The 2B^2 Tagger

The oscillations of neutral B mesons between their particle and anti-particle state provides a source of CP violation. In order to study the CP violation and the asymmetries within these neutral B meson systems, the flavour of the B meson (whether it was a B or Bbar) at the time of production needs to be known, hence the need for B-tagging. Many current B-tagging algorithms are based around the usage of single tracks, meaning it does not take advantage of the geometry, kinematics and position of the rest of the event hindering their overall performance. A novel approach called The 2B^2 Tagger is proposed here which differs from conventional techniques by focusing on the usage of two track vertices instead. Then by leveraging on proven techniques seen in the analysis of B hadrons as well as machine learning, the proposed algorithm tries to cover the pitfalls of current taggers and the initial results are promising."