Esempio n. 1
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 def test_shift_con_P(self):
     v = np.zeros((200, ))
     # pre-event noise
     v[:50] = np.random.random((50, )) * .5
     v[50:] = np.random.random((150, )) * 10
     qrf, lrf = spectraldivision(v, v, .1, 5, 'con', 'P')
     np.testing.assert_allclose(qrf, lrf)
     self.assertEqual(np.argmax(qrf), 50)
Esempio n. 2
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def decon_test(PSS_file, phase, method):
    """
    Function to test a given deconvolution method with synthetic data created
    with raysum.

    Parameters
    ----------
    PSS_file : str
        Filename of raysum file containing P-Sv-Sh traces.
    phase : str
        "S" or "P".
    method : str
        Deconvolution method: use 1. "fqd", "wat", or "con for
        frequency-dependent damped, waterlevel damped, constantly damped
        spectraldivision. 2. "it" for iterative deconvolution, and 3.
        "multit_con" or "multitap_fqd" for constantly or frequency-dependent
        damped multitaper deconvolution.

    Returns
    -------
    RF : np.array
        Matrix containing all receiver functions.
    dt : float
        Sampling interval.

    """
    PSS, dt, M, N, shift = read_raysum(phase, PSS_file=PSS_file)

    # Create receiver functions
    RF = []
    for i in range(M):
        if phase == "P":
            u = PSS[i, 0, :]
            v = PSS[i, 1, :]
        elif phase == "S":
            u = PSS[i, 1, :]
            v = PSS[i, 0, :]
        if method == "it":
            data, _, _ = it(u, v, dt, shift=shift)
            lrf = None
        # elif method == "gen_it":
        #     data, IR, iters, rej = gen_it(u, v, dt, phase=phase, shift=shift)
        #     lrf = None
        elif method == "fqd" or method == "wat" or method == "con":
            data, lrf = spectraldivision(v,
                                         u,
                                         dt,
                                         shift,
                                         phase=phase,
                                         regul=method,
                                         test=True)
        elif method == "multit_fqd":
            data, lrf, _, _ = multitaper(u, v, dt, shift, 'fqd')
            data = lowpass(data, 4.99, 1 / dt, zerophase=True)
        elif method == "multit_con":
            data, lrf, _, data2 = multitaper(u, v, dt, shift, 'con')
            data = lowpass(data, 4.99, 1 / dt, zerophase=True)
        else:
            raise NameError
        # if lrf is not None:
        #     # Normalisation for spectral division and multitaper
        #     # In order to do that, we have to find the factor that is
        #       necessary to
        #     # bring the zero-time pulse to 1
        #     fact = abs(lrf).max() #[round(shift/dt)]
        #     data = data/fact
        RF.append(RFTrace(data))
        RF[-1].stats.delta = dt
        RF[-1].stats.starttime = UTCDateTime(0)
        RF[-1].stats.onset = UTCDateTime(0) + shift
        RF[-1].stats.type = 'time'
        RF[-1].stats.phase = phase
        RF[-1].stats.channel = phase + 'RF'
        RF[-1].stats.network = 'RS'
    RF = RFStream(RF)
    return RF, dt
Esempio n. 3
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 def test_unknown_phase(self):
     with self.assertRaises(ValueError):
         spectraldivision(np.empty((25, )), np.empty((25, )), 1, 0, 'wat',
                          'XX')
Esempio n. 4
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 def test_unknown_regul(self):
     with self.assertRaises(ValueError):
         spectraldivision(np.empty((25, )), np.empty((25, )), 1, 0,
                          'blabla', 'P')
Esempio n. 5
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 def test_by_self_fqd_S(self):
     v = np.zeros((200, ))
     v[50:] = np.random.random((150, ))
     qrf, _ = spectraldivision(v, v, 2, 16, 'fqd', 'S')
     self.assertEqual(np.argmax(qrf), 8)
Esempio n. 6
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 def test_by_self_wat_S(self):
     v = np.zeros((200, ))
     v[50:] = np.random.random((150, ))
     qrf, lrf = spectraldivision(v, v, 0.1, 5, 'wat', 'S')
     np.testing.assert_allclose(qrf, lrf)
     self.assertEqual(np.argmax(qrf), 50)