Research of Peak-Detection Algorithm Based on Absolute Wavelength Calibration of Excimer Laser

Fig. 4. Influence of power threshold upon error of different algorithms. (a) Centroid detection algorithm; (b) polynomial fitting; (c) Gaussian-polynomial fitting; (d) Gaussian fitting; (e) Gaussian nonlinear curve fitting

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Fig. 5. Relationship of signal to noise ratio and error in Gaussian nonlinear curve fitting peak-detection algorithm

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Table 1. Simulations and experimental errors of each peak-detection algorithmpm
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Table 1. Simulations and experimental errors of each peak-detection algorithmpm
Item Centroiddetection Polynomialfitting Gaussian-polynomial fitting Gaussianfitting Gaussiannonlinear-fitting
Simulation error 0.65 0.30 0.08 0.14 0.05
Experimental error 0.70 0.40 0.24 0.30 0.15

Table 2. Minimum error and optimum intensity threshold of each peak-detection algorithm
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Table 2. Minimum error and optimum intensity threshold of each peak-detection algorithm
Item Centroiddetection Polynomialfitting Gaussian-polynomial fitting Gaussianfitting Gaussiannonlinear-fitting
Power threshold /avg 3 1 0.8 0.2 0.2
Minimum error /pm 0.2 0.1 0.08 0.13 0.04

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Jingchao Yuan, Jiangshan Zhao, Hui Li, Guangyi Liu. Research of Peak-Detection Algorithm Based on Absolute Wavelength Calibration of Excimer Laser[J]. Chinese Journal of Lasers, 2018, 45(7): 0701003

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