337 citations · 1.8k across the 49 of their papers we have counts for
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A Common Tracking Software Project
Xiaocong Ai, Corentin Allaire, Noemi Calace +29
The reconstruction of the trajectories of charged particles, or track reconstruction, is a key computational challenge for particle and nuclear physics experiments. While the tunin…
A GPU-based Kalman Filter for Track Fitting
Xiaocong Ai, Georgiana Mania, Heather M. Gray +2
Computing centres, including those used to process High-Energy Physics data and simulations, are increasingly providing significant fractions of their computing resources through h…
Tracking with A Common Tracking Software
Xiaocong Ai
In high energy physics (HEP) experiments, the reconstruction of charged particle trajectories is one of the most fundamental yet computationally expensive parts of event processing…
ATLAS data quality operations and performance for 2015-2018 data-taking
ATLAS Collaboration
The ATLAS detector at the Large Hadron Collider reads out particle collision data from over 100 million electronic channels at a rate of approximately kHz, with a recording r…
Acts: A common tracking software
Xiaocong Ai
The reconstruction of charged particle trajectories is one of the most complex and CPU consuming parts of event processing in high energy experiments. At future hadron colliders su…