Lens design with automatic differentiation

Congli Wang; Ni Chen; Wolfgang Heidrich

doi:10.1364/ISA.2021.IF1D.6

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper IF1D.6
•https://doi.org/10.1364/ISA.2021.IF1D.6

Lens design with automatic differentiation

Congli Wang, Ni Chen, and Wolfgang Heidrich

Imaging Systems and Applications 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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Metasurfaces and Optics for Advanced Imaging (IF1D)

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C. Wang, N. Chen, and W. Heidrich, "Lens design with automatic differentiation," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper IF1D.6.

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Abstract

We propose to power lens design ray-tracing engines with automatic differentiation. Along with the primal, derivatives are algorithmically obtained for lens parameters. Exploiting the gradient information, applications are shown including design optimization and sensitivity analysis.

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