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arXiv 2502.20006physics.flu-dynastro-ph.GAcond-mat.quant-gas
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自引力超流体中的湍流与大尺度结构

Turbulence and large-scale structures in self-gravitating superfluids

Sanjay Shukla

AI总结:

通过三维 GPP 方程直接数值模拟研究自引力超流体湍流,发现自引力诱导大尺度结构形成,并通过逆级联机制支持暗物质晕等结构的形成。

摘要:

我们通过执行三维 Gross-Pitaevskii-Poisson (GPP) 方程的直接数值模拟来研究自引力超流体中的湍流,该方程也是星系周围暗物质晕的模型。在无自引力的情况下,谱截断 Gross-Pitaevskii (GP) 方程在不可压缩动能谱中表现出 Kolmogorov 的 $5/3$ 标度的出现。引入自引力后,我们观察到不同结构的形成,从片状到球状坍缩结构,这些结构在动能谱中引入了一个对应于这些结构尺寸的最小值。系统表现出向统计稳态的早期收敛,我们通过可压缩动能谱中热化的发生来展示这一点,其中 $E_{\rm kin}^c \propto k^2$。我们还表明,这种大尺度结构的形成表明粒子(玻色子)通过逆级联从小尺度移动到大尺度,支持了在我们的银河系周围形成大尺度结构(如暗物质晕)的机制。

英文摘要:

We study turbulence in self-gravitating superfluids by performing direct numerical simulations of the 3D Gross-Pitaevskii-Poisson (GPP) equation, which is also a model for dark matter haloes around galaxies. In the absence of self-gravity, the spectrally truncated Gross-Pitaevskii (GP) equation shows the emergence of Kolmogorov's $5/3$ scaling in the incompressible kinetic energy spectrum. Introducing self-gravity, we observe the formation of different structures, from sheet-like to spherically collapsed structures, which introduce a minimum in the kinetic energy spectrum that corresponds to the sizes of these structures. The system shows early convergence towards statistically stationary states, which we show by the onset of thermalisation in the compressible kinetic energy spectrum, where $E_{\rm kin}^c \propto k^2$. We also show that the formation of such large-scale structures suggests that the particles (bosons) move from small to large scales through an inverse cascade, supporting a mechanism for the formation of large-scale structures, such as dark matter haloes, around our galaxy Milky Way.

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