Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Reconstrucción de trazas en HEP× | Algoritmo de jets anti-kT× | |
|---|---|---|
| Campo | Física de partículas | Física de partículas |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1987 | 2008 |
| Autor original≠ | Charged particle physics community | Matteo Cacciari and Gavin P. Salam |
| Tipo≠ | Pattern recognition method | Particle clustering algorithm |
| Fuente seminal≠ | 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 ↗ | Cacciari, M., Salam, G. P., & Sapeta, S. (2008). On the characterisation of the underlying event. Journal of High Energy Physics, 2008(04), 063. link ↗ |
| Alias≠ | tracking, charged particle reconstruction, trajectory fitting | anti-kt clustering, anti-kT algorithm |
| Relacionados | 3 | 3 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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