Abstract
Since the last 20 years, modern heuristic algorithms and machine learning have been increasingly used for several purposes in accelerator technology and physics. Since computing power has become less and less of a limiting factor, these tools have become part of the physicist community’s standard toolkit [1][2] [3] [4] [5]. This paper describes the construction of an algorithm that can be used to generate an optimised lattice design for transfer lines under the consideration of restrictions that usually limit design options in reality. The developed algorithm has been applied to the existing SIS18 to HADES transfer line in GSI.
Highlights
Beside the necessary instrumentation, transfer lines usually consist of quadrupoles, dipoles, steerer magnets and buncher cavities
A common circular vacuum chamber of 0.12 m diameter is assumed throughout the entire transfer line
Trivial solution In case of no additional aperture limitations besides the vacuum chamber, one can estimate the length of the transfer line where the beam goes through without losses
Summary
Transfer lines usually consist of quadrupoles, dipoles, steerer magnets and buncher cavities. For showing the idea, assumed that the geometry of the transfer line is given, which means that the number and position of the dipole magnets, as well as the start and end point. The goal is, to place 2 types of quadrupoles in between the dipoles such that a given particle distribution will be guided through the beam line with maximal transmission and focused on a target. The constructed element Ei is either one of the standard quadrupoles or a drift line D, depending on the value of νi.
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