LINAC2024 - Proceedings
Chicago, IL, USA
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URLhttps://doi.org/10.18429/JACoW-LINAC2024-TUPB009
TitleTomography development at ATLAS
Authors
  • A. Tran
    Facility for Rare Isotope Beams, Michigan State University
  • B. Mustapha
    Argonne National Laboratory
  • Y. Hao
    Facility for Rare Isotope Beams
AbstractBeam tomography is a method for reconstructing the higher-dimensional beam from its lower-dimensional projections. This provides an understanding of the beam's transverse phase space, enabling better modeling and predicting downstream beam loss. We will show methods of extrapolating confidence intervals of our reconstructed beam and explore a new beam tomography algorithms using Markov Chain Monte Carlo (MCMC). \end{abstract}
Paperdownload: TUPB009.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
Conference32nd Linear Accelerator Conference (LINAC2024)
Series
LocationChicago, IL, USA
Date25-30 Aug 2024
PublisherJACoW Publishing, Geneva, Switzerland
Editorial BoardKelly Jaje (ANL), Kip Bishofberger (LANL), Ryan Brody (ANL), Gustavo Bruno (ANL), Jan Chrin (PSI), Cathy Eyberger (ANL), Maggie Montes (SLAC), Denise Skiadopoulos (ANL), Ling Wang (MSU/FRIB), Kent Wootton (ANL)
Online ISBN978-3-95450-219-6
Online ISSN2226-0366
Received20 August 2024
Revised27 August 2024
Accepted27 August 2024
Issued23 October 2024
DOI10.18429/JACoW-LINAC2024-TUPB009
Pages341-344
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