10 May 2018 Statistical simplex approach to primary and secondary color correction in thick lens assemblies
Author Affiliations +
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 two- to six-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.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Shelby D. V. Ament, Shelby D. V. Ament, Richard N. Pfisterer, Richard N. Pfisterer, } "Statistical simplex approach to primary and secondary color correction in thick lens assemblies," Optical Engineering 57(10), 101703 (10 May 2018). https://doi.org/10.1117/1.OE.57.10.101703 . Submission: Received: 29 January 2018; Accepted: 12 April 2018
Received: 29 January 2018; Accepted: 12 April 2018; Published: 10 May 2018
JOURNAL ARTICLE
7 PAGES


SHARE
RELATED CONTENT

Advances in the SMS design method for imaging optics
Proceedings of SPIE (September 21 2011)
Thin lens design of Cooke triplet lenses application of...
Proceedings of SPIE (December 08 1998)
Global and local optimization in the GOLD program
Proceedings of SPIE (September 27 1999)

Back to Top