Exploring Seismic Signal Detection and Source Identification of Atmospheric Entries: The Hayabusa2 Sample Return Capsule as a Benchmark
Iona Clemente, Eleanor K. Sansom, Hadrien A. R. Devillepoix, Taichi Kawamura, Benjamin A. Fernando, Raphael F. Garcia, Olivia Collet

TL;DR
This study explores the potential of seismic signals to identify and analyze atmospheric entry events, using the Hayabusa2 sample return capsule as a benchmark, and compares seismic signatures across different re-entry types.
Contribution
It demonstrates that seismic data can distinguish ballistic re-entries from fragmented or airburst events, providing a new method for fireball source identification.
Findings
High correlation of seismic signals with ballistic trajectories
Lower correlation for fragmented or airburst events
Seismic data can help assess fragmentation during atmospheric entry
Abstract
This exploratory study investigates whether seismic signals can be used to infer fragmentation during a fireball event. Re-entry objects, particularly sample return capsules (SRCs) such as the one from the Hayabusa2 mission, behave similarly to slow meteors during atmospheric entry and provide valuable insights into natural fireball events. In this study, we initially analyse seismic signals from the Hayabusa2 SRC re-entry, which took place on December 5, 2020, over South Australia. The SRC's signature was captured by a dense network of seismic stations (Eakin, 2018; O'Donnell et al., 2020), offering a unique opportunity to investigate the signals' characteristics and verify their connection to the re-entry event. The ballistic trajectory was confirmed as the source shock mechanism for this event. We isolate this signal and use it as a reference for a ballistic shock signature and…
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