Statistical simulation of selectively assembled optical systems

Max C. Funck; Peter Loosen

doi:10.1117/12.827376

1 October 2009 Statistical simulation of selectively assembled optical systems

Max C. Funck, Peter Loosen

Proceedings Volume 7427, Optical Modeling and Performance Predictions IV; 74270B (2009) https://doi.org/10.1117/12.827376
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

Selective assembly is presently employed where fabrication of components to the required precision is infeasible, exceedingly expensive or if extremely high system performance is required. Even though these attributes frequently apply to optical systems, selective assembly is rarely applied. However, current investigations on selective assembly of microscope objectives can be found. A computer simulation approach has been taken to investigate the potential of selective assembly to optical systems, taking optic-specific influences and quality criteria into account. The process of selecting randomly distributed components and finding the best matches was modelled and integrated in ray-tracing simulations. Thus, the development environment originally used to design the optical system can also be used for the analyses. Components with parameters varying randomly according to their tolerance distributions are generated, possible component combinations created and entered in the ray-tracing simulation. Optimization steps can be employed accounting for alignment procedures or compensators. This procedure is repeated for sets of n components that shall be combined to exactly n systems. Out of all possible permutations the best set is chosen. Repetition of the experiment provides data for statistical analysis of the matching process. The method has been successfully applied to centration errors of a laser pump optic.

Citation Download Citation

Max C. Funck and Peter Loosen "Statistical simulation of selectively assembled optical systems", Proc. SPIE 7427, Optical Modeling and Performance Predictions IV, 74270B (1 October 2009); https://doi.org/10.1117/12.827376

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