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    Signal nonlinearity measurements and corrections in MWIR and LWIR HgCdTe H2RG arrays for NEO Surveyor

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    Author
    Zengilowski, G.R.
    McMurtry, C.W.
    Pipher, J.L.
    Reilly, N.S.
    Forrest, W.J.
    Cabrera, M.S.
    Dorn, M.L.
    Wong, A.F.
    Mainzer, A.K.
    Affiliation
    University of Arizona, Lunar and Planetary Sciences Laboratory
    Issue Date
    2020
    Keywords
    HgCdTe
    Infrared Detector
    LWIR
    MWIR
    Nearest Neighbor Interactions
    Nonlinearity
    
    Metadata
    Show full item record
    Publisher
    SPIE
    Citation
    Zengilowski, G. R., McMurtry, C. W., Pipher, J. L., Reilly, N. S., Forrest, W. J., Cabrera, M. S., ... & Mainzer, A. K. (2020, December). Signal nonlinearity measurements and corrections in MWIR and LWIR HgCdTe H2RG arrays for NEO surveyor. In X-Ray, Optical, and Infrared Detectors for Astronomy IX (Vol. 11454, p. 1145435). International Society for Optics and Photonics.
    Journal
    Proceedings of SPIE - The International Society for Optical Engineering
    Rights
    Copyright © 2020 SPIE.
    Collection Information
    This 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.
    Abstract
    The depletion region around each p-n junction in HgCdTe HAWAII-2RG detector arrays decreases in volume as charge is collected, causing the pixel capacitance to change continuously throughout an integration period. This changing capacitance manifests as a steadily decreasing measured signal rate while observing a constant flux. Ignoring this nonlinear response to signal accumulation can lead to underestimating the number of detected pho- tons by as much as 10%. Presented here are two methods, one simple and one complex, of measuring this signal nonlinearity and a theoretical framework behind a nonlinearity correction method. Additionally, experimental data are compared with simulations to explain methods to reduce noise in the nonlinearity measurement and identify deviations from the expected behavior that merit further study. © SPIE. Downloading of the abstract is permitted for personal use only.
    Note
    Immediate access
    ISSN
    0277-786X
    ISBN
    9781510000000
    DOI
    10.1117/12.2563138
    Version
    Final published version
    ae974a485f413a2113503eed53cd6c53
    10.1117/12.2563138
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    UA Faculty Publications

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