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Using multiple x-ray emission images of inertially confined implosions to identify spatial variations and estimate confinement volumes (invited).

Laura Robin BenedettiD K BradleyS F KhanN IzumiT MaS R NagelA Pak
Published in: The Review of scientific instruments (2018)
We describe two methods to analyze multiple x-ray images of a small, self-emitting object, and we apply these methods to the stagnating hotspots in inertial confinement fusion experiments. The first method, the common integrated profile, can be used to assess and quantify spatial variations in opacity. It is both a simple assessment of consistency and a sophisticated measurement of variations in a region that is otherwise difficult to observe. Second, we present a method to estimate volumes of highly asymmetric objects using multiple images of x-ray emission. The method is based on image intensities and does not require any explicit assumption of symmetry.
Keyphrases
  • deep learning
  • convolutional neural network
  • high resolution
  • dual energy
  • optical coherence tomography
  • magnetic resonance imaging
  • working memory
  • mass spectrometry
  • contrast enhanced