Chinese Physics C > 2016, Vol. 40 > Issue(6): 066001 DOI: 10.1088/1674-1137/40/6/066001

Monte Carlo predictions of proton SEE cross-sections from heavy ion test data

1.
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China
3.
Academy of Shenzhen State Microelectronics Co., Ltd., Shenzhen 518057, China
4.
Science and Technology on Reliability Physics and Application of Electronic Component Laboratory, ChinaElectronic Product Reliability and Environmental Testing Research Institute, Guangzhou 510610, China
5.
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China

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Abstract：
The limits of previous methods prompt us to design a new approach (named PRESTAGE) to predict proton single event effect (SEE) cross-sections using heavy-ion test data. To more realistically simulate the SEE mechanisms, we adopt Geant4 and a location-dependent strategy to describe the physics processes and the sensitivity of the device. Cross-sections predicted by PRESTAGE for over twenty devices are compared with the measured data. Evidence shows that PRESTAGE can calculate not only single event upsets induced by indirect proton ionization, but also direct ionization effects and single event latch-ups. Most of the PRESTAGE calculated results agree with the experimental data within a factor of 2-3.
- single event effects,
- Geant4,
- protons,
- heavy ions

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Kai Xi, Chao Geng, Zhan-Gang Zhang, Ming-Dong Hou, You-Mei Sun, Jie Luo, Tian-Qi Liu, Bin Wang, Bing Ye, Ya-Nan Yin and Jie Liu. Monte Carlo predictions of proton SEE cross-sections from heavy ion test data[J]. Chinese Physics C, 2016, 40(6): 066001. doi: 10.1088/1674-1137/40/6/066001

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Received: 2015-11-30
Revised: 2016-02-06

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Supported by National Natural Science Foundation of China (11179003, 10975164, 10805062, 11005134)

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通讯作者:陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Monte Carlo predictions of proton SEE cross-sections from heavy ion test data

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Monte Carlo predictions of proton SEE cross-sections from heavy ion test data

Corresponding author:Jie Liu,

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