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Related Experiment Video

Updated: May 23, 2026

Setting Limits on Supersymmetry Using Simplified Models
07:46

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Published on: November 15, 2013

Constraint on parity-violating muonic forces.

Vernon Barger1, Cheng-Wei Chiang, Wai-Yee Keung

  • 1Department of Physics, University of Wisconsin, Madison, Wisconsin 53706, USA.

Physical Review Letters
|April 3, 2012
PubMed
Summary
This summary is machine-generated.

We constrained exotic forces affecting muons by studying kaon decays. This research limits new physics explanations for the proton size anomaly, particularly those with invisible or long-lived gauge bosons.

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Area of Science:

  • Particle Physics
  • High Energy Physics
  • Beyond Standard Model Physics

Background:

  • The proton size anomaly presents a discrepancy between measurements using different probes.
  • Exotic parity-violating gauge interactions have been proposed as a potential explanation.
  • Leptonic kaon decays offer a sensitive probe for new physics phenomena.

Purpose of the Study:

  • To constrain exotic parity-violating gauge interactions of the right-handed muon.
  • To test specific models explaining the proton size anomaly.
  • To limit scenarios involving invisible or long-lived gauge bosons.

Main Methods:

  • Analysis of the nonobservance of missing mass events in the leptonic kaon decay K→μX.
  • Application of experimental constraints to theoretical models.
  • Calculation of bounds on new gauge interactions.

Main Results:

  • A strong constraint is placed on exotic parity-violating gauge interactions of the right-handed muon.
  • Scenarios explaining the proton size anomaly involving such new forces are constrained.
  • The parameter space for invisible or long-lived gauge bosons is limited.

Conclusions:

  • The study provides stringent limits on new physics beyond the Standard Model.
  • The nonobservance of missing mass in kaon decays is a powerful tool for probing new forces.
  • Exotic interactions involving right-handed muons are disfavored by current experimental data.