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proceedings of accelerator conferences held around the world
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| URL | https://doi.org/10.18429/JACoW-HB2025-WEIAC04 |
|---|---|
| Title | Super-resolution reconstruction algorithm applied to the reconstruction of electron beam transverse phase space based on the scanning slit method |
| Authors |
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| Abstract | Electron beam injectors, critical to light sources and ultrafast diffraction systems, need precise transverse phase space diagnostics for optimizing beam quality. The slit-scanning method, often combined with computed tomography (CT), is common for non-presumptive phase space reconstruction but has resolution limits due to sparse sampling and constraints of devices/experimental conditions.This study proposes a deep learning-based super-resolution framework to address these issues. Integrating beam transport physics with neural networks, it effectively recovers phase space details from limited slit-scanning data, overcoming resolution degradation in low-data regimes. Compared with traditional methods, it significantly improves reconstructed transverse phase space resolution, better reflecting electron beam transverse performance.Coupled with beam dynamics simulations, it offers systematic engineering solutions for high-fidelity diagnostics, boosting characterization efficiency and reducing accelerator commissioning costs. This research provides an approach to enhance beam transverse phase space reconstruction accuracy, contributing notably to modern particle accelerator technology. |
| Paper | download: WEIAC04.pdf |
| Cite | BibTeX, LaTeX, Text/Word, RIS, EndNote |
| Conference | 71st ICFA Adv. Beam Dyn. Workshop High-Intensity High-Bright. Hadron Beams |
| Series | |
| Location | Huizhou, China |
| Date | 19-24 Oct 2025 |
| Publisher | JACoW Publishing, Geneva, Switzerland |
| Editorial Board | Zhichu Chen (SARI) Lin Bian (IHEP) Lu Li (IMPCAS) |
| Online ISBN | 978-3-95450-266-0 |
| Online ISSN | 2673-5571 |
| Received | 15 October 2025 |
| Revised | 19 October 2025 |
| Accepted | 23 October 2025 |
| Issued | 05 December 2025 |
| DOI | 10.18429/JACoW-HB2025-WEIAC04 |
| Pages | 105-109 |
| 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. |