obspy.signal.array_analysis.array_processing
- array_processing(stream, win_len, win_frac, sll_x, slm_x, sll_y, slm_y, sl_s, semb_thres, vel_thres, frqlow, frqhigh, stime, etime, prewhiten, verbose=False, coordsys='lonlat', timestamp='mlabday', method=0, store=None)[source]
Method for Seismic-Array-Beamforming/FK-Analysis/Capon
- Parameters
stream – Stream object, the trace.stats dict like class must contain an
AttribDict
with ‘latitude’, ‘longitude’ (in degrees) and ‘elevation’ (in km), or ‘x’, ‘y’, ‘elevation’ (in km) items/attributes. See paramcoordsys
.win_len (float) – Sliding window length in seconds
win_frac (float) – Fraction of sliding window to use for step
sll_x (float) – slowness x min (lower)
slm_x (float) – slowness x max
sll_y (float) – slowness y min (lower)
slm_y (float) – slowness y max
sl_s (float) – slowness step
semb_thres (float) – Threshold for semblance
vel_thres (float) – Threshold for velocity
frqlow (float) – lower frequency for fk/capon
frqhigh (float) – higher frequency for fk/capon
stime (
UTCDateTime
) – Start time of interestetime (
UTCDateTime
) – End time of interestprewhiten (int) – Do prewhitening, values: 1 or 0
coordsys – valid values: ‘lonlat’ and ‘xy’, choose which stream attributes to use for coordinates
timestamp (str) – valid values: ‘julsec’ and ‘mlabday’; ‘julsec’ returns the timestamp in seconds since 1970-01-01T00:00:00, ‘mlabday’ returns the timestamp in days (decimals represent hours, minutes and seconds) since the start of the used matplotlib time epoch
method (int) – the method to use 0 == bf, 1 == capon
store (callable) – A custom function which gets called on each iteration. It is called with the relative power map and the time offset as first and second arguments and the iteration number as third argument. Useful for storing or plotting the map for each iteration. For this purpose the dump function of this module can be used.
- Returns
numpy.ndarray
of timestamp, relative relpow, absolute relpow, backazimuth, slowness