10 Jun
2015
10 Jun
'15
9:18 a.m.
Hi Ayo,
Le 09/06/2015 00:47, dejikuponiyi(a)yahoo.com a écrit :
Hi Thomas et al.,
Great work done with the MSNoise package. Installation and processing seem really
seamless and documentation was adequate.
Thanks :)
After running the whole steps, I have a couple of questions:
The final cross-correlation (sac) files are missing some of the headers (distance, date,
station pair names etc.) which should have been calculated (or included) in the course of
the computation (I wrote a short code to update the station table on MySQL with instrument
code (BHZ, HHZ etc.), coordinates (X,Y) in DEG ).
Well, I never needed this. Carmelo
provided a PR for it, but it's
incomplete and he submitted it at the time of the switch betwenn MSNoise
1.2 to 1.3. This should be included indeed, feel free to provide patches
/ new features via github and I'll merge them in the main code !
Is the instrument response correction automatically done if I just supply the instrument
types (like BH, HH, EH), considering that the stations are of different instrument types
(BH, HH and EH)?
Currently, no instrument response is done, this is mentionned in
the doc
(http://msnoise.org/doc/workflow.html#module-msnoise.s03compute_cc). I
am currently thinking on how to add this properly (flat file with
dataless, sac paz, something compatible with obspy anyway...)
If I wanted to run the process without spectral whitening, what would be the best way
exclude the process (it might be probably handy to include this option in the msnoise
config for future releases)?
You have to edit the code, in s03compute_cc.py, to
remove whitening.
Indeed, for a future version, this could be an option in the config.
Cheers from Brussels,
Thomas
Cheers,
Ayo
Sent from Surface Pro
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