Truncated pulse height estimator based on an improved UNet model

序列 Sequence	脉冲 Pulse	是否截断 Truncated or not	脉冲高度Pulse amplitude $A_{r e a l}$	梯形成形值Trapezoidal shaping value $A_{T r a p e}$	相对误差Relative error $δ_{T r a p e}$ / %	模型估计值Model estimate $A_{U N e t}$	相对误差Relative error $δ_{U N e t}$ / %
S1 （ $R_{t}$ =25%）	P1	No	0.96	1.01	4.98	0.93	3.01
	P2	No	0.32	0.30	6.10	0.31	1.08
	P3	Yes	0.59	0.46	21.33	0.57	3.73
	P4	No	0.43	0.45	3.72	0.40	5.88
S2 （ $R_{t}$ =50%）	P5	No	0.71	0.73	2.38	0.71	0.38
	P6	Yes	0.50	0.49	1.82	0.52	3.67
	P7	Yes	0.46	0.47	1.88	0.44	3.27
	P8	No	0.73	0.76	4.21	0.71	3.15
S3 （ $R_{t}$ =50%）	P9	Yes	0.66	0.67	1.73	0.66	0.76
	P10	No	0.40	0.41	4.45	0.40	1.01
	P11	Yes	0.71	0.75	5.30	0.69	2.34
	P12	No	0.52	0.54	4.36	0.51	1.16
S4 （ $R_{t}$ =25%）	P13	No	0.71	0.72	1.95	0.72	1.27
	P14	Yes	0.51	0.52	1.54	0.52	1.97
	P15	No	0.60	0.61	2.13	0.62	3.35
	P16	No	0.79	0.82	4.25	0.80	1.39
S5 （ $R_{t}$ =50%）	P17	No	0.46	0.45	2.63	0.45	2.18
	P18	Yes	0.72	0.75	4.42	0.70	2.09
	P19	Yes	0.94	0.95	0.31	0.93	1.38
	P20	No	0.46	0.44	4.94	0.48	3.12

Table 2. Comparison of the pulse height estimation effects of neural network models on different samples

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Table 2. Comparison of the pulse height estimation effects of neural network models on different samples

序号Number	样品类型Sample type	截断率Truncation rate / %	平均相对误差Average relative error / %
1	粉末铁矿样品Powder iron ore sample	25	2.21
2		50	2.46
3		75	2.42
4		100	2.75
5	粉末岩石样品Powder rock sample	25	1.19
6		50	2.41
7		75	2.15
8		100	3.28

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Lin TANG, Shuang ZHOU, Xianli LIAO, Ze LIU, Bo LI. Truncated pulse height estimator based on an improved UNet model[J]. NUCLEAR TECHNIQUES, 2023, 46(11): 110505

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Paper Information

Category: Research Articles

Received: May. 31, 2023

Accepted: --

Published Online: Dec. 23, 2023

The Author Email:

DOI:10.11889/j.0253-3219.2023.hjs.46.110505

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology