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

Abdul A. S. Awwal; Erlan Bliss; Gordon Brunton; Victoria Miller Kamm; Richard R. Leach; Roger Lowe-Webb; Randy Roberts; Karl Wilhelmsen

doi:10.1364/AO.56.000A41

Applied Optics
Vol. 56,
Issue 1,
pp. A41-A51
(2017)
•https://doi.org/10.1364/AO.56.000A41

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

Abdul A. S. Awwal, Erlan Bliss, Gordon Brunton, Victoria Miller Kamm, Richard R. Leach, Roger Lowe-Webb, Randy Roberts, and Karl Wilhelmsen

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Abdul A. S. Awwal, Erlan Bliss, Gordon Brunton, Victoria Miller Kamm, Richard R. Leach, Roger Lowe-Webb, Randy Roberts, and Karl Wilhelmsen, "Centroid stabilization for laser alignment to corner cubes: designing a matched filter," Appl. Opt. 56, A41-A51 (2017)

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About this Article
History
- Original Manuscript: August 4, 2016
- Revised Manuscript: October 11, 2016
- Manuscript Accepted: October 12, 2016
- Published: November 8, 2016

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Abstract

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.

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	Std $d$	Radial Deviation Left	Radial Deviation Right	Range Left- $x$	Range Left- $y$	Range Right- $x$	Range Right- $y$	Range Distance	Total Error	Alpha	0.1 rad Left	0.1 rad Right	Filter	Comment
Left	0.04	0.113	0.118	0.139	0.116	0.127	0.111	0.2	1.06		100%	100%	CMF	2nd best
Right	0.043	0.12	0.117	0.147	0.13	0.132	0.11	0.2	1.088		100%	100%	CMF
Comp	0.046	0.12	0.12	0.151	0.12	0.139	0.108	0.21	1.116		100%	100%	CMF
Left	0.0389	0.096	0.096	0.112	0.11	0.107	0.13	0.196	0.98	1.0E-6	100%	100%	POF	Winner
Right	0.05	0.148	0.0904	0.214	0.108	0.102	0.0844	0.258	1.16	1.0E-6	96%	100%	MPOF
Comp1	0.048	0.1	0.12	0.12	0.11	0.149	0.086	0.23	1.09	1.0E-6	100%	100%	MPOF

Filter Type	std $d$	Radial Deviation Left	Radial Deviation Right	Range Left- $x$	Range Left- $y$	Range Right- $x$	Range Right- $y$	Range- Distance	Total Error	Alpha	0.1 rad Left	0.1 rad Right	Filter	Comment
Left	0.0454	0.159	0.118	0.202	0.202	0.131	0.139	0.235	1.325	0	94%	100%	CMF	No outlier
Right	0.047	0.151	0.145	0.202	0.177	0.244	0.162	0.236	1.46	0	96%	99%	CMF	One outlier
Comp	0.052	0.179	0.151	0.21	0.24	0.24	0.16	0.27	1.61	0	93%	98%	CMF	One outlier
Left													MPOF	Bad
Right													MPOF	Bad
Comp	0.06	0.173	0.192	0.269	0.179	0.196	0.216	0.28	1.689	1.E-6	95%	91%	MPOF

Radius	Probability
0.01	0.01
0.02	0.13
0.03	0.33
0.04	0.48
0.05	0.58
0.06	0.75
0.07	0.85
0.08	0.88
0.09	0.92
0.1	0.93
0.11	0.94
0.12	0.95
0.13	0.96
0.14	0.96
0.15	0.96

	Std $d$	Radial Deviation Left	Radial Deviation Right	Range Left- $x$	Range Left- $y$	Range Right- $x$	Range Right- $y$	Range Distance	Total Error	Alpha	0.1 rad Left	0.1 rad Right	Filter	Comment
Left	0.04	0.113	0.118	0.139	0.116	0.127	0.111	0.2	1.06		100%	100%	CMF	2nd best
Right	0.043	0.12	0.117	0.147	0.13	0.132	0.11	0.2	1.088		100%	100%	CMF
Comp	0.046	0.12	0.12	0.151	0.12	0.139	0.108	0.21	1.116		100%	100%	CMF
Left	0.0389	0.096	0.096	0.112	0.11	0.107	0.13	0.196	0.98	1.0E-6	100%	100%	POF	Winner
Right	0.05	0.148	0.0904	0.214	0.108	0.102	0.0844	0.258	1.16	1.0E-6	96%	100%	MPOF
Comp1	0.048	0.1	0.12	0.12	0.11	0.149	0.086	0.23	1.09	1.0E-6	100%	100%	MPOF

Filter Type	std $d$	Radial Deviation Left	Radial Deviation Right	Range Left- $x$	Range Left- $y$	Range Right- $x$	Range Right- $y$	Range- Distance	Total Error	Alpha	0.1 rad Left	0.1 rad Right	Filter	Comment
Left	0.0454	0.159	0.118	0.202	0.202	0.131	0.139	0.235	1.325	0	94%	100%	CMF	No outlier
Right	0.047	0.151	0.145	0.202	0.177	0.244	0.162	0.236	1.46	0	96%	99%	CMF	One outlier
Comp	0.052	0.179	0.151	0.21	0.24	0.24	0.16	0.27	1.61	0	93%	98%	CMF	One outlier
Left													MPOF	Bad
Right													MPOF	Bad
Comp	0.06	0.173	0.192	0.269	0.179	0.196	0.216	0.28	1.689	1.E-6	95%	91%	MPOF

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Applied Optics