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| Energia Trasversa Mancante× | Algoritmo anti-kT per jet× | |
|---|---|---|
| Campo | Fisica delle particelle | Fisica delle particelle |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1990 | 2008 |
| Ideatore≠ | Neutrino physics community (post-1960s) | Matteo Cacciari and Gavin P. Salam |
| Tipo≠ | Invisible particle detection method | Particle clustering algorithm |
| Fonte seminale≠ | Khachatryan, V., et al. (CMS Collaboration). (2014). Performance of missing transverse momentum reconstruction in proton-proton collisions at 7 TeV with ATLAS. Journal of High Energy Physics, 2012(07), 167. link ↗ | 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≠ | MET, missing transverse momentum, invisible energy | anti-kt clustering, anti-kT algorithm |
| Correlati | 3 | 3 |
| Sintesi≠ | Missing transverse energy (MET) is a powerful technique used in high-energy physics to infer the presence of invisible particles, primarily neutrinos, that escape a detector without leaving a trace. By measuring the imbalance of transverse momentum in the event, physicists can detect signatures of weakly interacting particles crucial for studying the Standard Model and searching for new physics beyond it. | 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. |
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