[MSNoise] MSNoise 1.5

[Thomas Lecocq]

Dear community,

About 1 year after the last major release (MSNoise 1.4 
<http://msnoise.org/doc/releasenotes/msnoise-1.4.html>) we are proud to 
announce the new MSNoise 1.5 
<http://msnoise.org/doc/releasenotes/msnoise-1.5.html#>. It is a *major* 
release, with a massive amount of work since the last one: in GitHub 
numbers 
<https://github.com/ROBelgium/MSNoise/graphs/contributors?from=2016-06-02&to=2017-04-28&type=c> 
, it’s over 120 commits and over 2500 lines of code and documentation 
changed or added!

MSNoise 1.5 introduces a series of *new features* :

  * We have started to move core math functions to ObsPy, currently the
    only one ready is linear_regression, a function I wrote to remove
    the dependency to |statsmodels|, required to move mwcs to ObsPy later.
  * The preprocessing routine has been isolated, rewritten and
    optimized. It is now a standalone script, callable by plugins. It
    returns a Stream object with all the data needed for the analysis.
  * This change in preprocessing was done mostly to allow
    cross-component, auto- correlation and cross-correlation, with or
    without rotation, to be done with the same code. CC, SC and AC are
    now supported in MSNoise with proper whitening (possible to disable
    spectral whitening for specific cases).
  * This documentation is now available in PDF
    <http://msnoise.org/doc/MSNoise.pdf> too (easier for offline usage)
    and it also includes a new tutorial for setting up the MySQL server
    and Workbench.
  * Last but not least: MSNoise is “tested” automatically on Linux
    (thanks to TravisCI) & Windows (thanks to Appveyor), for Python
    versions 2.7 and 3.5. With MSNoise 1.5 we also added the MacOSX
    tests on TravisCI. With these tests, we can guarantee MSNoise works
    on different platforms and Anaconda (or miniconda) python versions.

This version has benefited from outputs/ideas/pull requests/questions 
from several users/friends (listed alphabetically):

  * Raphael De Plaen
  * Clare Donaldson
  * Robert Green
  * Aurelien Mordret
  * Lukas Preiswerk
  * The participants to the NERC MSNoise Liverpool Workshop in January 2017
  * all others (don’t be mad :-) )

Thanks to all for using MSNoise, and please, let us know why/how you use 
it (and please cite it!)!

To date, we found/are aware of 25 publications using MSNoise ! That’s 
the best validation of our project ever ! See the full list on the 
MSNoise website <http://www.msnoise.org/they-cite-msnoise/>.

/Thomas, Corentin and others/

------------------------------------------------------------------------

PS: if you use MSNoise for your research and prepare publications, 
*please consider citing it*:

*Lecocq, T., C. Caudron, et F. Brenguier (2014)*, MSNoise, a Python 
Package for Monitoring Seismic Velocity Changes Using Ambient Seismic 
Noise, /Seismological Research Letters/, 85(3), 715‑726, 
doi:10.1785/0220130073.


-- 
Dr. Thomas Lecocq
Geologist - Seismologist

Seismology - Gravimetry
Royal Observatory of Belgium

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