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

Sophisticated tools such as computer vision techniques in combination with 1D lineout type analyses have been used in automating the analysis of spectral data for high energy density (HED) plasmas. Standardized automation can solve the problems posed by the complexity of HED spectra and the quantity of data. We present a spectroscopic code written for automated and streamlined analysis of spatially resolved x-ray absorption data from the COAX platform on Omega-60. COAX uses radiographs and spectroscopic diagnostics to provide shock position and density information. We also obtain the more novel spectral-derived spatial profile of the supersonic radiation flow into a low-density foam. Considerable effort has been spent modernizing our previous spectroscopic analysis method, including the development of new tools characterized by a faster runtime and minimal user input to reduce bias and a testing suite for verifying the accuracy of the various functions within the code. The new code analyzes our spectroscopic images in 1-2 min, with added uncertainty and confidence.

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Publication Details

Journal
Review of Scientific Instruments
Published
2024-09-01
DOI
https://doi.org/10.1063/5.0219172
Primary Topic
Nuclear Physics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Tana Morrow, T. J. Sedillo, Daniel Barnak, Kevin Love et al.
Review of Scientific Instruments
Nuclear Physics and Applications
article

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

Tana Morrow, T. J. Sedillo, Daniel Barnak, Kevin Love, Tom Byvank, H. J. Jorgenson, Chris L. Fryer, S. M. Finnegan, Manolo Sherrill, Todd J. Urbatsch, J. Cowan, P. Donovan, Lynne Goodwin, Heather Johns, J. Colgan, Stephanie Edwards, T. S. Perry, Christopher J. Fontes, V. García, D. W. Schmidt, Pawel Kozłowski, Ahmed Elshafiey, Alan Marshall, R. B. Randolph, Nikolaus Christiansen, Shane Coffing, C. Wilson, B. Y. Farhi, Dž. Čamdžić, E. Feinberg, F. Fierro
article en

Abstract

Sophisticated tools such as computer vision techniques in combination with 1D lineout type analyses have been used in automating the analysis of spectral data for high energy density (HED) plasmas. Standardized automation can solve the problems posed by the complexity of HED spectra and the quantity of data. We present a spectroscopic code written for automated and streamlined analysis of spatially resolved x-ray absorption data from the COAX platform on Omega-60. COAX uses radiographs and spectroscopic diagnostics to provide shock position and density information. We also obtain the more novel spectral-derived spatial profile of the supersonic radiation flow into a low-density foam. Considerable effort has been spent modernizing our previous spectroscopic analysis method, including the development of new tools characterized by a faster runtime and minimal user input to reduce bias and a testing suite for verifying the accuracy of the various functions within the code. The new code analyzes our spectroscopic images in 1-2 min, with added uncertainty and confidence.

Review of Scientific InstrumentsVol. 95(9)
Los Alamos National Laboratory (US), Applied Energetics (United States) (US)
U.S. Department of Energy, National Nuclear Security Administration, Los Alamos National Laboratory
Affordable and clean energy
Openalex Percentile: Top 80%
Nuclear Physics and Applications
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