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Published October 1, 2021 | Accepted Version + Published
Journal Article Open

Migrating Planets into Ultra-short-period Orbits during Episodic Accretion Events

Abstract

Ultra-short-period (USP) planets reside inside the expected truncation radius for typical T Tauri disks. As a result, their current orbital locations require an explanation beyond standard disk migration or in situ formation. Modern theories of planet–disk interactions indicate that once a planet migrates close to the disk's inner truncation radius, Type I torques vanish or switch direction, depending on the stellar and disk conditions, so that the planet is expected to stop its orbital decay and become trapped. In this work, we show that that magnetically driven sub-Keplerian gas flow in the inner disk can naturally counteract these effects and produce systems with USP planets at their observed orbital radii. The sub-Keplerian gas flow provides a headwind to small planets, and the resulting torque can overcome the effects of outward Type I migration near the corotation radius. For suitable disk and planet parameters, the torques due to the sub-Keplerian gas flow lead to inward migration on a rapid timescale. Over the time span of an FU Ori outburst, which moves the disk truncation radius inward, the rapid headwind migration can place planets in USP orbits. The combination of headwind migration and FU Ori outbursts thus provides a plausible mechanism to move small planets from a = 0.05–0.1 au down to a = 0.01–0.02 au. This effect is amplified for low-mass planets, consistent with existing observations.

Additional Information

© 2021. The American Astronomical Society. Received 2021 May 12; revised 2021 June 24; accepted 2021 July 2; published 2021 September 28. J.C.B. has been supported by the Heising-Simons 51 Pegasi b postdoctoral fellowship. We thank Tony Rodriguez for useful conversations. We also thank the anonymous referee for useful comments. This research has made use of NASA's Astrophysics Data System. Software: pandas (McKinney 2010), matplotlib (Hunter 2007), numpy (Oliphant 2006), Jupyter (Kluyver et al. 2016).

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Published - Becker_2021_ApJ_919_76.pdf

Accepted Version - 2107.03413.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023