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Monte-Carlo modelling to determine optimum filter choices for sub-microsecond optical pyrometry
Author(s) -
Thomas A. Ota,
David J. Chapman,
Daniel Eakins
Publication year - 2017
Publication title -
review of scientific instruments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 165
eISSN - 1089-7623
pISSN - 0034-6748
DOI - 10.1063/1.4978906
Subject(s) - pyrometer , passband , monte carlo method , microsecond , optics , filter (signal processing) , wavelength , noise (video) , computer science , optical filter , band pass filter , physics , temperature measurement , mathematics , statistics , quantum mechanics , artificial intelligence , image (mathematics) , computer vision

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