A CVD diamond film detector for pulsed proton detection
Wang Lan(王兰)a)†, Ouyang Xiao-Ping(欧阳晓平)a)b)d), Fan Ru-Yu(范如玉)a)b), Jin Yong-Jie(金永杰)a), Zhang Zhong-Bing(张忠兵)b), Pan Hong-Bo(潘洪波)b), Liu Lin-Yue(刘林月)b), Lü Fan-Xiu(吕反修)c), and Bu Ren-An(卜忍安)d)
a Department of Engineering Physics, Tsinghua University, Beijing 100084, China; b Northwest Institute of Nuclear Technology, Xi'an 710024, China; c Material College, Beijing University of Science and Technology, Beijing 100083, China; d Xi'an Jiaotong University, Xi'an 710049, China
Abstract A chemical vapour deposition (CVD) diamond film detector was prepared and the main characteristics for pulsed proton detection were studied at Beijing Tandem Accelerator. The result shows that the charge collection efficiency of the detector increases with increasing electric field intensity and reaches to 9.44% at 5 V/$\mu $m with the charge collection distance of 15.9 $\mu $m. The relationship between the sensitivity of the detector and proton energy is consistent with the Monte Carlo (MC) simulation result. Its plasma time for a pulse with 4.85$\times $10$^{5}$ protons is 11.2ns. The dose threshold for onset of damage under 9MeV proton irradiation in the detector is about 10$^{13}$ cm$^{ - 2}$. All of the results show that a CVD diamond detector has fast time response and high radiation hardness, and can be used in pulsed proton detection.
Received: 15 August 2007
Revised: 27 May 2008
Accepted manuscript online:
Fund: Project supported by the National
Natural Science Foundation of China (Grant
No 10675074).
Cite this article:
Wang Lan(王兰), Ouyang Xiao-Ping(欧阳晓平), Fan Ru-Yu(范如玉), Jin Yong-Jie(金永杰), Zhang Zhong-Bing(张忠兵), Pan Hong-Bo(潘洪波), Liu Lin-Yue(刘林月), Lü Fan-Xiu(吕反修), and Bu Ren-An(卜忍安) A CVD diamond film detector for pulsed proton detection 2008 Chin. Phys. B 17 3644
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
