• Acta Optica Sinica
  • Vol. 43, Issue 21, 2122001 (2023)
Haisong Tang1、2, Xianglong Mao3、*, Zexin Feng1、2、**, and Haoran Li1、2
Author Affiliations
  • 1Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2MOE Key Laboratory of Optoelectronic Imaging Technology and Systems, Beijing Institute of Technology, Beijing 100081, China
  • 3The New Technology Laboratory of Space Photon Information, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi , China
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    DOI: 10.3788/AOS230880 Cite this Article Set citation alerts
    Haisong Tang, Xianglong Mao, Zexin Feng, Haoran Li. Monte Carlo Modeling Method for Surface Light Source[J]. Acta Optica Sinica, 2023, 43(21): 2122001 Copy Citation Text show less
    Schematic diagram of calculating the theoretical value of irradiance on the receiver radiated by the surface light source
    Fig. 1. Schematic diagram of calculating the theoretical value of irradiance on the receiver radiated by the surface light source
    XY-polynomial surface
    Fig. 2. XY-polynomial surface
    Sampling results for the XY-polynomial surface light source. (a) (b) (c) Sampled points, directions, and rays of uniform sampling with equal weights; (d) (e) (f) sampled points, directions, and rays of uniform sampling in parameter space with weights
    Fig. 3. Sampling results for the XY-polynomial surface light source. (a) (b) (c) Sampled points, directions, and rays of uniform sampling with equal weights; (d) (e) (f) sampled points, directions, and rays of uniform sampling in parameter space with weights
    Theoretical irradiance distribution on the receiver formed by the XY-polynomial surface light source. (a) 3D; (b) 2D
    Fig. 4. Theoretical irradiance distribution on the receiver formed by the XY-polynomial surface light source. (a) 3D; (b) 2D
    Error analysis of Monte Carlo modeling results for XY-polynomial surface light source. (a) Theoretical value of irradiance distribution on the receiver formed by surface light source; (b) (c) irradiance distribution on the receiver simulated by uniform sampling with equals weights and its error; (d) (e) irradiance distribution on the receiver simulated by uniform sampling in parameter space and its error
    Fig. 5. Error analysis of Monte Carlo modeling results for XY-polynomial surface light source. (a) Theoretical value of irradiance distribution on the receiver formed by surface light source; (b) (c) irradiance distribution on the receiver simulated by uniform sampling with equals weights and its error; (d) (e) irradiance distribution on the receiver simulated by uniform sampling in parameter space and its error
    NURBS surface and the grid points the surface pass through
    Fig. 6. NURBS surface and the grid points the surface pass through
    Sampling results for the NURBS surface light source. (a) (b) (c) Sampled points, directions, and rays of uniform sampling with equal weights; (d) (e) (f) sampled points, directions, and rays of uniform sampling in parameter space with weights
    Fig. 7. Sampling results for the NURBS surface light source. (a) (b) (c) Sampled points, directions, and rays of uniform sampling with equal weights; (d) (e) (f) sampled points, directions, and rays of uniform sampling in parameter space with weights
    Theoretical irradiance distribution on the receiver formed by the NURBS surface light source. (a) 3D; (b) 2D
    Fig. 8. Theoretical irradiance distribution on the receiver formed by the NURBS surface light source. (a) 3D; (b) 2D
    Error analysis of Monte Carlo modeling results for NURBS surface light source. (a) Theoretical value of irradiance distribution on the receiver formed by surface light source; (b) (c) irradiance distribution on the receiver simulated by uniform sampling with equal weights and its error; (d) (e) irradiance distribution on the receiver simulated by uniform sampling in parameter space and its error
    Fig. 9. Error analysis of Monte Carlo modeling results for NURBS surface light source. (a) Theoretical value of irradiance distribution on the receiver formed by surface light source; (b) (c) irradiance distribution on the receiver simulated by uniform sampling with equal weights and its error; (d) (e) irradiance distribution on the receiver simulated by uniform sampling in parameter space and its error
    Comparison of error and time consumption of different modeling methods for surface light sources. (a) The error of different modeling methods varying with the number of rays; (b) the time consumption of different modeling methods varying with the number of rays
    Fig. 10. Comparison of error and time consumption of different modeling methods for surface light sources. (a) The error of different modeling methods varying with the number of rays; (b) the time consumption of different modeling methods varying with the number of rays
    Polynomial termParameter valuePolynomial termParameter valuePolynomial termParameter value
    c0.0100c3x20.0050c7x2y0.0013
    k-0.0800c4xy-0.0100c8xy2-0.0008
    c1x-0.1000c5y20.0040c9y3-0.0011
    c2y-0.1000c6x30.0010
    Table 1. Parameters of the XY-polynomial surface of the surface light source
    Haisong Tang, Xianglong Mao, Zexin Feng, Haoran Li. Monte Carlo Modeling Method for Surface Light Source[J]. Acta Optica Sinica, 2023, 43(21): 2122001
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