JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@inproceedings{li:icalepcs2023-tumbcmo13,
author = {F.N. Li and K.C. Chen and Z. Guo and Q.Y. He and C. Lin and Q. Wang and Y. Xia and M.X. Zang},
% author = {F.N. Li and K.C. Chen and Z. Guo and Q.Y. He and C. Lin and Q. Wang and others},
% author = {F.N. Li and others},
title = {{Applications of Artificial Intelligence in Laser Accelerator Control System}},
% booktitle = {Proc. ICALEPCS'23},
booktitle = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)},
eventdate = {2023-10-09/2023-10-13},
pages = {372--378},
paper = {TUMBCMO13},
language = {english},
keywords = {laser, target, controls, simulation, experiment},
venue = {Cape Town, South Africa},
series = {International Conference on Accelerator and Large Experimental Physics Control Systems},
number = {19},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {02},
year = {2024},
issn = {2226-0358},
isbn = {978-3-95450-238-7},
doi = {10.18429/JACoW-ICALEPCS2023-TUMBCMO13},
url = {https://jacow.org/icalepcs2023/papers/tumbcmo13.pdf},
abstract = {{Ultra-intense laser-plasma interactions can produce TV/m acceleration gradients, making them promising for compact accelerators. Peking University is constructing a proton radiotherapy system prototype based on PW laser accelerators, but transient processes challenge stability control, critical for medical applications. This work demonstrates artificial intelligence’s (AI) application in laser accelerator control systems. To achieve micro-precision alignment between the ultra-intense laser and target, we propose an automated positioning program using the YOLO algorithm. This real-time method employs a convolutional neural network, directly predicting object locations and class probabilities from input images. It enables precise, automatic solid target alignment in about a hundred milliseconds, reducing experimental preparation time. The YOLO algorithm is also integrated into the safety interlocking system for anti-tailing, allowing quick emergency response. The intelligent control system also enables convenient, accurate beam tuning. We developed high-performance virtual accelerator software using "OpenXAL" and GPU-accelerated multi-particle beam transport simulations. The software allows real-time or custom parameter simulations and features control interfaces compatible with optimization algorithms. By designing tailored objective functions, desired beam size and distribution can be achieved in a few iterations.}},
}