At the 2017 IODC, David Shafer gave a paper [1], and showed how a catadioptric design form could be improved by evolving from some elements being used in single pass to them being used double pass. He observed that this evolution couldn’t occur with a design program’s optimizer because the sequential modeling paradigm doesn’t support this without additional input from the user. The designer, on the other hand, can see the possibility of moving elements to jump to a new solution space. This comment was a catalyst for reexamining how sequential optical modeling developed. The goal is to address the modeling issue identified by Shafer without sacrificing the simplicity of sequential model specification. In other words, can an image forming modeling system be built that: • Retains the optimum performance and convenience of sequential models • While providing greater support for the designer’s view of the actual optical system. To assess the feasibility of these ideas, the software package ray-optics was developed using the Python language. Python is very advantageous for prototyping scientific software because of its broad ecosystem of open-source math and science software packages.
The method of Grey’s orthonormal optimization is reviewed. Aspects of the method that contributed to its success are reviewed, and factors limiting its application are discussed. Current status of the method is summarized.
KEYWORDS: Monte Carlo methods, Ray tracing, Optimization (mathematics), Computing systems, Imaging systems, Reflectors, Detection and tracking algorithms, Systems modeling, Algorithm development, Illumination software
Over the last 35 years, optimization of imaging systems has become commonplace. With the advent of powerful illumination software design packages, the industry is poised for illumination optimization. Trends and examples will be provided.
Use of a solid modeler and ray topology information allows logical decisions to replace fuzzy numerical comparisons when determining the correct ray path in a non-sequential ray trace.
As illumination systems geometries become more complex, and specifications on them more stringent, physical prototyping is becoming more costly. Having the ability to accurately model illumination systems using software can significantly reduce the number of prototypes. Software also allows the user to quickly experiment with different designs which couldn't otherwise be modeled using prototypes. This paper discusses how one would use LightTools, a new 3-D interactive CAD modeling software package which can solve many illumination problems. Examples of illumination systems will be presented showing quantitative illuminance and intensity output.
Optical systems utilizing diffractive optics often are non-rotationally symmetric systems. Use of a 3D element based modeling paradigm instead of a conventional surface based approach can make set up and perturbation studies of systems with diffractive optics more straightforward and reliable. This is demonstrated using planar optical interconnect systems for examples.
The status of an effort by the International Standards Organization (ISO) to develop a standardized format for electronic exchange of data defining optical systems is presented. Interlinking of this effort with ISO 10303, the standard for the exchange of product model data (STEP) is also described.
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