Project Proposals by CERN in 2020

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

• Workflow configuration import and validation for AliECS

• Container deployment performance across Grid sites

• Local replica of JAliEn central services for research and development

• Deep autoencoders for ATLAS data compression

• Deep Learning Algorithms for Muon Momentum Estimation in the CMS Trigger System

• Intelligent Alert Management System For HEP experiments

• Podman CVMFS integration

• End-to-end Deep Learning Reconstruction for CMS experiment

• Falcon - graph auto-encoders for fast detector simulation

• MCnet/CONTUR - Develop an interactive graphical interface for a physics re-interpretation tool

• MCnet/LHAPDF - Make the Large Hadron Collider’s proton structure library FAST!

• MCnet/Rivet - Speed and accuracy in the LHC’s MC analysis tool

• MCnet/YODA - Enhance a statistical toolkit for physics analysis interpretation

• MadGraph5 - offload event execution to accelerator devices

• Phoenix, interactive data visualization - Development of an experiment independent javascript event display framework and data format

• Fast Merging of RNTuple Data Sets

• Ipopt (Interior Point OPTimizer) for ROOT

• Native desktop integration for Exascale LHC Data Management

• Support for Rucio Users with Natural Language Processing

• Making Exabytes of LHC data seamlessly accessible on Jupyter Notebooks

• Health Checks and Monitoring Dashboard for ScienceBox

• TMVA Deep Learning Developments - 3D Convolutions

• TMVA Deep Learning Developments - Decision Tree Inference, Expansion of Supported Format

• TMVA Graph Neural Networks

• TMVA Deep Learning Developments - Inference

• TMVA Interfaces - Pytorch

• Implementation of Gilbert-Johnson-Keerthi Algorithm for Convex Shapes in VecGeom