scholarly journals Can we constrain the evolution of HI bias using configuration entropy?

2021 ◽  
Vol 21 (2) ◽  
pp. 035
Author(s):  
Biswajit Das ◽  
Biswajit Pandey
Keyword(s):  
Configuration Entropy

Change in inter-atomic communication character in the formation of solid and liquid solutions. Relationship of vibrational and configuration entropy and their physical interpretation

2021 ◽  
pp. 28-40
Author(s):  
A. M. Savchenko ◽  
Yu. V. Konovalov ◽  
A. V. Laushkin
Keyword(s):  
Heat Capacity ◽  
Heat Release ◽  
Latent Heat ◽  
Physical Interpretation ◽  
Latent Heat Release ◽  
Statistical Entropy ◽  
Average Heat ◽  
Configuration Entropy ◽  
Liquid Solutions ◽  
Relationship Of

The purpose of this work is to show that during mixing, two hidden (latent) processes proceed simultaneously and compensate each other: the first initiates an increase in the average heat capacity, equal in magnitude to the entropy of mixing, which requires energy absorption to ensure a constant temperature, the second initiates simultaneous latent heat release by strengthening interatomic bonds. The passage of these two processes during mixing shows the identity of the vibrational and configurational (statistical) entropy.

Few-Parameter Equation of State of the Shock Adiabat with Allowance for Melting

2008 ◽  
Vol 3 (4) ◽  
pp. 52-63
Author(s):  
Evgeny I. Kraus
Keyword(s):  
Solid State ◽  
Equation Of State ◽  
Temperature Dependence ◽  
Thermodynamic Functions ◽  
Melting Curve ◽  
Shock Adiabat ◽  
Elastic Component ◽  
Configuration Entropy ◽  
Model Equations ◽  
State Body

The model equations for thermodynamic functions of liquid status based on volume and temperature dependence of Gruneisen coefficient are offered. Thermal components are described by the Debye’s model. Despite the perfect analogy to solid-state body the distinction in an elastic component of energy and pressures is taken into consideration when deriving the equations. The configuration entropy is embedded into thermodynamic functions of liquid. It describes a disorderliness measure of liquid and results in the final values of the entropy when temperature formally amounts to zero. The melting curve as the boundary between phases is constructed.

ENTROPIC AND MULTIFRACTAL ANALYSIS OF DISORDERED MORPHOLOGIES

Fractals ◽  
1993 ◽  
Vol 01 (03) ◽  
pp. 671-679 ◽  
Author(s):  
A. BEGHDADI ◽  
C. ANDRAUD ◽  
J. LAFAIT ◽  
J. PEIRO ◽  
M. PERREAU
Keyword(s):  
Multifractal Analysis ◽  
Characteristic Length ◽  
Finite Size ◽  
Morphological Parameter ◽  
Efficient Tool ◽  
Optimum Length ◽  
Maximum Information ◽  
Configuration Entropy ◽  
Simulated Images

We propose the configuration entropy as an efficient tool of characterization of the disorder of random morphologies and as a pertinent morphological parameter for describing the optical properties. When increasing the size of observation of an image, it undergoes a maximum at a characteristic length which is the optimum length at which the image must be observed to get the maximum information. When applied to computer simulated images, the configuration entropy is more powerful, less ambiguous and less sensitive to the finite size of images than the generalized fractal dimension.

Sign in / Sign up

Export Citation Format

Share Document