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Statistical simplex approach to primary and secondary color correction in thick lens assemblies
Author(s): Shelby D. V. Ament; Richard Pfisterer
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Paper Abstract

A glass selection optimization algorithm is developed for primary and secondary color correction in thick lens systems. The approach is based on the downhill simplex method, and requires manipulation of the surface color equations to obtain a single glass-dependent parameter for each lens element. Linear correlation is used to relate this parameter to all other glass-dependent variables. The algorithm provides a statistical distribution of Abbe numbers for each element in the system. Examples of several lenses, from 2-element to 6-element systems, are performed to verify this approach. The optimization algorithm proposed is capable of finding glass solutions with high color correction without requiring an exhaustive search of the glass catalog.

Paper Details

Date Published: 27 November 2017
PDF: 8 pages
Proc. SPIE 10590, International Optical Design Conference 2017, 1059007 (27 November 2017); doi: 10.1117/12.2287442
Show Author Affiliations
Shelby D. V. Ament, Edmund Optics (United States)
Richard Pfisterer, Photon Engineering, LLC (United States)

Published in SPIE Proceedings Vol. 10590:
International Optical Design Conference 2017
Peter P. Clark; Julius A. Muschaweck; Richard N. Pfisterer; John R. Rogers, Editor(s)

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