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Session Overview
Session
TOM Adaptive S3: Adaptive and Freeform Optics
Time:
Thursday, 28/Aug/2025:
10:30am - 12:00pm

Session Chair: Alois Herkommer, University Stuttgart, Germany
Location: Collegezaal D


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Presentations
10:30am - 11:00am
INVITED

Inverse methods for design in nonimaging optics

Martijn Anthonissen1, Jan ten Thije Boonkkamp1, Wilbert IJzerman1,2

1Eindhoven University of Technology, Netherlands, The; 2Signify Research

We consider the inverse problem from nonimaging optics: given a source and its light distribution, find the optical surfaces that transform

the light into a desired target distribution. We present models for optical systems with a parallel or point source. The surfaces (lens or reflector) are freeform. Our models are based on Hamilton's characteristic functions and energy conservation.



11:00am - 11:15am

Designing Fresnel phase elements with differentiable raytracing

Jeroen Cerpentier, Youri Meuret

KU Leuven, Belgium

Phase elements can enhance the performance of imaging systems while reducing their size, by adding continuous phase gradients on top of the geometrical surface. Compared to their typical implementation as diffractive elements, Fresnel optics can achieve similar performance, while maintaining broadband functionality. This work introduces a methodology to optimize such Fresnel surfaces, resulting in high-performance, compact imaging designs.



11:15am - 11:30am

An inverse method to compute freeform optical surfaces for generalized zero-étendue sources

Pieter A. Braam1, Jan H.M. ten Thije Boonkkamp1, Martijn J.H. Anthonissen1, Koondanibha Mitra1, Lisa Kusch1, Wilbert L. IJzerman1,2

1Eindhoven University of Technology, The Netherlands; 2Signify Research, The Netherlands

We present an inverse method to compute freeform reflector and lens surfaces for generalized zero-étendue sources. The initial position and direction of a light ray is parameterized by two source planes and the final position and direction of a light ray is parameterized by two target planes. We use energy conservation to determine optical mappings, and we use the optical path length to derive equations for the optical surfaces. In two numerical examples, we illustrate the algorithm's capabilities to tackle complex light distributions.



11:30am - 11:45am

Comparison of Phase Space and Quasi-Monte Carlo Ray Tracing for the 3D Compound Parabolic Concentrator

Willem Jansen1, Martijn Anthonissen1, Jan ten Thije Boonkkamp1, Wilbert IJzerman2,1

1Eindhoven University of Technology, Netherlands, The; 2Signify Research, Netherlands, The

Phase space ray tracing is an alternative to (Quasi-)Monte Carlo ray tracing in 2D. We introduce a 3D phase space algorithm and apply it to the compound parabolic concentrator. Our results show that phase space ray tracing outperforms Quasi-Monte Carlo ray tracing in 3D.



11:45am - 12:00pm

Hybrid Neural and Deconvolution Approach for Finite-Source Reflector Design

Roel Hacking1, Lisa Kusch1, Koondanibha Mitra1, Martijn Anthonissen1, Wilbert IJzerman1,2

1Eindhoven University of Technology; 2Signify

We present a hybrid method for reflector design with finite light sources, combining a neural-network-based solver with a deconvolution-inspired iterative correction scheme. Our approach addresses the limitations of classical techniques, which often assume idealized point or parallel sources, by solving a simplified problem using a neural network and refining the solution via feedback from ray-traced simulations of the full finite-source system. We demonstrate the effectiveness of our method on a representative example, showing improved convergence toward a prescribed far-field intensity distribution compared to the approximate problem's solution.