8 . Due to the axis symmetry of the system, it can be reduced to a 2D Hamiltonian system and is later called the Störmer problem for its broad implications in mathematics, space science, and physics 1,[9][10][11][12] . To better understand the Van Allen radiation belt discovered in the mid-20th century, there have been rea) Also at Phillips Academy Andover, 180 Main Street, Andover, MA, 01810, USA b) Electronic mail: liusm@pmo.ac.cn newed interests in solving the Störmer's problem.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…been demonstrated in solving the coherence imaging spectroscopy (CIS) [14]. The CIS measured the projection quantity onto the line of sight.…”
Section: Jinst 15 C01002mentioning
confidence: 99%