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Review of Particle Physics

Open access
al, W-M Yao et·2006·Journal of Physics G: Nuclear and Particle Physics

Abstract

This biennial Review summarizes much of particle physics. Using data from previous editions, plus 2633 new measurements from 689 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons. We also summarize searches for hypothetical particles such as Higgs bosons, heavy neutrinos, and supersymmetric particles. All the particle properties and search limits are listed in Summary Tables. We also give numerous tables, figures, formulae, and reviews of topics such as the Standard Model, particle detectors, probability, and statistics. Among the 110 reviews are many that are new or heavily revised including those on CKM quark-mixing matrix, V ud & V us , V cb & V ub , top quark, muon anomalous magnetic moment, extra dimensions, particle detectors, cosmic background radiation, dark matter, cosmological parameters, and big bang cosmology. A booklet is available containing the Summary Tables and abbreviated versions of some of the other sections of this full Review . All tables, listings, and reviews (and errata) are also available on the Particle Data Group website: http://pdg.lbl.gov .

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Metadata

Authors
al, W.-M. Y. E.
Venue
Journal of Physics G: Nuclear and Particle Physics
Published
2006-07-01
Volume
33
Issue
1
Pages
1-1232
ISSN
  • 0954-3899 (ISSN-L)
  • 1361-6471
OpenAlex
W3124311860
Cited by
4,087
References
0
FWCI
666.02
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Review of Particle Physics. https://app.cochat.ai/papers/10.1088/0954-3899/33/1/001
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al, W.-M. Y. E. (2006). Review of Particle Physics. Journal of Physics G: Nuclear and Particle Physics. https://doi.org/10.1088/0954-3899/33/1/001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.