Citation: | He Yongcheng, Zhang Yuliang, Wang Lin, et al. Prototype of an early warning system based on deep learning for the CSNS accelerator[J]. High Power Laser and Particle Beams, 2021, 33: 044008. doi: 10.11884/HPLPB202133.200340 |
[1] |
Wei Jie, Chen Hesheng, Chen Yanwei, et al. China Spallation Neutron Source: design, R& D, and outlook[J]. Nuclear Instruments & Methods in Physics Research Section A—Accelerators Spectrometers Detectors and Associated Equipment, 2009, 600(1): 10-13.
|
[2] |
Wei Jie, Fu Shinian, Tang Jingyu, et al. China Spallation Neutron Source—An overview of application prospects[J]. Chinese Physics C, 2009, 33(11): 1033-1042. doi: 10.1088/1674-1137/33/11/021
|
[3] |
Wang Sheng, Fang Shouxian, Fu Shinian, et al. Introduction to the overall physics design of CSNS accelerators[J]. Chinese Physics C, 2009, 33(S2): 1-3. doi: 10.1088/1674-1137/33/S2/001
|
[4] |
Fu S N, Chen H S, Chen Y W, et al. Status of CSNS project[C]//Proceedings of IPAC. 2013: 3995–3999.
|
[5] |
Chen H, Wang X L. China's first pulsed neutron source[J]. Nature Materials, 2016, 15(7): 689-691. doi: 10.1038/nmat4655
|
[6] |
Liu Huachang, Peng Jun, Gong Keyun, et al. The design and construction of CSNS drift tube linac[J]. Nuclear Inst and Methods in Physics Research A, 2018, 911: 131-137. doi: 10.1016/j.nima.2018.10.034
|
[7] |
LeCun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 2015, 521(7553): 436-444. doi: 10.1038/nature14539
|
[8] |
Lecun Y, Kavukcuoglu K, Farabet C. Convolutional networks and applications in vision[C]//International Symposium on Circuits and Systems Nano-Bio Circuit Fabrics and Systems (ISCAS 2010). 2010.
|
[9] |
Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 2017, 60(6): 84-90. doi: 10.1145/3065386
|
[10] |
Lecun Y, Bottou L, Bengio Y. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324. doi: 10.1109/5.726791
|
[11] |
Zhang Yuliang, Jin Dapeng, Zhu Peng, et al. The accelerator control system of CSNS[J]. Radiation Detection Technology and Methods, 2020, 4: 1-14. doi: 10.1007/s41605-019-0147-6
|
[12] |
Zhang Yuliang, Kang Mingtao, Jin Dapeng, et al. The run management system for CSNS[J]. Radiation Detection Technology and Methods, 2019, 3(3): 35-37. doi: 10.1007/s41605-019-0116-0
|
[13] |
康明涛, 黄涛, 张玉亮, 等. CSNS加速器真空控制系统的设计与实现[J]. 强激光与粒子束, 2020, 32:084001. (Kang Mingtao, Huang Tao, Zhang Yuliang, et al. Design and implementation of vacuum control system of China Spallation Neutron Source[J]. High Power Laser and Particle Beams, 2020, 32: 084001
|
[14] |
何泳成, 李刚, 金大鹏, 等. CSNS漂移管直线加速器水冷联锁系统设计[J]. 核电子学与探测技术, 2017, 37(6):585-589. (He Yongcheng, Li Gang, Jin Dapeng, et al. The design of csns drift tube linac water cooling interlock system[J]. Nuclear Electronics & Detection Technology, 2017, 37(6): 585-589 doi: 10.3969/j.issn.0258-0934.2017.06.006
|
[15] |
赵籍九, 尹兆升. 粒子加速器技术[M]. 北京: 高等教育出版社, 2006.
Zhao Jijiu, Yin Zhaosheng. Particle accelerator technology[M]. Beijing: Higher Education Press, 2006
|
[16] |
Szegedy C, Liu W, Jia Y, et al. Going deeper with convolutions[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2015: 1-9.
|
[17] |
He K, Zhang X, Ren S, et al. Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016: 770-778.
|
[18] |
Goodfellow I J, Pouget-Abadie J, Mirza M, et al. Generative adversarial nets[C]//28th Conference on Neural Information Processing Systems (NIPS). 2014.
|
[19] |
Sainath T N, Kingsbury B, Saon G, et al. Deep convolutional neural networks for large-scale speech tasks[J]. Neural Networks, 2015, SI(64): 39-48.
|
[20] |
Sanner M F. Python: A programming language for software integration and development[J]. Journal of Molecular Graphics & Modelling, 1999, 17(1): 57-61.
|
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