@article {dong_identification_2024,
	title = {Identification of Rare Multiple Core-Mantle Boundary Reflections PmKP Up To P7KP With Deep Learning},
	journal = {Geophysical Research Letters},
	volume = {51},
	number = {2},
	year = {2024},
	note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2023GL105464},
	pages = {e2023GL105464},
	abstract = {The core-mantle boundary (CMB) marks the most dramatic changes in physical properties within the Earth, and plays a critical role in the understanding of the Earth{\textquoteright}s dynamics. PmKP waves are seismic phases that reflect (m - 1) times under the CMB and are useful for studying the complex CMB structure. We present an automated workflow for detecting PmKP phases using multi-station records from global seismic stations. We employ a novel sampling method to extract PmKP waveforms into a 2-D matrix. Two deep neural networks are then utilized for initial phase detections and subsequent slowness validations. Numerous PmKPab (3 <= m <= 7) and their CMB diffracted signals were identified for deep earthquakes (magnitude >6) occurred from 2000 to 2020, including diffracted P7KPab waves with diffraction lengths of nearly 20{\textdegree}. Our approach significantly improves the efficiency of PmKP phase identification and holds the capability to detect other weak core phases, such as PKiKP.},
	issn = {1944-8007},
	doi = {10.1029/2023GL105464},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2023GL105464},
	author = {Dong, Sheng and Chen, Yulin and Zhang, Baolong and Ni, Sidao and Chen, Xiaofei and Wang, Yi}
}
