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Beam impedance minimization for accelerator beamline insertion devices

Abstract:
Use of complex state-of-the art detectors and monitors is essential to carry out high-energy and nuclear physics experiments at accelerator/collider facilities. The detectors are used to monitor charged particle beam parameters at large accelerator facilities such as coherent light sources and to develop new state-of-the art accelerators. Improvements in beam quality and lifetime necessitate the advancement of the instrumentation for successful operation of the accelerator facilities. Minimization of the beam-line-inserted devices’ influence on the beam is therefore one of the essential considerations during the design of such facilities and the preparation of experiments. In this paper, we suggest and discuss a roadmap to minimize this influence. It is developed using fundamental concepts and numerical modeling, and we show that this is a multi-stage and multi-parametric problem that needs careful consideration. To illustrate the roadmap, the vacuum vessel for the vertex locator detector (CERN) is used. The results are discussed and, using them, the steps and stages of the design optimization are suggested. The suggested procedure can be applied to optimize the design of any beamline insertion device and will contribute to the development of next generation particle/accelerator detectors and monitors.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1063/5.0007449

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Particle Physics
Role:
Author
ORCID:
0000-0001-6006-4485
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Particle Physics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Particle Physics
Role:
Author


Publisher:
AIP Publishing
Journal:
Review of Scientific Instruments More from this journal
Volume:
91
Issue:
7
Article number:
074711
Publication date:
2020-07-21
Acceptance date:
2020-06-01
DOI:
EISSN:
1089-7623
ISSN:
0034-6748


Language:
English
Keywords:
Pubs id:
1122460
Local pid:
pubs:1122460
Deposit date:
2020-07-29
ARK identifier:

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