240 citations · 508 across the 12 of their papers we have counts for
3 papers · 1 filter
A Non-Linear Kalman Filter for track parameters estimation in High Energy Physics
Xiaocong Ai, Heather M. Gray, Andreas Salzburger +1
The Kalman Filter is a widely used approach for the linear estimation of dynamical systems and is frequently employed within nuclear and particle physics experiments for the recons…
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…