大气湍流对天文望远镜光电导行精度的影响

讨论了由大气湍流造成的望远镜导行误差,这一误差将给望远镜光电导行的精度带来较大影响。其中使用单点源目标的导行精度受限于大气相干长度和大气相干时间,而多点源目标及面源的导行精度还与湍流随高度的变化有关。通过分析和仿真(数值模拟)结果表明,现代天文观测必须考虑大气湍流对光电导行精度的影响。通过延长曝光时间可以有效降低湍流大气的影响,同时也降低了光电导行的反馈控制频率。当导行信标为多星或面源则可在一定程度上降低高层大气湍流带来的光电导行误差,从而可以适度减少光电导行曝光时间,提高其反馈控制频率。     

Excited state tracking during the relaxation of coordination compounds

The ability to locate minima on electronic excited states (ESs) potential energy surfaces both in the case of bright and dark states is crucial for a full understanding of photochemical reactions. This task has become a standard practice for small- to medium-sized organic chromophores thanks to the constant developments in the field of computational photochemistry. However, this remains a very challenging effort when it comes to the optimization of ESs of transition metal complexes (TMCs), not only due to the presence of several electronic ESs close in energy, but also due to the complex nature of the ESs involved. In this article, we present a simple yet powerful method to follow an ES of interest during a structural optimization in the case of TMCs, based on the use of a compact hole-particle representation of the electronic transition, namely the natural transition orbitals (NTOs). State tracking using NTOs is unambiguously accomplished by computing the mono-electronic wave function overlap between consecutive steps of the optimization. Here, we demonstrate that this simple but robust procedure works not only in the case of the cytosine but also in the case of the ES optimization of a ruthenium nitrosyl complex which is very problematic with standard approaches. © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc.     

Sensitive and automated detection of iron-oxide-labeled cells using phase image cross-correlation analysis

Superparamagnetic iron oxide (SPIO) nanoparticles are increasingly being used to noninvasively track cells, target specific molecules and monitor gene expression in vivo. Contrast changes that are subtle relative to intrinsic sources of contrast present a significant detection challenge. Here, we describe a postprocessing algorithm, called Phase map cross-correlation Detection and Quantification (PDQ), with the purpose of automating identification and quantification of localized accumulations of SPIO agents. The method is designed to sacrifice little flexibility - it works on previously acquired data and allows the use of conventional high-SNR pulse sequences with no extra scan time. We first investigated the theoretical detection limits of PDQ using a simulated dipole field. This method was then applied to three-dimensional (3D) MRI data sets of agarose gel containing isolated dipoles and ex vivo transplanted allogenic rat hearts infiltrated by numerous iron-oxide-labeled macrophages as a result of organ rejection. A simulated dipole field showed this method to be robust in very low signal-to-noise ratio images. Analysis of agarose gel and allogenic rat heart shows that this method can automatically identify and count dipoles while visualizing their biodistribution in 3D renderings. In the heart, this information was used to calculate a quantitative index that may indicate its degree of cellular infiltration.     

新型动态多光学目标模拟装置研究

介绍了多光学系统观测平台的检测方法现状,列举了现有检测用光电靶标的局限性。叙述了动态光学靶标的功能原理,提出一种新的检测设备,即双光源动态光电目标模拟装置的设计方案。并对其进行了理论分析和可行性论证。着重对坐标变换过程进行了演算,证明基准转换的正确性。结合理论基础和现有的工程设计经验,论述了该新型双光源动态光电目标模拟装置的工程化设计方案。最后对该设计方案的最终精度进行了分析,验证了该设计方案可以满足多光学系统观测平台的综合检测和标定需求。     

一种目标区域最佳椭圆描述方法

目标的最佳描述区域对于建立目标特征、目标跟踪、目标轮廓求取具有非常重要的意义。针对这类问题,提出了一种目标区域最佳椭圆描述确定方法。新方法首先根据目标和背景的差别确定出目标区域,然后利用尺度空间理论计算出目标的最佳椭圆描述。实验表明：新算法可以有效、准确地确定出目标包含区域的大小和方向。     

Shape morphing and topology optimization of fluid channels by explicit boundary tracking

An integrated shape morphing and topology optimization approach based on the deformable simplicial complex methodology is developed to address Stokes and Navier‐Stokes flow problems. The optimized geometry is interpreted by a set of piecewise linear curves embedded in a well‐formed triangular mesh, resulting in a physically well‐defined interface between fluid and impermeable regions. The shape evolution is realized by deforming the curves while maintaining a high‐quality mesh through adaption of the mesh near the structural boundary, rather than performing global remeshing. Topological changes are allowed through hole merging or splitting of islands. The finite element discretization used provides smooth and stable optimized boundaries for simple energy dissipation objectives. However, for more advanced problems, boundary oscillations are observed due to conflicts between the objective function and the minimum length scale imposed by the meshing algorithm. A surface regularization scheme is introduced to circumvent this issue, which is specifically tailored for the deformable simplicial complex approach. In contrast to other filter‐based regularization techniques, the scheme does not introduce additional control variables, and at the same time, it is based on a rigorous sensitivity analysis. Several numerical examples are presented to demonstrate the applicability of the approach.     

数字全息视频成像技术及其在肝吸虫尾蚴观测中的应用

由于传统的显微镜成像需要精确的光学聚焦过程,很难检测到在水体中运动的肝吸虫尾蚴,更难以对其进行连续的动态观测.针对此问题,提出了利用单光束同轴数字全息视频技术对在水体中运动的肝吸虫尾蚴进行连续动态观测的方法,研究了其中的动态跟踪聚焦算法和视频处理算法.利用上一帧再现像中尾蚴的中心位置作为下一帧全息再现中聚焦窗口的中心位置,使聚焦窗口始终跟随观测的尾蚴移动,从而保证处理全息视频时每一帧再现像都能准确自动聚焦,使再现视频中肝吸虫尾蚴始终处于清晰状态.进行了肝吸虫尾蚴观测实验,得到肝吸虫尾蚴在水体中运动的全息再现视频,并对其运动轨迹进行了跟踪,总结了肝吸虫尾蚴在水体中的运动规律.实验结果表明,利用数字全息技术拍摄一张数字全息图即可观察到水体中不同位置的肝吸虫尾蚴,检测更加方便高效;本文提出的数字全息视频成像技术能实现对水体中的肝吸虫尾蚴或其它浮游生物进行连续动态观测.     

Topic tracking with Bayesian belief network

The task of topic tracking is to monitor a stream of stories and find all subsequent stories that discuss the same topic. Using Bayesian belief network we give three topic tracking models: a static topic model BSTM and two dynamic topic models BDTM-I, BDTM-II. BDTM-II merges the advantages of BSTM and BDTM-I, has better tracking performance than the former two, and effectively alleviates topic drift phenomenon. Applying unrelated coming stories to update BDTM-I and BDTM-II can filter noises existed in topics. Experiments on TDT corpora show that BSTM decreases (C_det)_norm by 5.5% comparing to VSM, BDTM-II decreases (C_det)_norm by 6.3% and 6.0% comparing to BSTM and BDTM-I respectively, using unrelated stories can improve the tracking performance.