Paper
4 November 2004 Evaluation of laser-based alignment algorithms under additive random and diffraction noise
Wilbert A. McClay III, Abdul Ahad Sami Awwal, Holger E. Jones, Karl Child Wilhelmsen, Walter Ferguson, Michael McGee, Mark G. Miller
Author Affiliations +
Abstract
The purpose of the automatic alignment algorithm at the National Ignition Facility (NIF) is to determine the position of a laser beam based on the position of beam features from video images. The position information obtained is used to command motors and attenuators to adjust the beam lines to the desired position, which facilitates the alignment of all 192 beams. One of the goals of the algorithm development effort is to ascertain the performance, reliability, and uncertainty of the position measurement. This paper describes a method of evaluating the performance of algorithms using Monte Carlo simulation. In particular we show the application of this technique to the LM1_LM3 algorithm, which determines the position of a series of two beam light sources. The performance of the algorithm was evaluated for an ensemble of over 900 simulated images with varying image intensities and noise counts, as well as varying diffraction noise amplitude and frequency. The performance of the algorithm on the image data set had a tolerance well beneath the 0.5-pixel system requirement.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wilbert A. McClay III, Abdul Ahad Sami Awwal, Holger E. Jones, Karl Child Wilhelmsen, Walter Ferguson, Michael McGee, and Mark G. Miller "Evaluation of laser-based alignment algorithms under additive random and diffraction noise", Proc. SPIE 5556, Photonic Devices and Algorithms for Computing VI, (4 November 2004); https://doi.org/10.1117/12.563804
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Cited by 4 scholarly publications.
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KEYWORDS
Diffraction

National Ignition Facility

Monte Carlo methods

Tolerancing

Image processing

Statistical analysis

Automatic alignment

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