dc.contributor.author |
Zheng, Nan |
|
dc.contributor.author |
Hagen, Nathan |
|
dc.contributor.author |
Brady, David J |
|
dc.coverage.spatial |
United States |
|
dc.date.accessioned |
2011-06-21T17:27:43Z |
|
dc.date.issued |
2010-08-01 |
|
dc.identifier |
http://www.ncbi.nlm.nih.gov/pubmed/20686583 |
|
dc.identifier |
203785 |
|
dc.identifier.uri |
https://hdl.handle.net/10161/4236 |
|
dc.description.abstract |
We have developed an alternative approach to optical design which operates in the
analytical domain so that an optical designer works directly with rays as analytical
functions of system parameters rather than as discretely sampled polylines. This is
made possible by a generalization of the proximate ray tracing technique which obtains
the analytical dependence of the rays at the image surface (and ray path lengths at
the exit pupil) on each system parameter. The resulting method provides an alternative
direction from which to approach system optimization and supplies information which
is not typically available to the system designer. In addition, we have further expanded
the procedure to allow asymmetric systems and arbitrary order of approximation, and
have illustrated the performance of the method through three lens design examples.
|
|
dc.language |
eng |
|
dc.language.iso |
en_US |
|
dc.publisher |
The Optical Society |
|
dc.relation.ispartof |
J Opt Soc Am A Opt Image Sci Vis |
|
dc.title |
Analytic-domain lens design with proximate ray tracing. |
|
dc.title.alternative |
|
|
dc.type |
Journal article |
|
duke.contributor.id |
Brady, David J|0273771 |
|
dc.description.version |
Version of Record |
|
duke.date.pubdate |
2010-8-0 |
|
duke.description.issue |
8 |
|
duke.description.volume |
27 |
|
dc.relation.journal |
Journal of the Optical Society of America A-Optics Image Science and Vision |
|
pubs.author-url |
http://www.ncbi.nlm.nih.gov/pubmed/20686583 |
|
pubs.begin-page |
1791 |
|
pubs.end-page |
1802 |
|
pubs.issue |
8 |
|
pubs.organisational-group |
Duke |
|
pubs.organisational-group |
Electrical and Computer Engineering |
|
pubs.organisational-group |
Pratt School of Engineering |
|
pubs.publication-status |
Published |
|
pubs.volume |
27 |
|
dc.identifier.eissn |
1520-8532 |
|