Chu Zhongming, Xiao Dengjie, Qiao Yusi, Wan Jinyu. Machine Learning Applications for Particle Accelerators[J]. Frontiers of Data and Computing, 2019, 1(2): 110-120.
680 bunch, high brightness mode 63 bunch, timing mode
"
ParameterList
Logbook and ssue Tracking
Cable
Naming Convention
Maintenance/Operǝtion
Security
Magnet
Inventory
Alarm
Accelerator Model/Lattice
Survey and Alignment
Machine Protection/Interlock
Equipment and Configuration
Work Flow Control/Traveler
MPS Postmortem
Physics Data Machine State
Document DB
Fig.1
HEPS accelerator control system architecture"
Fig.1
Fig.2
CMLog stored message display (from SLAC National Accelerator Laboratory) "
Fig.2
Fig.3
HEPS control system architecture"
Fig.3
Fig.4
HEPS beamline control system architecture"
Fig.4
Fig.5
Maximum correlation function R"
Fig.5
Fig.6
Signals for an upstream dipole corrector (C16Vai) and a downstream BPM (TCBPM1X) were plotted against their timestamps. The left plot is the data directly from history archiver with the timestamps directly read from the control system, and the right plot is after a 13s relative time shift obtained from ML"
Fig.6
Fig.7
Mean relative error of predicted lattice simulation results for BN and DA optimization"
Fig.7
Fig.8
The optimized results in the 100th generation of MOGA plotted in the objective space. The red squares are the results obtained from standard MOGA and the blue squares are obtained from the artificial neural network accelerated MOGA"
Fig.8
"
Single thread (s)
62-thread parallel computing (s)
DNN
0.3944
0.0092
Particle Tracking
78020
1414.2
Improvement
O(5)
O(5)
Fig.9
Comparison of the results predicted by the neural networks and evaluated by the particle tracking method"
P. Chu, “High Energy Photon Source (HEPS) Controls Status Report”, 2019 Spring EPICS Meeting, ITER, France.
[5]
Integrated Relational Model of Installed Systems http://irmis.sourceforge.net.
[6]
K. Rathsman, et al., “ESS Parameter List Database and Web Interface Tools”, Proceedings of 2011 International Particle Accelerator Conference, pp. 1762-4.
[7]
Experimental Physics and Industrial Control System, https://epics-controls.org/.
[8]
J. Galambos, et al, “XAL Application Programming Structure”, Proceedings of 2005 Particle Accelerator Conference, pp. 79-81.
[9]
https://scikit-learn.org/stable/index.html#.
[10]
https://www.tensorflow.org/.
[11]
J. H. Holland . Genetic algorithms and the optimal allocation of trials, SIAM Journal on Computing, 1973,2(2):88-105.