Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • CLEO/Europe and EQEC 2011 Conference Digest
  • OSA Technical Digest (CD) (Optica Publishing Group, 2011),
  • paper CJ_P8

High power all-in-fibre continuous wave Raman laser based on phosphosilicate fibre

Not Accessible

Your library or personal account may give you access

Abstract

Many experiments are presented in the literature on Raman fibre lasers based on germanosilicate fibres, with power ratings up to 150 W [1-2]. Compared to germanosilicate fibres, phosphosilicate fibres have larger Stokes shift (~1330 cm−1) thereby limiting the number of necessary cascades to reach the desired wavelength and also increasing the conversion efficiency [3-5]. To our knowledge, the maximum power ever reported in literature concerning Raman fibre lasers with phosphosilicate fibre is 13.2 W with an efficiency of 32.5% in 2004 [4]. In this paper, we present an all-in-fibre Raman laser delivering 20.6 W at 1270 nm with an efficiency of 70%. This laser could be applied to medical applications like photodynamic therapy of cancers [5].

© 2011 Optical Society of America

PDF Article
More Like This
High Power, Low Threshold, Raman DFB Fibre Lasers

Jindan Shi, Shaif-ul Alam, and Morten Ibsen
C1174 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2011

High power cascaded phosphosilicate fiber Raman laser with 3.6W output power at 1484nm

Chaohong Huang, Jiali lin, Xiongyong Liao, Xuiying Xu, and Zhiping Cai
TUP4_28 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2009

Novel High Power 1.24 μm And 1.48 μm Raman Lasers Based On Phosphosilicate Fiber

E.M. Dianov, M.V. Grekov, I.A. Bufetov, S.A. Vasiliev, O.I. Medvedkov, G.A. Ivanov, A.V. Belov, V.G. Plotnichenko, V.V. Koltashev, and A.M. Prokhorov
BMC.2 Bragg Gratings, Photosensitivity, and Poling in Glass Fibers and Waveguides (BGPP) 1997

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.