Triton identification in the 6Li(n, t)4He reaction measurement with the grid ionization chamber at CSNS Back-n white neutron source
Triton identification in the 6Li(n, t)4He reaction measurement with the grid ionization chamber at CSNS Back-n white neutron source
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DOI：
10.1088/1748-0221/14/02/p02011
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发表时间：
2019-02
影响因子：
1.3
通讯作者：
H. Yi;Y. Zhao;W. Jiang;R. Fan;Y. Li-b;Y. Chen;H. Bai;H. Jiang;Z. Cui;G. Zhang;P. Cao;T. Yu;L. Zhou;C. Ning;M. Gu;Y. He;Z. Sun;J. Tang;Q. Zhang;Q. An;J. Bao;Q. Chen;P. Cheng;C. Feng;F. Guo;C. Han;Z. Han;G. He;Y. He;H. Huang;W. Huang;X. Huang;X. Ji;X. Ji;H. Jing;L. Kang;M. Kang;B. Li;Q. Li;X. Li;Y. Li(a);R. Liu;S. Liu;X. Liu;G. Luan;Y. Ma;J. Pan;B. Qi;J. Ren;X. Ruan;Z. Song;H. Sun;X. Sun;Z. Tan;H. Tang;P. Wang;Q. Wang;T. Wang;Y. Wang;Z. Wang;Z. Wang;J. Wen;Z. Wen;Q. Wu;X. Wu;X. Wu;L. Xie;Y. Yang;L. Yu;Y. Yu;J. Zhang;L. Zhang;Q. Zhang;X. Zhang;Y. Zhang;Z. Zhang;Z. Zhou;D. Zhu;K. Zhu;P. Zhu
中科院分区：
文献类型：
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作者：
H. Yi;Y. Zhao;W. Jiang;R. Fan;Y. Li-b;Y. Chen;H. Bai;H. Jiang;Z. Cui;G. Zhang;P. Cao;T. Yu;L. Zhou;C. Ning;M. Gu;Y. He;Z. Sun;J. Tang;Q. Zhang;Q. An;J. Bao;Q. Chen;P. Cheng;C. Feng;F. Guo;C. Han;Z. Han;G. He;Y. He;H. Huang;W. Huang;X. Huang;X. Ji;X. Ji;H. Jing;L. Kang;M. Kang;B. Li;Q. Li;X. Li;Y. Li(a);R. Liu;S. Liu;X. Liu;G. Luan;Y. Ma;J. Pan;B. Qi;J. Ren;X. Ruan;Z. Song;H. Sun;X. Sun;Z. Tan;H. Tang;P. Wang;Q. Wang;T. Wang;Y. Wang;Z. Wang;Z. Wang;J. Wen;Z. Wen;Q. Wu;X. Wu;X. Wu;L. Xie;Y. Yang;L. Yu;Y. Yu;J. Zhang;L. Zhang;Q. Zhang;X. Zhang;Y. Zhang;Z. Zhang;Z. Zhou;D. Zhu;K. Zhu;P. Zhu
6Li（n，t）4 He微分截面测量是在中国自行研制的中子源背n白色中子源上首次用带电粒子探测器阵列（LPDA）进行的实验。LPDA系统由三种探测器组成。其中之一是栅极电离室（GIC），它具有粒子识别的能力。根据实验中收集的数据，给出了GIC的颗粒识别性能。来自GIC阳极和阴极的信号通过读出电子设备和DAQ系统进行数字化。离线数据分析分两个主要步骤进行。第一步是处理由读出电子器件数字化的原始信号波形。为了获得高信噪比和精确的定时分辨率，在原始信号处理中，开发并实现了一套数字滤波算法，包括RC-CR滤波器、带通滤波器和数字CFD。第二步是对triton事件的识别。在ROOT中的TMVA软件包中实现的多变量分析算法用于区分triton事件和背景事件，测得triton识别效率为98%。总体而言，GIC的性能已经达到了实验测量的基线要求。
The measurement of 6Li(n, t)4He differential cross section is the first experiment conducted with the Light-charged Particle Detector Array (LPDA) at the Back-n white neutron source of the China Spallation Neutron Source. The LPDA system consists of three kinds of detectors. One of them is the grid ionization chamber (GIC), which has the capability of particle identification. The particle identification performance of the GIC is presented based on the data collected in this experiment. Signals from the anode and the cathode of the GIC are digitized through the readout electronics and DAQ system. The offline data analysis is performed in two major steps. The first step is the processing of the original signal waveform digitized by the readout electronics. A set of digital filter algorithms including RC-CR filter, band-pass filter and digital CFD are developed and implemented in the original signal processing in order to obtain a high signal-noise ratio and a precise timing resolution. The second step focuses on the identification of triton events. The triton identification efficiency is measured to be 98% using a multivariate analysis algorithm implemented in the TMVA package in ROOT to discriminate the triton events and background events. In general, the performance of the GIC has met the baseline requirement of the experiment measurement.