597 citations · 643 across the 15 of their papers we have counts for
4 papers · 1 filter
Improving tracking algorithms with machine learning: a case for line-segment tracking at the High Luminosity LHC
Jonathan Guiang, Slava Krutelyov, Manos Vourliotis +10
In this work, we present a study on ways that tracking algorithms can be improved with machine learning (ML). We base this study on the line segment tracking (LST) algorithm that w…
Line Segment Tracking in the HL-LHC
Gavin Niendorf, Tres Reid, Peter Wittich +9
The major challenge posed by the high instantaneous luminosity in the High Luminosity LHC (HL-LHC) motivates efficient and fast reconstruction of charged particle tracks in a high…
Kalman Filter Tracking on Parallel Architectures
Giuseppe Cerati, Peter Elmer, Steven Lantz +6
Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors, but the fut…
Traditional Tracking with Kalman Filter on Parallel Architectures
Giuseppe Cerati, Peter Elmer, Steven Lantz +7
Power density constraints are limiting the performance improvements of modern CPUs. To address this, we have seen the introduction of lower-power, multi-core processors, but the fu…