TUPCO11

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URL	https://doi.org/10.18429/JACoW-IBIC2025-TUPCO11
Title	Evaluating machine learning models for multimode-fiber-based transverse beam profile reconstruction
Authors	Q. Xu European Organization for Nuclear Research, University of Liverpool, Cockcroft Institute A. Hill, C. Welsch, H. Zhang University of Liverpool, Cockcroft Institute D. Metin, F. Roncarolo, G. Trad, S. Burger, W. Farabolini European Organization for Nuclear Research P. Korysko University of Oxford
Abstract	Transverse beam profile monitoring is essential for safe and efficient accelerator operation. In high-radiation environments such as beam dumps, cameras degrade rapidly. To address this, a single multimode fiber (MMF) transmission system was previously tested to transport scintillation light from a screen to a remote camera. Because multiple guided modes are excited and coupled during propagation, the fiber output does not preserve the image and requires reconstruction. This contribution evaluates seven machine-learning reconstruction models for recovering the original transverse beam distribution from MMF output. Using data from the MMF-relayed Chromox screen campaign at CERN’s CLEAR facility, the study compares models in terms of reconstruction error, convergence speed, and run-to-run stability, with particular attention to the use of incoherent light. The results indicate robust options for radiation-tolerant, MMF-based transverse diagnostics.
Paper	download: TUPCO11.pdf
Cite	BibTeX, LaTeX, Text/Word, RIS, EndNote
Conference	14th International Beam Instrumentation Conference
Series
Location	Liverpool, UK
Date	07-11 Sep 2025
Publisher	JACoW Publishing, Geneva, Switzerland
Editorial Board	Narender Kumar (Editor-in-Chief) - UoL/CI, UK Robert Apsimon - CI, UK Thankonwat Chanwattana - SLRI, Thailand Zhichu Chen - SARI, China Eunhoon Im - IBS, Korea Jangwon Kwon - IBS, Korea Milaan Patel - UoL/CI, UK Volker RW Schaa - GSI, Germany Jana Thomson -TRIUMF, Canada Bradley Wilson, STFC, UK Hao Zhang, UoL/CI, UK
Online ISBN	978-3-95450-262-2
Online ISSN	2673-5350
Received	03 September 2025
Revised	05 September 2025
Accepted	08 September 2025
Issued	20 January 2026
DOI	10.18429/JACoW-IBIC2025-TUPCO11
Pages	373-376
Copyright	Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.