Results 221 to 230 of about 1,158,087 (267)
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Structure of correlation functions
Physical Review A, 1991Experimental determinations of correlation functions typically involve events of differing particle number. In order to interpret such data, it is important to relate these measurements to fixed-number correlations. We exhibit the total correlation function in terms of fixed {ital n} correlations and fluctuations with respect to the average.
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Clusterization of Correlation Functions
2017Using the Zhu recursion formulas for correlation functions for vertex operator algebras, we introduce a cluster algebra structure over a non-commutative set of variables.
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The “Harmonic” Rejecting Correlation Function
Multidimensional Systems and Signal Processing, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2006
In the previous chapter we have seen how spatial correlation functions express useful structural information about our system. This chapter focuses on time correlation functions that, as will be seen, convey important dynamical information. Time correlation functions will repeatedly appear in our future discussions of reduced descriptions of physical ...
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In the previous chapter we have seen how spatial correlation functions express useful structural information about our system. This chapter focuses on time correlation functions that, as will be seen, convey important dynamical information. Time correlation functions will repeatedly appear in our future discussions of reduced descriptions of physical ...
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The Velocity Correlation Function
1967Abstract The diffusion models described in Chapter 11 arc not valid for the shortperiod modes of single-particle motion, which will be discussed in this chapter through the velocity correlation function. This function relates the velocity of an atom at a time τ = 0, with its velocity at a later time.
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Correlation Functions and Correlation Lengths for Dry Snow
Journal of Electromagnetic Waves and Applications, 1998Correlation functions and correlation lengths for dry snow are studied. Several correlation function and correlation length models are compared with literature-based experimental values. The validity of these models for dry snow is examined. It is shown that the correlation function for dry snow has an exponential form.
W. Huining +2 more
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Simple but efficient correlation functional from a model pair-correlation function
Physical Review B, 1994A gradientless correlation functional is derived within the Kohn-Sham density-functional theory (DFT) based on a spin-polarized pair correlation function of Colle-Salvetti type. The functional involves explicitly only the antiparallel spin correlation while parallel-spin correlation is taken into account indirectly in a manner providing self ...
, Proynov, , Salahub
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Flavoproteins: Correlation of Structure and Function
1982The differences in properties among different flavoproteins and their differences from the free coenzymes have long intrigued workers in this field. For example, in the oxidized state, free flavins have an intense greenish yellow fluorescence, which is mostly quenched, sometimes partially, and often completely, on incorporation into a particular ...
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Ego Function as a Correlate of Addiction
The American Journal on Addictions, 2005Eighty‐nine substance abusers in an urban treatment facility completed the self‐report version of the Ego Function Assessment as well as the Addiction Severity Index. Statistical analyses delineate ego functions that relate to specific disruptions in the social and psychological adaptation of the substance abuser. Distinct profiles of ego functions are
Samuel, Juni, Joseph E, Stack
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2008
Abstract This chapter reviews the theory of correlation functions for classical Hamiltonian systems as a method for a statistical description of the dynamics. Mathematical tools are introduced, which provide a connection of the description in the time domain with that in the frequency domain.
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Abstract This chapter reviews the theory of correlation functions for classical Hamiltonian systems as a method for a statistical description of the dynamics. Mathematical tools are introduced, which provide a connection of the description in the time domain with that in the frequency domain.
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