Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 11,
  • Issue 9,
  • pp. 091401-
  • (2013)

High efficiency beam combination of 4.6-\mu m quantum cascade lasers

Not Accessible

Your library or personal account may give you access

Abstract

The quantum cascade laser (QCL), a potential laser source for mid-infrared applications, has all of the advantages of a semiconductor laser, such as small volume and light weight, and is driven by electric power. However, the optical power of a single QCL is limited by serious self-heating effects. Therefore, beam combination technology is essential to achieve higher laser powers. In this letter, we demonstrate a simple beam combination scheme using two QCLs to extend the output peak power of the lasers to 2.3 W. A high beam combination efficiency of 89% and beam quality factor of less than 5 are also achieved.

© 2013 Chinese Optics Letters

PDF Article
More Like This
Beam combining of quantum cascade laser arrays

Benjamin G. Lee, Jan Kansky, Anish K. Goyal, Christian Pflügl, Laurent Diehl, Mikhail A. Belkin, Antonio Sanchez, and Federico Capasso
Opt. Express 17(18) 16216-16224 (2009)

Monolithic beam combined quantum cascade laser arrays with integrated arrayed waveguide gratings

Tushar Sanjay Karnik, Laurent Diehl, Khoi Phuong Dao, Qingyang Du, Christian Pflügl, Daryoosh Vakhshoori, and Juejun Hu
Opt. Express 32(7) 11681-11692 (2024)

Wavelength beam-combining of terahertz quantum-cascade laser arrays

Ji Chen, Yuan Jin, Liang Gao, John L. Reno, and Sushil Kumar
Opt. Lett. 46(8) 1864-1867 (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.