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  • ViaFerrata's avatar
    0ea7b519
    Major update. · 0ea7b519
    ViaFerrata authored 
    - Remove all optional arguments in the parser. Now, a config file is always needed! Updated docs due to this.
- Added default_config.toml file
- Implemented automatic generation of API docs
- Fix __version__.py
- Added flush_freq argument in the HDF5Sink.
- Minor other fixes.
    0ea7b519
    History
    Major update.
    ViaFerrata authored 
    - Remove all optional arguments in the parser. Now, a config file is always needed! Updated docs due to this.
- Added default_config.toml file
- Implemented automatic generation of API docs
- Fix __version__.py
- Added flush_freq argument in the HDF5Sink.
- Minor other fixes.
getting_started.rst 12.43 KiB

Getting started with OrcaSong

Introduction

On this page, you can find a step by step introduction into the usage of OrcaSong. The guide starts with some exemplary root simulation files made with jpp and ends with hdf5 event 'images' that can be used for deep neural networks.

Preprocessing

Let's suppose you have some KM3NeT simulation files in the ROOT dataformat, e.g.:

/sps/km3net/users/kmcprod/JTE_NEMOWATER/withMX/muon-CC/3-100GeV/JTE.KM3Sim.gseagen.muon-CC.3-100GeV-9.1E7-1bin-3.0gspec.ORCA115_9m_2016.99.root

The file above contains simulated charged-current muon neutrinos from the official 2016 23m ORCA production. Now, we want to produce neutrino event images based on this data using OrcaSong.