Published September 12, 1994
| Version v1
Journal article
Analysis of spectra from laser produced plasmas using a neural network
Creators
- 1. Cascade Applied Sciences, Inc., P.O. Box 4477, Boulder, Colorado 80306 (United States)
- 2. Kinema Research, P.O. Box 1147, Monument, Colorado 80132 (United States)
- 3. Lawrence Livermore National Laboratory, University of California, P.O. Box 808, Livermore, California 94550 (United States)
Description
A backpropagation artificial neural network algorithm is applied to the analysis of K-shell x-ray line spectra from a well characterized laser produced plasma. After training on synthetic spectra produced by appropriate collisional radiative plasma emission models, the network correctly determines the electron temperature as a function of distance into the plasma. The results demonstrate the potential utility of neural networks for interpreting spectral data from plasma devices and sources
Additional details
Publishing Information
- Journal Title
- Physical Review Letters
- Journal Volume
- 73
- Journal Issue
- 11
- Journal Page Range
- p. 1505-1508.
- ISSN
- 0031-9007
- CODEN
- PRLTAO
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 26013573
- Subject category
- S70: PLASMA PHYSICS AND FUSION TECHNOLOGY; S70: PLASMA PHYSICS AND FUSION TECHNOLOGY;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- ALGORITHMS; COLLISIONAL PLASMA; ELECTRON TEMPERATURE; K SHELL; LASER-PRODUCED PLASMA; NEURAL NETWORKS; THEORETICAL DATA; X-RAY SPECTRA
- Descriptors DEC
- DATA; ELECTRONIC STRUCTURE; INFORMATION; NUMERICAL DATA; PLASMA; SPECTRA