Hostname: page-component-84b7d79bbc-5lx2p Total loading time: 0 Render date: 2024-07-26T19:00:28.701Z Has data issue: false hasContentIssue false
  • English
  • Français

Fiber Bragg Grating Growth Simulation Using an Inverse Scattering Matrix Approach

Published online by Cambridge University Press:  15 February 2011

A. Manca  and
A. Anedda
A. Manca
Affiliation:
INFM — Physics Department, University of Cagliari, Italy, alessio.manca@dsf.unica.it
A. Anedda
Affiliation:
INFM — Physics Department, University of Cagliari, Italy, alberto.anedda@dsf.unica.it
Get access

Abstract

Fiber Bragg gratings are playing an important role in the field of optical telecommunications and sensors. We have simulated the growth of gratings, longitudinally written in the core of germanosilicate optical fibers by an Ar+ laser. Following a Kramer-Kronig model, absorption in the Germanium Oxygen deficient centers band (∼240 nm) is considered to be responsible for the fiber photosensitivity and a two photon absorption process models the dynamics of the refractive index variation.

The spatial propagation of light along the grating is described by the coupled wave theory and is calculated by using an inverse scattering matrix technique. The predicted physical properties of the gratings, reflectivity and temporal dispersion of propagating light as a function of wavelength and input power, show that a sustained growth is possible. A good agreement with previous simulations and experiments is found.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 579: Symposium B – The Optical Properties of Materials , 1999 , 275
Copyright
Copyright © Materials Research Society 2000

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1] Hill, K.O., Fujii, Y., Johnson, D.C., Kawasaki, B.S., Appl.Phys.Lett. 32(10), 647–649 (1978).Google Scholar
[2] Othonos, A., Rev.Sci.Instrum. 68(12), 4309–4341 (1997).Google Scholar
[3] Poumellec, B., Kherbouche, F., J.Phys.III France 6 1996, 1595–1624.Google Scholar
[4] Meltz, G., Morey, W.W., Glenn, W.H., Opt.Lett. 14(15), 823–825 (1989).Google Scholar
[5] Leconte, B., Xie, W., Douay, M, Bemage, P., Niay, P., Bayon, J.F., Delevaque, E., Poignant, H., Appl.Opt. 36(24), 5923–5930 (1997).Google Scholar
[6] Bures, J., Lapierre, J., Pascale, D., Appl.Phys.Lett. 37(10), 860–862 (1980).Google Scholar
[7] Yamada, M., Sakuda, K., Appl.Opt. 26(16), 3474–3478 (1987).Google Scholar
[8] Kashyap, R., Opt.Comm. 136, 461–469 (1997).Google Scholar
[9] Lam, D.K.W., Garside, B.K., Appl.Opt. 20(3), 440–445 (1981).Google Scholar
[10] Mizrahi, V., LaRochelle, S., Stegeman, G.I., Sipe, J.E., Phys.Rev. A 43(1), 433–438 (1991).Google Scholar
[11] Yariv, A., Quantum Electronics, 3rd ed. (John Wiley & Sons, 1989), pp.600–649.Google Scholar
[12] Huang, S., Leblanc, M., Ohn, M.M., Measures, R.M., Appl.Opt. 34(22), 5003–5009 (1995)Google Scholar
[13] Numerical recipes in C: the art of scientific computing (Cambridge University Press, 1988–1992), pp.753–786.Google Scholar
[14] Guo, B., Anderson, D.Z., Appl.Phys.Lett. 60(6), 671–673 (1992).Google Scholar