Project Proposals by CERN in 2018

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.

Project List

• Rucio - Exascale data management

• Rucio - Extension with new ways to authenticate & authorize

• Rucio - Billion-row scalable and flexible metadata

• Rucio - ‘Sync & Share’ interface for exabyte-scale multi-location data management

• Rucio - WebDAV/HTTP-based transfer orchestration

• Rucio - WebExtension for browser-based storage interaction

• Implement Event based Seeding and Multi-Threading

• Petabyte-Scale Cloud Storage File Manager

• 4D Visualization of events in the CMS endcap calorimeter

• CernVM-FS powered WebAssembly I/O

• Tessellated geometry support for DD4hep and ROOT/TGeo

• Large-scale computing backend for Jupyter notebooks - HTCondor batch job submission and monitoring using the Ganga toolkit

• Utilise RK interpolation and vectorisation for field propagation

• GDML I/O for VecGeom geometry package

• Vectorization of electromagnetic physics models within the GeantV simulation vector prototype

• Profiling reports data warehouse and presentation

• Monitoring DIRAC components

• 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

• Open-Source Simulations for Gas Detector on Python

• Efficient storage of versioned ROOT files in a git repository

• ROOT Package Manager

• Message Passing Interface for ROOT (ROOTMpi)

• Distributed Big Data Analysis with TDataFrame

• Generalise the ROOT Parallel Declarative Analysis Framework to non-HEP Big Data

• Implementation of a new Unfolding Procedure

• Improvements in vectorization and parallelization of ROOT Math libraries

• Development of Goodness of fit tests for weighted histograms

• Code Benchmark and Consolidation in SixTrack

• SixTrack continuous integration and test coverage with CDash and coverity

• Optimize and Integrate Standalone Tracking Library (SixTrackLib)

• New physics models in SixTrack

• Convolutional Deep Neural Networks on GPUs for Particle Physics Applications

• Generative Adversarial Networks for Particle Physics Applications

• Tensorflow-TMVA Interface

• Additional Machine Learning Project Ideas and Areas of Interest

• WLCG Lightweight Site Configuration

• WLCG Lightweight Site Orchestration

• Enabling Big Data Analytics on Physics Data with the “Hadoop-XRootD Connector” Library