Detection of low-energy charged-particle using the Δ E-E telescope at the Back-n white neutron source

The Back-n is a high luminosity white neutron beamline at the China Spallation Neutron Source (CSNS). It started running in 2018 for various nuclear data measurements. A Light charged Particle Detector Array (LPDA) is designed for (n, lcp) reaction experiments, which includes a group of detectors an...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Fan, Ruirui [verfasserIn]

Jiang, Haoyu

Jiang, Wei

Zhang, Guohui

Yi, Han

Sun, Kang

Bai, Huaiyong

Zhou, Liang

Ning, Changjun

He, Yuefeng

Zhao, Yingtan

Wang, Yanfeng

He, Yongcheng

Cui, Zengqi

Sun, Zhijia

An, Qi

Bao, Jie

Cao, Ping

Chen, Qiping

Chen, Yonghao

Cheng, Pinjing

Feng, Changqing

Gu, Minhao

Guo, Fengqin

Han, Changcai

Han, Zijie

He, Guozhu

Huang, Hanxiong

Huang, Weiling

Huang, Xiru

Ji, Xiaolu

Ji, Xuyang

Jing, Hantao

Kang, Ling

Kang, Mingtao

Li, Bo

Li, Lun

Li, Qiang

Li, Xiao

Li, Yang

Liu, Rong

Liu, Shubin

Liu, Xingyan

Luan, Guangyuan

Ma, Yinglin

Qi, Binbin

Ren, Jie

Ruan, Xichao

Song, Zhaohui

Sun, Hong

Sun, Xiaoyang

Tan, Zhixin

Tang, Hongqing

Tang, Jingyu

Wang, Pengcheng

Wang, Qi

Wang, Taofeng

Wang, Zhaohui

Wang, Zheng

Wen, Jie

Wen, Zhongwei

Wu, Qingbiao

Wu, Xiaoguang

Wu, Xuan

Xie, Likun

Yang, Yiwei

Yu, Li

Yu, Tao

Yu, Yongji

Zhang, Jing

Zhang, Linhao

Zhang, Liying

Zhang, Qingmin

Zhang, Qiwei

Zhang, Xianpeng

Zhang, Yuliang

Zhang, Zhiyong

Zhou, Zuying

Zhu, Danyang

Zhu, Kejun

Zhu, Peng

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2020transfer abstract

Schlagwörter:

Charged particle detection

CSNS

Δ E-E

White neutron source

Übergeordnetes Werk:

Enthalten in: The efficacy of EEG-biofeedback for acute pain management, a randomized sham-controlled study of a tailored protocol - Ide, C.V. ELSEVIER, 2017, a journal on accelerators, instrumentation and techniques applied to research in nuclear and atomic physics, materials science and related fields in physics, Amsterdam

Übergeordnetes Werk:

volume:981 ; year:2020 ; day:21 ; month:11 ; pages:0

Links:

Volltext

DOI / URN:

10.1016/j.nima.2020.164343

Katalog-ID:

ELV051642271

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