Imperfections and corrections
R. Tom\'as, X. Buffat, J. Coello, E. Fol, L. Malina
TL;DR
This paper reviews common imperfections in accelerator optics, discusses measurement and correction algorithms, and provides Python examples demonstrating practical implementations for improving accelerator performance.
Contribution
It offers a comprehensive review of imperfections and correction methods in accelerator optics with practical Python code examples, emphasizing numerical approaches.
Findings
Identifies key imperfections affecting accelerator optics
Presents algorithms for measurement and correction
Provides Python implementations for practical use
Abstract
The measurement and correction of optics parameters has been a major concern since the advent of strong focusing synchrotron accelerators. A review of typical imperfections in accelerator optics together with measurement and correction algorithms is given with emphasis on numerical implementations. Python examples are shown using existing libraries when possible.
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Taxonomy
TopicsAdvanced Electrical Measurement Techniques · Particle Accelerators and Free-Electron Lasers · Soil Moisture and Remote Sensing