7 Oct
2016
7 Oct
'16
7:23 p.m.
Thanks Thomas!
We will!
-Esteban
On Oct 7, 2016, at 5:00 AM,
msnoise-request(a)mailman-as.oma.be wrote:
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1. Re: MSNoise Digest, Vol 31, Issue 1 (VICIC BLAZ [PHD0900016])
2. Re: MSNoise Digest, Vol 31, Issue 1 (Thomas Lecocq)
----------------------------------------------------------------------
Message: 1
Date: Fri, 7 Oct 2016 05:49:18 +0000
From: "VICIC BLAZ [PHD0900016]" <BLAZ.VICIC(a)phd.units.it>
To: "Python Package for Monitoring Seismic Velocity Changes using
AmbientSeismic Noise" <msnoise(a)mailman-as.oma.be>
Subject: Re: [MSNoise] MSNoise Digest, Vol 31, Issue 1
Message-ID:
<VI1PR04MB1389D35A8164302922C86CB9A3C60(a)VI1PR04MB1389.eurprd04.prod.outlook.com>
Content-Type: text/plain; charset="Windows-1252"
Thank you on clarification of responses!
Bla?
________________________________
From: msnoise-bounces(a)mailman-as.oma.be <msnoise-bounces(a)mailman-as.oma.be> on
behalf of Flinders, Ashton <aflinders(a)usgs.gov>
Sent: Friday, October 7, 2016 1:16:46 AM
To: Python Package for Monitoring Seismic Velocity Changes using AmbientSeismic Noise
Subject: Re: [MSNoise] MSNoise Digest, Vol 31, Issue 1
Thanks for all the info Thomas! I'm coming from an AN tomography
background, so things are a little different to me, e.g. I tend to
preprocess, whiten and do the CC over a broad band, and then do different
narrow-band filtering on the final stacked CC to get my frequency-band
dependent dt's.
I look forward to actively contributing, so I'll be sure to push any
problems I encounter to the github thread too.
On a sidenote, is the python3 version stable, or still a work in progress?
thanks again!
ashton
On Thu, Oct 6, 2016 at 1:30 PM, Thomas Lecocq <Thomas.Lecocq(a)seismology.be>
wrote:
Dear All,
small note here:
pleaaaase, if something is not clear in the Documentation and you think
that, after asking your questions and getting answers from the mailing
list, you have suggestions to be more accurate, precise or else, don't
hesitate to suggest changes (via github issues, pull requests or even
email), it'll be beneficial to all users!
I'm the worst person to write doc about MSNoise, because I know it too
well.
Cheers
Thomas
On 06/10/2016 19:17, Esteban Chaves wrote:
--
Ashton F. Flinders, Ph.D
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025
(650) 329-5050
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------------------------------
Message: 2
Date: Fri, 7 Oct 2016 10:28:48 +0200
From: Thomas Lecocq <thomas.lecocq(a)oma.be>
To: msnoise(a)mailman-as.oma.be
Subject: Re: [MSNoise] MSNoise Digest, Vol 31, Issue 1
Message-ID: <570e92d8-4cee-bdbf-1184-173420e947e2(a)oma.be>
Content-Type: text/plain; charset=utf-8; format=flowed
Hi Ashton,
For you to know, we are "about" to release MSNoise-TOMO "soon"...
The python3 version is as stable as the python2 one, both are tested
continuously on independent CI services (Travis for Linux & Appveyor for
Windows).
Note that this holds "as long as" I don't need py3 specific things in
the code base, because if this happens, I'll drop py2 support.
Aaaaanyway, py2 end of life is 2020.
Cheers,
Thomas
Le 07/10/2016 ? 01:16, Flinders, Ashton a ?crit :
Hi Ashton,
As an active user:
I highly recommend you to check the documentation:
http://msnoise.org/doc/workflow.html#module-msnoise.s03compute_cc <
http://msnoise.org/doc/workflow.html#module-msnoise.s03compute_cc>
I think the pre-processing and processing steps are well documented in
the web site.
1) Yes. It is more efficient to compute the cross-correlation functions
or Green?s functions using 30-min chunks. Although you can change this
feature if you will. Segments are re-build afterwards.
2) You need to define the filters in order to compute the
cross-correlations and extract the coherent part of the ambient noise for a
given frequency range. MWCS is used to compute the moving window cross
spectral analysis after the cross-correlation procedure.
3) dunno. May be Thomas can give you more info.
-Esteban J. Chaves
On Oct 6, 2016, at 5:00 AM, msnoise-request(a)mailman-as.oma.be wrote:
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----------------------------------------------------------------------
Message: 1
Date: Wed, 5 Oct 2016 13:10:53 -0700
From: "Flinders, Ashton" <aflinders(a)usgs.gov>
To: <msnoise(a)mailman-as.oma.be>
Subject: [MSNoise] new user
Message-ID:
<CAPbWHEO7J_9dyMdKJ3SQkpGy9hG7N1M-COwgzGTpkVmy85ig5g@mail.
gmail.com>
Content-Type: text/plain; charset="UTF-8"
Hi all, long-time obspy user new MSnoise user.
I just had a couple quick questions I was hoping to get clarification on;
From the SRL article;
>
"Once all waveforms are loaded in memory, the computation is done by
iteration of the station pairs, on the different components to compute
and
the on the different filters for each defined window (30 minutes slices
by
default)."
1) To be clear, the two time-series from a station-station pair are
divided
into segments (30 minutes long, no overlap, by default), and the CC is
done
on these segments? Are these segments then rebuilt into the daily CCF? Is
this segmentation purely for efficieny reasons, or is there something
else
going on?
2) Why does msnoise compute_cc, not work if there is no MCWS filter
defined?
3) Is there an intelligent way to search the mailing list archive?
Thanks for the help!
-ashton
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End of MSNoise Digest, Vol 31, Issue 1
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Thanks for all the info Thomas! I'm coming
from an AN tomography
background, so things are a little different to me, e.g. I tend to
preprocess, whiten and do the CC over a broad band, and then do different
narrow-band filtering on the final stacked CC to get my frequency-band
dependent dt's.
I look forward to actively contributing, so I'll be sure to push any
problems I encounter to the github thread too.
On a sidenote, is the python3 version stable, or still a work in progress?
thanks again!
ashton
On Thu, Oct 6, 2016 at 1:30 PM, Thomas Lecocq <Thomas.Lecocq(a)seismology.be>
wrote:
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End of MSNoise Digest, Vol 31, Issue 5
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