• DocumentCode
    7737
  • Title

    Modeling Approach for the Prediction of Transient and Permanent Degradations of Image Sensors in Complex Radiation Environments

  • Author

    Raine, M. ; Goiffon, Vincent ; Girard, S. ; Rousseau, Alain ; Gaillardin, M. ; Paillet, P. ; Duhamel, O. ; Virmontois, Cedric

  • Author_Institution
    DAM, CEA, Arpajon, France
  • Volume
    60
  • Issue
    6
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    4297
  • Lastpage
    4304
  • Abstract
    A modeling approach is proposed to predict the transient and permanent degradation of image sensors in complex radiation environments. The example of the OMEGA facility is used throughout the paper. A first Geant4 simulation allows the modeling of the radiation environment (particles, energies, timing) at various locations in the facility. The image sensor degradation is then calculated for this particular environment. The permanent degradation, i.e. dark current increase, is first calculated using an analytical model from the literature. Additional experimental validations of this model are also presented. The transient degradation, i.e. distribution of perturbed pixels, is finally simulated with Geant4 and validated in comparison with experimental data.
  • Keywords
    CMOS image sensors; radiation effects; transient analysis; CMOS image sensor; Geant4 simulation; OMEGA facility; analytical model; complex radiation environments; dark current; image sensor permanent degradation; transient prediction; Active pixel sensors; CMOS image sensors; Dark current; Degradation; Neutrons; Radiation effects; Single event transients; Transient analysis; Active pixel sensor (APS); CMOS image sensor (CIS); Geant4; dark current distribution; displacement damage dose (DDD); inertial confinement fusion (ICF); neutrons; single-event transient (SET);
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2013.2284798
  • Filename
    6678319