Abstract
The Sentinel-4 payload is a multi-spectral camera system which is designed to monitor atmospheric conditions over Europe. The German Aerospace Center (DLR) in Berlin, Germany conducted the verification campaign of the Focal Plane Subsystem (FPS) on behalf of Airbus Defense and Space GmbH, Ottobrunn, Germany. In this publication, we will present in detail the temperature dependence of dark signal for the CCD 376 (NIR) from e2v. Dark current is strongly temperature-dependent and is based on the thermal excitation of electrons in the conduction band. During the testing the temperature of the detectors was varied between 215K and 290K. Different models were examined, and corresponding deviations determined. Presenting the dark current by means of an Arrhenius plot, it can be shown, that the activation energy is about half of the band gap. As an important result it could be shown that the temperature dependence can be described by two activation energies.
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Acknowledgments
The presented work has been performed under ESA contract. The authors would like to express their thanks to their respective colleagues at Airbus Defense and Space, ESA and EUMETSAT, and to all partner companies within the Sentinel 4 industrial consortium for their valuable contributions to the continuing success of this very challenging program. This article has been produced with financial assistance of the EU. The views expressed herein shall not be taken to reflect the official opinion of the EU. The work presented in this paper was supported by a large number of people. The authors wish to acknowledge Max Harlander, Markus Hermsen, Yves Levillain, Christian Williges, Hannes Roßmann and Stefan Hilbert, for their exceptional support.
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Reulke, R., Skegg, M.P., Hohn, R. (2020). Temperature Dependence of Dark Signal for Sentinel-4 Detector. In: Cree, M., Huang, F., Yuan, J., Yan, W. (eds) Pattern Recognition. ACPR 2019. Communications in Computer and Information Science, vol 1180. Springer, Singapore. https://doi.org/10.1007/978-981-15-3651-9_22
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DOI: https://doi.org/10.1007/978-981-15-3651-9_22
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