Chinese Physics C > 2015, Vol. 39 > Issue(8): 087001 DOI: 10.1088/1674-1137/39/8/087001

Particle tracking simulation in the CSRe stochastic cooling system

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Abstract：
A stochastic cooling system is under design and construction at HIRFL-CSRe (Heavy Ion Research Facility in Lanzhou - experimental Cooling Storage Ring), with the aim of cooling secondary particles produced at HIRFL-RIBLL2 (2nd Radioactive Ion Beam Line in Lanzhou). The optical layout of CSRe has been optimized to meet the requirements of a stochastic cooling system. In this paper, a particle tracking method is used to investigate both transverse and longitudinal cooling on the basis of the modified optical layout, demonstrating how it can be used to optimize stochastic cooling parameters. Simulation results indicate that the particle tracking method is an innovative and reasonable method to study stochastic cooling. It also has the advantage of discovering the influence of Twiss parameters at the pickups and kickers, which will be explored in further studies.

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HU Xue-Jing, YUAN You-Jin, WU Jun-Xia, ZHANG Xiao-Hu and JIA Huan. Particle tracking simulation in the CSRe stochastic cooling system[J]. Chinese Physics C, 2015, 39(8): 087001. doi: 10.1088/1674-1137/39/8/087001

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Received: 2014-02-13
Revised: 2015-03-18

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沈阳化工大学材料科学与工程学院沈阳 110142

Particle tracking simulation in the CSRe stochastic cooling system

Corresponding author:HU Xue-Jing,

Received Date:2014-02-13
Accepted Date:2015-03-18
Available Online:2015-08-15

Abstract:A stochastic cooling system is under design and construction at HIRFL-CSRe (Heavy Ion Research Facility in Lanzhou - experimental Cooling Storage Ring), with the aim of cooling secondary particles produced at HIRFL-RIBLL2 (2nd Radioactive Ion Beam Line in Lanzhou). The optical layout of CSRe has been optimized to meet the requirements of a stochastic cooling system. In this paper, a particle tracking method is used to investigate both transverse and longitudinal cooling on the basis of the modified optical layout, demonstrating how it can be used to optimize stochastic cooling parameters. Simulation results indicate that the particle tracking method is an innovative and reasonable method to study stochastic cooling. It also has the advantage of discovering the influence of Twiss parameters at the pickups and kickers, which will be explored in further studies.