Speaker
Anthony Tran
(Facility for Rare Isotope Beams, Michigan State University)
Description
Beam 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).
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Primary author
Anthony Tran
(Facility for Rare Isotope Beams, Michigan State University)
Co-authors
Brahim Mustapha
(Argonne National Laboratory)
Yue Hao
(Facility for Rare Isotope Beams)
