Projects per year
Abstract
We report the characteristics of a 1 Watt hollow-core fiber gas laser, emitting continuous-wave in the mid-infrared. Our system is based on an acetylene-filled hollow-core optical fiber, guiding with low losses at both the pump and laser wavelengths and operating in the single-pass ASE regime. By systematic characterization of the pump absorption and output power dependence on gas pressure, fiber length and pump intensity, we determine that the reduction of pump absorption at high pump flux and the degradation of gain performance at high gas pressure necessitate the use of increased gain fiber length for efficient lasing at higher powers. Low fiber attenuation is therefore key to efficient high-power laser operation. We demonstrate 1.1 Watt output power at 3.1 μm wavelength by using a high-power EDFA pump in a single-pass configuration, approximately 400 times higher CW output power than in the ring cavity previously reported.
Original language | English |
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Pages (from-to) | 4055-4058 |
Journal | Optics Letters |
Volume | 42 |
Issue number | 20 |
Early online date | 4 Oct 2017 |
DOIs | |
Publication status | Published - 15 Oct 2017 |
Fingerprint
Dive into the research topics of 'Mid-infrared 1 Watt hollow-core fiber gas laser source'. Together they form a unique fingerprint.Projects
- 1 Finished
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Hollow Antiresonant Fibres for Visible and Ultraviolet Beam Delivery
Knight, J. (PI), Birks, T. (CoI) & Wadsworth, W. (CoI)
Engineering and Physical Sciences Research Council
1/11/15 → 31/10/18
Project: Research council
Profiles
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Jonathan Knight
- Centre for Photonics and Photonic Materials - Director
- Vice Chancellor's Office - Vice-President (Enterprise)
- Department of Physics - Professor
- Bath Institute for the Augmented Human
- Optical Fibres - Head of Group
Person: Research & Teaching, Core staff, Affiliate staff
Datasets
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Dataset for 'Mid-infrared 1 Watt continuous wave hollow-core fiber gas laser source'
Yu, F. (Creator), Xu, M. (Project Member) & Knight, J. (Project Leader), University of Bath, 2017
DOI: 10.15125/BATH-00392
Dataset