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Anti-kT 제트 알고리즘×고에너지 물리학 트랙 재구성×
분야입자물리학입자물리학
계열Process / pipelineProcess / pipeline
기원 연도20081987
창시자Matteo Cacciari and Gavin P. SalamCharged particle physics community
유형Particle clustering algorithmPattern recognition method
원전Cacciari, M., Salam, G. P., & Sapeta, S. (2008). On the characterisation of the underlying event. Journal of High Energy Physics, 2008(04), 063. link ↗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. DOI ↗
별칭anti-kt clustering, anti-kT algorithmtracking, charged particle reconstruction, trajectory fitting
관련33
요약The 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.
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