Comparer des méthodes

	Reconstruction de trajectoires en physique des hautes énergies	Algorithme de jet anti-kT
Domaine	Physique des particules	Physique des particules
Famille	Process / pipeline	Process / pipeline
Année d'origine	1987	2008
Auteur d'origine	Charged particle physics community	Matteo Cacciari and Gavin P. Salam
Type	Pattern recognition method	Particle clustering algorithm
Source fondatrice	Fruhwirth, R. (1987). Application of Kalman filtering to track and vertex fitting. Nuclear Instruments and Methods in Physics Research Section A, 262(2-3), 444–450.	Cacciari, M., Salam, G. P., & Sapeta, S. (2008). On the characterisation of the underlying event. Journal of High Energy Physics, 2008(04), 063.
Alias	tracking, charged particle reconstruction, trajectory fitting	anti-kt clustering, anti-kT algorithm
Apparentées	3	3
Résumé	Track reconstruction is the process of identifying and measuring the trajectories of charged particles through a detector, providing momentum and impact parameter information essential for particle identification, vertex reconstruction, and physics analysis in high-energy physics experiments.	The anti-kT jet algorithm, introduced by Cacciari and Salam in 2008, is a sequential recombination jet clustering algorithm widely used in high-energy physics to group final-state particles into jets. Unlike earlier algorithms, anti-kT produces jets with regular cone-like geometries in transverse momentum-rapidity space, making it ideal for precision measurements and new physics searches.