Prediction of proton-induced SEE error rates for the VATA160 ASIC
文献类型：期刊论文
| 作者 | Xi, Kai1,2; Jiang, Di3; Gao, Shan-Shan3; Kong, Jie1 ; Zhao, Hong-Yun1; Yang, Hai-Bo1; Liu, Tian-Qi1; Wang, Bin1,2; Ye, Bing1,2; Liu, Jie1
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| 刊名 | NUCLEAR SCIENCE AND TECHNIQUES
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| 出版日期 | 2017 |
| 卷号 | 28页码:6 |
| 关键词 | Proton ASIC Single event effects Error rates |
| ISSN号 | 1001-8042 |
| DOI | 10.1007/s41365-016-0153-z |
| 英文摘要 | We predict proton single event effect (SEE) error rates for the VATA160 ASIC chip on the Dark Matter Particle Explorer (DAMPE) to evaluate its radiation tolerance. Lacking proton test facilities, we built a Monte Carlo simulation tool named PRESTAGE to calculate the proton SEE cross-sections. PRESTAGE is based on the particle transport toolkit Geant4. It adopts a location-dependent strategy to derive the SEE sensitivity of the device from heavy-ion test data, which have been measured at the HI-13 tandem accelerator of the China Institute of Atomic Energy and the heavy-ion research facility in Lanzhou. The AP-8, SOLPRO, and August 1972 worst-case models are used to predict the average and peak proton fluxes on the DAMPE orbit. Calculation results show that the averaged proton SEE error rate for the VATA160 chip is approximately 2.17 x 10(-5)/device/day. Worst-case error rates for the Van Allen belts and solar energetic particle events are 1-3 orders of magnitude higher than the averaged error rate. |
| WOS关键词 | CROSS-SECTIONS ; SINGLE-EVENT ; DEPENDENCE ; SIMULATION ; UPSETS |
| 资助项目 | National Natural Science Foundation of China[11179003] ; National Natural Science Foundation of China[10975164] ; National Natural Science Foundation of China[10805062] ; National Natural Science Foundation of China[11005134] |
| WOS研究方向 | Nuclear Science & Technology ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000393150100010 |
| 出版者 | SPRINGER SINGAPORE PTE LTD |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://119.78.100.186/handle/113462/44293]  |
| 专题 | 中国科学院近代物理研究所 |
| 通讯作者 | Liu, Jie |
| 作者单位 | 1.Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Univ Sci & Technol China, State Key Lab Particle Detect & Elect, Hefei 230026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xi, Kai,Jiang, Di,Gao, Shan-Shan,et al. Prediction of proton-induced SEE error rates for the VATA160 ASIC[J]. NUCLEAR SCIENCE AND TECHNIQUES,2017,28:6. |
| APA | Xi, Kai.,Jiang, Di.,Gao, Shan-Shan.,Kong, Jie.,Zhao, Hong-Yun.,...&Liu, Jie.(2017).Prediction of proton-induced SEE error rates for the VATA160 ASIC.NUCLEAR SCIENCE AND TECHNIQUES,28,6. |
| MLA | Xi, Kai,et al."Prediction of proton-induced SEE error rates for the VATA160 ASIC".NUCLEAR SCIENCE AND TECHNIQUES 28(2017):6. |
入库方式： OAI收割
来源：近代物理研究所
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