If you are interested in attending, please contact Jeremy Averyt (firstname.lastname at lasp.colorado.edu) for Zoom information or to be added to the mailing list.
Abstract: The solar acoustic oscillations are likely stochastically excited by convective dynamics in the solar photosphere, though few direct observations of individual source events have been made and their detailed characteristics are still unknown. Wave source identification requires measurements that can reliably discriminate the local wave signal from the background convective motions and resonant modal power. This is quite challenging as these ’noise’ contributions have amplitudes several orders of magnitude greater than the sources and the propagating wave fields they induce. In this talk, I will discuss how we can filter and identify these sources in simulated photospheres and in observation as well. The development of this technique leveraged the application of deep learning algorithm as well as the upcoming Daniel K. Inouye Solar Telescope (DKIST)’s high-resolution, fast cadence capabilities. Using the filtering technique developed, we have uncovered previously unknown properties of the acoustic emission process and their possible characteristic dynamics both in below (upper convection zone) and above (chromosphere/corona) atmosphere. We believe the technique will have important applications in chromospheric wave-studies and may lead to new investigations in high-resolution local-helioseismology.
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LASP seminars are generally held every Thursday at 4:00 PM on Zoom and in person:
https://lasp.colorado.edu/home/about/events/science-seminars/