Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Anti-kT lidziņu algoritms× | HEP treku rekonstrukcija× | |
|---|---|---|
| Nozare | Daļiņu fizika | Daļiņu fizika |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2008 | 1987 |
| Autors≠ | Matteo Cacciari and Gavin P. Salam | Charged particle physics community |
| Tips≠ | Particle clustering algorithm | Pattern recognition method |
| Pirmavots≠ | Cacciari, 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 ↗ |
| Citi nosaukumi≠ | anti-kt clustering, anti-kT algorithm | tracking, charged particle reconstruction, trajectory fitting |
| Saistītās | 3 | 3 |
| Kopsavilkums≠ | 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. |
| ScholarGateDatu kopa ↗ |
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