Fast freeform optics design for high-contrast irradiance tailoring using optics-heuristic auction algorithm and rejection sampling

Freeform lens design for producing a high-contrast irradiance distribution from a zero-étendue source can be related to an optimal transport problem. This problem can be discretized into a linear assignment problem, but existing solutions are often computationally expensive and time-consuming. To accelerate the process, we introduce rejection sampling for faster discretization and a heuristic auction algorithm with an optimization step size adapted to optical features enabling the rapid solution of the linear assignment problem. Furthermore, freeform surface construction is automatically calculated to ensure surface continuity. The effectiveness of the proposed method is demonstrated through four examples designed to generate near-field and far-field distributions. These examples involve generating distributions in the shape of zero-background letters "BIT" and an Einstein portrait, from either parallel beams or point sources. In these examples, our method exhibits improved optical performance while significantly increasing the overall computational efficiency.

Authors

Publication Details

Journal
Optics Express
Published
2025-11-25
DOI
https://doi.org/10.1364/oe.578745
Primary Topic
Advanced optical system design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast freeform optics design for high-contrast irradiance tailoring using optics-heuristic auction algorithm and rejection sampling

Haisong Tang, ZeXin Feng, Haoran Li
Optics Express
Advanced optical system design
article

Fast freeform optics design for high-contrast irradiance tailoring using optics-heuristic auction algorithm and rejection sampling

Haisong Tang, ZeXin Feng, Haoran Li
article en

Abstract

Freeform lens design for producing a high-contrast irradiance distribution from a zero-étendue source can be related to an optimal transport problem. This problem can be discretized into a linear assignment problem, but existing solutions are often computationally expensive and time-consuming. To accelerate the process, we introduce rejection sampling for faster discretization and a heuristic auction algorithm with an optimization step size adapted to optical features enabling the rapid solution of the linear assignment problem. Furthermore, freeform surface construction is automatically calculated to ensure surface continuity. The effectiveness of the proposed method is demonstrated through four examples designed to generate near-field and far-field distributions. These examples involve generating distributions in the shape of zero-background letters "BIT" and an Einstein portrait, from either parallel beams or point sources. In these examples, our method exhibits improved optical performance while significantly increasing the overall computational efficiency.

Optics ExpressVol. 33(26)
Openalex Percentile: Top 65%
Advanced optical system design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.