[MSNoise] MSNoise Digest, Vol 31, Issue 1

Fri Oct 7 05:49:18 UTC 2016

Thank you on clarification of responses!

Blaž

________________________________
From: msnoise-bounces at mailman-as.oma.be <msnoise-bounces at mailman-as.oma.be> on behalf of Flinders, Ashton <aflinders at 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 at 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:
>
>> 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 at mailman-as.oma.be wrote:
>>>
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>>> Today's Topics:
>>>
>>>    1. new user (Flinders, Ashton)
>>>
>>>
>>> ----------------------------------------------------------------------
>>>
>>> Message: 1
>>> Date: Wed, 5 Oct 2016 13:10:53 -0700
>>> From: "Flinders, Ashton" <aflinders at usgs.gov>
>>> To: <msnoise at mailman-as.oma.be>
>>> Subject: [MSNoise] new user
>>> Message-ID:
>>>         <CAPbWHEO7J_9dyMdKJ3SQkpGy9hG7N1M-COwgzGTpkVmy85ig5g at 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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--
Ashton F. Flinders, Ph.D
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025
(650) 329-5050
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