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Observation of the Decay D^{0}→K^{-}π^{+}e^{+}e^{-}
J P Lees1, V Poireau1, V Tisserand1
1Laboratoire d'Annecy-le-Vieux de Physique des Particules (LAPP), Université de Savoie, CNRS/IN2P3, F-74941 Annecy-Le-Vieux, France.
Physical Review Letters
|April 2, 2019
Summary
Researchers observed the rare charm decay D0→K-π+e+e- using BABAR detector data. The branching fraction was measured to be (4.0±0.5±0.2±0.1)×10^-6, consistent with the Standard Model.
Area of Science:
- Particle Physics
- High-Energy Physics
- Quantum Chromodynamics
Background:
- The Standard Model of particle physics predicts certain decay modes for charm mesons.
- Rare decays provide sensitive probes of fundamental interactions and potential new physics.
- Previous observations of similar decays, like D0→K-π+μ+μ-, offer comparative data.
Purpose of the Study:
- To report the first observation of the rare charm decay D0→K-π+e+e-.
- To measure the branching fraction of this decay within a specific invariant mass range for the dilepton pair.
- To compare the measured branching fraction with theoretical predictions from the Standard Model and with related muon decay modes.
Main Methods:
- Analysis of 468 fb^-1 of e+e- annihilation data collected by the BABAR detector at the ϒ(4S) resonance.
- Selection criteria applied to identify the D0→K-π+e+e- decay signature.
- Use of the D0→K-π+π+π- decay as a normalization channel to determine the branching fraction.
Main Results:
- Observation of the D0→K-π+e+e- decay with a significance of 9.7 standard deviations.
- Measured branching fraction B(D0→K-π+e+e-) = (4.0±0.5±0.2±0.1)×10^-6 for 0.675
- A 90% confidence level upper limit of B(D0→K-π+e+e-)<3.1×10^-6 was determined in regions where long-distance effects are potentially small.
Conclusions:
- The observed branching fraction is consistent with the Standard Model expectations.
- The result aligns with the previously measured branching fraction for the corresponding muon decay channel.
- This observation contributes to the understanding of rare charm decays and provides constraints on theoretical models.
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