Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Spectroscopy and Laser Properties of Nd3+-Doped CaF2, SrF2, and BaF2

Not Accessible

Your library or personal account may give you access

Abstract

The optical properties of Nd3+ in CaF2, SrF2, and BaF2 have been investigated in order to determine if these materials are useful as laser-pumped amplifier media. The CaF2:Nd crystal was found to not be useful because the impurities tend to cluster at very low concentration, leading to the formation of nonluminescent centers. On the other hand, the Nd3+ centers in BaF2 exhibit unacceptably low transition strengths. SrF2:Nd appears to have adequate absorption strength, and, in addition, to have a remarkably long emission lifetime of 1280 μs. A maximum doping of 0.20 atomic % Nd3+ can be tolerated in SrF2 without the occurrence of detrimental clustering. The peak emission cross section of SrF2:Nd is 1.7 × 10−20 cm2 at 1036.5 nm. Direct measurement of the gain spectrum of SrF2:Nd3+ reveals the presence of the 4F3/22G9/2 excited state absorption lines, although the impact on the emission cross section is minor.

© 1990 Optical Society of America

PDF Article
More Like This
Spectroscopic and laser properties of Yb3+ doped CaF2, SrF2 and BaF2 laser crystals

J.L. Doualan, P. Camy, A. Benayad, M. von Edlinger, V. Ménard, and R. Moncorgé
WE11 Advanced Solid-State Photonics (ASSL) 2008

Spectroscopic and Oscillation Properties of Yb3+ ions in BaF2-SrF2-CaF2 Crystals and Ceramics.

O.K. Alimov, T.T. Basiev, M.E. Doroshenko, P.P. Fedorov, V.A. Konyushkin, S.V. Kouznetsov, A.N. Nakladov, V.V. Osiko, H. Jelinkova, and J. Sulc.
WB25 Advanced Solid-State Photonics (ASSL) 2009

Tunability of Lasers Based on Yb3+-doped Fluorides SrF2, SrF2-CaF2, SrF2-BaF2, and YLF

J. Šulc, H. Jelínková, M. E. Doroshenko, T. T. Basiev, V. A. Konyushkin, and P. P. Fedorov
WB16 Advanced Solid-State Photonics (ASSL) 2009

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.