PACE OCI short-wave infrared detection assembly frequency-dependent linearity characterization and uncertainty analysis

Kenneth J. Squire; Jacob K. Hedelius; David K. Moser; James Q. Peterson; Eric T. Gorman; Emily Kan; D. Brent Mott; Ulrik B. Gliese; Gerhard Meister

doi:10.1117/12.2633617

30 September 2022 PACE OCI short-wave infrared detection assembly frequency-dependent linearity characterization and uncertainty analysis

Kenneth J. Squire, Jacob K. Hedelius, David K. Moser, James Q. Peterson, Eric T. Gorman, Emily Kan, D. Brent Mott, Ulrik B. Gliese, Gerhard Meister

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Proceedings Volume 12232, Earth Observing Systems XXVII; 1223212 (2022) https://doi.org/10.1117/12.2633617
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

The Ocean Color Instrument (OCI), the primary payload of the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) observatory, will collect data to monitor the health of Earth’s oceans and atmosphere. The Short-Wave Infrared (SWIR) Detection Assembly (SDA) was built and characterized by the Utah State University Space Dynamics Laboratory (SDL) and is a subsystem of OCI. The SDA measures seven bands centered at 940, 1038, 1250, 1378, 1615, 2130, and 2260 nm, with standard- and high-gain varieties for the 1250 and 1615 nm bands, resulting in nine total detection configurations in the SWIR. The delivery of high-quality science data is critically dependent upon accurately characterizing the linearity of the SDA. Two metrology techniques were employed to measure the linearity and characterize the frequency-dependent linearity uncertainty of the system. The first technique used superposition linearity measurements to determine the DC linearity, and the second technique involved an oscillating small-signal response at seven frequencies to determine the frequency-dependent linearity. Discrepancies between the DC and frequency-dependent linearities constrain the uncertainty between the two. Examining the difference between these two methods for all SDA channels, we find most channels experience an uncertainty below 0.2% with a worst-case measurement uncertainty of 0.31%. Averaging SDA channels with similar detectors, optical filters, and electronics to simulate the flight-like data products yields a worst-case frequency-dependence linearity uncertainty of 0.12%, demonstrating minimal frequency dependence, implying an excellent linearity knowledge. Detailed performance knowledge, including linearity performance, verifies data quality and builds confidence in the success of the PACE mission.

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Kenneth J. Squire, Jacob K. Hedelius, David K. Moser, James Q. Peterson, Eric T. Gorman, Emily Kan, D. Brent Mott, Ulrik B. Gliese, and Gerhard Meister "PACE OCI short-wave infrared detection assembly frequency-dependent linearity characterization and uncertainty analysis", Proc. SPIE 12232, Earth Observing Systems XXVII, 1223212 (30 September 2022); https://doi.org/10.1117/12.2633617

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