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ViaFerrata authored
- Implemented a better parser and implemented config files as an input to OrcaSong.
- Got rid of the ORCA_Geo_115lines.txt file, the detector geometry is now read from a .detx file that needs to be supplied with the input file.
- Improved general readability of the code
- fixed run_id readout
- added option to make no timecut
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Generating DL images based on KM3NeT data

The documentation for OrcaSong can be found at http://ml.pages.km3net.de/OrcaSong!

OrcaSong is a part of the Deep Learning efforts of the neutrino telescope KM3NeT.
Find more information about KM3NeT on http://www.km3net.org.

In this regard, OrcaSong is a project that produces KM3NeT event images based on the raw detector data. This means that OrcaSong takes a datafile with (neutrino-) events and based on this data, it produces 2D/3D/4D 'images' (histograms). Currently, only simulations with a hdf5 data format are supported as an input.

These event 'images' are required for some Deep Learning machine learning algorithms, e.g. Convolutional Neural Networks.