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This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase picking task at hand.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Use when operating SkillX full-loop experiments after an inner-loop run completes, especially to audit result validity, classify failures, decide required/recommended reruns, prepare targeted rerun manifests, or determine whether it is safe to proceed to outer-loop optimization.
An overview of the python package for running the GaMMA earthquake phase association algorithm. The algorithm expects phase picks data and station data as input and produces (through unsupervised clustering) earthquake events with source information like earthquake location, origin time and magnitude. The skill explains commonly used functions and the expected input/output format.
An overview of the python package for running the GaMMA earthquake phase association algorithm. The algorithm expects phase picks data and station data as input and produces (through unsupervised clustering) earthquake events with source information like earthquake location, origin time and magnitude. The skill explains commonly used functions and the expected input/output format.
An overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, for tasks like phase picking, earthquake detection, waveform denoising and depth estimation. For any waveform, you can manipulate it into an obspy stream object and it will work seamlessly with seisbench models.
Clean messy tabular datasets with deduplication, missing value imputation, outlier handling, and text processing. Use when dealing with dirty data that has duplicates, nulls, or inconsistent formatting.
Difference-in-Differences causal analysis to identify demographic drivers of behavioral changes with p-value significance testing. Use for event effects, A/B testing, or policy evaluation.
| name | seismic-picker-selection |
| description | This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase picking task at hand. |
When choosing an event detection and phase picking method, consider these key tradeoffs:
| Method | Generalizability | Sensitivity | Speed, Ease-of-Use | False Positives |
|---|---|---|---|---|
| STA/LTA | High | Low | Fast, Easy | Many |
| Manual | High | High | Slow, Difficult | Few |
| Deep Learning | High | High | Fast, Easy | Medium |
| Template Matching | Low | High | Slow, Difficult | Few |
Key insight: Each method has strengths and weaknesses. Purpose and resources should guide your choice.
0.3 toward 0.4-0.5).min_picks_per_eq or min_stations.