Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| HEP Track Reconstruction× | Anti-kT Jet Algoritme× | |
|---|---|---|
| Vakgebied | Deeltjesfysica | Deeltjesfysica |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 1987 | 2008 |
| Grondlegger≠ | Charged particle physics community | Matteo Cacciari and Gavin P. Salam |
| Type≠ | Pattern recognition method | Particle clustering algorithm |
| Oorspronkelijke bron≠ | 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 ↗ |
| Aliassen≠ | tracking, charged particle reconstruction, trajectory fitting | anti-kt clustering, anti-kT algorithm |
| Verwant | 3 | 3 |
| Samenvatting≠ | 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. |
| ScholarGateGegevensset ↗ |
|
|