将单事件在轨数据与空间天气联系起来

P. Hornung, A. Menicucci, G. Mandorlo, G. Furano, M. Prochazka
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引用次数: 0

摘要

研究了哨兵2A和2B星上SRAM存储器观测到的可校正单事件扰动,目的是确定空间天气活动与SEU发生的轨道时间和位置之间的相关性。哨兵2A和2B是欧洲航天局的两颗相同的卫星,在平均786公里的高度飞行。所研究的SRAM存储器是存储系统主管的一部分。由于SEE的内禀泊松分布,在一个轨道周期采样的事件率被正态方差严重叠加。移动平均滤波器提取归因于太阳周期、南大西洋异常(SSA)季节行为和设备退化的特征。研究对地磁风暴的反应需要进一步的数据,因为现有的数据与延长的“太阳平静期”有关。位置数据也经过类似的过滤,预计会显示单个事件所看到的SAA的移动。两颗卫星过滤后的事件位置显示出共同的特征,但也有目前无法解释的奇特的短期差异。
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Linking Single Event In-Orbit Data to Space Weather
Correctable single event upsets observed in a SRAM memory on-board of Sentinel 2A and 2B are studied, with the aim of identifying a correlation between space weather activity and the orbital time and position of occurrence of SEU. Sentinel 2A and 2B are two identical ESA satellites flying at an average altitude of 786 km. The SRAM memory under study is part of the memory system supervisor. Event rate, sampled at one orbital period, is heavily superim-posed by normal variance due to intrinsic Poisson distribution of SEE. A moving average filter extracts features attributed to the solar cycle, the South Atlantic Anomaly (SSA) seasonal behaviour and device degradation. Further data is needed to study the response to geomagnetic storms, since available ones are relative to a prolonged ‘solar lull’ period. Position data is filtered similarly, which is expected to show the movement of the SAA as seen by single events. The two satellites' filtered event positions show common features, but also peculiar, currently unexplained, short-term differences.
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