| Issue |
EPJ Web Conf.
Volume 335, 2025
EOS Annual Meeting (EOSAM 2025)
|
|
|---|---|---|
| Article Number | 02011 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting - Adaptive and Freeform Optics | |
| DOI | https://doi.org/10.1051/epjconf/202533502011 | |
| Published online | 22 September 2025 | |
https://doi.org/10.1051/epjconf/202533502011
Hybrid Neural and Deconvolution Approach for Finite-Source Reflector Design
1 Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
2 Signify, High Tech Campus 7, 5656 AE Eindhoven, The Netherlands
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 22 September 2025
Abstract
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.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.