Taylor-Mew, Jonathan ORCID: 0000-0002-0895-2968 (2022) Characterisation and Simulation of Linear and Geiger Mode Avalanche Photodiodes. PhD thesis, University of Sheffield.
Abstract
Al0.85Ga0.15As0.56Sb0.44 is a wide bandgap material latticed matched to InP. Narrow devices from the literature show a very low excess noise factor, suggesting a wide disparity between the impact ionisation coefficients. In this work, a 600 nm pin is experimentally characterised for electron-initiated avalanche multiplication and excess noise factor. Using these results and those from the literature, a Simple Monte Carlo parameter set was validated, and the impact ionisation coefficients were extracted for an electric field range of 400 – 1200 kV.cm-1. A Random Path Length model is a simplistic Monte Carlo model with a short simulation runtime compared to the more complex Simple Monte Carlo Model. The RPL has previously been used to model breakdown probability but could not accurately model the time to breakdown due to the limitations imposed by the saturation velocity assumption. In this work, an enhanced velocity for Si, InP and Al0.85Ga0.15As0.56Sb0.44 was proposed. The enhanced velocity of these materials was validated against the Simple Monte Carlo model with good agreement over a wide range of simulated devices. Finally, a Simple Monte Carlo model parameter set was validated for In0.53Ga0.47As, and the impact ionisation coefficients were extracted over an electric field range of 80 – 340 kV.cm-1. In0.53Ga0.47As is a common absorption material for III-V based SAM APDs. In0.53Ga0.47As has previously been characterised to have an abnormally low electric field election initiated avalanche multiplication due to the large energy offset between EΓ and the indirect energy valleys. Careful attention was made to ensure the avalanche multiplication simulations followed both the low and high electric field trends.
Metadata
Supervisors: | Ng, Jo Shien |
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Keywords: | AlGaAsSb, Impact Ionisation, Excess Noise Factor, Simple Monte Carlo Model |
Awarding institution: | University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Mr Jonathan Taylor-Mew |
Date Deposited: | 19 Jun 2023 11:19 |
Last Modified: | 19 Jun 2023 11:19 |
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