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https://doi.org/10.18429/JACoW-IPAC2017-WEPIK119
Title Lost Muon Study for the Muon g-2 Experiment at Fermilab
Authors
  • J.D. Crnkovic, W. Morse
    BNL, Upton, Long Island, New York, USA
  • S. Ganguly
    University of Illinois at Urbana-Champaign, Urbana, USA
  • D. Stratakispresenter
    Fermilab, Batavia, Illinois, USA
Abstract The Fermilab Muon g-2 Experiment has a goal of measuring the muon anomalous magnetic moment to a precision of 140 ppb - a fourfold improvement over the 540 ppb precision obtained by the BNL Muon g-2 Experiment. Some muons in the storage ring will interact with material and undergo bremsstrahlung, emitting radiation and loosing energy. These so called lost muons will curl in towards the center of the ring and be lost, but some of them will be detected by the calorimeters. A systematic error will arise if the lost muons have a different average spin phase than the stored muons. Algorithms are being developed to estimate the relative number of lost muons, so as to optimize the stored muon beam. This study presents initial testing of algorithms that can be used to estimate the lost muons by using either double or triple detection coincidences in the calorimeters.
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Conference IPAC2017, Copenhagen, Denmark
Series International Particle Accelerator Conference (8th)
Proceedings Link to full IPAC2017 Proccedings
Session Posters Wednesday 2
Date 17-May-17   16:00–18:00
Main Classification 05 Beam Dynamics and Electromagnetic Fields
Sub Classification D02 Non-linear Single Particle Dynamics - Resonances, Tracking, Higher Order, Dynamic Aperture, Code
Keywords storage-ring, positron, background, quadrupole, experiment
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
Copyright © 2017 by JACoW, Geneva, Switzerland     CC-BY Creative Commons License
cc Creative Commons Attribution 3.0