Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2017, Vol. 28 ›› Issue (8): 114 doi: 10.1007/s41365-017-0260-5


Two-plane painting injection scheme for BRing of HIAF

Guo-Feng Qu1,2, Wei-Ping Chai1, Jia-Wen Xia1, Jian-Cheng Yang1, Heng Du1,2,et al.   

  1. 1 Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
    2 University of Chinese Academy of Sciences, Beijing 100046, China
  • Supported by:
    Supported by the National Natural Science Foundation of China (No. 11505256).
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Guo-Feng Qu, Wei-Ping Chai, Jia-Wen Xia, Jian-Cheng Yang, Heng Du, et al.. Two-plane painting injection scheme for BRing of HIAF.Nuclear Science and Techniques, 2017, 28(8): 114     doi: 10.1007/s41365-017-0260-5


The high-intensity heavy-ion accelerator facility (HIAF) is under design at the Institute of Modern Physics (IMP) and will provide an intense ion beam for nuclear physics, atomic mass measurement research, and other applications. As the main ring of HIAF, the BRing accumulates beams to high intensity and accelerates them to high energy. To achieve high intensities up to 1 x1011 (238U34+), the injection gain of the BRing must be as high as 88. However, multiple multiturn injection supported by the electron cooling system takes a long time, causing substantial beam loss under a strong space charge effect. Hence, a two-plane painting injection scheme is proposed for beam accumulation in the BRing. This scheme uses a tilted injection septum and horizontal and vertical bump magnets to paint the beam into horizontal and vertical phase space simultaneously. In this paper, the two-plane painting injection parameters are optimized, and the resulting injection process is simulated using the Objective Ring Beam Injection and Tracking (ORBIT) code. An injection gain of up to 110.3 with a loss rate of 2:3% is achieved, meeting the requirements of BRing.

Key words: HIAF, Heavy-ion accelerator, Two-plane painting injection, Genetic algorithm, ORBIT