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Related Experiment Video

Updated: Jun 27, 2026

Measurements of Soil Carbon by Neutron-Gamma Analysis in Static and Scanning Modes

Measurements of Soil Carbon by Neutron-Gamma Analysis in Static and Scanning Modes

Published on: August 24, 2017

The National Ignition Facility neutron imaging system.

Mark D Wilke¹, Steven H Batha, Paul A Bradley

¹Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, New Mexico 87545, USA. wilke@lanl.gov

The Review of Scientific Instruments

|December 3, 2008

Summary

A new neutron imaging system (NIS) will provide crucial data for National Ignition Facility (NIF) deuterium-tritium (DT) experiments. This system images neutrons to understand capsule performance and guide future experimental designs.

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Area of Science:

Nuclear fusion diagnostics
High-energy physics instrumentation

Background:

National Ignition Facility (NIF) is preparing for deuterium-tritium (DT) experiments.
Understanding capsule behavior requires advanced diagnostics for primary and downscattered neutrons.

Purpose of the Study:

To describe the design and predicted performance of a new neutron imaging system (NIS) for NIF.
To ensure the NIS meets NIF specifications for interpretable diagnostic data.

Main Methods:

Utilizing a precisely aligned aperture system near the target to form neutron images.
Employing a segmented scintillator and gated, intensified CCD camera for image recording.
Leveraging system modeling and data from the Omega NIS to guide the NIF NIS design.

Main Results:

The NIS design allows for imaging of downscattered neutrons from low-yield events (Y(n)>10^14).
The system is shielded to operate at high neutron yields (>10^18), unlike many other diagnostics.
Predicted performance of the NIF NIS is compared against NIF specifications.

Conclusions:

The developed NIS is expected to provide valuable neutron imaging data for NIF experiments.
The system's design addresses challenges of high neutron yields and background noise.
Modeling and component evaluation provide confidence in the predicted performance for NIF.