𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Dynamical properties of supracritical methane via correlation function analysis

✍ Scribed by F.G. Baglin; E.J. Rose


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
447 KB
Volume
210
Category
Article
ISSN
0009-2614

No coin nor oath required. For personal study only.

✦ Synopsis


We have recently examined the reorientational time correlation functions (CFs) arising from the previously discussed vI mode of methane. We found that the depolarization ratio behavior is tracked by the anisotropic Raman signal, including the discontinuity previously reported. We also are aware that these CFs may be distinct and therefore the signal shape will be a Gaussian or a Voigt function irrespective of density. If true, then the signals cannot be interpreted in terms of self-correlation functions. We have sought to confirm this by analyzing the resolved spectral components' influence on the line shape at "low" pressure.


πŸ“œ SIMILAR VOLUMES


Dynamical properties of colloidal system
✍ W. Hess; R. Klein πŸ“‚ Article πŸ“… 1979 πŸ› Elsevier Science 🌐 English βš– 1003 KB

For systems of interacting Brownian particles a Fokker-Planck equation is derived for the probability distribution function of the concentration fluctuations, using the assumption of a Gaussian static distribution function. The drift-and the diffusion term are determined by static correlation functi

Notes on the properties of correlation f
✍ F. Kandianis πŸ“‚ Article πŸ“… 1974 πŸ› Elsevier Science 🌐 English βš– 677 KB

The properties of the cross-correlation function of the excitation and response of a linear system are derived. In particular the cross-correlation function is examined when the force applied to the system is one of limited frequency bandwidth since in practice purely impulsive or random forces are

2-Point correlation function of nanostru
✍ Cedric J. Gommes; Heiner Friedrich; Petra E. de Jongh; Krijn P. de Jong πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 892 KB

Electron tomography is a unique technique for imaging the microstructure of materials with a nanometer resolution. The signal-tonoise ratio of electron tomograms is, however, often too low for a reliable segmentation-based image analysis. We derive a general relation between the grey-tone correlatio