568 citations · 669 across the 6 of their papers we have counts for
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physics.ins-det2021★ 6 cited
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…
physics.ins-det2021★ 9 cited
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…