Published June 20, 2022
| Version v1
Thesis
Open
Optimising the present and designing the future: a novel SPS injection system
Contributors
Supervisors:
Description
The Super Proton Synchrotron (SPS) injection system plays a fundamental role to preserve the quality of injected high-brightness beams for the Large Hadron Collider (LHC) physics program and to maintain the maximum storable intensity. The present system is the result of years of upgrades and patches of a system not conceived for such intensities and beam qualities. In this study, we first investigate the effect of emittance growth due to amplitude-dependent tune shifts for erroneously injected beams. As a next step, we propose the design of a completely new injection system for the SPS using multi-level numerical optimisation, including realistic hardware assumptions. Methods and pseudo-algorithms of how this hierarchical optimisation framework can be adapted to other situations for optimal accelerator system design are shown. In addition, we explore the benefits of a numerical optimisation framework for the current SPS injection kicker timing system to minimise residual injection oscillations for maximised delivered beam intensity. We also demonstrate how a simple neural network based upon recorded data can approximate the injection system as a surrogate model, allowing for further studies of different optimisation algorithms even without beam time.
Files
CERN-THESIS-2022-070.pdf
Files
(9.2 MB)
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Additional details
Identifiers
- CDS
- 2813209
- CDS Report Number
- CERN-THESIS-2022-070
CERN
- Department
- SY
- Programme
- CERN Technical Student Program
- Accelerator
- CERN SPS