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SUMMARY:Searching for Long-period signals in Apollo Seismic Data - Juan Li
 \, Institute of Geology and Geophysics\, Chinese Academy of Sciences
DTSTART:20250507T130000Z
DTEND:20250507T140000Z
UID:TALK231709@talks.cam.ac.uk
CONTACT:ChuanChuan Lu
DESCRIPTION:Seismic data is essential for studying planetary interiors and
  dynamics\, yet acquiring high-quality recordings in harsh extraterrestria
 l environments is far more challenging than on Earth. Despite being collec
 ted over five decades ago (1969-1977)\, the Apollo seismic data is the onl
 y available source of lunar seismic data\, continuing to provide valuable 
 insights into the Moon’s interior. When AI meets the Apollo seismic data
 set\, what secrets will be unlocked? Here\, I present some fascinating res
 ults from applying deep learning to this legacy dataset\, including the di
 scovery of Lunar’s long-period signal\, the search for the planetary fre
 e oscillation\, and a tool for automatic disturbance detection and mitigat
 ion. These findings demonstrate how modern techniques can extract new know
 ledge from historic recordings\, opening a new window into understanding p
 lanetary interiors and revolutionising our approach to lunar seismology.
LOCATION:Wolfson Lecture Theatre
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