Compară metode

	Algoritmul anti-kT pentru jeturi	Reconstrucția Traiectoriilor în Fizica Energiilor Înalte
Domeniu	Fizica particulelor	Fizica particulelor
Familie	Process / pipeline	Process / pipeline
Anul apariției	2008	1987
Autorul original	Matteo Cacciari and Gavin P. Salam	Charged particle physics community
Tip	Particle clustering algorithm	Pattern recognition method
Sursa seminală	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.
Denumiri alternative	anti-kt clustering, anti-kT algorithm	tracking, charged particle reconstruction, trajectory fitting
Înrudite	3	3
Rezumat	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.