Dear community
I was wondering how to combine remove_sensitivity and remove_response for accelerograms (channel HN*).
When I apply remove_response, I get extremely low-amplitude traces. Even lower if I apply both remove_response and remove_sensitivity. I ended up by just removing the sensitivity and filtering the traces. However, I am still curious to understand how the correction procedure should be rightly applied. I don’t find any example on the internet/tutorial/doc.
Thanks
Here’s my code:
-- coding: utf-8 --
#!/usr/bin/env python
“”"
Example file for plotting mseed traces
“”"
from obspy import read, read_inventory
Load Stream Database
stt = read(pathname_or_url=’./download/HL/LXRA/HN?.00.20160104T072145Z.20160104T072745Z.mseed’)
print stt
Trim
utc_start = max([stt[0].stats.starttime,stt[1].stats.starttime,stt[2].stats.starttime])
starttime = utc_start
endtime = utc_start + 0.5*60.0
stt[0].trim(starttime, endtime)
stt[1].trim(starttime, endtime)
stt[2].trim(starttime, endtime)
sts = stt.copy()
Load Inventory Database
inv = read_inventory(’./download/HL/LXRA/sxml/LXRA.xml’)
Remove Instrumental Response
pre_filt = [0.05, 0.10, 30.0, 35.0]
stt.remove_response(inventory=inv,pre_filt=pre_filt,
zero_mean=True, taper=True)
stt.filter(‘bandpass’,freqmin=0.15,freqmax=30.0,corners=4,zerophase=True)
stt.taper(5.0/100.0,type=‘cosine’)
Plot
stt.plot(outfile=‘plot_trace_example_response.png’,format=‘png’)
#sts.remove_response(inventory=inv,zero_mean=True, taper=True)
sts.detrend(‘demean’)
sts.detrend(‘linear’)
sts.remove_sensitivity(inventory=inv)
sts.filter(‘bandpass’,freqmin=0.15,freqmax=30.0,corners=4,zerophase=True)
sts.detrend(‘demean’)
sts.detrend(‘linear’)
sts.taper(5.0/100.0,type=‘cosine’)
Plot
sts.plot(outfile=‘plot_trace_example_sensitivity.png’,format=‘png’)
