An analysis framework for KM3NeT
Project description
KM3Pipe
KM3Pipe is a framework for KM3NeT related stuff including MC, data files, live access to detectors and databases, parsers for different file formats and an easy to use framework for batch processing.
The framework tries to standardise the way the data is processed within our collaboration by providing a Pipeline-class, which can be used to put together different built-in or user made Pumps and Modules. Pumps act as data readers/parsers (from files, memory or even socket connections) and Modules take care of data processing and output. Such a Pipeline setup can then be used to iteratively process data in a file. In our case for example we store several thousands of neutrino interaction events in a bunch of files and KM3Pipe is used to put together an analysis chain which processes each event one-by-one.
Although it is mainly designed for the KM3NeT neutrino detectors, it can easily be extended to support any kind of data formats. Feel free to get in touch if you’re looking for a small, versatile framework which provides a quite straightforward module system to make code exchange between your project members as easy as possible. KM3Pipe already comes with several types of Pumps (the modules which act as a data-parser/reader) so it should be easy to find an example to implement your owns. As of version 1.2.3 you find Pumps based on popular formats like HDF5 (https://www.hdfgroup.org), ROOT (https://root.cern.ch) but also some very specialised project internal binary data formats, which on the other hand can act templates for your own ones. Just have a look at the pumps subpackage and of course the documention if you’re interested!
Read the docs at http://km3pipe.readthedocs.org
KM3NeT related documentation (internal) at http://wiki.km3net.de/index.php/KM3Pipe
KM3NeT public project homepage http://www.km3net.org
Quick Install
To install the latest stable version:
pip install km3pipeIf you’re not using a virtual environment (https://virtualenvwrapper.readthedocs.org), you can install it in your own home directory, however I recommend using virtual environments for any Python related stuff.
pip install --user km3pipeTo install the latest developer version:
git clone git@github.com:tamasgal/km3pipe.git
cd km3pipe
pip install -e .
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