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A spectroscopic analysis code for spatially resolved x-ray absorption data from the COAX platform.

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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.

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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.