Clustering of B -> D(*)tau- nu(tau) kinematic distributions with ClusterKinG

Aebischer, Jason; Kuhr, Thomas und Lieret, Kilian (2020): Clustering of B -> D(*)tau- nu(tau) kinematic distributions with ClusterKinG. In: Journal of High Energy Physics, Nr. 4, 007

Abstract

New Physics can manifest itself in kinematic distributions of particle decays. The parameter space defining the shape of such distributions can be large which is chalenging for both theoretical and experimental studies. Using clustering algorithms, the parameter space can however be dissected into subsets (clusters) which correspond to similar kinematic distributions. Clusters can then be represented by benchmark points, which allow for less involved studies and a concise presentation of the results. We demonstrate this concept using the Python package ClusterKinG, an easy to use framework for the clustering of distributions that particularly aims to make these techniques more accessible in a High Energy Physics context. As an example we consider B over bar -> D) (tau-nu over bar tau distributions and discuss various clustering methods and possible implications for future experimental analyses.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Physik
• Themengebiete: 500 Naturwissenschaften und Mathematik > 530 Physik
• ISSN: 1029-8479
• Sprache: Englisch