HEP advanced tracking algorithms
with cross-cutting applications (Project HEP.TrkX)
This is an HEP/ASCR DOE pilot project to evaluate and broaden the range of
computational techniques and algorithms utilized in addressing HEP tracking challenges.
Specifically the project will provide a
framework to develop and evaluate new algorithms for track finding and
classification, that will be demonstrated by applying advanced pattern recognition
techniques to track candidate formation. For example, an optimized track formation algorithm that
scales linearly with LHC luminosity, rather than quadratically or worse, may lead by itself to an order of
magnitude improvement in the track processing throughput without affecting the
track identification performance, hence maintaining the physics performance intact in the LHC upgrades.
collaborators, partners & toolkits