Charged-hadron identification at Belle II
Belle II Collaboration: I. Adachi, H. Ahmed, Y. Ahn, H. Aihara, N. Akopov, A. Albert, S. Alghamdi, M. Alhakami, A. Aloisio, N. Althubiti, K. Amos, M. Angelsmark, N. Anh Ky, C. Antonioli, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, M. Aversano, R. Ayad, V. Babu, H. Bae
TL;DR
This paper details the algorithms used by Belle II to identify charged hadrons, such as pions, kaons, and protons, and evaluates their performance with extensive data from the SuperKEKB collider.
Contribution
It introduces and assesses particle identification algorithms for charged hadrons in the Belle II experiment using a large dataset from SuperKEKB.
Findings
Effective separation of pions, kaons, and protons demonstrated
High identification efficiency achieved in real collider data
Algorithms improve Belle II's measurement sensitivity
Abstract
The Belle II experiment's ability to identify particles critically affects the sensitivity of its measurements. We describe Belle II's algorithms for identifying charged particles and evaluate their performance in separating pions, kaons, and protons using 426 fb of data collected at the energy-asymmetric collider SuperKEKB in 2019--2022 at center-of-mass energies at and near the mass of the .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.