Monte Carlo modeling of HgCdTe avalanche photodiodes

Mike Zhu; Ilya Prigozhin; Pradip Mitra; Chris Schaake; Richard Scritchfield; Enrico Bellotti

doi:10.1117/12.2682181

10 October 2023 Monte Carlo modeling of HgCdTe avalanche photodiodes

Mike Zhu, Ilya Prigozhin, Pradip Mitra, Chris Schaake, Richard Scritchfield, Enrico Bellotti

Proceedings Volume 12687, Infrared Sensors, Devices, and Applications XIII; 126870D (2023) https://doi.org/10.1117/12.2682181
Event: SPIE Optical Engineering + Applications, 2023, San Diego, California, United States

Abstract

Mercury cadmium telluride (HgCdTe or MCT) is the material of choice for infrared avalanche photodetectors (APDs) owing to its desirable qualities including high quantum efficiency and low excess noise factor. Recent advancements in growth techniques have allowed for bandgap engineered MCT films that further enhance the performance of MCT APDs. Monte Carlo has been a widely used method for simulating the multiplication process within avalanche photodiodes (APDs) due to its ability to accurately simulate non-equilibrium transport. In this work, we demonstrate how the gain, excess noise, and bandwidth of bandgap engineered MCT APDs can be accurately modeled in 3-D using Monte Carlo.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mike Zhu, Ilya Prigozhin, Pradip Mitra, Chris Schaake, Richard Scritchfield, and Enrico Bellotti "Monte Carlo modeling of HgCdTe avalanche photodiodes", Proc. SPIE 12687, Infrared Sensors, Devices, and Applications XIII, 126870D (10 October 2023); https://doi.org/10.1117/12.2682181

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