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Computing

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Explorative Projects (LDRD)

Computing actively participates in the Fermilab Laboratory Directed Research and Development (LDRD) program. LDRD is a national program sponsored by the Department of Energy that allows national laboratories to internally fund R&D projects that are novel and explorative of new ideas or concepts.

Current projects

  • Accelerator-based Dark Matter Initiatives at Fermilab
  • Accelerator Control with Artificial Intelligence
  • Breaking the Big Data Bottleneck and Meeting the Real-time Constraints of Multi-messenger Astronomy in DUNE and LSST with Computational Storage and Machine Learning
  • Developing simulation-based Inference to enable next-generation cosmological discoveries
  • Graph Neural Networks for Accelerating Calorimetry and Event Reconstruction
  • Numerical Integration on GPUs
  • Q-NetARCH: Software defined network architecture for quantum networks

Past projects

  • Application-Oriented Network Traffic Analysis based on GPUs
  • High Energy Physics Pattern Recognition with an Automata Processor
  • Implement open source HEP NoSQL database
  • Increasing the photon detector light efficiency in a liquid argon detector by an order of magnitude
  • Modeling physical systems with deep learning algorithms
  • Off-the-Shelf Data Acquisition System
  • Preparing HEP reconstruction and analysis software for exascale era computing
  • Silicon precision timing detectors for minimum ionizing particles
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