Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Design challenges for chip lithography lenses

Not Accessible

Your library or personal account may give you access

Abstract

Lithographic lenses provide a phenomenal amount of image pixels in combination with amazingly small amounts of distortion and departure from field flatness. These difficult achievements require about twenty lens elements in today’s state-of-the-art designs. Their evolution from simpler versions is as haphazard as the birth of Topsey—they just grew. What is needed today is a more rational approach to lens design that would allow a controlled attack on the design of such systems. This should involve two efforts. The first is the settling, through theoretical research and experimentation, of several questions about what is the optimum way to achieve certain design goals, for example, what is the best balance between relaxation and strain in a design. Controlled amounts of the latter may be required for correction of seventh-order distortion and field curvature, but this limits field coverage due to bad ninth- and higher-orders. The other effort required is the further development of the design technique described elsewhere1 that allows one to build a design from scratch with the correction of the most difficult higher-order aberrations being built in from the beginning. This needs to be expanded to give seventh-order control early in the design evolution.

© 1991 Optical Society of America

PDF Article
More Like This
Modern Design of Unifocal Lenses

F. Ahsbahs and J.L. Mercier
FA2 Ophthalmic and Visual Optics (OVO) 1991

Catadioptric lithography lenses with beam splitter elements

Alan E. Rosenbluth, Rama Singh, Fuad Doany, Jean-Claude Chastang, and Janusz Wilczynski
FY4 OSA Annual Meeting (FIO) 1991

Issues and methods of designing lenses for optical lithography

T. Tsuruta
FB1 OSA Annual Meeting (FIO) 1991

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.