改性双基推进剂老化燃烧性能实验研究

用Ｘ射线实时荧屏分析系统对人工加速老化的改性双基推进剂的燃烧性能进行试验研究,结果表明,人工加速老化对双基推进剂的燃速影响不大,但对推进剂的装药结构性能有较大影响。试验发现在７０°Ｃ的老化温度下２４天后,推进剂的结构破坏导致异常燃烧现象明显,辅助试验表明,６０°Ｃ９０天可以认为是该种推进剂的安全界限     

Energetic particles at high latitudes

We review work on diffusion coefficients of energetic particles with an attempt to extract implications on their behaviour at high latitudes. In the ecliptic plane results from solar energetic particle propagation between the Sun and about 5 AU can be described by an effective radial mean free path _r which is approximately constant as a function of distancer. When particle propagation in three dimensions in the heliosphere is considered it is not sufficient to consider _r only. Jovian electrons can be used as probes to determine the parameters of three-dimensional diffusion. In the polar regions diffusion is dominated by its parallel component. Some predictions how should vary with latitude are discussed. For different choices of this variation we present expectations for intensity-time profiles of solar particle events during the Ulysses polar passages.     

基于蒙特卡罗法辐射传递系数的统计分析

文章基于蒙特卡罗方法定义了表面热辐射换热辐射传递系数的表达式,确定其概率分布和置信度水平并进行统计分析。推导封闭腔内辐射传递系数的相对和绝对误差公式,为求解辐射传递系数所需追踪射线数量提供参考依据。     

基于射线追踪的快速雷达图像仿真方法

为了解决目标识别、隐身目标设计等研究领域对雷达图像需求日益增加的问题,提出了一种基于射线追踪的快速雷达图像仿真方法。该方法利用射线追踪计算每一个射线管的散射电场及其在雷达成像平面的投影坐标,通过将所有射线管的贡献在像域进行累加得到1幅二维雷达图像。通过对不同路径射线的聚类,可实现对散射贡献的分离,从而建立目标部件与强散射源的对应关系,并对复杂目标雷达图像进行解释。给出了Slicy目标的快速雷达图像仿真与算例分析,分析结果表明:基于射线追踪的快速雷达图像仿真方法可对复杂雷达图像进行有效预测,并能对强散射源进行成因分析。     

高能电子对地球同步轨道卫星的影响分析

为了厘清在轨GEO(Geosynchronous Earth Orbit,地球同步轨道)卫星不时出现异常的原因,提高卫星执行任务的可靠性,首先从机理上介绍了空间环境中的地球辐射带及高能电子的情况,引出GEO卫星所处恶劣空间环境的现实;其次基于我国SEPC(Space Environment Prediction Center,国家空间环境预报中心)以及NSMC(National Satellite Meteorological Center,国家卫星气象中心)的空间环境月报资料,结合某GEO环境业务卫星故障的实际数据,经统计归纳,分析得出了地球辐射带中的高能电子是导致GEO卫星发生故障的主要原因;最后按照事例技术分析、常规按需预报和特殊情况下的实时预报等3个层次对高能电子预报方法进行了初步探讨。通过分析可以看出,为提高卫星完成任务的可靠性、降低长期管理风险,需要加强GEO卫星所处空间环境高能电子的预报工作。     

Time-dependent cosmic ray modulation

Time-dependent cosmic ray modulation is calculated over multiple solar cycles using our well established two-dimensional time-dependent modulation model. Results are compared to Voyager 1, Ulysses and IMP cosmic ray observations to establish compatibility. A time-dependence in the diffusion and drift coefficients, implicitly contained in recent expressions derived by , ,  and , is incorporated into the cosmic ray modulation model. This results in calculations which are compatible with spacecraft observations on a global scale over consecutive solar cycles. This approach compares well to the successful compound approach of Ferreira and Potgieter (2004). For both these approaches the magnetic field magnitude, variance of the field and current sheet tilt angle values observed at Earth are transported time-dependently into the outer heliosphere. However, when results are compared to observations for extreme solar maximum, the computed step-like modulation is not as pronounced as observed. This indicates that some additional merging of these structures into more pronounced modulation barriers along the way is needed.     

Median filtering algorithms for multichannel detectors

Particle detectors of worldwide networks are continuously measuring various secondary particle fluxes incident on Earth surface. At the Aragats Space Environmental Center (ASEC), the data of 12 cosmic ray particle detectors with a total of ∼280 measuring channels (count rates of electrons, muons and neutrons channels) are sent each minute via wireless bridges to a MySQL database. These time series are used for the different tasks of off-line physical analysis and for online forewarning services. Usually long time series contain several types of errors (gaps due to failures of high or low voltage power supply, spurious spikes due to radio interferences, abrupt changes of mean values of several channels or/and slowly trends in mean values due to aging of electronics components, etc.). To avoid erroneous physical inference and false alarms of alerting systems we introduce offline and online filters to “purify” multiple time-series. In the presented paper we classify possible mistakes in time series and introduce median filtering algorithms for online and off-line “purification” of multiple time-series.     

Fast Probabilistic Particle Identification algorithm using silicon strip detectors

Active detectors used as radiation monitors in space are not usually able to perform Particle Identification (PID). Common techniques need energy loss spectra with high statistics to estimate ion abundances. The ALTEA-space detector system is a set of silicon strip particle telescopes monitoring the radiation environment on board the International Space Station since July 2006 with real-time telemetry capabilities. Its large geometrical factor due to the concurrent use of six detectors permits the acquisition of good energy loss spectra even in a short period of observation. In this paper we present a novel Fast Probabilistic Particle Identification (FPPI) algorithm developed for the ALTEA data analysis in order to perform nuclear identification with low statistics and, with some limitations, also in real time.     

Solar cycle variation of “killer” electrons at geosynchronous orbit and electron flux correlation with the solar wind parameters and ULF waves intensity

To construct models for hazard prediction from radiation belt particles to satellite electronics, one should know temporal behavior of the particle fluxes. We analyzed 11-year variation in relativistic electron flux (E>2 MeV) at geosynchronous orbit using measurements made by GOES satellites during the 23rd sunspot cycle. As it is believed that electron flux enhancements are connected with the high-speed solar wind streams and ULF or/and VLF activity in the magnetosphere, we studied also solar cycle changes in rank order cross-correlation of the outer radiation belt electron flux with the solar wind speed and both interplanetary and on-ground wave intensity. Data from magnetometers and plasma sensors onboard the spacecraft ACE and WIND, as well as magnetic measurements at two mid-latitude diametrically opposite INTERMAGNET observatories were used. Results obtained show that average value of relativistic electron flux at the decay and minimum phases of solar activity is one order higher than the flux during maximum sunspot activity. Of all solar wind parameters, only solar wind speed variation has significant correlation with changes in relativistic electron flux, taking the lead over the latter by 2 days. Variations in ULF amplitude advance changes in electron flux by 3 days. Results of the above study may be of interest for model makers developing forecast algorithms.     

Solar modulation model with reentrant particles

We developed a one dimensional model of particle transport in the heliosphere. As opposite to widely used models, we apply a method where a quasi-particle is traced back in time. The model gives us the possibility to work on the possible existence of reentrant particles in the heliosphere that can be hardly solved by the traditional forward tracking method. Particles escape from the heliosphere and may reenter back. We estimate how these particles affect the modulation process in the heliosphere. Presented here are the results for different values of particles mean free path in the interstellar space and for different interstellar magnetic field values.