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Recovering planet radial velocity signals in the presence of starspot activity in fully convective stars

Barnes, J.R.; Jeffers, S. V.; Anglada-Escudé, G.; Haswell, C.A.; Jones, H. R. A.; Tuomi, M.; Feng, F.; Jenkins, J. S. and Petit, P. (2017). Recovering planet radial velocity signals in the presence of starspot activity in fully convective stars. Monthly Notices of the Royal Astronomical Society, 466(2) pp. 1733–1740.

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Accounting for stellar activity is a crucial component of the search for ever-smaller planets orbiting stars of all spectral types. We use Doppler imaging methods to demonstrate that starspot-induced radial velocity variability can be effectively reduced for moderately rotating, fully convective stars. Using starspot distributions extrapolated from sunspot observations, we adopt typical M dwarf starspot distributions with low contrast spots to synthesize line profile distortions. The distortions are recovered using maximum entropy regularized fitting and the corresponding stellar radial velocities are measured. The procedure is demonstrated that for a late-M star harbouring an orbiting planet in the habitable zone. The technique is effective for stars with v sin i = 1-10km s-1, reducing the stellar noise contribution by factors of nearly an order of magnitude. With a carefully chosen observing strategy, the technique can be used to determine the stellar rotation period and is robust to uncertainties such as unknown stellar inclination. While demonstrated for late-type M stars, the procedure is applicable to all spectral types.

Item Type: Journal Item
Copyright Holders: 2016 The Authors
ISSN: 1365-2966
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetST/L000776/1STFC (Science & Technology Facilities Council)
Keywords: Techniques; radial velocities – techniques; spectroscopic – planets and satellites; detection – stars; activity – stars; low-mass
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Health and Wellbeing PRA (Priority Research Area)
Item ID: 48859
Depositing User: John Barnes
Date Deposited: 07 Mar 2017 11:07
Last Modified: 28 Mar 2020 00:18
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