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https://doi.org/10.18429/JACoW-SRF2019-WETEB6
Title Active Suppression of Microphonics Detuning in High QL Cavities
Authors
  • N. Banerjee, G.H. Hoffstaetter, M. Liepe, P. Quigley
    Cornell University (CLASSE), Cornell Laboratory for Accelerator-Based Sciences and Education, Ithaca, New York, USA
Abstract Accelerators operating with low beam loading such as Energy Recovery Linacs (ERL) greatly benefit from using SRF cavities operated at high loaded quality factors, since it leads to lower RF power requirements. However, large microphonics detuning several times the operating bandwidth of the cavities severely limit the maximum accelerating fields which can be sustained in a stable manner. In this talk, I will describe an active microphonics control technique based on the narrow band Active noise Control (ANC) algorithm which we have used in CBETA, a multi-turn SRF ERL being commissioned at Cornell University. I will describe its stability and performance during beam operations of CBETA with consistent reduction of peak detuning by almost a factor of 2 on multiple cavities.
Funding This work was performed through the support of New York State Energy Research and Development Agency (NYSERDA). SRF 2019 provided travel support in the form of a student grant.
Paper download WETEB6.PDF [0.450 MB / 5 pages]
Slides download WETEB6_TALK.PDF [10.296 MB]
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Conference SRF2019
Series International Conference on RF Superconductivity (19th)
Location Dresden, Germany
Date 30 June-05 July 2019
Publisher JACoW Publishing, Geneva, Switzerland
Editorial Board Peter Michel (HZDR, Dresden, Germany); André Arnold (HZDR, Dresden, Germany); Volker RW Schaa (GSI, Darmstadt, Germany)
Online ISBN 978-3-95450-211-0
Online ISSN ""
Received 23 June 2019
Accepted 29 June 2019
Issue Date 14 August 2019
DOI doi:10.18429/JACoW-SRF2019-WETEB6
Pages 776-780
Copyright
Creative Commons CC logoPublished by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.