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| Time-of-Flight PID× | HEP-Spur-Rekonstruktion× | |
|---|---|---|
| Fachgebiet | Teilchenphysik | Teilchenphysik |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1970 | 1987 |
| Urheber≠ | Classical measurement technique | Charged particle physics community |
| Typ≠ | Timing-based method | Pattern recognition method |
| Wegweisende Quelle≠ | Heilbronn, L. H., & Zeitlin, C. (2010). Measurement of particle identification efficiencies. Nuclear Instruments and Methods in Physics Research Section B, 268(23-24), 3577–3583. 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 ↗ |
| Aliasnamen | ToF, flight time measurement, velocity measurement | tracking, charged particle reconstruction, trajectory fitting |
| Verwandt | 3 | 3 |
| Zusammenfassung≠ | Time-of-Flight (ToF) particle identification measures the time taken for a particle to travel a known distance, enabling determination of the particle's velocity and mass. This complementary technique to Cherenkov and ionization energy loss provides robust particle separation across wide momentum ranges in modern detectors. | 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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