High-Accuracy Schottky Diagnostics for Low-SNR Betatron Tune Measurement in Ramping Synchrotrons
Peihan Sun, Manzhou Zhang, Renxian Yuan, Deming Li, Jian Dong, Ying Shi

TL;DR
This paper presents a real-time, FPGA-based betatron tune measurement algorithm using Schottky signals, achieving high accuracy in low-SNR, rapidly ramping synchrotrons, with applications to proton therapy facilities.
Contribution
It introduces a novel spectral analysis and peak detection method tailored for low-SNR conditions in fast-changing synchrotron environments, validated through simulations and experiments.
Findings
Improved measurement accuracy under low SNR (-20 dB).
Effective tracking of rapid revolution frequency changes.
Enhanced robustness and stability in real operational conditions.
Abstract
This study introduces a novel real-time betatron tune measurement algorithm, utilizing Schottky signals and an FPGA-based backend architecture, specifically designed for rapidly ramping synchrotrons, with particular application to the Shanghai Advanced Proton Therapy (SAPT) facility. The developed algorithm demonstrates improved measurement accuracy under challenging operational conditions, especially in scenarios with limited sampling time and signal-to-noise ratios (SNR) as low as \(-20\) dB. By applying Short-Time Fourier Transform (STFT) analysis, the algorithm effectively accommodates the rapid increase in revolution frequency from 4 MHz to 7.5 MHz over 0.35 seconds, along with tune shifts. A macro-particle simulation methodology is employed to generate Schottky signals, which are then combined with real noise collected from an analog-to-digital converter (ADC) to simulate…
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Taxonomy
TopicsNuclear Physics and Applications · Electron and X-Ray Spectroscopy Techniques · Silicon and Solar Cell Technologies
