Some debugging.
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@ -625,7 +625,7 @@ def calcsourcespec(wfstream, onset, vp, delta, azimuth, incidence,
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"calcsourcespec: Determined corner frequency: %f Hz" % (w01, fc1))
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"calcsourcespec: Determined corner frequency: %f Hz" % (w01, fc1))
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# use of conventional fitting
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# use of conventional fitting
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[w02, fc2] = fitSourceModel(F, YYcor, Fcin, 2, verbosity)
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[w02, fc2] = fitSourceModel(F, YYcor, Fcin, iplot, verbosity)
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# get w0 and fc as median of both
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# get w0 and fc as median of both
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# source spectrum fits
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# source spectrum fits
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@ -652,7 +652,7 @@ def calcsourcespec(wfstream, onset, vp, delta, azimuth, incidence,
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plt.xlabel('Time since %s' % zdat[0].stats.starttime)
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plt.xlabel('Time since %s' % zdat[0].stats.starttime)
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plt.ylabel('Displacement [mm]')
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plt.ylabel('Displacement [mm]')
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if iplot >= 1:
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if iplot > 1:
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plt.subplot(2, 1, 2)
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plt.subplot(2, 1, 2)
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p1, = plt.loglog(f, Y.real, 'k')
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p1, = plt.loglog(f, Y.real, 'k')
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p2, = plt.loglog(F, YY.real)
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p2, = plt.loglog(F, YY.real)
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@ -780,8 +780,8 @@ def fitSourceModel(f, S, fc0, iplot, verbosity=False):
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w0 = max(S)
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w0 = max(S)
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if verbosity:
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if verbosity:
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print(
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print(
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"fitSourceModel: best fc: {0} Hz, best w0: {1} m/Hz".format(fc, w0))
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"fitSourceModel: best fc: {0} Hz, best w0: {1} m/Hz".format(Fc, w0))
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if iplot > 0:
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if iplot >= 1:
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plt.figure() # iplot)
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plt.figure() # iplot)
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plt.loglog(f, S, 'k')
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plt.loglog(f, S, 'k')
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plt.loglog([f[0], Fc], [w0, w0], 'g')
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plt.loglog([f[0], Fc], [w0, w0], 'g')
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