A rasterization-based ray-tracing method for laser–plasma interactions

Abstract This paper introduces a novel ray-tracing methodology for various gradient-index materials, particularly plasmas. The proposed approach utilizes adaptive-step Runge–Kutta integration to compute ray trajectories while incorporating an innovative rasterization step for ray energy deposition. By removing the requirement for rays to terminate at cell interfaces – a limitation inherent in earlier cell-confined approaches – the numerical formulation of ray motion becomes independent of specific domain geometries. This facilitates a unified and concise tracing method compatible with all commonly used curvilinear coordinate systems in laser–plasma simulations, which were previously unsupported or prohibitively complex under cell-confined frameworks. Numerical experiments demonstrate the algorithm’s stability and versatility in capturing diverse ray physics across reduced-dimensional planar, cylindrical and spherical coordinate systems. We anticipate that the rasterization-based approach will pave the way for the development of a generalized ray-tracing toolkit applicable to a broad range of fluid simulations and synthetic optical diagnostics.

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Publication Details

Journal
High Power Laser Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1017/hpl.2025.22
Primary Topic
Fluid Dynamics and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00

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article

A rasterization-based ray-tracing method for laser–plasma interactions

Guannan Zheng, Tao Tao, Xian Jiang, Hang Ding et al.
High Power Laser Science and Engineering
Fluid Dynamics and Heat Transfer
article

A rasterization-based ray-tracing method for laser–plasma interactions

Guannan Zheng, Tao Tao, Xian Jiang, Hang Ding, Z. Li, Rui Yan, Qing Jia, Jian Zheng, Jun Li, Haoran Liu, Kai Qian
article en

Abstract

Abstract This paper introduces a novel ray-tracing methodology for various gradient-index materials, particularly plasmas. The proposed approach utilizes adaptive-step Runge–Kutta integration to compute ray trajectories while incorporating an innovative rasterization step for ray energy deposition. By removing the requirement for rays to terminate at cell interfaces – a limitation inherent in earlier cell-confined approaches – the numerical formulation of ray motion becomes independent of specific domain geometries. This facilitates a unified and concise tracing method compatible with all commonly used curvilinear coordinate systems in laser–plasma simulations, which were previously unsupported or prohibitively complex under cell-confined frameworks. Numerical experiments demonstrate the algorithm’s stability and versatility in capturing diverse ray physics across reduced-dimensional planar, cylindrical and spherical coordinate systems. We anticipate that the rasterization-based approach will pave the way for the development of a generalized ray-tracing toolkit applicable to a broad range of fluid simulations and synthetic optical diagnostics.

High Power Laser Science and EngineeringVol. 13
University of Science and Technology of China (CN), Shanghai Jiao Tong University (CN), Plasma Technology (United States) (US)
National Natural Science Foundation of China, Chinese Academy of Sciences, Natural Science Foundation for Young Scientists of Shanxi Province, Young Scientists Fund, Science Challenge Project
Affordable and clean energy
Openalex Percentile: Top 85%
Fluid Dynamics and Heat Transfer
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