Author: Li, F.N.
Paper Title Page
TUMBCMO13 Applications of Artificial Intelligence in Laser Accelerator Control System 372
 
  • F.N. Li, K.C. Chen, Z. Guo, Q.Y. He, C. Lin, Q. Wang, Y. Xia, M.X. Zang
    PKU, Beijing, People’s Republic of China
 
  Funding: the National Natural Science Foundation of China (Grants No. 11975037, NO. 61631001 and No. 11921006), and the National Grand Instrument Project (No. 2019YFF01014400 and No. 2019YFF01014404).
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.
 
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DOI • reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO13  
About • Received ※ 04 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 23 November 2023 — Issued ※ 23 November 2023
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TH1BCO02 Development of Laser Accelerator Control System Based on EPICS 1093
 
  • Y. Xia, K.C. Chen, L.W. Feng, Z. Guo, Q.Y. He, F.N. Li, C. Lin, Q. Wang, X.Q. Yan, M.X. Zang, J. Zhao
    PKU, Beijing, People’s Republic of China
  • J. Zhao
    Peking University, Beijing, Haidian District, People’s Republic of China
 
  Funding: State Key Laboratory of Nuclear Physics and Technology, and Key Laboratory of HEDP of the Ministry of Education, CAPT, Peking University, Beijing 100871, China;
China’s Min­istry of Sci­ence and Tech­nol­ogy sup­ports Peking Uni­ver­sity in con­struct­ing a pro­ton ra­dio­ther­apy de­vice based on a petawatt (PW) laser ac­cel­er­a­tor. The con­trol sys­tem’s func­tion­al­ity and per­for­mance are vital for the ac­cel­er­a­tor’s re­li­a­bil­ity, sta­bil­ity, and ef­fi­ciency. The PW laser ac­cel­er­a­tor con­trol sys­tem has a three-layer dis­trib­uted ar­chi­tec­ture, in­clud­ing de­vice con­trol, front-end (input/out­put) con­trol and cen­tral con­trol (data man­age­ment, and hu­man-ma­chine in­ter­face) lay­ers. The soft­ware plat­form pri­mar­ily uses EPICS, sup­ple­mented by PLC, Python, and Java, while the hard­ware plat­form com­prises in­dus­trial con­trol com­put­ers, servers, and pri­vate cloud con­fig­u­ra­tions. The con­trol sys­tem in­cor­po­rates var­i­ous sub­sys­tems that man­age the laser, tar­get field, beam­line, safety in­ter­locks, con­di­tions, syn­chro­niza­tion, and func­tion­al­i­ties re­lated to data stor­age, dis­play, and more. This paper pre­sents a con­trol sys­tem im­ple­men­ta­tion suit­able for laser ac­cel­er­a­tors, pro­vid­ing valu­able in­sights for fu­ture laser ac­cel­er­a­tor con­trol sys­tem de­vel­op­ment.
 
DOI • reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TH1BCO02  
About • Received ※ 04 October 2023 — Revised ※ 09 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 15 December 2023
Cite • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)