12.2.6. obspy.signal.trigger.pk_baer¶

pk_baer(reltrc, samp_int, tdownmax, tupevent, thr1, thr2, preset_len, p_dur, return_cf=False)[source]¶

Wrapper for P-picker routine by M. Baer, Schweizer Erdbebendienst.

Parameters:

Parameters:	reltrc time series as numpy.ndarray float32 data, possibly filtered samp_int number of samples per second tdownmax if dtime exceeds tdownmax, the trigger is examined for validity tupevent min nr of samples for itrm to be accepted as a pick thr1 threshold to trigger for pick (c.f. paper) thr2 threshold for updating sigma (c.f. paper) preset_len no of points taken for the estimation of variance of SF(t) on preset() p_dur p_dur defines the time interval for which the maximum amplitude is evaluated Originally set to 6 secs return_cf (bool) If `True`, also return the characteristic function.
Returns:	(pptime, pfm [,cf]) pptime sample number of parrival; pfm direction of first motion (U or D), optionally also the characteristic function.

reltrc time series as numpy.ndarray float32 data, possibly filtered
samp_int number of samples per second
tdownmax if dtime exceeds tdownmax, the trigger is examined for validity
tupevent min nr of samples for itrm to be accepted as a pick
thr1 threshold to trigger for pick (c.f. paper)
thr2 threshold for updating sigma (c.f. paper)
preset_len no of points taken for the estimation of variance of SF(t) on preset()
p_dur p_dur defines the time interval for which the maximum amplitude is evaluated Originally set to 6 secs
return_cf (bool) If True, also return the characteristic function.

Returns:

(pptime, pfm [,cf]) pptime sample number of parrival; pfm direction of first motion (U or D), optionally also the characteristic function.

Note

currently the first sample is not taken into account