Antimatter annihilation vertex reconstruction with deep learning for ALPHA-g radial Time Projection Chamber

Antimatter annihilation vertex reconstruction with deep learning for ALPHA-g radial Time Projection Chamber

Abstract The ALPHA-g experiment at CERN aims to precisely measure the terrestrial gravitational acceleration of antihydrogen atoms. A radial Time Projection Chamber (rTPC), that surrounds the ALPHA-g magnetic trap, is employed to determine the annihilation location, called the vertex. The standard a...

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Bibliographic Details
Main Authors: A. Ferreira, M. Singh, Y. Saito, A. Capra, I. Carli, D. Duque Quiceno, W. Fedorko, M. C. Fujiwara, M. Li, L. Martin, G. Smith, A. Xu
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of High Energy Physics
Subjects:
Violation of Lorentz and/or CPT Symmetry
Specific BSM Phenomenology
Online Access:https://doi.org/10.1007/JHEP07(2025)250
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https://doi.org/10.1007/JHEP07(2025)250

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