A predictive framework for realistic star planet radio emission in compact systems
J. J. Chebly, C. K. Louis, A. Strugarek, J. D. Alvarado-G\'omez, P. Zarka

TL;DR
This study develops a simulation-based framework combining stellar wind models and magnetic data to prioritize star-planet systems for detecting radio emissions caused by magnetic interactions, aiding future observational efforts.
Contribution
It introduces a novel, data-driven method integrating ZDI maps, 3D MHD simulations, and emission modeling to identify promising targets for SPI radio detection.
Findings
Framework successfully applied to benchmark systems like Tau Boo and HD 179949.
Method estimates radio emission frequencies and powers, guiding observational strategies.
Potential to enhance detection prospects with improved magnetic and wind data.
Abstract
Radio emission from star planet interactions (SPI) beyond our solar system has yet to be firmly detected, primarily due to challenges such as weak signals, directional beaming effects, and low frequency emissions that are blocked by the ionosphere of Earth. Addressing these obstacles calls for strategic target selection. This proof of concept study aims to improve SPI target prioritization by simulating SPI induced radio emission frequencies and estimating associated radio power to identify systems most likely to produce detectable signals. We combine Zeeman Doppler Imaging (ZDI) maps with 3D magnetohydrodynamic (MHD) stellar wind simulations and use the ExPRES code to model SPI driven radio emissions. We also estimate the intensity of these emissions using the Radio Magnetic Scaling Law, based on the magnetic field and plasma density parameters from the 3D wind models. This approach is…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astrophysics and Star Formation Studies
