SciDAC Partnership with High Energy Physics

The SciDAC Partnership with HEP is focused on computational physics.


DOE Program Managers

Lali Chatterjee
High Energy Physics (HEP)

Randall Laviolette
Advanced Scientific Computing Research (ASCR)


Current Projects

Accelerating HEP Science: Inference and Machine Learning at Extreme Scales
This project aims to develop new methods and algorithms in the area of extreme-scale inference and machine learning and apply them to cosmological surveys across multiple wavebands and to event simulation and classification in collider and neutrino experiments.

Lead Investigator: Salman Habib
Argonne National Laboratory

Community Project for Accelerator Science and Simulation 4 (ComPASS4)
This project aims to both enable the use and to use HPC to advance accelerator science and technology in support of US HEP program.

Lead Investigator: James Amundson
Fermi National Accelerator Laboratory

HEP Data Analytics on HPC
This project aims to advance physics goals, with significant steps towards making available an unprecedented amount of computing cycles from the state-of-the-art HPC centers by: removing computing barriers within current HEP workflows, solving complex optimization issues and blending HPC facility software and services directly into HEP applications.

Lead Investigator: James Kowalkowski
Fermi National Accelerator Laboratory

HEP Event Reconstruction with Cutting Edge Computing Architectures
This project aims to boost the utilization of new computing architectures in HEP event reconstruction, particularly, for LHC experiments and neutrino experiments using Liquid Argon Time-Projection Chamber (LArTPC) detectors.

Lead Investigator: Giuseppe Cerati
Fermi National Accelerator Laboratory

SciDAC: HPC framework for event generation at colliders
This project aims at the construction of new Monte Carlo and Quasi Monte Carlo integrator for the simulation of high-energy collider experiments.

Lead Investigator: Stefan Hoeche
SLAC National Accelerator Laboratory