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Conference object . 2021
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Detecting giant planets orbiting low-mass stars to understand how planets form

Authors: Bryant, Edward M; Bayliss, Daniel;

Detecting giant planets orbiting low-mass stars to understand how planets form

Abstract

Determining the occurrence rate of giant planets orbiting low mass stars (M<0.6Msun) is a critical test of the core-accretion theory of planet formation. However the occurrence rate of these giant planets is poorly constrained from previous surveys. In this study we determine this occurrence rate using the hundreds of thousands of low-mass stars monitored in the TESS FFIs. We perform an automated transit search through light curves extracted from the TESS full frame images for low-mass dwarf stars selected using TICv8 parameters. Candidates are selected by a series of objective vetting steps that identify and reject false positive cases, particularly eclipsing binary systems and variable stars. Injection and recovery tests are used to to determine our survey efficiency, which in turn allows us to determine the frequency of giant planets around low mass stars in a statistically robust manner. We will present our key findings and discuss how our results impact on the understanding of how giant planets form around their host stars.

{"references": ["Laughlin, G. et al. (2004), ApJ, 612, 1, L73-L76", "Caldwell, D. A. et al. (2020), RNAAS, 4, 11, 201", "Bayliss D. et al. (2018), MNRAS, 475, 4, 4467-4475"]}

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Keywords

Exoplanets, Full-Frame Images, Planet Detection, Occurrence Rates, Low-Mass Stars, Population Studies, Giant Planets

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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