某型号卫星磁性分析与控制

某型号卫星的有效载荷之一高能望远镜对磁场敏感,因此在设计阶段即需分析卫星在轨时载荷所处的磁场环境,并尽可能提高载荷的抗磁场干扰能力。文章根据卫星的构型,对整星的磁场分布进行了计算;对载荷的抗磁场干扰能力进行了测试;对载荷的磁屏蔽方案进行了仿真与测试;分析了抗磁场干扰设计对整星磁性控制的影响,证明卫星可以满足总磁矩不大于5.0 A?m2的姿态控制要求。     

液浮挠性摆式加表K1温度系数工艺研究

本文通过分析影响液浮挠性摆式加表K<,1>温度系数的各种因素,从加表的工作原理、结构特点、工艺过程等方面展开研究,系统介绍了加表K<,1>温度系数热磁补偿的理论计算和实验方法,大大提高了加表K<,1>温度系数合格率及K<,1>项精度.     

卫星磁部件分布对梯度法消除剩磁的影响分析

在工程实施中双探头梯度法的误差系数只能达到0.5~0.3,意味着只能消除50%~70%的卫星剩磁干扰。文章研究双探头梯度法消除卫星本体剩磁的原理和工程上双探头梯度法的误差来源,并分析了卫星剩磁部件的分布对磁心的影响,以及磁心与双探头位置的关系在双探头梯度法中的关键作用。当磁心位置确定,并且双探头安装连线通过磁心,双探头梯度法的处理误差能够实现最小化。仿真试验表明,在优化剩磁部件分布和双探头部署位置的情况下,双探头梯度法的误差系数可以从0.4降低到0.03以下。     

The characteristics of flare- and CME-productive solar active regions

Solar flares and coronal mass ejections (CMEs) cause immediate and adverse effects on the interplanetary space and geospace. In an era of space-based technical civilization, the deeper understanding of the mechanisms that produce them and the construction of efficient prediction schemes are of paramount importance. The source regions of flares and CMEs exhibit some common morphological characteristics, such as $\delta$-spots, filaments and sigmoids, which are associated with strongly sheared magnetic polarity inversion lines, indicative of the complex magnetic configurations that store huge amounts of free magnetic energy and helicity. The challenge is to transform this empirical knowledge into parameters/predictors that can help us distinguish efficiently between quiet, flare-, and CME-productive (eruptive) active regions. This paper reviews these efforts to parameterize the characteristics of eruptive active regions as well as the importance of transforming new knowledge into more efficient predictors and including new types of data. Magnetic properties of active regions were first introduced when systematic ground-based observations of the photospheric magnetic field became possible and the relevant research was boosted by the provision of near real time, uninterrupted, high-quality observations from space, which allowed the study of large, statistically significant samples. Nonetheless, flare and CME prediction still faces a number of challenges. The magnetic field information is still constrained at the photospheric level and accessed only from one vantage point of observation, thus there is always need for better predictors; the dynamic behavior of active regions is still not fully incorporated into predictions; the inherent stochasticity of flares and CMEs renders their prediction probabilistic, thus benchmark sets are necessary to optimize and validate predictions. To meet these challenges, researchers have put forward new magnetic properties, which describe different aspects of magnetic energy storage mechanisms in active regions and offer the opportunity of parametric studies for over an entire solar cycle. This inventory of features/predictors is now expanded to include information from flow fields, transition region and coronal spectroscopy, data-driven modeling of the coronal magnetic field, as well as parameterizations of dynamic effects from time series. Further work towards these directions may help alleviate the current limitations in observing the magnetic field of higher atmospheric layers. In this task, fundamental and operational research converge, with promising results which could stimulate the development of new missions and lay the ground for future exploratory studies, also profiting from and utilizing the long anticipated observations of the new generation of instruments.