array_processing.tools.detection module¶
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array_processing.tools.detection.
calculate_semblance
(data_in)[source]¶ Calculates the semblance, a measure of multi-channel coherence, following the definition of Neidell & Taner (1971). Assumes data are already time-shifted to construct the beam.
Parameters: data_in – Time-shifted ObsPy Stream or time-shifted NumPy array Returns: Multi-channel coherence defined on \([0, 1]\)
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array_processing.tools.detection.
fstatbland
(dtmp, fs, tau)[source]¶ Calculates the F-statistic and SNR based on Blandford’s method (see Notes).
Parameters: Returns: Tuple containing:
- fstat – F-statistic
- snr – SNR
Return type: References
Blandford, R. R., 1974. An automatic event detector at the Tonto Forest Seismic Observatory. Geophysics, vol. 39, no. 5, p. 633–643. https://library.seg.org/doi/abs/10.1190/1.1440453