Optical characterization of the Sandia fog facility for computational sensing

Brian Z. Bentz; Christian A. Pattyn; Brian J. Redman; John P. Zenker; Elihu Deneke; Andres L. Sanchez; Karl Westlake; John D. van der Laan; Jeremy B. Wright

doi:10.1364/LACSEA.2022.LF1C.3

Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)
Technical Digest Series (Optica Publishing Group, 2022),
paper LF1C.3
•https://doi.org/10.1364/LACSEA.2022.LF1C.3

Optical characterization of the Sandia fog facility for computational sensing

Brian Z. Bentz, Christian A. Pattyn, Brian J. Redman, John P. Zenker, Elihu Deneke, Andres L. Sanchez, Karl Westlake, John D. van der Laan, and Jeremy B. Wright

Laser Applications to Chemical, Security and Environmental Analysis 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-10-4

From the session
Machine Learning and Computational Sensing (Joint Theme COSI and LACSEA on Machine Learning) (LF1C)

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B. Z. Bentz, C. A. Pattyn, B. J. Redman, J. P. Zenker, E. Deneke, A. L. Sanchez, K. Westlake, J. D. van der Laan, and J. B. Wright, "Optical characterization of the Sandia fog facility for computational sensing," in Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Technical Digest Series (Optica Publishing Group, 2022), paper LF1C.3.

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Abstract

We present optical metrology at the Sandia fog chamber facility. Repeatable and well characterized fogs are generated under different atmospheric conditions and applied for light transport model validation and computational sensing development.

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