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基于自适应BPM集合的费米实验室Mu2e输运环逐圈调谐分析*

Turn-by-turn Tune Analysis Using Adaptive BPM Ensembles in the Fermilab Mu2e Delivery Ring*

D. Steinkamp

arXiv 2609.10848首次发表:更新:

发表机构

Fermi National Accelerator Laboratory(费米国家加速器实验室)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

针对费米实验室Mu2e输运环的调谐监测,提出基于自适应BPM集合的逐圈分析,优于单一BPM与固定集合,提升调谐候选质量。

AI 中文摘要

费米实验室的Mu2e实验需要从输运环进行稳定的共振慢引出,这使得可靠的调谐监测成为一项重要的运行诊断。本研究探讨了基于BPM的调谐候选提取方法,利用分布在多个数字化仪上的同步逐圈位置数据。每个引出包含来自两个横向平面上多个BPM的大约50,000圈,从而能够对类调谐结构进行频谱分析。该分析捕获相干的引出快照,使用流时间戳验证同步性,并在可配置的水平与垂直调谐带内计算调谐候选。该方法不依赖单一BPM或固定BPM列表,而是逐引出评估BPM质量,并选择小的自适应BPM集合。一项多引出研究表明,调谐可观测性是分布且动态的,而非集中于一个全局最优BPM。与单一BPM选择相比,自适应集合提高了调谐候选质量,其中垂直平面的结果最为清晰。水平平面显示出有用的排序结构,但在当前阈值下可见性较弱。对固定全局BPM集合的直接评估表明,静态选择无法再现动态的逐引出性能。这些结果促使采用自适应BPM集合方法进行输运环调谐分析,使用选定的BPM子集、置信度指标和质量标志,而非单一首选BPM或固定BPM列表。

英文摘要

The Mu2e experiment at Fermilab requires stable resonant slow extraction from the Delivery Ring, making reliable tune monitoring an important operational diagnostic. This work investigates BPM-based tune-candidate extraction using synchronized turn-by-turn position data distributed across multiple digitizers. Each spill contains approximately 50,000 turns from many BPMs in both transverse planes, enabling spectral analysis of tune-like structure. The analysis captures coherent spill snapshots, verifies synchronization using stream timestamps, and computes tune candidates in configurable horizontal and vertical tune bands. Rather than relying on a single BPM or fixed BPM list, it evaluates BPM quality on a spill-by-spill basis and selects small adaptive BPM ensembles. A multi- spill study shows that tune observability is distributed and dynamic rather than concentrated in one globally optimal BPM. Adaptive ensembles improve tune-candidate quality compared with single-BPM selections, with the clearest results in the vertical plane. The horizontal plane shows useful ranking structure but weaker visibility under present thresholds. Direct evaluation of fixed global BPM sets shows that static selections do not reproduce dynamic per-spill performance. These results motivate an adaptive BPM-ensemble approach for Delivery Ring tune analysis using selected BPM subsets, confidence metrics, and quality flags rather than a single preferred BPM or fixed BPM list.

CommentsIBIC2026 - 15th International Beam Instrumentation Conference

论文原文

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