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https://doi.org/10.18429/JACoW-IPAC2017-WEPAB135
Title Novel Implementation of Non-parametric Density Estimation in MICE
Authors
  • T.A. Mohayai
    IIT, Chicago, Illinois, USA
  • D.V. Neuffer, P. Snopok
    Fermilab, Batavia, Illinois, USA
  • C.T. Rogers
    STFC/RAL/ASTeC, Chilton, Didcot, Oxon, United Kingdom
  • P. Snopok
    Illinois Institute of Technology, Chicago, Illlinois, USA
Abstract Cooled muon beams are essential to enable future Neutrino Factory and Muon Collider facilities. The international Muon Ionization Cooling Experiment (MICE) aims to demonstrate muon beam cooling through ionization energy loss in material. A figure of merit for muon cooling in MICE is the transverse root-mean-square (RMS) emittance reduction and to measure this, the individual muon positions and momenta are reconstructed using two scintillating-fiber tracking detectors housed in spectrometer solenoid modules. The reconstructed positions and momenta before and after a low-Z absorbing material are then used for constructing the covariance matrix and measuring normalized transverse RMS emittance of MICE muon beam. In this study, the direct measurement of phase-space density and volume as measures of the efficacy of muon beam cooling in MICE, using the density estimation techniques is described.
Funding Work supported by the U.S. Department of Energy under contract No. DE-AC05-06OR23100.
Paper download WEPAB135.PDF [0.327 MB / 3 pages]
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Conference IPAC2017, Copenhagen, Denmark
Series International Particle Accelerator Conference (8th)
Proceedings Link to full IPAC2017 Proccedings
Session Posters Wednesday 1
Date 17-May-17   16:00–18:00
Main Classification 03 Novel Particle Sources and Acceleration Techniques
Sub Classification A09 Muon Accelerators and Neutrino Factories
Keywords emittance, experiment, lattice, beam-cooling, solenoid
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