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Updated: Jun 12, 2025

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Published on: January 28, 2021
A spectroscopic analysis code for spatially resolved x-ray absorption data from the COAX platform
Dž Čamdžić1, H M Johns1, P M Kozlowski1
1Los Alamos National Labratory, Los Alamos, New Mexico 87545, USA.
We developed a new spectroscopic code to automate the analysis of complex high energy density (HED) plasma data. This tool streamlines spectral analysis, providing faster and more accurate results for HED research.
Area of Science:
- Plasma Physics
- Astrophysics
- High Energy Density Physics
Background:
- Automated analysis of spectral data is crucial for managing the complexity and volume of information generated in high energy density (HED) plasma research.
- Existing methods for analyzing HED spectra can be time-consuming and prone to user bias.
Purpose of the Study:
- To present a novel spectroscopic code designed for automated and streamlined analysis of spatially resolved x-ray absorption data.
- To improve the efficiency and accuracy of spectral data analysis in HED physics experiments.
Main Methods:
- Development of a new spectroscopic code incorporating computer vision and 1D lineout analyses.
- Implementation of a testing suite to ensure the accuracy of the code's functions.
- Application of the code to analyze x-ray absorption data from the COAX platform on Omega-60.
Main Results:
- The new code significantly reduces analysis time for spectroscopic images to 1-2 minutes.
- The code provides a spectral-derived spatial profile of supersonic radiation flow into low-density foam.
- The modernized method offers reduced user input, minimizing bias and increasing confidence in results.
Conclusions:
- The developed spectroscopic code offers a faster, more accurate, and streamlined approach to analyzing HED plasma spectral data.
- This automation is vital for handling the large datasets and complex spectra characteristic of HED experiments.
- The tool enhances the ability to extract critical information, such as shock position, density, and radiation flow dynamics.
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