Luo Wang, Chuanfei Yao, Pingxue Li, Xi Zhang, Yongjing Wu, Xuan Wang, Linjing Yang. Algorithm Optimization for Fast Simulation of 3.5 μm Dual-Wavelength Pumped Er∶ZBLAN Fiber Laser[J]. Chinese Journal of Lasers, 2021, 48(11): 1101004
- Chinese Journal of Lasers
- Vol. 48, Issue 11, 1101004 (2021)
Fig. 1. Energy-level diagram of 3.5-μm-DWP-Er∶ZBLAN fiber laser
Fig. 2. Numerical algorithm model
Fig. 3. Evolution of particle number density at z=0 (Pp1=4.47 W, Pp2=5 W)
Fig. 4. Algorithm flowchart. (a)Relaxation method; (b)shooting method
Fig. 5. Power distribution in the laser cavity at Pp1=4.46 W, Pp2=5 W
Fig. 6. Relationship between Ps2 and Pp2. (a) Maes et al experimental and simulated results; (b) simulatied results of the proposed algorithm
Fig. 7. Relationship between number of cycles and power guess value of 3.44 μm signal light at three pump schemes(δ=10-5). (a) Pp1=4.17 W, Pp2=4 W; (b) Pp1=4.46 W, Pp2=5 W; (c) Pp1=4.74 W, Pp2=6 W
Fig. 8. Relationship between absolute error and number of cycles at three pump schemes(δ=10-8). (a) Pp1=4.17 W, Pp2=4 W; (b) Pp1=4.46 W, Pp2=5 W; (c) Pp1=4.74 W, Pp2=6 W
Fig. 9. Relationship between computation time and number of cycles at three pump schemes. (a) Pp1=4.17 W, Pp2=4 W; (b) Pp1=4.46 W, Pp2=5 W; (c) Pp1=4.74 W, Pp2=6 W
Fig. 10. Relationship between total computation time and convergence accuracy at three pump schemes. (a)Pp1=4.17 W, Pp2=4 W; (b)Pp1=4.46 W, Pp2=5 W; (c)Pp1=4.74 W, Pp2=6 W
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Table 1. lifetime of each energy-level and branching ratios[32]
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