Particle identification technique using grid ionization chamber at China Spallation Neutron Source. (6th November 2017)

• Record Type: Journal Article
• Authors: Zhao, Yingtan; Fan, Ruirui; Zhang, Qingmin; He, Yuefeng; Sun, Zhijia; Zhou, Liang; Tang, Jingyu; Bai, Huaiyong; Jiang, Haoyu; Zhang, Guohui
• Is Part Of: Journal of instrumentation. Volume 12:Number 11(2017:Nov.)
• Page Start: P11001
• Page End: P11001
• Publication Date: 2017-11-06
• Subjects: Particle identification methods -- Wire chambers (MWPC, Thin-gap chambers, drift chambers, drift tubes, proportional chambers etc) -- Instrumentation and methods for heavy-ion reactions and fission studies -- Gaseous detectors; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/12/11/P11001
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: Back-n white neutron source at China Spallation Neutron Source facility requires a detector with charged-particle identification ability for measuring nuclear cross sections. Therefore, a grid ionization chamber (GIC) with an adjustable distance between the cathode and grid was designed and built. Moreover, a corresponding particle identification algorithm is proposed in order to use the signals of the anode (Q A ) and cathode (Q C ), or the signal (Q A ) of the anode and the time difference ( Δ t) between the cathode and anode signals, based on the interactive behaviors of charged particles and the GIC's working principle. First, the GIC performance was measured using a 241 Am α source for preliminary performance testing, which provided an energy resolution of 5.25%. Its good particle identification performance was demonstrated by identifying 3 H and 4 He from neutron reactions with 6 Li using a 2D Q C -Q A plot and Δ t-Q A plot. Furthermore, 3 H and 4 He can be completely distinguished from the updated 2D Q C -Q A plot and Δ t-Q A plot, in which 3 H with a small incident angle is selected. Finally, it was concluded that our GIC with the proposed particle identification algorithm could identify charged particles effectively for the future measurement of nuclear cross sections.