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18 June 2024 Chromatix: a high-performance differentiable wave optics simulation library
Diptodip Deb, Gert-Jan Both, Amey Chaware, Amit Kohli, Cédric Allier, Changjia Cai, Geneva Schlafly, Guanghan Meng, M. Hossein Eybposh, Magdalena C. Schneider, Rishi Athavale, Xi Yang, Nicolas C. Pégard, Patrick J. La Riviere, Roarke Horstmeyer, Srinivas C. Turaga
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Proceedings Volume PC13023, Computational Optics 2024; PC130230G (2024) https://doi.org/10.1117/12.3029443
Event: SPIE Optical Systems Design, 2024, Strasbourg, France
Abstract
We introduce Chromatix: an easy to use, open-source, differentiable wave optics simulation library. Engineered to fully exploit parallelism, from single CPU and GPU workstations to servers with multiple GPUs, Chromatix removes the computational scaling barrier for differentiable wave optics simulations. Chromatix allows for designing and optimizing a wide range of optical systems (e.g., tomography, light field microscopy, and ptychography) as well as solving inverse problems. We expect Chromatix to democratize and power the exploration of a rich design space in computational optics.
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Diptodip Deb, Gert-Jan Both, Amey Chaware, Amit Kohli, Cédric Allier, Changjia Cai, Geneva Schlafly, Guanghan Meng, M. Hossein Eybposh, Magdalena C. Schneider, Rishi Athavale, Xi Yang, Nicolas C. Pégard, Patrick J. La Riviere, Roarke Horstmeyer, and Srinivas C. Turaga "Chromatix: a high-performance differentiable wave optics simulation library", Proc. SPIE PC13023, Computational Optics 2024, PC130230G (18 June 2024); https://doi.org/10.1117/12.3029443
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KEYWORDS
Inverse optics
Optical simulations
Optical design
Computational imaging
Computer simulations
Design
Free space optics
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