AIMBAT

Automated and Interactive Measurement of Body wave Arrival Times

Documentation: https://aimbat.pysmo.org

Source Code: https://github.com/pysmo/aimbat

AIMBAT (Automated and Interactive Measurement of Body wave Arrival Times) is an open-source tool for measuring teleseismic body wave arrival times. Seismograms are automatically aligned using the ICCS (Iterative Cross-Correlation and Stack) algorithm¹. Picks are then reviewed and refined interactively before a final MCCC (Multi-Channel Cross-Correlation) pass² computes the definitive arrival times.

Version 2

AIMBAT v2 is a complete rewrite, sharing no code with v1. Changes for users include:

• Flexible workflow. Snapshots record the processing state at any point, so earlier states can be restored and parameter sets compared without losing prior work. ICCS and MCCC can be run in any order and repeated as needed; results can be exported from any snapshot, not only after a final MCCC pass.
• Multi-event projects. A single project database holds any number of seismic events. Waveform files can be stored anywhere on disk; no fixed directory layout is required.
• Structured output. Each snapshot can be exported as a JSON document containing per-station arrival times, ICCS correlation coefficients, and, if MCCC has been run, formal timing standard errors. This format supports uses beyond tomographic inversion, such as station quality assessment or analysis of delay patterns as a function of back-azimuth.
• Multiple interfaces. AIMBAT is available as a CLI, an interactive shell, a terminal UI, and a Python library. All functionality is accessible through the Python API.

Authors' contacts

• Xiaoting Lou — xlou at u.northwestern.edu
• Suzan van der Lee — suzan at northwestern.edu
• Simon Lloyd — simon at pysmo.org