At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. They use the world’s largest and most complex scientific instruments to study the basic constituents of matter – the fundamental particles.
Rucio - ‘Sync & Share’ interface for exabyte-scale multi-location data management
Utilise RK interpolation and vectorisation for field propagation
Vectorization of electromagnetic physics models within the GeantV simulation vector prototype
Integration of the HDF5 file format within the LHCb analysis framework
Extension and characterisation of the LHCb data isolation drone neural networks
Monitoring and traceability of jobs in a large distributed computing Grid
Efficient storage of versioned ROOT files in a git repository
Generalise the ROOT Parallel Declarative Analysis Framework to non-HEP Big Data
Improvements in vectorization and parallelization of ROOT Math libraries
Development of Goodness of fit tests for weighted histograms
SixTrack continuous integration and test coverage with CDash and coverity
Optimize and Integrate Standalone Tracking Library (SixTrackLib)
Convolutional Deep Neural Networks on GPUs for Particle Physics Applications
Generative Adversarial Networks for Particle Physics Applications
Additional Machine Learning Project Ideas and Areas of Interest
Enabling Big Data Analytics on Physics Data with the “Hadoop-XRootD Connector” Library