RATAN-600 and RadioAstron reveal the neutrino-associated blazar TXS 0506+056 as a typical variable AGN

The possible association with the high-energy neutrino event IceCube-170922A has sparked interest in the blazar TXS 0506+056. We present 72 instantaneous 1–22 GHz spectra measured over the past 20 years with the RATAN-600 telescope and compare them with the results of observations of 700 variable Active Galactic Nuclei (AGN) studied within the same program. The recent radio flare of TXS 0506+056 started from a minimum in 2013 and reached its first peak in December 2017 and a second peak in May-June 2018. This was the third strong radio flare in this source since 1997. The spectrum remains nearly flat during the flares. The spectral shape and variability pattern observed in TXS 0506+056 are typical for variable AGN. RadioAstron Space VLBI observations in 2013–2015 did not detect TXS 0506+056 on space-ground baselines of more than 9 Earth diameters. However, an observation on 23 September 2015 resulted in the detection of interferometric signal on 6 Earth diameter baselines at 18 cm close to the detection limit. We consider the possibility that TXS 0506+056 and other AGN may accelerate relativistic protons more efficiently than electrons. Relativistic protons are necessary to produce both the high-energy neutrinos observed in the IceCube Observatory and the high AGN brightness temperatures implied by the RadioAstron detection. They may also provide the main contribution to the observed synchrotron radiation of parsec-scale AGN jets. This supports the suggestion that relativistic protons may play a much more important part in extragalactic astrophysics than earlier anticipated.     

Bayesian network-based extraction of lunar impact craters from optical images and DEM data

Impact craters are among the most noticeable geomorphological features on the planetary surface and yield significant information about terrain evolution and the history of the solar system. Thus, the recognition of impact craters is an important branch of modern planetary studies. Aiming at addressing problems associated with the insufficient and inaccurate detection of lunar impact craters, a decision fusion method within the Bayesian network (BN) framework is developed in this paper to handle multi-source information from both optical images and associated digital elevation model (DEM) data. First, we implement the edge-based method for efficiently searching crater candidates which are the image patches that can potentially contain impact craters. Secondly, the multi-source representations of an impact crater derived from both optical images and DEM data are proposed and constructed to quantitatively describe the two-dimensional (2D) and three-dimensional (3D) morphology, consisting of Histogram of Oriented Gradient (HOG), Histogram of Multi-scale Slope (HMS) and Histogram of Multi-scale Aspect (HMA). Finally, a BN-based framework integrates the multi-source representations of impact craters, which can provide reductant and complementary information, for distinguishing craters from non-craters. To evaluate the effectiveness and robustness of the proposed method, experiments were conducted on three lunar scenes using both orthoimages from the Lunar Reconnaissance Orbiter (LRO) and DEM data acquired by the Lunar Orbiter Laser Altimeter (LOLA). Experimental results demonstrate that integrating optical images with DEM data significantly decreases the number of false positives compared with using optical images alone, with F₁-score of 84.8% on average. Moreover, compared with other existing fusion methods, our proposed method was quite advantageous especially for the detection of small-scale craters with diameters less than 1000 m.     

Characterizing space debris longitude-dependent distribution based on RAAN perturbation rate

The space debris environment is one of the major threats against payloads. Space debris orbital distribution is of great importance for space debris environment modeling. Due to perturbation factors, the Right Ascension of Ascending Node (RAAN) of space objects changes consistently, causing regular rotation of the orbit plane around Earth’s axis. Based on the investigation of the RAAN perturbation rate of concerned objects, this paper proposes a RAAN discretization method in order to present the space debris longitude-dependent distribution. Combined with two line element (TLE) data provided by the US Space Surveillance Network, the estimated value from RAAN discretization method is compared with the real case. The results suggest that using only the initial orbital data at the beginning of the time interval of interest, the RAAN discretization method is able to provide reliable longitude distribution of concerned targets in the next following period. Furthermore, spacecraft cumulative flux against space debris is calculated in this paper. The results suggest that the relevance between spacecraft RAAN setup and flux output is much smaller for LEO targets than MEO targets, which corresponds with the theory analysis. Since the nonspherical perturbation is the major factor for RAAN variation, the RAAN perturbation rate has little connection with the size of orbital objects. In other words, the RAAN discretization method introduced in this paper also applies to space debris of different size range, proposing a possible suggestion for the improvement of space debris environment engineering models.     

非圆等距型面轮廓X-C轴联动高速磨削试验北大核心CSCD

针对非圆等距型面轮廓磨削加工存在表面质量差的问题,建立基于恒磨除率X-C轴联动磨削理论模型。选用陶瓷CBN砂轮进行三弧段非圆等距型面轮廓的高速磨削正交试验,探究砂轮线速度、工件速度和磨削深度对磨削比能、切向磨削力、磨削温度、表面粗糙度的影响规律。分析表明,砂轮线速度对切向磨削力、表面形貌的影响最大,磨削深度对磨削比能、磨削温度、表面粗糙度的影响最大。进行表面形貌观测未探测到明显的磨削烧伤区域,证明恒磨除率X-C轴联动磨削方式可用于非圆等距型面轮廓磨削加工。     

钛合金TC4的超硬磨料柔性抛光轮数控抛光试验研究

航空发动机叶片钛合金材料在数控磨抛加工中容易发生烧伤及黏附现象,针对常用的TC4材料开展了超硬磨料柔性抛光轮数控抛光试验研究。分析了超硬磨料柔性抛光轮抛光参数中转速、进给速度、预压量及行距对抛光去除深度及抛光后试件表面粗糙度的影响规律并通过正交试验分析了各抛光参数影响的主次关系。确认了钛合金试件抛光表面黏附物质成分,并同时分析了表面黏附物的形成原理。给出了TC4钛合金材料在超硬磨料柔性抛光轮数控抛光过程中工艺参数的选择策略,为TC4材料的航空发动机叶片和整体叶盘在超硬磨料柔性抛光轮数控抛光过程中提供理论依据和技术基础。     

干涉SAR图像的降噪方法及水平地形效应消除

考察不同滤波器抑制干涉SAR(Synthetic Aperture Radar)图像噪声的效果.为有效地使用低通滤波处理,首先对原始干涉图像进行水平地形效应消除,保证图像信号频率的中心在零频处,降低由干涉SAR系统几何结构引起的信号频率偏移对滤波效果的影响.同时水平地形效应消除后的干涉SAR相位图可直观地反映地形的拓扑结构.实际数据处理结果证明本文提出的水平地形效应消除算法及滤波算法的可行性及有效性.      

一种模块级可降级重组双机系统的系统管理程序实现方法

分析了模块级可降级重组双机系统的有效组态数,并与双机系统级备份进行了比较。分析结果表明,随着冗余级别的降低,系统的可靠性有所改善,但系统的有效组态数将大大增加,这将导致系统管理程序的复杂化。文章介绍了该系统管理程序的设计准则,并对其中几个有特点的子程序作了简要说明。     

SMA 智能复合构件控制裂纹的数值与试验研究

将ＴｉＮｉ形状记忆合金（ＳＭＡ）薄带复合于基体材料内部,利用形状记忆合金的特性,可以控制构件裂纹的扩展。本文介绍了智能复合构件控制裂纹的机理,并利用拟温度载荷法,直接应用现有有限元程序对控制裂纹的ＳＭＡ智能复合构件进行了计算与分析,同时还进行了激光云纹干涉法试验测试。计算和试验结果表明智能复合构件中的记忆合金薄带对构件裂纹有显著的控制效果,同时计算和试验结果的一致性也表明本文的分析方法是可行的。     

柱状弹丸撞击防护屏形成碎片云材料状态特性研究

微流星体及空间碎片的高速撞击威胁着长寿命、大尺寸航天器的安全运行，导致其严重的损伤和灾难性的失效。为精确估计微流星体及空间碎片高速撞击防护屏所产生碎片云对舱壁的损伤，必须确定碎片云中三种状态材料的特性，建立了碎片云特性分析模型，分别计算了柱状弹丸撞击防护屏所产生碎片云以及碎片云中弹丸和防护屏材料三种状态物质的质量分布。通过计算分析可见，弹丸以不同速度撞击防护屏所产生碎片云三种状态物质的质量分布是不同的，速度增大，液化和气化增强，对靶件的损伤小。而在速度小于7km/s时，碎片云以固体碎片的形式存在，对靶件的损伤大。     

天基微小空间碎片探测研究

随着空间碎片数量的不断增多,天基微小空间碎片探测已经成为一个热点．首先介绍了空间碎片在低地球轨道上的分布情况以及它对于航天器的危害,然后介绍了国外微小碎片探测器的基本情况,并在这些探测结果的基础上提出了一个探测器方案．这种探测器的传感器采用了新型的压电材料聚偏二氟乙稀(PVDF),使用了飞行时间法(TOF)准确测定空间碎片的飞行速度,以及快脉冲分析系统分析碎片的质量．