• DocumentCode
    1306454
  • Title

    Design of resonant-cavity-enhanced photodetectors using genetic algorithms

  • Author

    Jervase, Joseph A. ; Bourdoucen, Hadj

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Sultan Qaboos Univ., Muscat, Oman
  • Volume
    36
  • Issue
    3
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    325
  • Lastpage
    332
  • Abstract
    Expressions of quantum efficiency of resonant-cavity-enhanced (RCE) PIN photodetectors reported in the literature are based on the assumption of constant reflectivities of the quarter-wave stacks (QWS) at the ends of the cavity. The quantum efficiency is formulated in a closed analytical form that includes the structural parameters of the photodetector and takes into account the wavelength dependence of the reflectivities and the active region absorption coefficient. The variation of the QWS reflectivity and, in particular, its phase constant with wavelength has a significant influence on the resulting quantum efficiency spectra, as demonstrated in this paper. The results are in very good agreement with recently published experimental data which show a dominant peak at the operating wavelength. This behavior has not been predicted by previous simulation results. Since the quantum efficiency spectra are not periodic, the use of the finesse, defined as the ratio of the free spectral range to the full width at half maximum, as a measure of wavelength selectivity is not valid. The conventional quality factor definition used for filter design is thus adopted as a measure of selectivity. A genetic algorithm-based optimization and design procedure for RCE photodetectors have also been developed with the quantum efficiency, quality factor, and frequency bandwidth as input design parameters.
  • Keywords
    absorption coefficients; genetic algorithms; optical resonators; p-i-n photodiodes; photodetectors; reflectivity; QWS reflectivity; active region absorption coefficient; constant reflectivities; dominant peak; filter design; free spectral range; frequency bandwidth; genetic algorithm-based optimization; genetic algorithms; input design parameters; operating wavelength; phase constant; quality factor definition; quantum efficiency; quantum efficiency spectra; quarter-wave stacks; resonant-cavity-enhanced PIN photodetectors; resonant-cavity-enhanced photodetector design; simulation results; wavelength dependence; Absorption; Algorithm design and analysis; Genetics; Photodetectors; Predictive models; Q factor; Reflectivity; Resonance; Structural engineering; Wavelength measurement;
  • fLanguage
    English
  • Journal_Title
    Quantum Electronics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9197
  • Type

    jour

  • DOI
    10.1109/3.825879
  • Filename
    825879