Narrowband dm-spikes in the 2 GHz frequency range and MHD cascading waves in reconnection outflows

Two examples of clouds of narrowband dm-spikes, observed by the Ondejov radiospectrograph in the 1–2 GHz frequency range, are analyzed. After transformation of the frequency scales to distances in the solar atmosphere, the power spectra analysis of size scales reveals a spectral index of –5/3, resembling that of Kolmogorov spectra of turbulent cascades. The narrowband dm-spikes are interpreted as radio emission from electrons accelerated in MHD cascading waves, probably generated in plasma outflows from magnetic field reconnection.     

Spiral filaments — The signature of singular points in a large delta spot

A large delta spot (active region NOAA 6891, October 23 – November 4, 1991) is analysed, and it is found that some spiral filaments across the spot can be regarded as signatures of a singular point entity (SPE) which lies near a separator of this complicated magnetic field region. Near such an entity, 86% of the flares in the region were produced, including two white-light flares, one of which, being the largest flare of the region, was accompanied by a powerful mass ejection. In an island delta spot, a SPE could be recognized very close to the usual U-shaped inversion lines. Together with the other characteristics (bright H emission, highly sheared magnetic field, umbra obscured by H, magnetic flux imbalance in the range 21–31), the SPE can help us to predict effectively the sites for great flares to occur (Zirin and Liggett, 1987).On leaving from Purple Mountain Observatory, Nanjing, China.     

Matched field localization based on CS-MUSIC algorithm

The problem caused by shortness or excessiveness of snapshots and by coherent sources in underwater acoustic positioning is considered. A matched field localization algorithm based on CS-MUSIC (Compressive Sensing Multiple Signal Classification) is proposed based on the sparse mathematical model of the underwater positioning. The signal matrix is calculated through the SVD (Singular Value Decomposition) of the observation matrix. The observation matrix in the sparse mathematical model is replaced by the signal matrix, and a new concise sparse mathematical model is obtained, which means not only the scale of the localization problem but also the noise level is reduced; then the new sparse mathematical model is solved by the CS-MUSIC algorithm which is a combination of CS (Compressive Sensing) method and MUSIC (Multiple Signal Classification) method. The algorithm proposed in this paper can overcome effectively the difficulties caused by correlated sources and shortness of snapshots, and it can also reduce the time complexity and noise level of the localization problem by using the SVD of the observation matrix when the number of snapshots is large, which will be proved in this paper.     

含矿构造岩相带的地质-地球物理信息组合预测花岗岩外接触带型钨矿床——以内蒙古额济纳旗某探矿区为例

我国钨矿资源丰富,类型多样（盛继福等,2015）。从找矿历史来看,钨矿床主要是依靠地质露头和化探方法发现的,很少采用物探方法。本文研究的探矿区位于内蒙古额济纳旗某花岗岩基的东侧,处于荒漠戈壁覆盖区。地勘单位通过大比例尺土壤化探扫面,圈出了几个钨元素异常,施工的探槽在石英脉中发现了钨矿化。但针对含矿石英脉的多个钻探和槽探工程却找不到矿化体,导致普查工作陷入困境。