Abstract

Beam energy spread, and related beam motion, increase the difficulty in tuning for multipulse radiographic experiments at the dual-axis radiographic hydrodynamic test facility's axis-II linear induction accelerator (LIA). In this article, we describe an optimization method to reduce the energy spread by adjusting the timing of the cell voltages (both unloaded and loaded), either advancing or retarding, such that the injector voltage and summed cell voltages in the LIA result in a flatter energy profile. We developed a nonlinear optimization routine which accepts as inputs the 74 cell-voltage, injector voltage, and beam current waveforms. It optimizes cell timing per user-selected groups of cells and outputs timing adjustments, one for each of the selected groups. To verify the theory, we acquired and present data for both unloaded and loaded cell-timing optimizations. For the unloaded cells, the preoptimization baseline energy spread was reduced by 34% and 31% for two shots as compared to baseline. For the loaded-cell case, the measured energy spread was reduced by 49% compared to baseline.

Highlights

  • The dual-axis radiographic hydrodynamic test (DARHT) facility at Los Alamos National Laboratory (LANL) uses high-energy x rays from two perpendicular axes to perform multipulse radiographic experiments

  • As a result of changes in operational settings such as lower injector voltage, lower cell voltages (225 to 200 kV) and beam current (1.85 to 1.65 kA), the energy spread is about Æ1:2 percent

  • This paper describes a theory and methodology to minimize beam energy spread using optimized cell timing

Read more

Summary

INTRODUCTION

The dual-axis radiographic hydrodynamic test (DARHT) facility at Los Alamos National Laboratory (LANL) uses high-energy x rays from two perpendicular axes to perform multipulse radiographic experiments. As a result of changes in operational settings such as lower injector voltage, lower cell voltages (225 to 200 kV) and beam current (1.85 to 1.65 kA), the energy spread is about Æ1:2 percent. This paper describes a theory and methodology to minimize beam energy spread using optimized cell timing. It is an entirely new approach, not previously tried on any LIA. The peaks of some cell voltages will fill in the valleys of others making an overall flatter result with less temporal variation

OPTIMIZATION METHOD
UNLOADED CELLS
Baseline
Predicted
Measured
Sensitivity analysis
LOADED CELLS
Findings
CONCLUSIONS

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.