CBM RICH ring reconstruction using machine learning
M. Beyer; L.J. Ahrens; M. Becker; A.A. Deshmukh; M. Dürr; C. Feier-Riesen; J. Förtsch; F. Hollfoth; C. Höhne; K.-H. Kampert; J. Michel; S. Neuhaus; C. Pauly; S. Peter; J. Peña-Rodríguez; D. Pfeifer; S. Reiter; K. Scharmann; P. Subramani; M. Traxler
- Published
- Publisher
- Elsevier BV
- Journal / collection
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
- Research area
- AI & compute
- Source type
- Journal article
- DOI
- 10.1016/j.nima.2026.171412
The original publisher provides the full text and its access options.
Cite this source
M. Beyer; L.J. Ahrens; M. Becker; A.A. Deshmukh; M. Dürr; C. Feier-Riesen; J. Förtsch; F. Hollfoth; C. Höhne; K.-H. Kampert; J. Michel; S. Neuhaus; C. Pauly; S. Peter; J. Peña-Rodríguez; D. Pfeifer; S. Reiter; K. Scharmann; P. Subramani; M. Traxler. CBM RICH ring reconstruction using machine learning. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2026-07. https://doi.org/10.1016/j.nima.2026.171412