论文标题

大规模迁移可以解释巨大的行星发生率吗?

Can Large-Scale Migration Explain the Giant Planet Occurrence Rate?

论文作者

Hallatt, Tim, Lee, Eve J

论文摘要

巨型行星的发生率随着轨道周期至少$ \ sim $ 300天而上升。长期以来,大规模的行星迁移一直被怀疑是该特征的物理起源,因为标准太阳星云中标准I型迁移的时间尺度离恒星更长。这些计算还发现,典型的带有木星的核心朝磁盘内边缘穿梭,比气盘寿命短。在无数距离内的气体巨头的存在需要缓慢大规模迁移的机制。我们通过从核心迁移,通过气体积聚和行星间隙开口来得出模型的发生率曲线来重新审视迁移范式。我们明确地表明,前两个过程出现在同时。一旦它们与磁盘气体的相互作用雕刻出深层缝隙,行星的径向运输可以显着减慢。磁盘更容易触及距离恒星,因此缝隙开口的核能会使最终的轨道周期分布变平。为了恢复观察到的发生率的上升,气体巨头需要更大的距离,如果它们的信封没有尘土,这是自然而然的。我们发现的质量梯度的范围太突然了,无法说明低含量巨型行星的质量周期分布,这挑战了磁盘迁移是热和温暖木星的主要起源通道。未来表征公正的质量分布的努力将对迁移理论的预测产生更强的限制。

The giant planet occurrence rate rises with orbital period out to at least $\sim$300 days. Large-scale planetary migration through the disk has long been suspected to be the physical origin of this feature, as the timescale of standard Type I migration in a standard solar nebula is longer farther from the star. These calculations also find that typical Jupiter-bearing cores shuttle towards the disk inner edge on timescales orders of magnitude shorter than the gas disk lifetime. The presence of gas giants at myriad distances requires mechanisms to slow large-scale migration. We revisit the migration paradigm by deriving model occurrence rate profiles from migration of cores, mass growth by gas accretion, and planetary gap opening. We show explicitly that the former two processes occur in tandem. Radial transport of planets can slow down significantly once deep gaps are carved out by their interaction with disk gas. Disks are more easily perturbed closer to the star, so accounting for gap opening flattens the final orbital period distribution. To recover the observed rise in occurrence rate, gas giants need to be more massive farther out, which is naturally achieved if their envelopes are dust-free. The range of mass gradients we find to reconcile the observed occurrence rate of Jupiters is too abrupt to account for the mass-period distribution of low-eccentricity giant planets, challenging disk migration as the dominant origin channel of hot and warm Jupiters. Future efforts in characterizing the unbiased mass distribution will place stronger constraints on predictions from migration theory.

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