Deep learning models can infer per-lens misalignment errors from simulated optical measurements in multi-lens systems, with accuracy of about 0.03 mm and 0.01 degrees in the spot-diagram method.
Extended hartmann test based on the pseudoguiding property of a hartmann maskcompleted by a phase chessboard,
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Deep Learning for Optical Misalignment Diagnostics in Multi-Lens Imaging Systems
Deep learning models can infer per-lens misalignment errors from simulated optical measurements in multi-lens systems, with accuracy of about 0.03 mm and 0.01 degrees in the spot-diagram method.