Literature DB >> 23669949

Brillouin spectroscopy of a novel baria-doped silica glass optical fiber.

P Dragic1, C Kucera, J Furtick, J Guerrier, T Hawkins, J Ballato.   

Abstract

Presented here for the first time to the best of our knowledge is a detailed Brillouin spectroscopic study of novel, highly-BaO-doped silica glass optical fibers. The fibers were fabricated utilizing a molten-core method and exhibited baria (BaO) concentrations up to 18.4 mole %. Physical characteristics such as mass density, acoustic velocity, visco-elastic damping, and refractive index are determined for the baria component of the bariosilicate system. It is found that, of each of these parameters, only the acoustic velocity is less than that of pure silica. The effect of temperature and strain on the acoustic velocity also is determined by utilizing estimates of the strain- and thermo-optic coefficients. The dependencies are found to have signs opposite to those of silica, thus suggesting both Brillouin-frequency a-thermal and a-tensic binary compositions. Via the estimate of the strain-optic coefficient and data found in the literature, the Pockels' photoelastic constant p(12) is estimated, and both a calculation and measured estimate of the Brillouin gain versus baria content are presented. Such novel fibers incorporating the unique properties of baria could be of great utility for narrow linewidth fiber lasers, high power passive components (such as couplers and combiners), and Brillouin-based sensor systems.

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Year:  2013        PMID: 23669949     DOI: 10.1364/OE.21.010924

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Analysis of SiO2 nanoparticles binding proteins in rat blood and brain homogenate.

Authors:  Kyu Hwan Shim; John Hulme; Eun Ho Maeng; Meyoung-Kon Kim; Seong Soo A An
Journal:  Int J Nanomedicine       Date:  2014-12-15

2.  Materials Development for Next Generation Optical Fiber.

Authors:  John Ballato; Peter Dragic
Journal:  Materials (Basel)       Date:  2014-06-11       Impact factor: 3.623

3.  Improving Prediction Accuracy and Extraction Precision of Frequency Shift from Low-SNR Brillouin Gain Spectra in Distributed Structural Health Monitoring.

Authors:  Nur Dalilla Nordin; Fairuz Abdullah; Mohd Saiful Dzulkefly Zan; Ahmad Ashrif A Bakar; Anton I Krivosheev; Fedor L Barkov; Yuri A Konstantinov
Journal:  Sensors (Basel)       Date:  2022-03-31       Impact factor: 3.576

  3 in total

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