SMuK 2023 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 77: Flavor VI
T 77.3: Vortrag
Mittwoch, 22. März 2023, 18:00–18:15, HSZ/0401
Enhancing data exploitation with public likelihoods — •Lorenz Gaertner1, Thomas Kuhr1, Danny van Dyk2, Lukas Heinrich3, Méril Reboud2, and Slavomira Stefkova4 — 1Ludwig-Maximilians-Universität, München, DE — 2IPPP, Durham University, Durham, UK — 3Technical University Munich, München, DE — 4Karlsruhe Institute of Technology, Karlsruhe, DE
The results published using data from high-energy experiments have large scientific potential beyond initial publication. To maximize the scientific impact of the data and the corresponding likelihood of the results, facilitating reuse for combination, reinterpretation, and the generation of pseudo data should be made standard practice.
A channel with a potentially high benefit from reinterpretation in terms of new physics models is the rare B+ → K+ ν ν decay, for which a search is conducted by the Belle II collaboration. The observables arising from such decays are very sensitive to many new physics models. Due to the experimental challenge arising from two final state neutrinos, the analysis of this decay requires assumptions on the kinematic distribution. Consequently, the results feature a model dependency arising from both (beyond) standard model assumptions and from the description of the pertinent hadronic matrix element. This dependency makes reinterpretation complicated without reanalysing the underlying data. By exploring methods to perform result-level reweighting of published likelihoods according to new theoretical models, we want to study the effect on the likelihoods and interpret the physical significance.