This thesis work presents lifetime measurements of heavy-flavour mesons made with semileptonic B0 and Bs0 decays based on 3 fb−1 of data collected with the LHCb detector in proton-proton collisions at centre-of-mass energies of 7 and 8 TeV. The study of meson lifetimes is important to constrain phenomenological models for hadronic interactions based on the Standard Model of particle physics. Better understanding of hadronic interactions is essential for making precise predictions, which can then be confronted to experimental data in order to look for signs of physics beyond the Standard Model.
We measure the differences between the decay widths of the Bs0 and B0 mesons, Δ(B), and between that of the Ds− and D− mesons, Δ(D), by analysing approximately 410000 Bs0→Ds(∗)−μ+νμ and 110000 B0→D(∗)−μ+νμ decays, which are partially reconstructed in the same K+K−π−μ+ final state. We measure
Δ(B)=−0.0115±0.0053 (stat)±0.0041 (syst) ps−1
and
Δ(D)=1.0131±0.0117 (stat)±0.0065 (syst) ps−1.
Using the obtained values of Δ(D) and Δ(B) and the B0 and D− lifetimes as external inputs, we obtain a measurement of the flavour-specific Bs0 lifetime,
τsfs=1.547±0.013 (stat)±0.010 (syst)±0.004 (τB0) ps,
and of the Ds− lifetime,
τDs−=0.5064±0.0030 (stat)±0.0017 (syst)±0.0017 (τD−) ps,
where the last uncertainties originate from the limited knowledge of the B0 and D− lifetimes, respectively. Both results are compatible with, and improve upon, previous determinations.
A feasibility study of a D0 lifetime measurement is performed, by measuring the difference between the decay widths of the D0 and D− mesons, Δ(D)′. We reconstruct approximately 2.2×106 B0→D∗−(→Dˉ0(→K+π−)π−)μ+νμ and 1.6×106 B0→D(∗)−(→K+π−π−(X))μ+νμ decays. We measure
Δ(D)′=1.4644±0.0043 (stat)±0.0132 (syst) ps−1
and with the D− lifetime as external input, we get an estimate of the D0 lifetime,
τD0=0.4122±0.0007 (stat)±0.0022 (syst)±0.0011 (τD−) ps.
This result is compatible with, but less precise than, current precision and thus validates the method. We discuss possible improvements with larger simulation samples and data sets.