Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 9,
  • Issue 11,
  • pp. 111301-
  • (2011)

Influence of GaAs substrate on the transmission performance of epitaxially grown Fabry-Peerot f ilter

Not Accessible

Your library or personal account may give you access

Abstract

The influence of GaAs substrate on the transmission performance of a multi-film Fabry-Peerot filter (FPF), fabricated by metalorganic chemical vapor deposition epitaxial growth on GaAs substrate, is investigated using the transfer matrix method. On the basis of the theoretical simulation, we determine that the quality of the resonant transmission peak of this epitaxially grown FPF (EG-FPF) deteriorates through splitting when the substrate is taken into account. Rapid periodic oscillation of peak-transmittivity along with the alteration of substrate thickness is also observed in the simulation results. Finally, a remarkably improved transmission performance of the EG-FPF is obtained by thinning the substrate down to a suitable thickness range through well-controlled grinding and polishing.

© 2011 Chinese Optics Letters

PDF Article
More Like This
InAs/GaAs quantum dot narrow ridge lasers epitaxially grown on SOI substrates for silicon photonic integration

Wen-Qi Wei, Qi Feng, Jing-Jing Guo, Ming-Chen Guo, Jian-Huan Wang, Zi-Hao Wang, Ting Wang, and Jian-Jun Zhang
Opt. Express 28(18) 26555-26563 (2020)

InAs/GaAs quantum dot laser epitaxially grown on on-axis (001) GaAsOI substrate

Hao Liang, Tingting Jin, Chaodan Chi, Jialiang Sun, Xiaolei Zhang, Tiangui You, Min Zhou, Jiajie Lin, and Shumin Wang
Opt. Express 29(23) 38465-38476 (2021)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.