[Previous] | [Session 40] | [Next]
A.L. Graps (MPI-K), E. Gr\"un (MPI-K), H. Svedhem (ESTEC), H. Kr\"uger (MPI-K)
The Galileo dust detector dataset is a time series that spans several years. We have transformed the time signal into frequency space, to help us understand the dust sources and the magnetic environment in which the charged dust is traveling. The frequencies not only show us the oscillations of the charged dust in the Jovian system, the pattern of peaks show us how the oscillations in the physical may be affecting each other.
In order to learn about the frequency oscillations, any frequency modulations with other frequencies, and the evolution over time of the fundamental frequencies, we have employed periodograms and wavelet transforms. Our results show that we can identify modulations between the strong frequencies in the Jovian system, such as between Jupiter and Io, and that we can follow those frequency signatures over time.
The author(s) of this abstract have provided an email address for comments about the abstract: Amara.Graps@mpi-hd.mpg.de