Design and Analysis of Low Bias, Low Phase Noise Photodetectors for Frequency Comb Applications Using Particle Swarm Optimization
Files
Links to Files
Date
Type of Work
Department
Program
Citation of Original Publication
Anjum, Ishraq Md, Ergun Simsek, Seyed Ehsan Jamali Mahabadi, Thomas F. Carruthers, and Curtis R. Menyuk. "Design and Analysis of Low Bias, Low Phase Noise Photodetectors for Frequency Comb Applications Using Particle Swarm Optimization." In 2022 IEEE International Topical Meeting on Microwave Photonics (MWP), 1-4, 2022. https://doi.org/10.1109/MWP54208.2022.9997757.
Rights
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Abstract
We use particle swarm optimization to optimize the design of a low-bias (5 V) modified uni-traveling carrier photodetector for low-phase-noise frequency comb applications. We analyze the best design generated by the algorithm to determine the physics that leads to a phase noise reduction. We find that the phase noise can be reduced by increasing the electric field in the photon absorption region and by adjusting the doping levels and thicknesses of the layers in the intrinsic region to optimize the electric field.