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Modeling the National Ignition Facility neutron imaging system.

D C Wilson1, G P Grim, I L Tregillis

  • 1Los Alamos National Laboratory, Los Alamos, New Mexico 87544, USA. dcw@lanl.gov

The Review of Scientific Instruments
|November 2, 2010
PubMed
Summary
This summary is machine-generated.

Numerical modeling of the National Ignition Facility (NIF) neutron imaging system aids data analysis and system development. This advanced system captures images of implosion hot spots and colder fuel using neutrons of different energies.

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Area of Science:

  • Nuclear Fusion Diagnostics
  • Neutron Imaging Systems
  • Plasma Physics

Background:

  • The National Ignition Facility (NIF) utilizes neutron imaging for diagnosing inertial confinement fusion implosions.
  • Existing systems capture images based on neutron arrival time, differentiating between primary (hot spot) and scattered (colder fuel) neutrons.
  • Accurate data reduction and future system development require a comprehensive numerical model.

Purpose of the Study:

  • To develop and validate a numerical model for the NIF neutron imaging system.
  • To guide data reduction and inform the future design of the NIF neutron imaging system.
  • To evaluate the performance of different scintillator materials for neutron detection.

Main Methods:

  • Forward numerical modeling from target neutron emission to camera image.
  • Incorporation of pinhole assembly misalignment and point spread function variability.
  • Calibration using Omega experiments for scintillator properties and light levels.

Main Results:

  • The model accurately simulates neutron imaging, distinguishing hot spot and colder fuel characteristics.
  • Analysis of scintillator light decay suggests DPAC-30 and Liquid A are superior to BCF99-55.
  • The system's design accommodates pinhole misalignments up to ±175 μm.

Conclusions:

  • Numerical modeling is crucial for NIF neutron imaging system data analysis and optimization.
  • Alternative scintillators like DPAC-30 and Liquid A show promise for improved detector performance.
  • The validated model will enhance the interpretation of fusion implosion diagnostics.