obspy.signal.polarization.polarization_analysis¶

polarization_analysis(stream, win_len, win_frac, frqlow, frqhigh, stime, etime, verbose=False, method='pm', var_noise=0.0, adaptive=True)[source]¶

Method carrying out polarization analysis with the [Flinn1965b], [Jurkevics1988], ParticleMotion, or [Vidale1986] algorithm.

Parameters:	stream (Stream) 3 component input data. win_len (float) Sliding window length in seconds. win_frac (float) Fraction of sliding window to use for step. var_noise (float) resembles a sphere of noise in PM where the 3C is excluded frqlow (float) lower frequency. Only used for method='vidale'. frqhigh (float) higher frequency. Only used for method='vidale'. stime (obspy.core.utcdatetime.UTCDateTime) Start time of interest etime (obspy.core.utcdatetime.UTCDateTime) End time of interest method (str) the method to use. one of "pm", "flinn" or "vidale". adaptive (bool) switch for adaptive window estimation (defaults to True). If set to False, the window will be estimated as 3 * max(1/(fhigh-flow), 1/flow).
Return type:	dict
Returns:	Dictionary with keys "timestamp" (POSIX timestamp, can be used to initialize UTCDateTime objects), "azimuth", "incidence" (incidence angle) and additional keys depending on used method: "azimuth_error" and "incidence_error" (for method "pm"), "rectilinearity" and "planarity" (for methods "flinn" and "vidale") and "ellipticity" (for method "flinn"). Under each key a ndarray is stored, giving the respective values corresponding to the "timestamp" ndarray.