HEP advanced tracking algorithms with cross-cutting applications (Project HEP.TrkX)
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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.
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