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Updated: Feb 3, 2026

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
Published on: October 5, 2018
Tomographic analysis of tangential viewing cameras (invited)
W H Meyer1, S L Allen1, C M Samuell1
1Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
Researchers developed a new method for analyzing plasma velocity in tokamaks using visible light cameras. This technique enables detailed 3D mapping of plasma properties from 2D images, improving fusion energy research.
Area of Science:
- Plasma Physics
- Fusion Energy Research
- Diagnostic Techniques
Background:
- Tokamak devices utilize visible light cameras for observing plasma behavior and emissions.
- Coherence imaging spectroscopy (CIS) on DIII-D captures interferograms encoding line-integrated velocity.
Purpose of the Study:
- To develop tomographic methods for determining local plasma emissivity and parallel velocity from tangential camera views.
- To address the inverse problem of reconstructing 3D plasma properties from 2D diagnostic data.
Main Methods:
- Modeling 2D camera images as line-of-sight integrals through a discrete axisymmetric grid.
- Calculating a sparse response matrix to represent image formation as a matrix-vector multiplication.
- Developing techniques for precise camera geometry determination and handling spatially varying physical quantities.
- Implementing distributed computing across a heterogeneous cluster for large-scale matrix calculations.
- Utilizing iterative techniques to solve the resulting sparse linear system.
Main Results:
- A robust method for tomographic inversion of coherence imaging spectroscopy data was established.
- The developed methods allow for the reconstruction of local plasma emissivity and parallel velocity.
- The computational approach is scalable and can be distributed across high-performance computing resources.
Conclusions:
- The presented tomographic analysis provides a powerful tool for understanding plasma dynamics in tokamaks.
- This technique enhances the diagnostic capabilities for fusion energy research by enabling detailed 3D plasma reconstruction.
- The computational framework is adaptable for various diagnostic setups and plasma conditions.
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