AI RESEARCH
Evaluating PhaseNet on Teleseismic Data with MsPASS
arXiv CS.LG
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ArXi:2605.22837v1 Announce Type: cross Numerous studies have shown that the machine-learning picker PhaseNet produces accurate P and S picks on local earthquake signals, but its performance can degrade sharply on teleseismic signals. To address this limitation, we present a reproducible MsPASS workflow that (i) enables scalable data preparation and management for large seismic archives and (ii) s standardized PhaseNet