Sequence ray trace for efficient and robust stray light analysis

Yong Fang; William J. Cassarly

doi:10.1117/12.3000087

12 March 2024 Sequence ray trace for efficient and robust stray light analysis

Yong Fang, William J. Cassarly

Proceedings Volume 12913, Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) V; 129130X (2024) https://doi.org/10.1117/12.3000087
Event: SPIE AR | VR | MR, 2024, San Francisco, California, United States

Abstract

Non-sequential Monte Carlo ray trace is used to simulate light propagation through complex optical systems. When a ray is traced, the ray splits at surfaces and generates multiple out going ray segments. A large power threshold or a probabilistic split approach is typically used to limit the number of segments. However, these approaches reduce accuracy by either losing low power segments or reducing the number of segments in low power paths. In this paper we examine the use of sequence ray tracing to generate stray light distributions. When a ray is propagated from one surface to the next surface in a sequence, the ray can be transmitted and/or reflected/TIRed (total internal reflection). It can also be specular or diffuse and can be blocked by a surface that is not part of the sequence. The traditional sequence definition is enriched to define what type of rays are allowed to propagate and allow rays to be blocked by surfaces that are not part of the sequence. Stray light analysis usually contains multiple stray light paths. Identifying these paths and creating sequences from them for an optical model is an art that requires significant optical expertise. To make this easier, a stray light sequence generation algorithm can be used to create the initial stray light sequences. Once the sequences are specified, the illuminance distribution of the specified stray light paths can be quickly traced. A ray trace algorithm to trace multiple sequences simultaneously without limiting the power threshold or using probabilistic split has been implemented. In typical cases, we see greater than 10X speed improvements with no loss in accuracy. Examples illustrating typical use cases will be shown.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yong Fang and William J. Cassarly "Sequence ray trace for efficient and robust stray light analysis", Proc. SPIE 12913, Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) V, 129130X (12 March 2024); https://doi.org/10.1117/12.3000087

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KEYWORDS

Ray tracing

Stray light

Reflection

Monte Carlo methods

Image segmentation

Mirrors

Optical surfaces

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