Turbulence revealed by wavelet transform: power spectrum and intermittency for the velocity field of the cosmic baryonic fluid
Yun Wang, Ping He

TL;DR
This study applies wavelet transform techniques to analyze turbulence in cosmic baryonic fluid, revealing characteristic scales, intermittency, and environmental dependence of turbulence properties using simulation data.
Contribution
It introduces wavelet-based statistical analysis to characterize turbulence scales, intermittency, and environmental effects in cosmic fluid velocity fields.
Findings
Identification of integral and dissipation scales of turbulence.
Cosmic fluid becomes more intermittent at smaller scales.
Turbulence is more intense in high-density environments.
Abstract
We use continuous wavelet transform techniques to construct the global and environment-dependent wavelet statistics, such as energy spectrum and kurtosis, to study the fluctuation and intermittency of the turbulent motion in the cosmic fluid velocity field with the IllustrisTNG simulation data. We find that the peak scale of the energy spectrum define a characteristic scale, which can be regarded as the integral scale of turbulence, and the Nyquist wavenumber can be regarded as the dissipation scale. With these two characteristic scales, the energy spectrum can be divided into the energy-containing range, the inertial range and the dissipation range of turbulence. The wavelet kurtosis is an increasing function of the wavenumber , first grows rapidly then slowly with , indicating that the cosmic fluid becomes increasingly intermittent with . In the energy-containing range, the…
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Taxonomy
TopicsCosmology and Gravitation Theories · Geophysics and Gravity Measurements · Computational Physics and Python Applications
