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Stabilized zero-crosings determination for source spectrum estimation from P pulse.

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Ludger Küperkoch 2016-09-20 10:40:21 +02:00 committed by Sebastianw Wehling-Benatelli
parent df002ce9ac
commit 6a2bbe3f91
1 changed files with 2 additions and 12 deletions
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14
pylot/core/analysis/magnitude.py
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@ -390,21 +390,11 @@ def calcsourcespec(wfstream, onset, metadata, vp, delta, azimuth, incidence,
ldat[0].stats.delta)) ldat[0].stats.delta))
# get window after P pulse for # get window after P pulse for
# calculating source spectrum # calculating source spectrum
if zdat[0].stats.sampling_rate <= 100:
winzc = zdat[0].stats.sampling_rate
elif zdat[0].stats.sampling_rate > 100 and \
zdat[0].stats.sampling_rate <= 200:
winzc = 0.5 * zdat[0].stats.sampling_rate
elif zdat[0].stats.sampling_rate > 200 and \
zdat[0].stats.sampling_rate <= 400:
winzc = 0.2 * zdat[0].stats.sampling_rate
elif zdat[0].stats.sampling_rate > 400:
winzc = zdat[0].stats.sampling_rate
tstart = UTCDateTime(zdat[0].stats.starttime) tstart = UTCDateTime(zdat[0].stats.starttime)
tonset = onset.timestamp - tstart.timestamp tonset = onset.timestamp - tstart.timestamp
impickP = tonset * zdat[0].stats.sampling_rate impickP = tonset * zdat[0].stats.sampling_rate
wfzc = Ldat[impickP: impickP + winzc] wfzc = Ldat[impickP: len(Ldat) - 1]
# get time array # get time array
t = np.arange(0, len(inttrz) * zdat[0].stats.delta, \ t = np.arange(0, len(inttrz) * zdat[0].stats.delta, \
zdat[0].stats.delta) zdat[0].stats.delta)