Fast nonparaxial scalar focal field calculations
An efficient algorithm for calculating nonparaxial scalar field distributions in the focal region of a lens is discussed. The algorithm is based on fast Fourier transform implementations of the first Rayleigh-Sommerfeld diffraction integral and assumes that the input field at the pupil plane has a l...
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Veröffentlicht in: | Journal of the Optical Society of America. A, Optics, image science, and vision Optics, image science, and vision, 2014-06, Vol.31 (6), p.1206-1214 |
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creator | Hillenbrand, Matthias Hoffmann, Armin Kelly, Damien P Sinzinger, Stefan |
description | An efficient algorithm for calculating nonparaxial scalar field distributions in the focal region of a lens is discussed. The algorithm is based on fast Fourier transform implementations of the first Rayleigh-Sommerfeld diffraction integral and assumes that the input field at the pupil plane has a larger extent than the field in the focal region. A sampling grid is defined over a finite region in the output plane and referred to as a tile. The input field is divided into multiple separate spatial regions of the size of the output tile. Finally, the input tiles are added coherently to form a summed tile, which is propagated to the output plane. Since only a single tile is propagated, there are significant reductions of computational load and memory requirements. This method is combined either with a subpixel sampling technique or with a chirp z-transform to realize smaller sampling intervals in the output plane than in the input plane. For a given example the resulting methods enable a speedup of approximately 800× in comparison to the normal angular spectrum method, while the memory requirements are reduced by more than 99%. |
doi_str_mv | 10.1364/JOSAA.31.001206 |
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The algorithm is based on fast Fourier transform implementations of the first Rayleigh-Sommerfeld diffraction integral and assumes that the input field at the pupil plane has a larger extent than the field in the focal region. A sampling grid is defined over a finite region in the output plane and referred to as a tile. The input field is divided into multiple separate spatial regions of the size of the output tile. Finally, the input tiles are added coherently to form a summed tile, which is propagated to the output plane. Since only a single tile is propagated, there are significant reductions of computational load and memory requirements. This method is combined either with a subpixel sampling technique or with a chirp z-transform to realize smaller sampling intervals in the output plane than in the input plane. 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This method is combined either with a subpixel sampling technique or with a chirp z-transform to realize smaller sampling intervals in the output plane than in the input plane. For a given example the resulting methods enable a speedup of approximately 800× in comparison to the normal angular spectrum method, while the memory requirements are reduced by more than 99%.</description><subject>Algorithms</subject><subject>Diffraction</subject><subject>Intervals</subject><subject>Mathematical analysis</subject><subject>Planes</subject><subject>Reduction</subject><subject>Sampling</subject><subject>Scalars</subject><issn>1084-7529</issn><issn>1520-8532</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkL1PwzAUxC0EoqUws6GMLGnf80dij1VF-VClDsBsOY4tBblJiRMJ_nsMLaxMd0_63UnvCLlGmCMr-OJp-7xczhnOAZBCcUKmKCjkUjB6mjxInpeCqgm5iPENAHghy3MyoVyVJRNySmBt4pC1Xbs3vfloTMiiNcH0me-SZr5xoc6Ss2MwQ9O18ZKceROiuzrqjLyu715WD_lme_-4Wm5yyxgMuZDeCFlIK7B2xiFFY52orRQlCJuOShZKOFTSsRpRIQcPFZcVSMU8eDYjt4fefd-9jy4OetdE60IwrevGqLEQKVOi5P-jglOaHqYqoYsDavsuxt55ve-bnek_NYL-XlT_LKoZ6sOiKXFzLB-rnav_-N8J2Re4dG-P</recordid><startdate>20140601</startdate><enddate>20140601</enddate><creator>Hillenbrand, Matthias</creator><creator>Hoffmann, Armin</creator><creator>Kelly, Damien P</creator><creator>Sinzinger, Stefan</creator><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20140601</creationdate><title>Fast nonparaxial scalar focal field calculations</title><author>Hillenbrand, Matthias ; Hoffmann, Armin ; Kelly, Damien P ; Sinzinger, Stefan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c330t-58fa5868c51deae121ace5dc85705c1acb8695e198e3d119140f0b48b0893f0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Algorithms</topic><topic>Diffraction</topic><topic>Intervals</topic><topic>Mathematical analysis</topic><topic>Planes</topic><topic>Reduction</topic><topic>Sampling</topic><topic>Scalars</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hillenbrand, Matthias</creatorcontrib><creatorcontrib>Hoffmann, Armin</creatorcontrib><creatorcontrib>Kelly, Damien P</creatorcontrib><creatorcontrib>Sinzinger, Stefan</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of the Optical Society of America. 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subjects | Algorithms Diffraction Intervals Mathematical analysis Planes Reduction Sampling Scalars |
title | Fast nonparaxial scalar focal field calculations |
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