27 November 2017 Statistical simplex approach to primary and secondary color correction in thick lens assemblies
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Proceedings Volume 10590, International Optical Design Conference 2017; 1059007 (2017) https://doi.org/10.1117/12.2287442
Event: International Optical Design Conference - IODC 2017, 2017, Denver, United States
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.
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Shelby D. V. Ament, Richard Pfisterer, "Statistical simplex approach to primary and secondary color correction in thick lens assemblies ", Proc. SPIE 10590, International Optical Design Conference 2017, 1059007 (27 November 2017); doi: 10.1117/12.2287442; https://doi.org/10.1117/12.2287442
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