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Gamma Imaging of Inertial Confinement Fusion Implosions

ORAL

Abstract

The nuclear imaging team has recently acquired the first gamma images of inertial confinement fusion implosions at the National Ignition Facility. The gamma image provides crucial information in our quest to fully characterize the inertial confinement fuel assembly at stagnation. Gamma imaging is a powerful technique that visualizes both gamma radiation emitted directly in Deuterium-Tritium (DT) fusion reactions as well as gammas produced when DT fusion neutrons scatter on Carbon atoms in the remaining ablator of the fuel capsule. The resulting image provides valuable information on the location of the remaining ablator location and mass, as well as potential contamination of the hot spot. We present recent gamma imaging data, analysis techniques, and interpretations illustrating the capabilities of this novel diagnostic. See N. Hoffman's talk at this conference for associated model calculations.

Presenters

  • Verena Geppert-Kleinrath

    Los Alamos National Laboratory

Authors

  • Verena Geppert-Kleinrath

    Los Alamos National Laboratory

  • Noah W Birge

    Los Alamos National Laboratory

  • Anemarie DeYoung

    Los Alamos National Laboratory

  • David Fittinghoff

    Lawrence Livermore Natl Lab, Lawrence Livermore National Laboratory

  • Matthew Freeman

    Los Alamos National Laboratory

  • Hermann Geppert-Kleinrath

    Los Alamos National Laboratory

  • Nelson M Hoffman

    Los Alamos National Laboratory, Los Alamos Natl Lab

  • Yongho Kim

    Los Alamos Natl Lab, Los Alamos National Lab, Los Alamos National Laboratory

  • Kevin Lamb

    Los Alamos National Laboratory

  • Kevin D Meany

    Los Alamos National Laboratory, Los Alamos National Lab, Los Alamos Natl Lab

  • George Morgan

    Los Alamos National Laboratory

  • Michael S Rubery

    Lawrence Livermore National Laboratory, Lawrence Livermore Natl Lab, Lawrence Livermaore National Laboratory, LLNL

  • Carl H Wilde

    Los Alamos National Laboratory

  • Petr L Volegov

    Los Alamos National Laboratory