地月拉格朗日L2点中继星轨道分析与设计

地月L2点位于地月连线的延长线上,在地月L2点运行的卫星可以连续观测月球背面,解决月球背面与地球之间的通讯问题,在月球背面着陆探测任务中起着至关重要的作用。对从地球出发、利用月球引力辅助变轨、形成地月L2点的轨道进行了研究,分析了发射窗口、地月转移时间、近月点高度、近月点倾角、轨道振幅等多项因素对转移轨道和使命轨道特性的影响,寻求满足地月L2点中继任务需求的飞行轨道。通过分析研究,文章明确了转移和使命轨道的相关特性,可为中继星任务轨道的参数设计和优化提供有益参考。     

高压动态标定用的水激波管

本文介绍了一种用于对1000MPa 以下的高压传感器进行动态特性标定的水激波管装置,装置内径30mm,管长550mm,用叠氮化铅点火头为爆源,用 PVF_2压电薄膜做成色散压杆传感器监测其压力波形。利用该装置对二种不同原理的高压传感器进行了动态标定试验,得到了初步的频率响应特性的试验结果。     

Al_2O_（3P）／Zn－Al复合材料的硬度与耐磨性能

研究了流变铸造法制备的Ａｌ２Ｏ３Ｐ／Ｚｎ－Ａｌ复合材料硬度和耐磨性能。结果表明Ａｌ２Ｏ３Ｐ的加入，提高了Ｚｎ－Ａｌ合金的室温和高温硬度，改善了其耐磨性能。颗粒体积含量增加，或者颗粒粒径的减小都将提高该复合材料的硬度和耐磨性，而试验温度的增加会引起其硬度的迅速降低。不过，Ａｌ２Ｏ３Ｐ的加入显著改善了Ｚｎ－Ａｌ合金耐高温性能。此外，文中还研究了淬火、回火或循环热处理对该复合材料硬度值的影响。     

软件无线电的关键技术与发展动态

软件无线电是利用软件来实现无线通信系统中的各种功能的一种通信技术，近年来获得了较大的发展。本文分别介绍软件无线电的关键技术、评价标准和发展过程，并对软件无线电的技术前景做了展望。     

一种2π视场高分辨热等离子体分析仪设计与仿真

针对空间热等离子探测中大通量动态范围、宽视场和高分辨率的需求,以带顶盖球形静电分析器为基础设计了2π视场热等离子体分析仪(Hot plasma analyzer, HPA),探测性能得到显著提升。通过优化球形剖面视场偏转系统以及粒子光学系统,实现对热等离子体的2π视场高角度分辨率探测,可探测能量范围覆盖50 eV~20 keV,能量分辨率优于10%。利用顶盖电压控制方式实现几何因子在两个量级内连续可调,可以满足对太阳风和磁层热等离子体的全空间高分辨探测需求。     

Studies of electron and ion temperatures at 500 km altitude during sunrise using Indian SROSS C2 satellite

Solar dependence of electron and ion temperatures (T_e and T_i) in the ionosphere is studied using RPA data onboard SROSS C2 at an altitude of ∼500 km and 77°E longitude during early morning hours (04:00–07:00 LT) for three solar activities: solar minimum, moderate and maximum during winter, summer and equinox months in 10°S–20°N geomagnetic latitude. In winter the morning overshoot phenomenon is observed around 06:00 LT (T_e enhances to ∼4000 K) during low-solar activity and to T_e ∼ 3800 K, during higher solar activity. In summer, it is observed around 05:30 LT, but the rate of T_e enhancement is higher during moderate solar activity (∼2700 K/hr) than the low-solar activity (∼1700 K/hr). During equinox, this phenomenon is delayed and is observed around 06:00 LT (∼4200 K) during all three activities.     

An evaluation of the IRI-2007 storm time model at low latitude stations

This paper discusses the ability of the International Reference Ionosphere IRI-2007 storm time model to predict foF2 ionospheric parameter during geomagnetic storm periods. Experimental data (based on availability) from two low latitude stations: Vanimo (geographic coordinates, 2.7 °S, 141.3 °E, magnetic coordinates, 12.3 °S, 212.50 °E) and Darwin (geographic coordinates, 12.45 °S, 130.95 °E, magnetic coordinates, 22.9 °S, 202.7 °E) during nine storms that occurred in 2000 (Rz₁₂ = 119), 2001(Rz₁₂ = 111) and 2003 (Rz₁₂ = 64) are compared with those obtained by the IRI-2007 storm model. The results obtained show that the percentage deviation between the experimental and IRI predicted foF2 values during these storm periods is as high as 100% during the main and recovery phases. Based on the values of “relative deviation module mean” (RDMM) obtained (i.e. between 0.08 and 0.60), it is observed that there is a reasonable to poor agreement between measured foF2 values and the IRI-storm model prediction values during main and recovery phases of the storms under investigation. As a result, in addition to other studies that have been carried out from different sectors, more studies are required to be carried out. This will enable IRI community to improve on the present performance of the model. In general the IRI-storm model predictions follow normal trend of the foF2 measured values but does not reproduce well the measured values.     

Statistical properties of variability of the quiet ionosphere F2-layer maximum parameters over Irkutsk under low solar activity

The statistical analysis of the quiet ionosphere F2-layer maximum parameters variability (deviations of NmF2 and hmF2 from the quiet medians, δn and Δh) under solar minimum at day (10–16 LT) and night (22–04 LT) hours based on data of Irkutsk station for 2007–2010 is presented. It is found that the experimental distribution (histogram) of δn can be approximated by a mixture of two normal distributions. The first and second components of the mixture characterize, mainly, relatively weak and strong fluctuations of δn which are presumably associated with the ionospheric effects of the atmospheric gravity waves and of the planetary waves and tides correspondingly. Deviation of the δn histogram from a single normal distribution is most considerable at night hours in winter and equinoxes. For these conditions the weak fluctuations of δn are mainly negative and the strong ones are mainly positive. The Δh histogram is a normal distribution except day hours in winter and equinoxes when a weak deviation of the histogram from the normal distribution occurs.     

On the application of Exploratory Data Analysis for characterization of space weather data sets

This paper presents an overview of the mathematical foundations for techniques in Exploratory Data Analysis (EDA) for the purpose of investigating the relationships among the numerous variables in large sets of multivariate space weather data. Specifically, we cover techniques in Principal Components Analysis (PCA) and Common Factor Analysis (CFA). These techniques are illustrated using space weather activity indices collected during the year 2002 and the corresponding noon-time hmF2 data from the International Reference Ionosphere (IRI). A CFA is used to categorize the activity indices, and a PCA is used to derive two macro-indices of activity to ascertain the strength of solar and geomagnetic activity. These macro-indices are then used to compare and contrast IRI’s noon-time hmF2 values at six different geographic stations. It was found that the correlation between hmF2 and the macro-indices more accurately represented the variation of this correlation with latitude found in previous studies than if we used an isolated conventional index, such as SSN and AE. We also found that the daily maximum value of the Polar Cap Index was dependent on both solar and geomagnetic activity, but the closely-related cross-Polar Cap Potential was solely associated with elevated levels of geomagnetic activity, which is a unique result compared to previous studies. We argue that the discrepancy can be explained by the difference in experiment designs between the two studies. This paper demonstrates the usefulness of EDA in space weather studies of large multivariate data sets.