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Title: Magnets for Muon 6D Cooling Channels

Abstract

The Helical Cooling Channel (HCC), an innovative technique for six-dimensional (6D) cooling of muon beams using a continuous absorber inside superconducting magnets, has shown considerable promise based on analytic and simulation studies. The implementation of this revolutionary method of muon cooling requires high field superconducting magnets that provide superimposed solenoid, helical dipole, and helical quadrupole fields. Novel magnet design concepts are required to provide HCC magnet systems with the desired fields for 6D muon beam cooling. New designs feature simple coil configurations that produce these complex fields with the required characteristics, where new high field conductor materials are particularly advantageous. The object of the program was to develop designs and construction methods for HCC magnets and design a magnet system for a 6D muon beam cooling channel. If successful the program would develop the magnet technologies needed to create bright muon beams for many applications ranging from scientific accelerators and storage rings to beams to study material properties and new sources of energy. Examples of these applications include energy frontier muon colliders, Higgs and neutrino factories, stopping muon beams for studies of rare fundamental interactions and muon catalyzed fusion, and muon sources for cargo screening for homeland security.

Authors:
 [1];  [1]
  1. Muons, Inc.
Publication Date:
Research Org.:
Muons, Inc., 552 N. Batavia Ave., Batavia, IL 60510
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Org.:
Fermi National Accelerator Laboratory, P. O. Box 500, Batavia, IL, 60510
OSTI Identifier:
1155008
Report Number(s):
DOE-Muons-84825
DOE Contract Number:  
FG02-07ER84825
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
43 PARTICLE ACCELERATORS; high-field, superconducting, magnet, helical solenoid, muon-beam, ionization-cooling, YBCO, prototype-construction, muon-collider, neutrino-factory

Citation Formats

Johnson, Rolland, and Flanagan, Gene. Magnets for Muon 6D Cooling Channels. United States: N. p., 2014. Web. doi:10.2172/1155008.
Johnson, Rolland, & Flanagan, Gene. Magnets for Muon 6D Cooling Channels. United States. doi:10.2172/1155008.
Johnson, Rolland, and Flanagan, Gene. Wed . "Magnets for Muon 6D Cooling Channels". United States. doi:10.2172/1155008. https://www.osti.gov/servlets/purl/1155008.
@article{osti_1155008,
title = {Magnets for Muon 6D Cooling Channels},
author = {Johnson, Rolland and Flanagan, Gene},
abstractNote = {The Helical Cooling Channel (HCC), an innovative technique for six-dimensional (6D) cooling of muon beams using a continuous absorber inside superconducting magnets, has shown considerable promise based on analytic and simulation studies. The implementation of this revolutionary method of muon cooling requires high field superconducting magnets that provide superimposed solenoid, helical dipole, and helical quadrupole fields. Novel magnet design concepts are required to provide HCC magnet systems with the desired fields for 6D muon beam cooling. New designs feature simple coil configurations that produce these complex fields with the required characteristics, where new high field conductor materials are particularly advantageous. The object of the program was to develop designs and construction methods for HCC magnets and design a magnet system for a 6D muon beam cooling channel. If successful the program would develop the magnet technologies needed to create bright muon beams for many applications ranging from scientific accelerators and storage rings to beams to study material properties and new sources of energy. Examples of these applications include energy frontier muon colliders, Higgs and neutrino factories, stopping muon beams for studies of rare fundamental interactions and muon catalyzed fusion, and muon sources for cargo screening for homeland security.},
doi = {10.2172/1155008},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {9}
}