• DocumentCode
    1489210
  • Title

    A simple model for avalanche multiplication including deadspace effects

  • Author

    Plimmer, S.A. ; David, J.P.R. ; Ong, D.S. ; Li, K.F.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Sheffield Univ., UK
  • Volume
    46
  • Issue
    4
  • fYear
    1999
  • fDate
    4/1/1999 12:00:00 AM
  • Firstpage
    769
  • Lastpage
    775
  • Abstract
    A simple Monte Carlo model (SMC) using single effective parabolic valleys and accurately accounting for deadspace effects is presented for calculating the avalanche process. Very good agreement is achieved with a range of measured electron and hole multiplication results from GaAs p +-i-N+´s with i-region thicknesses, ω, from 1 μm down to 0.025 μm and with the excess noise factors down to 0.05 μm. While the results are insensitive to the precise values of input parameter for structures with ω⩾0.2 μm, this is not the case in thinner structures where the deadspace represents a significant fraction of the device. For ω<0.2 μm, the energy dependence of the ionization rate becomes increasingly important. The SMC model is tested against a full-band Monte Carlo model (FBMC) by comparing the mean distance between ionization events and the probability density functions, which are effectively the histograms of distances between ionization events, for equivalent material parameters. The good agreement between these suggests that the SMC, with a relatively small number of fitting parameters and much faster calculation times than the FBMC, is a useful tool for device simulation and interpreting experimental results
  • Keywords
    III-V semiconductors; Monte Carlo methods; avalanche diodes; gallium arsenide; impact ionisation; p-i-n diodes; semiconductor device models; GaAs; GaAs p+-i-n+ diode; avalanche multiplication; deadspace; device simulation; excess noise factor; impact ionization; probability density function; simple Monte Carlo model; Charge carrier processes; Gallium arsenide; Histograms; Ionization; Materials testing; Monte Carlo methods; Noise measurement; Probability density function; Sliding mode control; Thickness measurement;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/16.753712
  • Filename
    753712