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Latest revision as of 23:43, 23 May 2026
Particle Decays is a topic in particle-physics data analysis. Particle decays are transformations in which an unstable particle produces lighter final-state particles according to the allowed quantum numbers and interaction strengths. In experiments, decays provide the signatures used to discover particles, measure lifetimes, identify flavor, and test the Standard Model. Data analysis treats decays as both physics processes and reconstruction patterns made of tracks, vertices, showers, and missing energy. The lifetime of an unstable state is related to its decay width. Very short-lived resonances are reconstructed statistically from invariant-mass peaks, while longer-lived particles may produce displaced vertices or visible flight paths. A branching fraction is the probability that a particle decays through a particular channel.
Lifetime and width
The lifetime of an unstable state is related to its decay width. Very short-lived resonances are reconstructed statistically from invariant-mass peaks, while longer-lived particles may produce displaced vertices or visible flight paths.[1]
Branching fractions
A branching fraction is the probability that a particle decays through a particular channel. Measurements of branching fractions test couplings, symmetries, forbidden processes, and possible contributions from new physics.[2]
Reconstruction use
Decay chains are used to identify parent particles and suppress backgrounds. Constraints from known masses, vertex fits, charge combinations, and angular distributions improve reconstruction and interpretation.[3]
Overview
Particle Decays is used in particle-physics data analysis to turn detector output, simulated samples, and theoretical models into quantitative physics results. In high-energy experiments the term is connected with event selection, calibration, uncertainty treatment, validation, and comparison with Standard Model or beyond-Standard-Model predictions.
Analysis role
The analysis task is usually defined by the observable being measured or the signal being searched for. A robust workflow keeps raw detector information, reconstructed objects, simulated events, control samples, and statistical models traceable so that assumptions can be checked and systematic uncertainties can be propagated.
Practical considerations
In practice, particle decays must be documented with selection definitions, units, binning choices, correction factors, and reproducible code or configuration. This makes the result easier to compare across experiments and easier to reinterpret when improved simulations, calibrations, or theoretical predictions become available.[4]
See also
Table of contents (60 articles)
Index
Full contents
References
- ↑ Griffiths, David J. (2008). Introduction to Elementary Particles (2nd ed.). Wiley-VCH. ISBN 978-3-527-40601-2.
- ↑ "Review of Particle Physics". Physical Review D 110 (3): 030001. 2024. doi:10.1103/PhysRevD.110.030001.
- ↑ 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.
Source attribution: Physics:Quantum data analysis/Particle Decays
