Turbulence in virtual: Origin of the variance and skewness of density function
Xunchuan Liu

TL;DR
This paper develops a thermodynamic and cascading framework to explain the variance, skewness, and shape deviations of the gas density PDF in turbulent interstellar media, linking empirical relations to physical processes.
Contribution
It introduces a virtual dissipation model and convolution approach to derive the variance-Mach number relation and explain PDF skewness and tails in turbulent ISM.
Findings
Derived the variance-Mach number relation $\sigma^2 = \ln(1 + M)^2$.
Explained the origin of exponential tails and skewness in density PDFs.
Proposed physical interpretations for low- and high-density PDF kernels.
Abstract
Turbulence is a complex phenomenon that plays a critical role in the interstellar medium (ISM). Previous simulations and observations show that the probability density function (PDF) of gas density in isothermal and compressible systems under turbulence exhibits a near lognormal shape, with a strong empirical relation between the variance () and Mach number (). In this work, we aim to explain the - relation and the deviation from the lognormal shape from a thermodynamic and cascading perspective. By introducing a virtual dissipation process, during which turbulent entropy and structural dissipation are assumed to be coupled, we derive the empirical relation . Additionally, by introducing a delay parameter for the local gas temperature, we derive the deviation from the empirical relation at high . We further argue that the…
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