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arXiv 2608.27353astro-ph.EP

适用于实际尘埃尺寸分布的尘埃扭矩

Dust torques for realistic dust size distributions

V. Roatti, G. Picogna, F. Marzari

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中文总结 AI 辅助

该研究通过PLUTO代码的二维流体动力学模拟,探究实际尘埃尺寸分布下低质量行星的尘埃扭矩,发现其由最大颗粒主导且对最大尺寸敏感,推导了适用于种群合成模型的标度律。

中文摘要 AI 辅助

已有研究表明,具有固定斯托克斯数(Stokes number)的尘埃粒子群可对原行星盘中嵌入的低质量行星施加显著扭矩,改变其迁移速率。本研究旨在表征实际尘埃颗粒尺寸分布下低质量行星所受的尘埃扭矩。我们采用PLUTO代码开展行星-盘相互作用的二维流体动力学模拟,额外加入代表尘埃动力学的拉格朗日超粒子(Lagrangian superparticles)。我们应用基于能量的判据排除受行星引力束缚的粒子,避免行星周流污染扭矩测量结果。研究发现,尘埃扭矩由尺寸分布中最大的颗粒主导,且对最大颗粒尺寸高度敏感;在典型盘条件下,弱耦合粒子(St ≳ 10⁻²)的扭矩为正,当存在厘米级卵石时,该扭矩可超过气体扭矩,导致低质量行星向外迁移。与以往研究不同,在探索的α范围(10⁻⁴至3×10⁻³)内,湍流尘埃扩散对扭矩的影响可忽略不计。扭矩的主要贡献来自行星希尔球(Hill sphere)内部,凸显了高空间分辨率及粒子轨迹精确积分的必要性。我们推导了尘埃扭矩作为最大颗粒尺寸和行星质量函数的标度律,适用于种群合成模型(population synthesis models)。

英文摘要

Previous studies have shown that a population of dust particles with a fixed Stokes number can exert a substantial torque on a low-mass planet embedded in a protoplanetary disk, modifying its migration rate. We aim to characterize the dust torque on a low-mass planet for a realistic distribution of dust grain sizes. We performed 2D hydrodynamical simulations of planet-disk interactions using the PLUTO code, with the addition of Lagrangian superparticles representing dust dynamics. We apply an energy-based criterion to exclude the particles that are gravitationally bound to the planet, to prevent circumplanetary flow to contaminate the torque measurements. We find that the dust torque is dominated by the largest grains in the size distribution and is highly sensitive to the maximum grain size. For typical disk conditions, the torque becomes positive for marginally coupled particles ($\mathrm{St} \gtrsim 10^{-2}$) and can exceed the gas torque in the presence of cm-sized pebbles, leading to outward migration of low-mass planets. Unlike previous studies, the turbulent dust diffusion has a negligible influence on the torque over the explored range of $α= 10^{-4}$ to $3\times 10^{-3}$. The dominant contribution arises from within the planetary Hill sphere, highlighting the need for high spatial resolution and accurate integration of particle trajectories. We derive a scaling law for the dust torque as a function of the maximum grain size and the planetary mass, suitable for implementation in population synthesis models.

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