Physics:Quantum data analysis/Event Measurements
Event measurements are the reconstructed quantities extracted from a single collision or from a selected ensemble of collisions. They include object momenta, charges, particle-identification values, vertices, missing momentum, event shapes, multiplicities, trigger decisions, and quality flags. These measurements are the immediate inputs to selections, histograms, fits, and physics interpretations.[1]
From signals to objects
Detector signals are converted into reconstructed objects such as tracks, clusters, jets, leptons, photons, vertices, and missing transverse momentum. Each object carries calibration, resolution, and identification information.[1]
Event-level variables
Event-level variables summarize the topology of a collision. Examples include invariant masses, scalar energy sums, angular separations, missing momentum, multiplicities, and quality requirements.[2]
Uncertainty propagation
Event measurements must propagate detector uncertainties and correlations into final distributions. Object-level calibrations can affect selections, background estimates, and fitted parameters.[3]
See also
Table of contents (60 articles)
Index
Full contents
References
- ↑ 1.0 1.1 Leo, William R. (1994). Techniques for Nuclear and Particle Physics Experiments. Springer. ISBN 978-3-540-57280-0.
- ↑ "Review of Particle Physics". Physical Review D 110 (3): 030001. 2024. doi:10.1103/PhysRevD.110.030001.
- ↑ Cowan, Glen (1998). Statistical Data Analysis. Oxford University Press. ISBN 978-0-19-850156-5.
Source attribution: Physics:Quantum data analysis/Event Measurements
