The University of Southampton
University of Southampton Institutional Repository

Thermal approach to classifying sequentially written fiber Bragg gratings

Thermal approach to classifying sequentially written fiber Bragg gratings
Thermal approach to classifying sequentially written fiber Bragg gratings

We demonstrate thermal classification of sequentially written fiber Bragg gratings. This Letter presents a process to determine the type of fiber Bragg grating written in SMF28 and GF4A by introducing the gratings to thermal treatment. This technique can be applied to several approaches based on sequential writing, including the small spot direct ultraviolet writing technique. Four different types of gratings have been identified, which are dependent on the fiber type and fluence used during the writing process.

0146-9592
703-706
Scholl, Senta L.
e532e171-8ea3-4576-8843-17d96a3995d4
Jantzen, Alexander
af05e45f-d153-4b8e-ae8b-6474fba5501a
Bannerman, Rex H.S.
7f7d5c3e-8e5d-45d5-8fd7-8d1511330e08
Gow, Paul C.
193394b1-fe2d-41de-a9aa-6de7e5925b18
Smith, Devin H.
49156a41-41f1-4f1b-8ce3-ef6f894e190c
Gates, James C.
b71e31a1-8caa-477e-8556-b64f6cae0dc2
Boyd, Lewis J.
e3618773-5ac1-4c73-8dbc-4d74837a30da
Smith, Peter G.R.
8979668a-8b7a-4838-9a74-1a7cfc6665f6
Holmes, Christopher
16306bb8-8a46-4fd7-bb19-a146758e5263
Scholl, Senta L.
e532e171-8ea3-4576-8843-17d96a3995d4
Jantzen, Alexander
af05e45f-d153-4b8e-ae8b-6474fba5501a
Bannerman, Rex H.S.
7f7d5c3e-8e5d-45d5-8fd7-8d1511330e08
Gow, Paul C.
193394b1-fe2d-41de-a9aa-6de7e5925b18
Smith, Devin H.
49156a41-41f1-4f1b-8ce3-ef6f894e190c
Gates, James C.
b71e31a1-8caa-477e-8556-b64f6cae0dc2
Boyd, Lewis J.
e3618773-5ac1-4c73-8dbc-4d74837a30da
Smith, Peter G.R.
8979668a-8b7a-4838-9a74-1a7cfc6665f6
Holmes, Christopher
16306bb8-8a46-4fd7-bb19-a146758e5263

Scholl, Senta L., Jantzen, Alexander, Bannerman, Rex H.S., Gow, Paul C., Smith, Devin H., Gates, James C., Boyd, Lewis J., Smith, Peter G.R. and Holmes, Christopher (2019) Thermal approach to classifying sequentially written fiber Bragg gratings. Optics Letters, 44 (3), 703-706. (doi:10.1364/OL.44.000703).

Record type: Article

Abstract

We demonstrate thermal classification of sequentially written fiber Bragg gratings. This Letter presents a process to determine the type of fiber Bragg grating written in SMF28 and GF4A by introducing the gratings to thermal treatment. This technique can be applied to several approaches based on sequential writing, including the small spot direct ultraviolet writing technique. Four different types of gratings have been identified, which are dependent on the fiber type and fluence used during the writing process.

Text
Thermal approach to classifying - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 11 December 2018
e-pub ahead of print date: 12 December 2018
Published date: 31 January 2019

Identifiers

Local EPrints ID: 428183
URI: http://eprints.soton.ac.uk/id/eprint/428183
ISSN: 0146-9592
PURE UUID: 1bef46da-1b8f-490c-a5b4-eb8ee1d14d44
ORCID for Senta L. Scholl: ORCID iD orcid.org/0000-0003-2646-7293
ORCID for Paul C. Gow: ORCID iD orcid.org/0000-0002-3247-9082
ORCID for James C. Gates: ORCID iD orcid.org/0000-0001-8671-5987
ORCID for Peter G.R. Smith: ORCID iD orcid.org/0000-0003-0319-718X
ORCID for Christopher Holmes: ORCID iD orcid.org/0000-0001-9021-3760

Catalogue record

Date deposited: 14 Feb 2019 17:30
Last modified: 18 Mar 2024 03:21

Export record

Altmetrics

Contributors

Author: Senta L. Scholl ORCID iD
Author: Alexander Jantzen
Author: Rex H.S. Bannerman
Author: Paul C. Gow ORCID iD
Author: Devin H. Smith
Author: James C. Gates ORCID iD
Author: Lewis J. Boyd
Author: Peter G.R. Smith ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×