Vibrational distribution functions and relaxation rate in anharmonic-oscillator systems

1975 ◽  
Vol 15 (3) ◽  
pp. 297-304 ◽  
Author(s):  
B. F. Gordiets ◽  
Sh. S. Mamedov
Keyword(s):  
Relaxation Rate ◽  
Anharmonic Oscillator ◽  
Distribution Functions ◽  
Vibrational Distribution

Vibrational distribution functions in a mixture of excited isotopic CO molecules

1985 ◽  
Vol 92 (2-3) ◽  
pp. 401-416 ◽  
Author(s):  
R. Farrenq ◽  
C. Rossetti
Keyword(s):  
Distribution Functions ◽  
Vibrational Distribution

Control of vibrational distribution functions in nonequilibrium molecular plasmas and high-speed flows

2016 ◽  
Vol 26 (1) ◽  
pp. 014002 ◽  
Author(s):  
Kraig Frederickson ◽  
Yi-Chen Hung ◽  
Walter R Lempert ◽  
Igor V Adamovich
Keyword(s):  
High Speed ◽  
Distribution Functions ◽  
Vibrational Distribution ◽  
High Speed Flows

Nonequilibrium Vibrational Distribution Functions in Infrared Active Anharmonic Oscillators

1970 ◽  
Vol 52 (8) ◽  
pp. 4306-4307 ◽  
Author(s):  
C. A. Brau ◽  
G. E. Caledonia ◽  
R. E. Center
Keyword(s):  
Distribution Functions ◽  
Anharmonic Oscillators ◽  
Vibrational Distribution

Vibrational Distribution Functions in Anharmonic Oscillators

1971 ◽  
Vol 55 (2) ◽  
pp. 552-561 ◽  
Author(s):  
G. E. Caledonia ◽  
R. E. Center
Keyword(s):  
Distribution Functions ◽  
Anharmonic Oscillators ◽  
Vibrational Distribution

Computer processing of high-resolution images of periodic specimens

1986 ◽  
Vol 44 ◽  
pp. 2-5
Author(s):  
W. Chiu ◽  
M.F. Schmid ◽  
T.-W. Jeng
Keyword(s):  
High Resolution ◽  
Fourier Transforms ◽  
Complex Structure ◽  
Distribution Functions ◽  
Multiple Image ◽  
Cryo Electron Microscopy ◽  
Structure Factors ◽  
Unit Cells ◽  
High Resolution Images ◽  
Phase Probability Distribution

Cryo-electron microscopy has been developed to the point where one can image thin protein crystals to 3.5 Å resolution. In our study of the crotoxin complex crystal, we can confirm this structural resolution from optical diffractograms of the low dose images. To retrieve high resolution phases from images, we have to include as many unit cells as possible in order to detect the weak signals in the Fourier transforms of the image. Hayward and Stroud proposed to superimpose multiple image areas by combining phase probability distribution functions for each reflection. The reliability of their phase determination was evaluated in terms of a crystallographic “figure of merit”. Grant and co-workers used a different procedure to enhance the signals from multiple image areas by vector summation of the complex structure factors in reciprocal space.

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