SMS-based optimization strategy for ultra-compact SWIR telephoto lens design

Wang, Lin, Benítez Giménez, Pablo ORCID: https://orcid.org/0000-0002-5559-4593, Miñano Dominguez, Juan Carlos ORCID: https://orcid.org/0000-0003-2281-0728, Infante Herrero, Jose Manuel, Biot Marí, Guillermo and Fuente Puente, Marta de la (2012). SMS-based optimization strategy for ultra-compact SWIR telephoto lens design. "Optics Express", v. 20 (n. 9); pp. 9726-9735. ISSN 1094-4087. https://doi.org/10.1364/OE.20.009726.

Descripción

Título: SMS-based optimization strategy for ultra-compact SWIR telephoto lens design
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Optics Express
Fecha: Abril 2012
ISSN: 1094-4087
Volumen: 20
Número: 9
Materias:
ODS:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Electrónica Física
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

A new optical design strategy for rotational aspheres using very few parameters is presented. It consists of using the SMS method to design the aspheres embedded in a system with additional simpler surfaces (such as spheres, parabolas or other conics) and optimizing the free-parameters. Although the SMS surfaces are designed using only meridian rays, skew rays have proven to be well controlled within the optimization. In the end, the SMS surfaces are expanded using Forbes series and then a second optimization process is carried out with these SMS surfaces as a starting point. The method has been applied to a telephoto lens design in the SWIR band, achieving ultra-compact designs with an excellent performance.

Más información

ID de Registro: 19897
Identificador DC: https://oa.upm.es/19897/
Identificador OAI: oai:oa.upm.es:19897
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10207349
Identificador DOI: 10.1364/OE.20.009726
URL Oficial: http://www.opticsinfobase.org/oe/abstract.cfm?uri=...
Depositado por: Memoria Investigacion
Depositado el: 22 Sep 2013 07:26
Ultima Modificación: 15 Oct 2025 01:01