1987年9月23日在3.2cm波长上的日环食射电观测

本文介绍了1987年9月23日在3.2厘米波长上的日环食射电观测的资料处理、射电源的证认和结果分析,取得以下结果:(1)太阳射电半径为1.09±0.2;(2)日面亮度温度分布,在光学边缘13.4—15.9范围内有一明显的临边增亮,增亮的幅度为13.5±5％;(3)宁静太阳流量为264.8sfu;(4)射电源的角径、流量、平均亮温度和高度等.     

时分互补式立体电视系统的研究

互补色分像法立体电视系统简便实用，利于推广普及。但固有"串包干扰"是影响该系统立体效果的一个主要难题。提出利用时分技术消除"串色干扰"的最新方法，并讨论了几种实验方案。实验结果表明：由新方法构成的"时分互补式立体电视系统"无串色、无闪烁，是一种集时分式立体电视系统及互补色分像法立体电视系统优点的新系统。     

Solar Neutrinos

The current status of solar neutrino experiments is reviewed. All the experimental measurements show deficits of solar neutrinos. Non monotonic suppression indicates that the problem may naturally be explained by neutrino oscillations, but not by modifying solar models. A new experiment shows very promising results. We hope that a definite answer to the question of whether solar neutrinos are oscillating will be obtained in the very near future. This revised version was published online in June 2006 with corrections to the Cover Date.     

用于高精度太阳敏感器标定的模拟光源控制系统设计

为了精确模拟空间太阳辐照方向的变化,设计了一种以计算机控制为核心的、用于高精度太阳敏感器标定的模拟光源闭环控制系统。由计算机直接控制光电隔离输出卡,所输出的数字信号经过功率驱动电路和软启动电路后实现模拟光源的开启与关闭,采用软件方式控制步进电机的转速和转向,并通过高精度光电编码器实时获取当前的转动角度值,再经串口通信反馈给计算机,构成闭环控制系统。标定测量表明:系统的俯仰角和方位角转动误差均小于0.02°,均满足高精度太阳敏感器标定对模拟光源的要求。     

用太阳源法测量遥测系统的品质因数G/T

阐述利用太阳源法测量遥测系统品质因数G/T的原理,提出可用于工程实际的实现方法,重点对太阳流量密度、K1因子、K2因子等参数进行分析,给出工程应用计算方法。最后,以某遥测系统为例,给出了采用太阳源法和信标塔法的测量值,并对测试结果进行比对分析。实测结果分析表明,太阳源法测得的G/T重复测试精度小于0.4 dB,与信标塔法测试结果相差小于0.6 dB。因此,太阳源法合理可行,可广泛应用于遥测系统指标测试。     

Analysis of solar spike events by means of symbolic dynamics methods

We have searched for interrelations of spikes emitted simultaneously at different frequencies during the impulsive phase of flare events (Fig.1). As the spikes are related to the flare energy release and are interpreted as emissions that originate at different sites having different magnetic field strengths, any relation in frequency is interpretated as a relation in space. Quantities of symbolic dynamics, such as mutual information, Shannon information and algorithmic complexity are appropriate to characterize such spatiotemporal patterns, whereas the popular estimate of fractal dimensions can be applied to low-dimensional systems only.The goal is to decide between two possible types of fragmentation depending on the energy release and emission processes, which we callglobal andlocal organization. In the global organization the whole region becomes supercritical, and the energy is released in independent, small regions. The alternative local scenario requires a trigger that spreads from initial localized events and ignites nearby regions.Mutual information which is a generalization of correlation indicates a relation in frequency beyond the bandwidth of individual spikes. The scans in the spectrograms with large mutual information also show a low level of Shannon information and algorithmic complexity, indicating that the simultaneous appearance of spikes at other frequencies is not a completely stochastic phenomenon (white noise). It may be caused by a nonlinear deterministic system or by a Markov process. By means of mutual information we find a memory over frequency intervals up to 60 MHz (Fig. 2). Shannon information and algorithmic complexity, however, describe spike events as a whole, i.e. a global source region. A global organization is also apparent in quasi-periodic changes of the Shannon information and algorithmic complexity in the range of 2–8 seconds (Fig. 3).This findings is compatible with a scenario of local organization in which the information of one spike event spreads spatially and hence triggers further spike events at different places. The region is not an ensemble of independently flashing sources, each representing a system that cascades in energy after an initial trigger. On the contrary, there is a causal connection between the sources at any time.The analysis of four spike events suggests that the simultaneous appearance of spikes is not stochastically independent but a process in which spikes at nearby locations are simultaneously triggered by a common exciter.We have shown in the case in the case of spikes that quantities from nonlinear dynamics used in this paper are helpful in detecting structural properties of complex spatio-temporal patterns. This approach seems to be promising also for several other astrophysical applications.