STI Publications - View Publication Form #6760
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Publication Information
Title | Beam dynamics of low energy muon acceleration | ||||
Abstract | A conceptual design of a muon acceleration scheme based on recirculating superconducting linacs is proposed. In the presented scenario, acceleration starts after ionization cooling at 210 MeV/c and proceeds to 20 GeV, where the beam is injected into a neutrino factory storage ring. The key technical issues are addressed, such as the choice of acceleration technology (superconducting versus normal conducting) and the choice ofRF frequency, and finally, implementation of the overall acceleration scheme: capture, acceleration, transport and preservation oflarge phase space off ast decaying species. Beam transport issues for large-momentum-spread beams are accommodated by appropriate lattice design choices. The proposed arc optics is further optimized with a sextupole correction to suppress chromatic effects contributing to emittance dilution. The presented proof-of-principle design of the arc optics with horizontal separation ofmultipass beams is extended for all passes. | ||||
Author(s) | Alex Bogacz | ||||
Publication Date | May 2006 | ||||
Document Type | Meeting, Proceedings | ||||
Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
Affiliation | / / | ||||
Funding Source | |||||
Proprietary? | No | ||||
This publication conveys | Technical Science Results | ||||
Document Numbers |
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Associated with an experiment | No | ||||
Associated with EIC | No | ||||
Supported by Jefferson Lab LDRD Funding | No |
Meeting / Conference
Meeting Name | NuFact05 |
Meeting Date | 6/21/2005 |
Document Subtype | Invited Talk (slides) |
Proceedings
Title | Neutrino Factories And Superbeams (Nucl. Phys. B, Proc. Suppl. 155 (2006)) |
Editor(s) | G. De Lellis, P. Migliozzi, A. Paoloni, F. Terranova |
Publisher | Amsterdam, Elsevier |
Refereed | Yes |
Page Number | 334-335 |
Year | 2006 |
Attachments/Datasets/DOI Link
Document(s) |
JLAB-ACP-05-390.pdf
(STI Document)
|
Dataset(s) | (none) |
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