2015
DOI: 10.1093/mnras/stv896
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Time-scales of close-in exoplanet radio emission variability

Abstract: We investigate the variability of exoplanetary radio emission using stellar magnetic maps and 3D field extrapolation techniques. We use a sample of hot Jupiter hosting stars, focusing on the HD 179949, HD 189733 and τ Boo systems. Our results indicate two time-scales over which radio emission variability may occur at magnetised hot Jupiters. The first is the synodic period of the star-planet system. The origin of variability on this time-scale is the relative motion between the planet and the interplanetary pl… Show more

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Cited by 55 publications
(33 citation statements)
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“…In this work we will use a similar wind model to that of See et al (2015a). For the Sun, the wind speed is known to be correlated with the amount of field line divergence of the magnetic field lines (Levine et al 1977;Wang & Sheeley 1990, 1991.…”
Section: Wind Speed Density and Mass-loss Ratementioning
confidence: 99%
“…In this work we will use a similar wind model to that of See et al (2015a). For the Sun, the wind speed is known to be correlated with the amount of field line divergence of the magnetic field lines (Levine et al 1977;Wang & Sheeley 1990, 1991.…”
Section: Wind Speed Density and Mass-loss Ratementioning
confidence: 99%
“…These are calculated using the PFFS method of Altschuler & Newkirk (1969) to determine the 3D coronal magnetic field geometry and the relation of Arge & Pizzo (2000) to determine the stellar wind velocity from the expansion of the magnetic field lines. The stellar wind density is obtained by scaling the solar wind density at 1 AU in same manner as Jardine & Collier Cameron (2008) and See et al (2015a). The mass loss rate then follows by integrating over a spherical surface.…”
Section: Input Parametersmentioning
confidence: 99%
“…The interaction leads to particle acceleration that is manifested in auroral emissions and magnetosphere-ionosphere field aligned currents, both associated with known mechanisms to generate radio waves (e.g., Zarka 2007;Lazio & Farrell 2007;Grießmeier et al 2007;Vidotto et al 2015;See et al 2015;Nichols & Milan 2016;Alvarado-Gómez et al 2016a;Burkhart & Loeb 2017;Turnpenney et al 2018;Lynch et al 2018). See et al (2015) have used Zeeman-Doppler imaging (ZDI) maps to estimate the temporal variations of radio emissions from exoplanets directly from the magnetic maps, and using some empirical estimation for the radio power (assuming planetary auroral emissions). Llama et al (2018) presented a more detailed calculation of the coronal radio emissions from V374 Peg using potential field approximation, and hydrostatic coronal density (non-MHD solution).…”
Section: Introductionmentioning
confidence: 99%