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Developing time-resolved x-ray diffraction diagnostics at the National Ignition Facility (invited)
N E Palmer1, L R Benedetti1, C E Vennari1
1Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
The Review of Scientific Instruments
|September 17, 2024
Summary
New x-ray imaging diagnostics were developed to measure phase transition timescales under dynamic compression. These diagnostics use gated hybrid CMOS sensors and have been refined for improved data quality and flexibility in laser-driven experiments.
Area of Science:
- Materials Science
- High-Energy-Density Physics
- X-ray Science
Background:
- Measuring phase transition timescales under dynamic compression is crucial for materials science.
- Existing methods face challenges in harsh experimental environments and signal-to-noise ratios.
Purpose of the Study:
- To design and develop advanced x-ray imaging diagnostics for in situ measurements of dynamic compression experiments.
- To overcome environmental challenges and improve x-ray diffraction data quality.
Main Methods:
- Development of staged diagnostics, starting with a demonstration platform (Gated Diffraction Development Diagnostic).
- Implementation of a flexible instrument (Flexible Imaging Diffraction Diagnostic for Laser Experiments) with multiple ns-gated hybrid CMOS sensors.
- Protection of sensors from debris, electromagnetic pulses, and laser light in a harsh environment.
Main Results:
- Successful protection of sensors and acquisition of acceptable diffraction data in the demonstration phase.
- Development of a more ambitious instrument capable of fielding up to eight sensors in a flexible geometry.
- Identification and progress in addressing challenges related to complexity and data quality at the National Ignition Facility (NIF).
Conclusions:
- Staged development approach effectively assessed risks and addressed challenges in designing complex x-ray diagnostics.
- The Flexible Imaging Diffraction Diagnostic for Laser Experiments offers enhanced capabilities for studying dynamic compression.
- Ongoing work focuses on reducing x-ray background and quantifying measurement uncertainties to improve data quality.
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