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@InProceedings{yang:ibic2020-thpp29,
author = {X. Yang and F.Z. Chen and L.W. Lai},
title = {{Application of Wavelet Algorithm in Tune Measurement}},
booktitle = {Proc. IBIC'20},
pages = {268--271},
paper = {THPP29},
language = {english},
keywords = {injection, storage-ring, SRF, booster, ECR},
venue = {Santos, Brazil},
series = {International Beam Instrumentation Conference},
number = {9},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {10},
year = {2020},
issn = {2673-5350},
isbn = {978-3-95450-222-6},
doi = {10.18429/JACoW-IBIC2020-THPP29},
url = {https://www.jacow.org/ibic2020/papers/thpp29.pdf},
note = {https://doi.org/10.18429/JACoW-IBIC2020-THPP29},
abstract = {Tune is a very important parameter for storage ring of advanced synchrotron radiation facilities. At present, fast Fourier transform (FFT) is the core algorithm of the beam spectrum analysis used in tune measurement. Taking into account the nonlinear effect in the accelerator, tune changes during the process of storage ring injection and booster energy upgrading. However, the Fourier method is used to analyse the global sampling point, and the ability to distinguish the local variation of the tune in the sampling time is poor. This paper leads wavelet analysis method as the core algorithm into beam spectrum analy-sis method, further analyses the change of the tune with beam amplitude in sampling time, and compares this new algorithm with the traditional Fourier method. New ex-perimental results and corresponding analysis for the data from SSRF will be introduced in this paper.},
}