Сравнение методов

	Реконструкция треков в физике высоких энергий	Алгоритм струй анти-kT
Область	Физика элементарных частиц	Физика элементарных частиц
Семейство	Process / pipeline	Process / pipeline
Год появления	1987	2008
Автор метода	Charged particle physics community	Matteo Cacciari and Gavin P. Salam
Тип	Pattern recognition method	Particle clustering algorithm
Основополагающий источник	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.
Другие названия	tracking, charged particle reconstruction, trajectory fitting	anti-kt clustering, anti-kT algorithm
Связанные	3	3
Сводка	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.