def remove_response_paz(st, paz_path, pre_filt):
"""
remove response using paz file
"""
for trace in st:
# get key
network = trace.stats.network
station = trace.stats.station
channel = trace.stats.channel
key = f"{network}.{station}.{channel}"
paz_path_used = join(paz_path, key)
# try to read paz
try:
attach_paz(trace, paz_path_used)
except: # pylint: disable=bare-except
return None
# ndarray
data = simulate_seismometer(trace.data,
trace.stats.sampling_rate,
paz_remove=trace.stats.paz,
water_level=6e9,
zero_mean=False,
taper=False,
pre_filt=pre_filt,
sacsim=True)
trace.data = data
return st
def remove_response(st, pre_filt=None, inv=None):
for index, item in enumerate(st):
pz_vir_file = io.StringIO()
inv_tr = inv.select(channel=item.stats.channel)
inv_tr.write(pz_vir_file, format="SACPZ")
pz_vir_file.seek(0)
attach_paz(item, pz_vir_file)
data = simulate_seismometer(item.data,
item.stats.sampling_rate,
paz_remove=item.stats.paz,
water_level=6e9,
zero_mean=False,
taper=False,
pre_filt=pre_filt,
sacsim=True)
st[index].data = data
return st
st = read('RAW/*', debug_headers=True)
k = len(st)
i = 0
while i < k:
tr = st[i]
print(tr.id, tr.stats.starttime.year, tr.stats.starttime.julday)
### differential Volcity to Accerletion
diftr = obspy.core.trace.Trace.differentiate(tr)
### Pole and Zero
chn = tr.stats.channel
sta = tr.stats.station
Ps = "PZs/" + "*" + sta + "*" + "HHZ" + "*"
HH_paz = glob.glob(Ps)
pz.attach_paz(diftr, HH_paz[0])
paz = dict(diftr.stats.paz)
### power spectrum density
ppsd = PPSD(diftr.stats, paz, ppsd_length=3600.0, overlap=0.95)
ppsd.add(diftr)
[t, amp] = ppsd.get_mode()
### Output
ts = str(tr.stats.starttime.year) + "." + str(tr.stats.starttime.julday)
txt = sta + "." + chn + "." + ts + ".txt"
with open(txt, mode="w") as f:
for j in range(len(t)):
f.write("%e %6.2f\n" % (t[j], amp[j]))
i += 1
et = event.origins[0].time #Get eventtime
#print('Event time: %s' %et)
path = '../WAV/%s/%d/%02d/%d-%02d-%02d-*'\
%(wav_path, et.year, et.month, et.year, et.month, et.day) #Read in corresponding waveform
#Find file with corresponding file name
for fname in glob.glob(path):
stream = obspy.read(fname)
if stream[0].stats.starttime > et-40 and stream[0].stats.starttime < et:
st1 = stream
#print('Filename: %s' %fname)
#Remove instrument response
for tr in st1:
attach_paz(tr, '/Volumes/LS_M2/PpolPackage-master/response/SAC_PZs_XX_SPOBS2_SHZ_00_2001.001.00.00.00.0000_2021.001.24.60.60.99999')
st1.simulate(paz_remove = tr.stats.paz)
#Preprocessing
st1.detrend('demean')
st1.detrend('simple')
st1.taper(max_percentage = 0.01, type = 'hann')
st1.filter('bandpass', freqmin = fmi, freqmax = fma)
#Select traces from specific station
st = obspy.core.stream.Stream()
for tr in st1.select(station = 'LSb%s' %ns):
st.append(tr)
#print(st)
if dist > d_con:
et = event.origins[0].time #get eventtime
path = path_to_wav + '/%d/%02d/%d-%02d-%02d-*'\
%(et.year, et.month, et.year, et.month, et.day) #read in corresponding waveform
# Find file with corresponding file name that fits to the eventtime
for fname in glob.glob(path):
stream = obspy.read(fname)
if stream[0].stats.starttime > et - 40 and stream[
0].stats.starttime < et:
st1 = stream
#print('filename: %s' %fname)
# Remove instrument response
for tr in st1:
attach_paz(tr, path_to_response_file)
st1.simulate(paz_remove=tr.stats.paz)
# Preprocessing
st1.detrend('demean')
st1.detrend('simple')
st1.taper(max_percentage=0.01, type='hann')
st1.filter('bandpass', freqmin=fmi, freqmax=fma)
# Select traces from specific station
st = obspy.core.stream.stream()
for tr in st1.select(station='lsb%s' % ns):
st.append(tr)
#print(st)