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Seismic Phase Picking Using Convolutional Networks
IEEE Transactions on Geoscience and Remote Sensing, 2019When a seismometer network records an earthquake, operators will manually review the waveforms and identify the wave phases, a task known as phase picking. Manual phase picking is a time-consuming process that can be automated using machine learning; however, automatic methods have not yet achieved human-level performance, and open-source ...
Esteban Pardo +2 more
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Automated phase attribute-based picking applied to reflection seismics
Geophysics, 2016 We have applied an attribute-based autopicking algorithm to reflection seismics with the aim of reducing the influence of the user’s subjectivity on the picking results and making the interpretation faster with respect to manual and semiautomated ...
Emanuele Forte +2 more
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LPPN: A Lightweight Network for Fast Phase Picking
Seismological Research Letters, 2022Abstract We here present one lightweight phase picking network (LPPN) to pick P/S phases from continuous seismic recordings. It first classifies the phase type for a segment of waveform, and then performs regression to get accurate phase arrival time.
Ziye Yu, Weitao Wang
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Automatic $P$-Phase Picking Based on Local-Maxima Distribution
IEEE Transactions on Geoscience and Remote Sensing, 2008In this paper, we propose a method for the automatic identification of P-phase arrival based on the distribution of local maxima (LM) in earthquake seismograms. The method efficiently combines energy and frequency characteristics of the LM distribution (LMD).
Costas Panagiotakis +2 more
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Picking and Choosing Among Phase I Trials
2019This article empirically examines how healthy volunteers evaluate and make sense of the risks of phase I clinical drug trials. This is an ethically important topic because healthy volunteers are exposed to risk but can gain no medical benefit from their trial participation.
Fisher, Jill A. +2 more
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Leveraging phase neural operator for microseismic phase arrival picking
International Meeting for Applied Geoscience & EnergyWe use Phase Neural Operator (PhaseNO) combined with transfer learning (TL) to design robust phase arrival time (picking) algorithm for microseismic events detected by a local sparse surface network of receivers. Unlike traditional single-station methods, PhaseNO employs both Fourier and Graph Neural Operators to exploit spatio-temporal context across ...
Ayrat Abdullin +2 more
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Pulse picking by phase-coherent additive pulse generation in an external cavity
Optics Letters, 2003We have implemented a simple method for generating an "amplified" phase-coherent light pulse in which a pulse train of phase-coherent, equidistant input light pulses from a mode-locked Ti:sapphire laser is coupled into a ring cavity resonator whose length is matched to the mode-locked pulse repetition frequency at 82 MHz.
Vidne, Y., Rosenbluh, M., Hänsch, T.
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A Feedback Stabilized Phase-angle-pick-up System†
International Journal of Control, 1965ABSTRACT A system for generating short pulses at the moment when a sine-wave passes through a predetermined phase angle is described. The phase shift caused by the input signal amplitude variations is automatically corrected by feedback loop. The theory of operation is developed and the optimal conditions necessary to obtain a small error in a broad ...
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An Automatic P-Phase Picking Algorithm Based on Adaptive Multiband Processing
IEEE Geoscience and Remote Sensing Letters, 2013This letter presents a novel picking algorithm which allows an automated determination of the P-phase onset time. The algorithm includes an adaptive multiband processing and noise-reduction techniques to allow a confident onset time estimation in signals strongly affected by background and/or nonstationary noise processes.
Isaac Álvarez +5 more
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Interplanetary Pick-Up Ion Acceleration
Astrophysics and Space Science, 1998Interplanetary pick-up ions originate from ionizations of neutral interstellar atoms in the heliosphere. Over the past periods it was generally expected that after pick-up by the frozen-in solar wind magnetic fields these ions quickly isotropize in velocity space by strong pitch- angle scattering, they do, however, not assimilate to the ambient solar ...
Chalov, S. V., Fahr, H. J.
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