https://doi.org/10.1140/epjc/s10052-017-5133-x
Regular Article - Theoretical Physics
Disentangling weak and strong interactions in
Dalitz-plot analyses
1
CNRS, Aix-Marseille Univ, Université de Toulon, CPT UMR 7332, 13288, Marseille Cedex 9, France
2
Laboratoire de Physique Théorique (UMR 8627), CNRS, Univ. Paris-Sud, Université Paris-Saclay, 91405, Orsay Cedex, France
3
Sorbonne Universités, UPMC Univ. Paris 06, UMR 7585, LPNHE, 75005, Paris, France
4
Université Paris Diderot, LPNHE UMR 7585, Sorbonne Paris Cité, 75252, Paris, France
5
Université de Strasbourg, CNRS, IPHC UMR 7178, 67000, Strasbourg, France
* e-mail: descotes@th.u-psud.fr
Received:
15
April
2017
Accepted:
6
August
2017
Published online:
19
August
2017
Dalitz-plot analyses of decays provide direct access to decay amplitudes, and thereby weak and strong phases can be disentangled by resolving the interference patterns in phase space between intermediate resonant states. A phenomenological isospin analysis of
decay amplitudes is presented exploiting available amplitude analyses performed at the BaBar, Belle and LHCb experiments. A first application consists in constraining the CKM parameters thanks to an external hadronic input. A method, proposed some time ago by two different groups and relying on a bound on the electroweak penguin contribution, is shown to lack the desired robustness and accuracy, and we propose a more alluring alternative using a bound on the annihilation contribution. A second application consists in extracting information on hadronic amplitudes assuming the values of the CKM parameters from a global fit to quark flavour data. The current data yields several solutions, which do not fully support the hierarchy of hadronic amplitudes usually expected from theoretical arguments (colour suppression, suppression of electroweak penguins), as illustrated from computations within QCD factorisation. Some prospects concerning the impact of future measurements at LHCb and Belle II are also presented. Results are obtained with the CKMfitter analysis package, featuring the frequentist statistical approach and using the Rfit scheme to handle theoretical uncertainties.
© The Author(s), 2017