Periodicities in radio emissions from the Jupiter's magnetosphere and consequences for radio emissions from star-exoplanet systems

Abstract

The search for radio signals from exoplanets or star-planet interactions is a topic of major scientific interest, as it is likely the best way to detect and measure a planetary magnetic field and, therefore, to probe the inner structure of exoplanets. However, detecting these radio emissions is challenging, since they are anisotropic by nature, sporadic, and of low intensity because of their great distances, and because the sky cannot be monitored continuously. The aim of this article is to demonstrate the relevance of using statistical tools to detect periodic radio signals in unevenly spaced observations, and identify the implications of the measured period. The identification of periodic radio signals is achieved here by a Lomb-Scargle analysis. We first apply the technique to simulated astrophysical observations with controlled simulated noise. This allows us to characterize the origin of spurious detection peaks in the resulting periodograms, as well as to identify peaks corresponding to real periods in the studied system, and to harmonic or beat periods. We then validate this method with a real signal, using approximately 1400 hours of data from observations of Jupiter's radio emissions by the NenuFAR radio telescope over more than six years, to detect the periodicities of Jovian radio emissions (auroral and induced by the Galilean moons). We demonstrate with the simulation that the LombScargle periodogram allows us to correctly identify periodic radio signals, even in a diluted signal. On real measurements, it correctly detects the rotation period of the strong signal produced by Jupiter and the beat period of the emission triggered by the interaction between Jupiter and its Galilean moon Io, ...