Developing New X-ray Diagnostic Methods for HED Hydrodynamic Experiments

ORAL

Abstract

HED Hydrodynamic and Laboratory Astrophysics experiments are notoriously difficult to diagnose with anything other than x-rays, either by self-emission or backlighting. LANL has been working on several methods to enhance and extend x-ray diagnostics for our laser-driven HED experiments. These include stereoscopic image reconstruction and multi-frame image reconstruction using Bayesian techniques to reduce noise, remove parallax, and produce 3D images for better statistics and deeper understanding of the images. We present the results of these techniques as applied to the HED hydrodynamic experiments performed by LANL.

*This work was supported by the US Department of Energy through the Los Alamos National Laboratory. Los Alamos National Laboratory is operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (Contract No. 89233218CNA000001)

Authors

  • K.A. Flippo

    • Los Alamos National Laboratory
    • LANL
    • Los Alamos National Lab
  • A.M. Rasmus

    • Los Alamos National Laboratory
  • Elizabeth Merritt

    • Los Alamos National Laboratory
    • Los Alamos National Lab
    • LANL
  • Tiffany Desjardins

    • Los Alamos National Laboratory
  • C.A. Di Stefano

    • Los Alamos National Laboratory
  • F.W. Doss

    • Los Alamos National Laboratory
  • Daniel Barnak

    • Los Alamos National Laboratory
  • Ben Tobias

    • Los Alamos National Laboratory
  • Codie Kawaguchi

    • Los Alamos National Laboratory
  • Sasikumar Palaniyappan

    • Los Alamos National Laboratory
    • Los Alamos National Laboratory, Los Alamos, NM 87545
    • Los Alamos National Lab
  • Josh Sauppe

    • Los Alamos National Laboratory
  • Thomas Archuleta

    • Los Alamos National Laboratory
  • Ray Gonzales

    • Los Alamos National Laboratory
  • C.C. Kuranz

    • University of Michigan
    • University of Michigan - Ann Arbor
    • U. of Michigan
    • U. of Michigan, USA