Simple and efficient method of lines based algorithm for modelling of erbium doped Q-switched fluoride fiber lasers

Sujecki, Slawomir

Abstract

An improved algorithm based on the method of lines for modelling of Q-switched fluoride glass based erbium doped fiber lasers is presented. The algorithm uses finite difference method to reduce partial differential equations to a set of ordinary differential equations. Unlike the method of characteristics the ratio of the temporal and spatial step is not fixed. Thus computationally efficient algorithms with an adaptive step control for the solution of a set of ordinary differential equations can be directly applied. The performance of the improved algorithm against the standard one is compared. The results obtained show that the improved algorithm is significantly more computationally efficient.

Citation

Sujecki, S. (2016). Simple and efficient method of lines based algorithm for modelling of erbium doped Q-switched fluoride fiber lasers. Journal of the Optical Society of America B, 33(11), 2288-2295. https://doi.org/10.1364/JOSAB.33.002288

• Journal Article Type: Article
• Acceptance Date: Sep 19, 2016
• Online Publication Date: Oct 12, 2016
• Publication Date: Nov 1, 2016
• Deposit Date: Nov 23, 2016
• Publicly Available Date: Nov 23, 2016
• Journal: Journal of the Optical Society of America B
• Print ISSN: 0740-3224
• Electronic ISSN: 1520-8540
• Publisher: Optical Society of America
• Peer Reviewed: Peer Reviewed
• Volume: 33
• Issue: 11
• Pages: 2288-2295
• DOI: https://doi.org/10.1364/JOSAB.33.002288
• Public URL: https://nottingham-repository.worktribe.com/output/974481
• Publisher URL: https://www.osapublishing.org/josab/abstract.cfm?uri=josab-33-11-2288
• Additional Information: © 2016 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited.
• Contract Date: Nov 23, 2016