Spectroscopy and Spectral Analysis, Volume. 45, Issue 6, 1657(2025)
A Method for Predicting the Emission Spectrum of High-Power X-Ray Tubes Based on Neural Network Models
References(6)
[1] [1] Takagi H, Murata I. Journal of Radiation Protection and Research, 2016, 41(2): 93.
[3] [3] Waggener R G, Blough M M, Terry J A, et al. Med. Phys., 1999, 26(7): 1269.
[4] [4] Lei L, Wang L Y, Yan B, et al. Model-Based X Ray Energy Spectrum Estimation Algorithm From CT Scanning Data With Spectrum Filter. Conference on Optical Measurement Technology and Instrumentation, Proceedings of SPIE, 2016, 10155: 974.
[5] [5] Leinweber C, Maier J, Kachelrie M, et al. Med. Phys., 2017, 44(12): 6183.
[6] [6] Sidky E Y, Yu L, Pan X, et al. Journal of Applied Physics, 2005, 97(12): 124701.
[9] [9] Miceli A, Thierry R, Bettuzzi M, et al. Nuclear Instruments and Methodsin Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2007, 580(1): 123.
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WU Yun-long, XING Li-teng, SUN Ai-yun, CHENG Can, YIN Li-lei, JIA Wen-bao. A Method for Predicting the Emission Spectrum of High-Power X-Ray Tubes Based on Neural Network Models[J]. Spectroscopy and Spectral Analysis, 2025, 45(6): 1657
Paper Information
Received: Oct. 18, 2024
Accepted: Jun. 27, 2025
Published Online: Jun. 27, 2025
The Author Email: JIA Wen-bao (jiawb@nuaa.edu.cn)
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