240 citations · 508 across the 12 of their papers we have counts for
14 papers
TASI 2022 lectures on LHC experiments
Heather M. Gray
The field of experimental particle physics studies the fundamental particles and forces that constitute matter and radiation. Frequently the experimental tools used to enable this…
Detector R&D needs for the next generation collider
A. Apresyan, M. Artuso, J. Brau +25
The 2021 Snowmass Energy Frontier panel wrote in its final report "The realization of a Higgs factory will require an immediate, vigorous and targeted detector R&D program". Both l…
Exploration of different parameter optimization algorithms within the context of ACTS software framework
Rocky Bala Garg, Elyssa Hofgard, Lauren Tompkins +1
Particle track reconstruction, in which the trajectories of charged particles are determined, is a critical and time consuming component of the full event reconstruction chain. The…
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…
The Tracking Machine Learning challenge : Throughput phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura +18
This paper reports on the second "Throughput" phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform. As in the first "Accuracy" phase, the participants…