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Akvo
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Surface NMR processing and inversion GUI
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Trevor Irons f6f79fcefc Support for off-resonance pulses was added, additionally file name changes have been put into place to better differentiate kernal and data files. Other bug fixes to .dmp files have been made, although .dmp file are still not robust for late stage processing. 4 anni fa
akvo Support for off-resonance pulses was added, additionally file name changes have been put into place to better differentiate kernal and data files. Other bug fixes to .dmp files have been made, although .dmp file are still not robust for late stage processing. 4 anni fa
INSTALL.txt Update install.txt and test of hook 6 anni fa
LICENCE LICENSE file change for GitHub 6 anni fa
LICENSE Create LICENSE 6 anni fa
README.md 1.0.14 5 anni fa
_config.yml Set theme jekyll-theme-leap-day 7 anni fa
akvologo.svg Pulled SVN into GIT. 7 anni fa
bir.sh Pulled SVN into GIT. 7 anni fa
publish.sh 1.0.13 update to GUI for formatting 5 anni fa
pyuic.json Work towards kernel calc inside Akvo 5 anni fa
setup.py Support for off-resonance pulses was added, additionally file name changes have been put into place to better differentiate kernal and data files. Other bug fixes to .dmp files have been made, although .dmp file are still not robust for late stage processing. 4 anni fa

README.md

Akvo

Akvo provides processing of surface NMR data. It aims to be simple to use yet flexible for accommodating changes to processing flow. Akvo is written primarily in Python 3 with a small amount of R as well. The application is written around a Qt GUI with plotting provided by Matplotlib.

The bleeding-edge code may be accessed using the git client

git clone https://git.lemmasoftware.org/akvo.git

or, using our GitHub mirror

git clone https://github.com/LemmaSoftware/akvo.git

Installation

Installation is straightforward. The only prerequisite that is sometimes not properly handled is PyQt5 which sometimes needs to be manually installed.

python3 setup.py build 
python3 setup.py install

Alternatively, release versions can be installed via pip

pip install akvo

Team

Akvo is developed by several teams including the University of Utah. If you would like to contribute, please send an email to info(at)lemmasoftware.org.

Capabilities

Akvo currently has preprocessing capabilities for VistaClara GMR data.

Benefits

Reproducibility

Processing steps are retained and logged in the processed file header, which is written in YAML. This allows data processing to be repeatable.

Open source

Akvo is truly open source, anyone can access, use, and change the source code.

Languages

Akvo is written primarily in Python 3. The graphical user interface is written in PyQt5. An interface to modelling software written in C++ (Lemma and Merlin) is in development.