MSNoise 1.6 Released!

More than 2 years after the last major release (MSNoise 1.5) I’m proud to announce the new MSNoise 1.6. It is a major release, with a massive amount of work since the last one: in GitHub numbers , it’s over 190 commits and over 4000 lines of code and documentation changed or added!

End of summer is also a very special period for MSNoise, as it has been 9 years since Corentin contacted Florent and that I immediately started working on this package. 2010-2019. Nine years. Wow. MSNoise has now a few thousand lines of code and more than 100 pages of documentation, it is widely used and scientists around the globe use it and even make super cool publications out of their results! So proud!

MSNoise 1.6 introduces a series of new features :

  • The workflow has been rewritten to create “job types” per step, making it easier for users to reset a jobs before a specific step.
  • This and other smaller adaptations to the code allows to run MSNoise more efficiently, e.g. on a HPC.
  • The components to compute can be defined for “single-station” and “cross-station” independently.
  • The compute_cc step has been completely rewritten to be much, much faster.
  • A new db top level command, which among others include dump and import commands for handling the tables from the database.
  • A new Interaction Examples & Gallery section of the documentation in order to demonstrate how users can interact with the MSNoise API, e.g. for creating custom plots.

As always, this version has benefited from outputs/ideas/pull requests/questions from several users/friends.

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 70 publications using MSNoise! That’s the best validation of our project ever and it has doubled since last release!!

Thomas

Full release notes for 1.6: http://msnoise.org/doc/releasenotes/msnoise-1.6.html

MSNoise 1.5 released !

Dear community & friends,

About 1 year after the last major release (MSNoise 1.4) we are proud to announce the new MSNoise 1.5. It is a major release, with a massive amount of work since the last one: in GitHub numbers , 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 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.

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.

MSNoise 1.4 Released !

Hi all,

Just over a year after the last major release (MSNoise 1.3) we are proud to announce the new MSNoise 1.4. It is a major release, with a massive amount of work since the last one: in GitHub numbers , it’s over 125 commits and about 5500 new lines of code and documentation added!

MSNoise 1.4 introduces four major new features : a new ultra-intuitive web-based admin interface, the support for plugins and extensions, the phase weighted stack and the instrument response removal. It also brings the possibility to parallel/thread process the cross-correlation and the MWCS steps. MSNoise is now “tested” automatically on Linux (thanks to TravisCI) & Windows (thanks to Appveyor), for Python versions 2.7, 3.4 and 3.5. Yes, MSNoise is Python 3 compatible !!! See the full Release Notes: http://msnoise.org/doc/releasenotes/msnoise-1.4.html

This version has benefited from outputs/ideas/pull requests/questions from several users/friends:

Carmelo Sammarco
Esteban Chaves
Lion Krisher
Tobias Megies
Clare Donaldson
Aurélien Mordret
Raphaël De Plaen
Lukas E. Preiswerk
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 12 publications using MSNoise ! That’s the best validation of our project ever ! See the full list on the MSNoise website.

Thomas & Corentin

MSNoise 1.3 is Released !

8 months after the last bugfix release (MSNoise 1.2.5), and 17 months after the last major release (MSNoise 1.2) we are proud to announce the new MSNoise 1.3. It is a major release, with a massive amount of work since the last release: in GitHub numbers , it’s over 100 commits and about 3500 new lines of code and documentation added ! MSNoise 1.3 introduces a brand new way of executing the workflow. The workflow in itself doesn’t change, so experienced users as well as new users reading the SRL publication will find their way easily!

MSNoise is now a Python Package, allowing a single (and easy) install for all your projects and/or all users using pip install msnoise. The new top-level msnoise command contains all the steps of the workflow, plus new additions, as the very useful reset command to easily mark all jobs “T”odo. The msnoise plot command group which includes seven plots, all directly callable from the command line, without needing to hack/edit the source codes. About hacking: MSNoise has now a proper documented API which allows pythonistas to write their own plots, computation steps, …, while interacting with the database and the data archive! The “dynamic time lag” allows to use parts of the coda that is dependent from the interstation distance (provided station coordinates are defined). Finally, MSNoise is now tested and automatically checked by Travis-CI!

This version has benefited from outputs/ideas/pull requests/questions from several users:

  • Rebecca Kramer
  • Carmelo Sammarco
  • Oscar Alberto Castro Artola
  • Kasper van Wijk
  • Kohtaro R. Araragi
  • Esteban Chaves
  • Adrian Shelley
  • Weston Thelen
  • Robert Abbott
  • Jean Battaglia
  • Sébastien Carniato
  • Xiao Wang
  • Lion Krisher
  • Tobias Megies
  • all participants to the 2014 Pre-AGU MSNoise workshop
  • 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!)!

Thomas

MSNoise in the real world of Monitoring

It’s been 16 months MSNoise 1.0 has been available on Github, and 5 months the SRL paper is out… And, to my knowledge, MSNoise is already running on cron on three sites:

  • May 2014: Running on the Auckland Volcanic Field (Kasper Van Wijk): link
  • July 2014: Running on the Piton de La Fournaise (La Réunion)
  • September 2014: Running on the “2014 South Napa Earthquake” composite network (Taka’aki Taira): link

Let me know if you use MSNoise !

MSNoise 1.2.5 released

Some bugfixes (thanks to all reporters) and improvements for this release:

  • Bugfix: station ordered by net, sta
  • Bugfix: s03 -> remove explicit MSEED
  • Bugfix: database_tools: add gps2DistAzimuth import
  • Bugfix: s07 -> left, right are now defined from the first plot
  • Improvement: Add support for manual DB.ini path
  • Improvement: Cleaner s07 plot script
  • Improvement: s03: add taper to each slice before FFT in whiten
  • Improvement: s01: add headonly=True arg to the read function, should make the archive scan faster
  • Minor Documentation update

Download Latest Release

MSNoise in SRL !

Dear MSNoise users,

I’m very pleased to announce that the paper Corentin, Florent and I submitted 1 year ago has finally been published in the Electronic Seismologist (ES) column in the May/June issue of Seismological Research Letters ! The great advantage of ES is that it is fully open access !!

here is the link :
http://srl.geoscienceworld.org/content/85/3/715.full

to cite MSNoise:

Lecocq, Thomas, Corentin Caudron, et Florent 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.