Using digital imagers to characterize the dependence of energy and area distributions of SEUs on elevation

G. Chapman, Rohan Thomas, Klinsmann J. Coelho Silva Meneses, Ruoyi Zhao, I. Koren, Z. Koren
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Abstract

Camera Integrated circuits (ICs) suffer from soft errors known as Single Event Upsets (SEUs). Unlike traditional ICs, camera sensors record the location and energy deposited by each SEU. Camera pixels measure when and where cosmic ray particles hit and store the deposited charge when dark-frame images are taken. Hence, with large datasets of time-lapsed dark-frame images, pixel analysis provides the intensity and energy distribution of deposited SEU charges, the energy vs occurrence rate, the total area of the charge ball, and potentially the dependence of the number of SEUs on the camera elevation. Previously developed noise distribution analysis enables the removal of noise and the detection of low energy SEUs. In addition, it allows estimating the area of the deposited charge. We used two DSLR cameras and measured SEU rates at elevations from sea level to 1088 m, allowing us to explore the dependence of SEU energy and area distributions on elevation. We observed significant increases in SEUs with elevation changes of < 50 meters.
利用数字成像仪表征seu能量和面积分布对高程的依赖关系
相机集成电路(ic)遭受软错误称为单事件干扰(seu)。与传统集成电路不同,摄像头传感器记录每个SEU的位置和沉积能量。相机像素测量宇宙射线粒子撞击的时间和地点,并在拍摄暗帧图像时存储沉积的电荷。因此,对于延时暗帧图像的大数据集,像素分析提供了沉积的SEU电荷的强度和能量分布,能量与发生率,电荷球的总面积,以及SEU数量与相机高程的潜在依赖关系。以前开发的噪声分布分析能够去除噪声并检测低能量seu。此外,它还可以估算沉积电荷的面积。我们使用了两台数码单反相机,测量了从海平面到1088米海拔高度的SEU率,从而探索了SEU能量和面积分布对海拔的依赖关系。我们观察到seu在海拔变化< 50米时显著增加。
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