Abstract

The full event interpretation is presented: a new exclusive tagging algorithm used by the high-energy physics experiment Belle II. The experimental setup of Belle II allows the precise measurement of otherwise inaccessible B meson decay modes. The Full Event Interpretation algorithm enables many of these measurements. The algorithm relies on machine learning to automatically identify plausible B meson decay chains based on the data recorded by the detector. Compared to similar algorithms employed by previous experiments, the Full Event Interpretation provides a greater efficiency, yielding a larger effective sample size usable in the measurement.

Highlights

  • The Belle II experiment is located at the SuperKEKB electron–positron collider in Tsukuba, Japan, and was commissioned in 2018

  • The Full Event Interpretation (FEI) algorithm presented in this article is a new exclusive tagging algorithm developed for the Belle II experiment, embedded in the Belle II Analysis Software Framework [2]

  • The FEI algorithm was developed for the Belle II experiment

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Summary

Introduction

The Belle II experiment is located at the SuperKEKB electron–positron collider in Tsukuba, Japan, and was commissioned in 2018. The experiment is designed to perform a. The measurement of the branching fraction of rare decays like B → , B → K or B → l , with undetectable neutrinos in their final states, is challenging. The second B meson in each event can be used to constrain the allowed decay chains. This general idea is known as tagging. Each Υ(4S) event is divided into two sides: the signal-side containing the tracks and clusters compatible with the assumed signal Bsig decay the physicist is interested in, e.g., a rare decay like B → ; and the tag-side containing.

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