湍流大气中光波闪烁的圆环孔径平均因子

利用弱起伏条件下球面波在大气湍流中传输的光强起伏(闪烁)理论和圆环孔径滤波函数,获得了圆环孔径平均因子的精确表达式。将圆环孔径平均因子关于一个无量纲参量(孔径半径与菲涅耳尺度的比值)拟合成2阶多项式,再找出多项式系数与孔径内外径之比的函数关系,获得了圆环孔径平均因子关于该参量和孔径内外径之比的函数关系式。通过误差分析确定了拟合关系式的适用范围,在此范围内,拟合式与精确式的相对误差小于25%。分别用Tatarskii谱和修正Hill谱分析了湍流内尺度对圆环孔径平均因子的影响,结果显示:在其他条件不变的情况下,内尺度越大,孔径平均效应相对越小。     

Long‐range analysis of density fitting in extended systems

Density fitting scheme is analyzed for the Coulomb problem in extended systems from the correctness of long‐range behavior point of view. We show that for the correct cancellation of divergent long‐range Coulomb terms it is crucial for the density fitting scheme to reproduce the overlap matrix exactly. It is demonstrated that from all possible fitting metric choices the Coulomb metric is the only one which inherently preserves the overlap matrix for infinite systems with translational periodicity. Moreover, we show that by a small additional effort any non‐Coulomb metric fit can be made overlap‐preserving as well. The problem is analyzed for both ordinary and Poisson basis set choices. © 2008 Wiley Periodicals, Inc. Int J Quantum Chem, 2008     

Inequalities for formal power series and entire functions

We present several integral and exponential inequalities for formal power series and for both arbitrary entire functions of exponential type and generalized Borel transforms. They are obtained through certain limit procedures which involve the multiparameter binomial inequalities, integral inequalities for continuous functions, and weighted norm inequalities for analytic functions. Some applications to the confluent hypergeometric functions, Bessel functions, Laguerre polynomials, and trigonometric functions are discussed. Also some generalizations are given.     

三角级数属于Ba空间的充分必要条件

该文给出了正弦级数和余弦级数在系数满足NBV条件时属于Ba空间的充分必要条件,所得结论 为Ba空间中的首个此类结果,同时也是对L_p空间中已有结论的本质性推广.     

Modeling structural recovery in glasses: An analysis of the peak‐shift method

Amorphous polymers below their glass‐transition temperature are inherently not at equilibrium. As a result, their structures continuously relax in an attempt to reach the equilibrium state. The current models of structural recovery can quantitatively describe the process. One of the parameters needed for the models is the nonlinearity parameter x. It has been proposed that x can be obtained from experimental data with the so‐called peak‐shift method. In this work, we use the Tool–Narayanaswamy–Moynihan model to identify the factors that determine the accuracy of the peak‐shift method and to quantify the errors in the value of x obtained from the peak‐shift method. In addition, we determine the influence of the error in x on the evaluation of the nonexponential model parameter β. Finally, the peak‐shift method is compared with the traditional curve‐fitting method for model parameter determination. © 2002 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys 40: 2027–2036, 2002     

普朗克常量测定系统中实验数据的采集和处理

介绍了在光电效应实验系统改造中，关于实验数据的采集和处理方法。     

Parameter estimation of ordinary differential equations

This paper addresses the development of a new algorithm forparameter estimation of ordinary differential equations. Here,we show that (1) the simultaneous approach combined with orthogonalcyclic reduction can be used to reduce the estimation problemto an optimization problem subject to a fixed number of equalityconstraints without the need for structural information to devisea stable embedding in the case of non-trivial dichotomy and(2) the Newton approximation of the Hessian information of theLagrangian function of the estimation problem should be usedin cases where hypothesized models are incorrect or only a limitedamount of sample data is available. A new algorithm is proposedwhich includes the use of the sequential quadratic programming(SQP) Gauss–Newton approximation but also encompassesthe SQP Newton approximation along with tests of when to usethis approximation. This composite approach relaxes the restrictionson the SQP Gauss–Newton approximation that the hypothesizedmodel should be correct and the sample data set large enough.This new algorithm has been tested on two standard problems.     

利用Matlab语言对物理实验数据进行处理

本文讨论利用Matlab语言通过最小二乘法对物理实验数据进行处理的优点。     

LPV identification of a turbocharged diesel engine

This work proposes a methodology of identifying linear parameter varying (LPV) models for nonlinear systems. First, linear local models in some operating points, by applying standard identifications procedures for linear systems in time domain, are obtained. Next, a LPV model with linear fractional dependence (LFR) with respect to measured variables is fitted with the condition of containing all the linear models identified in previous step (differential inclusion). The fit is carried out using nonlinear least squares algorithms. Finally, this identification methodology will then be applied to a nonlinear turbocharged diesel engine.     

基于非线性最小二乘法的多光谱拟合程序：应用于12CH4谱线参数分析

精确的甲烷分子实验光谱参数在大气科学和天文探测等领域有着广泛的应用,特别是谱线的展宽系数及其温度依赖系数对于甲烷分子浓度廓线的研究尤为重要。精密的实验测量是获得准确谱线参数的重要手段。采用实验测量获取谱线参数时,需要在已知实验条件（浓度,温度,总压力,吸收光程以及气体分子种类的混合比等）的情况下,多次扫描同一波段范围得到多组实验室吸收光谱,然后利用基于非线性最小二乘法的拟合程序处理这些光谱,反演获得所需要的光谱参数。然而,一般常用的单光谱拟合程序处理实验光谱既费时又容易引起拟合过程中的误差传递。针对此问题,采用最小二乘拟合技术和Levenberg-Marquardt迭代算法编写了一款适用于处理由可调谐半导体激光吸收光谱技术（TDLAS）所获得的吸收光谱的多光谱拟合程序。该程序可同时处理多张实验光谱,并基于全局拟合方法获得一套光谱参数。详细介绍了该程序的原理、使用方法及数据处理过程。利用多光谱拟合程序中的Voigt线型处理了2 958～2 959 cm-1波数内甲烷（12CH₄）分子6条跃迁谱线的实验光谱,获得了296.0,251.0,223.0,198.0和173.0 K共5组温度下12CH₄分子6条谱线的空气展宽系数。与之前文献报道的该波段内采用单光谱拟合程序得到的相应数据对比结果表明：获得的各温度下的空气展宽系数与参考文献中相应数据差值的百分比处在-4.97%~1.58%之间,两者数据整体符合较好,并且在30组对比数据中,有4组由单光谱拟合程序得到的空气展宽系数的误差值小于由多光谱拟合程序得到的相应数值,有2组数据显示由两种方法获得的误差值相等,其余24组由多光谱拟合程序获得的数据拟合误差小于由单光谱拟合程序获得的相应数值,表明多光谱拟合程序具有良好的可靠性,适用于气体分子吸收光谱的处理。