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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Ghost fringe removal techniques using Lissajous data presentation.

David J Erskine1, J H Eggert1, P M Celliers1

  • 1Lawrence Livermore National Laboratory, L-487, Livermore, California 94551, USA.

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Summary
This summary is machine-generated.

Accurately removing ghost artifacts from VISAR (Velocity Interferometer System for Any Reflector) data is crucial for precise shockwave experiments. This study presents a novel method using Lissajous path analysis to correct these artifacts, improving equation of state measurements.

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Area of Science:

  • * Physics
  • * Materials Science
  • * Optical Diagnostics

Background:

  • * The Velocity Interferometer System for Any Reflector (VISAR) is vital for shockwave experiments, measuring material equations of state (EOS) under extreme conditions.
  • * Unwanted laser reflections from target windows create 'ghost artifacts' in VISAR data, distorting or obscuring true velocity signals.
  • * Accurate removal of these ghost artifacts is essential for high-precision EOS measurements, particularly with weak shock front reflections.

Purpose of the Study:

  • * To develop and validate a robust method for removing ghost artifacts in VISAR data.
  • * To improve the accuracy of equation of state measurements in shockwave experiments.
  • * To provide a technique applicable to generic interferometers and surface metrology.

Main Methods:

  • * Utilizing Lissajous plots of the complex fringe signal to identify and correct the center of the signal path, even with time-varying intensity.
  • * Applying a simple translation in the complex plane to recenter the Lissajous path and eliminate ghost contributions.
  • * For continuous velocity histories, plotting fringe magnitude versus non-fringing intensity to optimize linearity and determine ghost offsets.
  • * For discontinuous velocity histories, employing graphical methods comparing data from two VISARs with different velocity-per-fringe sensitivities.

Main Results:

  • * A novel ghost artifact removal technique based on Lissajous path analysis has been developed.
  • * The method effectively recenters the VISAR signal path by correcting for ghost contributions.
  • * Linearity optimization in fringe magnitude vs. intensity plots proves valuable for continuous velocity data.
  • * Graphical comparison of dual-VISAR data successfully determines ghost offsets for discontinuous velocity histories.

Conclusions:

  • * The developed Lissajous path analysis method provides an accurate and effective means of removing ghost artifacts from VISAR data.
  • * This technique enhances the reliability of equation of state measurements in shockwave science.
  • * The method is versatile and can be applied to other interferometric techniques for artifact removal.