Comparer des méthodes

	Algorithme de jet anti-kT	Reconstruction de trajectoires en physique des hautes énergies
Domaine	Physique des particules	Physique des particules
Famille	Process / pipeline	Process / pipeline
Année d'origine	2008	1987
Auteur d'origine	Matteo Cacciari and Gavin P. Salam	Charged particle physics community
Type	Particle clustering algorithm	Pattern recognition method
Source fondatrice	Cacciari, M., Salam, G. P., & Sapeta, S. (2008). On the characterisation of the underlying event. Journal of High Energy Physics, 2008(04), 063.	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.
Alias	anti-kt clustering, anti-kT algorithm	tracking, charged particle reconstruction, trajectory fitting
Apparentées	3	3
Résumé	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.	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.