• DocumentCode
    1462046
  • Title

    Lucky-drift model for nonlocal impact ionisation

  • Author

    Jacob, B. ; Plimmer, S.A. ; Robson, P.N. ; Rees, G.J.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Sheffield Univ., UK
  • Volume
    148
  • Issue
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    81
  • Lastpage
    83
  • Abstract
    The probability-distribution function (PDF) for impact-ionisation path length is a crucial quantity for understanding and modelling the low-noise behaviour of avalanche photodiodes with short multiplication regions. In these devices the high electric fields needed to produce avalanche narrow the PDF reducing the randomness in ionisation position and hence the noise in the multiplication. A simple method is presented for calculating PDFs using the `lucky-drift´ model. The results are compared with those predicted by corresponding Monte Carlo calculations employing a parabolic energy band deformation-potential optical-phonon scattering and hard-threshold impact ionisation. The overall behaviour expected for the PDF is reproduced by the simple model. However the unphysical, catastrophic assumption made for energy-relaxing collisions in lucky drift results in an unphysical delta function in the PDF which significant weight at high electric fields
  • Keywords
    Monte Carlo methods; avalanche photodiodes; impact ionisation; optical noise; photodetectors; probability; Monte Carlo calculations; avalanche photodiodes; energy-relaxing collisions; hard-threshold impact ionisation; high electric fields; impact-ionisation path length; ionisation position; low-noise behaviour; lucky drift results; lucky-drift model; multiplication; noise; nonlocal impact ionisation; parabolic energy band deformation-potential optical-phonon scattering; probability-distribution function; short multiplication regions; unphysical catastrophic assumption; unphysical delta function;
  • fLanguage
    English
  • Journal_Title
    Optoelectronics, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2433
  • Type

    jour

  • DOI
    10.1049/ip-opt:20010089
  • Filename
    914429