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Simulating Radio Emission from Low-mass Stars

Llama, Joe and Jardine, Moira M. and Wood, Kenneth and Hallinan, Gregg and Morin, Julien (2018) Simulating Radio Emission from Low-mass Stars. Astrophysical Journal, 854 (1). Art. No. 7. ISSN 1538-4357. doi:10.3847/1538-4357/aaa59f.

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Understanding the origins of stellar radio emission can provide invaluable insight into the strength and geometry of stellar magnetic fields and the resultant space weather environment experienced by exoplanets. Here, we present the first model capable of predicting radio emission through the electron cyclotron maser instability using observed stellar magnetic maps of low-mass stars. We determine the structure of the coronal magnetic field and plasma using spectropolarimetric observations of the surface magnetic fields and the X-ray emission measure. We then model the emission of photons from the locations within the corona that satisfy the conditions for electron cyclotron maser emission. Our model predicts the frequency and intensity of radio photons from within the stellar corona. We have benchmarked our model against the low-mass star V374 Peg. This star has both radio observations from the Very Large Array and a nearly simultaneous magnetic map. Using our model we are able to fit the radio observations of V374 Peg, providing additional evidence that the radio emission observed from low-mass stars may originate from the electron cyclotron maser instability. Our model can now be extended to all stars with observed magnetic maps to predict the expected frequency and variability of stellar radio emission in an effort to understand and guide future radio observations of low-mass stars.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Llama, Joe0000-0003-4450-0368
Hallinan, Gregg0000-0002-7083-4049
Morin, Julien0000-0002-4996-6901
Additional Information:© 2018 American Astronomical Society. Received 2017 August 29. Accepted 2018 January 3. Published 2018 February 6. We would like to thank the anonymous referee for the helpful comments and suggestions. M.M.J. acknowledges support from STFC grant ST/M001296/1. This research has made use of the SIMBAD database, operated at CDS, Strasbourg, France. This research has made use of NASA's Astrophysics Data System. This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013).
Group:UNSPECIFIED, UNSPECIFIED, Astronomy Department
Funding AgencyGrant Number
Science and Technology Facilities Council (STFC)ST/M001296/1
Subject Keywords:stars: activity; stars: individual (V374 Peg) ; stars: low-mass; stars: magnetic field
Issue or Number:1
Record Number:CaltechAUTHORS:20180206-101951039
Persistent URL:
Official Citation:Joe Llama et al 2018 ApJ 854 7
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:84684
Deposited By: Ruth Sustaita
Deposited On:06 Feb 2018 18:57
Last Modified:15 Nov 2021 20:22

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