Study of Hexanitrohexaazaisowurtzitane Ion Dissociation Mechanisms Based on Mass-Analyzed Ion Kinetic Energy Spectrum

2005 ◽  
Vol 21 (6) ◽  
pp. 1069-1074 ◽  
Author(s):  
Hemiao Xiao ◽  
Rongjie Yang
Keyword(s):  
Energy Spectrum ◽  
Kinetic Energy ◽  
Ion Dissociation ◽  
Kinetic Energy Spectrum ◽  
Ion Kinetic Energy ◽  
Dissociation Mechanisms

Ion Kinetic Energy Spectrum (IKES)

2016 ◽  
Author(s):  
Kermit K. Murray ◽  
Robert K. Boyd ◽  
Marcos N. Eberlin ◽  
G. John Langley ◽  
Liang Li ◽  
...  
Keyword(s):  
Energy Spectrum ◽  
Kinetic Energy ◽  
Kinetic Energy Spectrum ◽  
Ion Kinetic Energy

scholarly journals Calculating Energy Spectra from Drifters

2016 ◽  
Author(s):  
Joseph H. LaCasce
Keyword(s):  
Energy Spectrum ◽  
Kinetic Energy ◽  
Structure Function ◽  
Two Dimensions ◽  
Longitudinal Structure ◽  
Kinetic Energy Spectrum ◽  
Longitudinal Structure Function ◽  
Large Pair ◽  
Non Local ◽  
Lagrangian Data

The relations between the kinetic energy spectrum and the second order longitudinal structure function in two dimensions are derived, and several examples are considered. The forward conversion (from spectrum to structure function) is illustrated first with idealized power law spectra, representing turbulent inertial ranges. The forward conversion is also applied to the zonal kinetic energy spectrum of Nastrom and Gage (1985) and the result agrees well with the longitudinal structure function of Lindborg (1999). The inverse conversion (from structure function to spectrum) is tested with data from 2D turbulence simulations. When applied to the theoretical structure function (derived from the forward conversion of the spectrum), the result closely resembles the original spectrum, except at the largest wavenumbers. However the inverse conversion is much less successful when applied to the structure function obtained from pairs of particles in the flow. This is because the inverse conversion favors large pair separations, which are typically noisy with particle data. Fitting the structure function to a polynomial improves the result, but not sufficiently to distinguish the correct inertial range dependencies. Furthermore the inversion of non-local spectra is largely unsuccessful. Thus it appears that focusing on structure functions with Lagrangian data is preferable to estimating spectra.

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