Centroid stabilization for laser alignment to corner cubes: designing a matched filter

Automation of image-based alignment of National Ignition Facility high energy laser beams is providing the capability of executing multiple target shots per day. One important alignment is beam centration through the second and third harmonic generating crystals in the final optics assembly (FOA), which employs two retroreflecting corner cubes as centering references for each beam. Beam-to-beam variations and systematic beam changes over time in the FOA corner cube images can lead to a reduction in accuracy as well as increased convergence durations for the template-based position detector. A systematic approach is described that maintains FOA corner cube templates and guarantees stable position estimation.

[1]  M S Alam,et al.  Class-associative multiple target detection by use of fringe-adjusted joint transform correlation. , 2002, Applied optics.

[2]  Ryan A. Kerekes,et al.  Selecting a composite correlation filter design: a survey and comparative study , 2008 .

[3]  Jerome M. Auerbach,et al.  NIF final optics system: frequency conversion and beam conditioning , 2004, SPIE LASE.

[4]  L. J. Atherton,et al.  Overview: Development of the National Ignition Facility and the Transition to a User Facility for the Ignition Campaign and High Energy Density Scientific Research , 2016 .

[5]  H. Caulfield,et al.  Generalized matched filtering. , 1980, Applied optics.

[6]  T Salmon,et al.  National Ignition Facility system alignment. , 2010, Applied optics.

[7]  M. Karim,et al.  Improved correlation discrimination using an amplitude-modulated phase-only filter. , 1990, Applied optics.

[8]  Bahram Javidi,et al.  Minimum mean-square-error filter for pattern recognition with spatially disjoint signal and scene noise , 1993 .

[9]  K. Wilhelmsen,et al.  2011 Status of the Automatic Alignment System for the National Ignition Facility , 2011 .

[10]  Tarek M Taha,et al.  Hardware accelerated optical alignment of lasers using beam-specific matched filters. , 2009, Applied optics.

[11]  Karl Wilhelmsen,et al.  Autonomous monitoring of control hardware to predict off-normal conditions using NIF automatic Alignment Systems , 2011 .

[12]  D. Casasent,et al.  Performance evaluation of minimum average correlation energy filters. , 1991, Applied optics.

[13]  Abdul A. S. Awwal,et al.  Optimization and improvement of FOA corner cube algorithm , 2004, SPIE Optics + Photonics.

[14]  Abdul Awwal,et al.  Centroid stabilization in alignment of FOA corner cube: designing of a matched filter , 2015, Photonics West - Lasers and Applications in Science and Engineering.

[15]  Abdul A. S. Awwal Multi-object feature detection and error correction for NIF automatic optical alignment , 2006, SPIE Optics + Photonics.

[16]  B. V. K. Vijaya Kumar,et al.  Correlation filters minimizing peak location errors , 1992 .

[17]  J L Horner,et al.  Pattern recognition with binary phase-only filters. , 1985, Applied Optics.

[18]  A. B. Vander Lugt,et al.  Signal detection by complex spatial filtering , 1964, IEEE Trans. Inf. Theory.

[19]  Karl S. Gudmundsson,et al.  Composite filters for search time reduction for 3D-model-based object recognition , 2003, SPIE Optics + Photonics.

[20]  Thad Salmon,et al.  Detection and tracking of the backreflection of potassium dihydrogen phosphate images in the presence or absence of a phase mask. , 2006, Applied optics.

[21]  Kaveh Heidary,et al.  Application of supergeneralized matched filters to target classification. , 2005, Applied optics.

[22]  A. Lohmann,et al.  SIGNIFICANCE OF PHASE AND AMPLITUDE IN THE FOURIER DOMAIN , 1997 .