分类： 物理学 >> 核物理学 提交时间： 2025-04-25
Wen, Mr. Shihai
She, Mr. Qianshun
Kong, Dr. Jie
Wang, Dr. Kailong
An, Mr. YiLang
Yang, Mr. Zuoqiao
Yan, Dr. Jun-Wei
Qian, Dr. Yi
Yu, Dr. Yuhong
Li, Dr. Guangshun
Sun, Prof. Zhiyu 孙志宇
摘要： In the High Energy FRagment Separator (HFRS) at the High Intensity heavy-ion Accelerator Facility (HIAF), plastic scintillation detectors are used for high-precision time-of-flight (ToF) measurements to identify the secondary ions from the reaction between the primary beam and the target. During the day-one experiments, the readout electronics for the ToF detectors is required to achieve a time resolution of 40 ps with a single-channel counting rate up to 10^6 counts per second (cps). This study presents a prototype readout electronics for plastic scintillation ToF detectors, the system comprises a constant-fraction discriminator (ORTEC Model-935), a level conversion board, and a time digitization board. We developed an octal logic signal adapter to convert NIM signals into LVDS differential signals. For time digitization, a Filed Programmable Gare Array (FPGA) is utilized through the internal tapped delay line (TDL). The performance of time resolution and counting rate of the electronics system is evaluated using a high-precision pulse generator and a picosecond pulsed laser. The test results indicate that the single-channel time resolution is around 10 ps, with a maximum counting rate of 1.6 \times 10^6 cps. The overall average ToF resolution achieves 17.9 ps during the laser test at a repetition rate of 1 MHz. These results validate that the developed system meets the HFRS beamline's requirements for ToF resolution and counting rate.
分类： 物理学 >> 核物理学 提交时间： 2025-03-10
Zhang, Mr. JL
Liu, Mr. Xiangman
Sun, Prof. Zhiyu 孙志宇
Fang, Ms. Fang
An, Ms. qi
Lu, Mr. Fenhua
Tang, Dr. Shuwen
Qian, Dr. Yi
Wang, Dr. Shitao
Kong, Dr. Jie
Yang, Dr. Herun
Ma, Mr. Peng
Jiang, Mr. Xuan
SUN, Mr. Yazhou
Yan, Mr. Duo
Zhang, Dr. Xueheng
Zhang, Mr. Yongjie
Yu, Dr. Yuhong
Jiang, Prof. jun
摘要： Cosmic ray muons, characterized by their high energy and penetrative capabilities, provide significant advantages for non-destructive imaging applications, including security inspection, geological exploration, and archaeology. As the muon tomography continues to advance, there is growing demand for precise and efficient muon imaging algorithms. The quality of muon scattering imaging depends on the accuracy of the muon trajectory reconstruction. This paper proposes a neural network-based method utilizing Multi-Wire Drift Chambers (MWDCs), achieving a spatial resolution of 351 \mu m. Additionally, to address challenges of imaging accuracy and track utilization efficiency, an improved method based on the PoCA (Point-of-Closest Approach) algorithm is introduced. This enhancement significantly improves imaging resolution and reconstruction performance, offering a more solution for muon-based imaging solutions.
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