JACoW logo

Joint Accelerator Conferences Website

The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.

Title Sensitivity of the LHC Transverse Feedback System to Intra-Bunch Motion
  • G. Kotzian, W. Höfle, D. Valuch
    CERN, Geneva, Switzerland
Abstract The LHC Transverse Feedback System is designed to damp and counteract all possible coupled bunch modes between the lowest betatron frequency and 20 MHz. The present study reveals that the analogue frontend processing scheme based on down converting the pick-up signal at the LHC RF frequency to baseband considerably extends the detected bunch movements visible to the feedback system to beyond 1 GHz. We develop an analytical model of the signal processing chain to explore the impact of even-symmetric and odd-symmetric intra-bunch movements on the detected beam position as a function of the longitudinal bunch shape. A set of equations is derived suitable for numerical simulations, or as a complement in particle tracking codes to further refine the behaviour of the LHC transverse feedback system.
Paper download TUPIK093.PDF [0.248 MB / 4 pages]
Export download ※ BibTeX LaTeXText/WordRISEndNote
Conference IPAC2017, Copenhagen, Denmark
Series International Particle Accelerator Conference (8th)
Proceedings Link to full IPAC2017 Proccedings
Session Posters Tuesday 2
Date 16-May-17   16:00–18:00
Main Classification 06 Beam Instrumentation, Controls, Feedback and Operational Aspects
Sub Classification T05 Beam Feedback Systems
Keywords feedback, pick-up, simulation, hardware, impedance
Publisher JACoW, Geneva, Switzerland
Editors Volker RW Schaa (GSI, Darmstadt, Germany); Gianluigi Arduini (CERN, Geneva, Switzerland); Juliana Pranke (ESS, Lund, Sweden); Mike Seidel (PSI, Villigen, Switzerland); Mats Lindroos (ESS, Lund, Sweden)
ISBN 978-3-95450-182-3
Published May 2017
Copyright © 2017 by JACoW, Geneva, Switzerland     CC-BY Creative Commons License
cc Creative Commons Attribution 3.0