Speaker
Sergei Kladov
(University of Chicago)
Description
Microbunching damping in relativistic electron beams is strongly influenced by
the inverse dispersion terms of the transport map, which couple the transverse
phase-space coordinates to the longitudinal displacement. In this work, we use
microbunching damping as a diagnostic and as an optimization objective for
lattice tuning in linear accelerators: the residual dispersion is minimized by
maximizing the observed microbunching amplification. Experimental measurements
are compared with numerical particle tracking and with analytical predictions.
The results show that microbunching-based dispersion characterization is a
faster alternative to conventional dispersion measurements and therefore enables
more efficient lattice optimization.
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Author
Sergei Kladov
(University of Chicago)
Co-authors
Claudio Emma
(SLAC National Accelerator Laboratory)
Zhirong Huang
(SLAC National Accelerator Laboratory)