Optical design, analysis, and calibration using ∂Lux

Louis Desdoigts; Benjamin Pope; Peter Tuthill

doi:10.1117/12.2629774

27 August 2022 Optical design, analysis, and calibration using ∂Lux

Louis Desdoigts, Benjamin Pope, Peter Tuthill

Proceedings Volume 12180, Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave; 1218032 (2022) https://doi.org/10.1117/12.2629774
Event: SPIE Astronomical Telescopes + Instrumentation, 2022, Montréal, Québec, Canada

Conference Poster

Abstract

∂Lux is a newly developed optical modelling framework deigned to harness the tools underpinning the modern machine learning revolution and directly apply them to optics. Both neural networks and optical systems map an input vector to some output vector employing a series of intermediary linear transformations and nonlinear matrix operations. This isomorphism allows for optical models to be directly constructed within existing automatic differentiation libraries. ∂Lux exploits this relationship harnessing automatic differentiation libraries to create a naively end-to-end fully differentiable optical modelling framework. This may precipitate a paradigm shift in the power and utility of these optical models, opening the possibility to entirely novel algorithms and approaches. This manuscript explores some of the many ways to harness the potential of these codes, particularly focusing on the application example provided by the Toliman space telescope mission.

Citation Download Citation

Louis Desdoigts, Benjamin Pope, and Peter Tuthill "Optical design, analysis, and calibration using ∂Lux", Proc. SPIE 12180, Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave, 1218032 (27 August 2022); https://doi.org/10.1117/12.2629774

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