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dc.contributor.authorSmith, Greg A.
dc.date.accessioned2021-06-10T22:19:21Z
dc.date.available2021-06-10T22:19:21Z
dc.date.issued2021-05-25
dc.identifier.citationSmith, G. A. (2021). 2D zonal integration with unordered data. Applied Optics, 60(16), 4662-4667.en_US
dc.identifier.issn1559-128X
dc.identifier.doi10.1364/ao.426162
dc.identifier.urihttp://hdl.handle.net/10150/659858
dc.description.abstractNumerical integration of two-dimensional gradient data is an important step for many slope-measuring optical instruments. However, existing methods are limited by low accuracy or data location restrictions. The zonal integration algorithm in this paper is a generalized process that works with unordered data viaTaylor series approximations of finite difference calculations. This method does not require iteration, and all significant steps rely on matrix calculations for a least-squares solution. Simultaneous integration and interpolation is achieved with high accuracy and arbitrary data locations. © 2021 Optical Society of America.en_US
dc.language.isoenen_US
dc.publisherThe Optical Societyen_US
dc.rights© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.en_US
dc.rights.urihttps://doi.org/10.1364/OA_License_v1#VOR-OAen_US
dc.title2D zonal integration with unordered dataen_US
dc.typeArticleen_US
dc.identifier.eissn2155-3165
dc.contributor.departmentUniversity of Arizona, James C. Wyant College of Optical Sciencesen_US
dc.identifier.journalApplied Opticsen_US
dc.description.noteOpen access articleen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleApplied Optics
dc.source.volume60
dc.source.issue16
dc.source.beginpage4662
refterms.dateFOA2021-06-10T22:19:22Z


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