Deep Learning project for the neutrino telescope KM3NeT-ORCA

Analysis framework for KM3NeT related data, heavily based on NumPy.

Monitoring scripts for the KM3NeT neutrino telescope.

Docker containers allow to isolate and simplify how to create environments which contain all the libraries, dependencies and binaries to execute programs. We want to use these containers to facilitate the process of compiling the LM32 code.

A thin Jpp wrapper. High performance and high level coding.

Series of script and tools to automate DAQ node installation and setup

Code for tau appearance with KM3NeT/ORCA using DL reco

spec file for building a subset of the boost libraries into an rpm package for the KM3NeT experiment

A collection of data processing and analysis pipelines based on the Common Workflow Language.

Publishing KM3NeT data to the virtual observatory

Deep Learning project for the neutrino telescope KM3NeT-ORCA

Repo for my analysis programs/macros, which are typically based on the Nikhef oscillation analysis package MONA.