Particle data analysis is a computational technique used to process and interpret data from particle detectors in high-energy, nuclear, or astroparticle physics experiments. It encompasses event reconstruction, track finding, vertex reconstruction, particle identification, and energy/momentum estimation from raw detector signals. The method relies on statistical inference, likelihood fits, multivariate classification, and unfolding procedures to extract physical observables from detector-level quantities while correcting for efficiencies, resolutions, and backgrounds. Particle data analysis pipelines are typically implemented within specialized software frameworks and are essential for testing theoretical models and determining parameters such as cross sections, lifetimes, and branching ratios.
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