地球科学研究数据的分类与组织研究

科学数据是重要的科技资源,科学数据的共享管理日益成为学术界和政府关注的前沿领域。地球科学门类众多,研究对象复杂且往往时空尺度大,在此过程中产生了大量数据结构形式各异的数据,诸如图型数据、表格数据、文本数据、影像数据等等。在数据库系统环境下如何对这些异构的数据进行存储、发布、显示是科学数据管理必须首先面对的问题。在分析研究地球科学数据特征的基础上,结合黄土高原数据中心的建设实践,以科学数据共享管理为目标,对地球科学研究数据的分类和组织进行了研究。阐述了地球科学研究数据的异构性、密集性、复合性等基本属性和特征,提出了关系类型、空间类型、文件类型等3种基本类型的数据集分类和组织方式,并提出了整编数据集的基本原则和方法以及科学数据分级、保护、共享的方式。实践表明:该数据分类与组织技术方案符合地球科学研究数据的特点,并将科学数据管理与计算机网络技术、信息技术有机结合,具有思路与技术的先进性和广泛的应用场合。

EFFECT OF IMAGE FORCES ON ELECTRONS CONFINED IN LOW-DIMENSIONAL STRUCTURES UNDER A MAGNETIC-FIELD

We consider the effect of image forces, arising due to a difference in dielectric permeabilities of the well layer and barrier layers, on the energy spectrum of an electron confined in a rectangular potential well under a magnetic field. Depending on the value and the sign of the dielectric mismatch, image forces can localize electrons near the interfaces of the well or in well centre and change the direct intersubband gaps into indirect ones. These effects can be controlled by variation of the magnetic field, offering possibilities for exact tuning of electronic devices.

Pulse Compression by Filamentation in Argon with an Acoustic Optical Programmable Dispersive Filter for Predispersion Compensation

We have experimentally demonstrated pulses 0.4 mJ in duration smaller than 12 fs with an excellent spatial beam profile by self-guided propagation in argon. The original 52 fs pulses from the chirped pulsed amplification laser system are first precompressed to 32 fs by inserting an acoustic optical programmable dispersive filter instrument into the laser system for spectrum reshaping and dispersion compensation, and the pulse spectrum is subsequently broadened by filamentation in an argon cell. By using chirped mirrors for post-dispersion compensation, the pulses are successfully compressed to smaller than 12 fs.

Improved digital processing method used for image motion measurement based on hybrid opto-digital joint transform correlator

Hybrid opto-digital joint transform correlator (HODJTC) is effective for image motion measurement, but it is different from the traditional joint transform correlator because it only has one optical transform and the joint power spectrum is directly input into a digital processing unit to compute the image shift. The local cross-correlation image can be directly obtained by adopting a local Fourier transform operator. After the pixel-level location of cross-correlation peak is initially obtained, the up-sampling technique is introduced to relocate the peak in even higher accuracy. With signal-to-noise ratio >= 20 dB, up-sampling factor k >= 10 and the maximum image shift <= 60 pixels, the root-mean-square error of motion measurement accuracy can be controlled below 0.05 pixels.