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Solenoid-Based Focusing Lens for the Low-Beta Section of a Superconducting Proton Linac.

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Title: Solenoid-Based Focusing Lens for the Low-Beta Section of a Superconducting Proton Linac.
Authors: Burkhardt, E., Chlachidze, G., DiMarco, J., Leach, T., McGhee, W., Orlov, Y., Orris, D., Tartaglia, M., Terechkine, I.
Source: IEEE Transactions on Applied Superconductivity. Jun2015 Part 2, Vol. 25 Issue 3, p1-4. 4p.
Subjects: Solenoids, Proton linear accelerator, Accelerator magnets, Lenses, Magnetic fields, Superconducting magnets
Abstract: A superconducting solenoid-based focusing lens was designed and built for use in the SSR1 cryomodule of PXIE test facility at FNAL. As the cryomodule contains superconducting spoke-type cavities, one of main goals during design stage was minimization of magnetic field on walls of the cavities. The design also attempted minimization of the uncertainty of the magnetic axis position in the lens. This report describes main features of the design and summarizes results of performance tests and magnetic axis position measurements. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Transactions on Applied Superconductivity is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 100151230
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Solenoid-Based Focusing Lens for the Low-Beta Section of a Superconducting Proton Linac.
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  Data: <searchLink fieldCode="AR" term="%22Burkhardt%2C+E%2E%22">Burkhardt, E.</searchLink><br /><searchLink fieldCode="AR" term="%22Chlachidze%2C+G%2E%22">Chlachidze, G.</searchLink><br /><searchLink fieldCode="AR" term="%22DiMarco%2C+J%2E%22">DiMarco, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Leach%2C+T%2E%22">Leach, T.</searchLink><br /><searchLink fieldCode="AR" term="%22McGhee%2C+W%2E%22">McGhee, W.</searchLink><br /><searchLink fieldCode="AR" term="%22Orlov%2C+Y%2E%22">Orlov, Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Orris%2C+D%2E%22">Orris, D.</searchLink><br /><searchLink fieldCode="AR" term="%22Tartaglia%2C+M%2E%22">Tartaglia, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Terechkine%2C+I%2E%22">Terechkine, I.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Applied+Superconductivity%22">IEEE Transactions on Applied Superconductivity</searchLink>. Jun2015 Part 2, Vol. 25 Issue 3, p1-4. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Solenoids%22">Solenoids</searchLink><br /><searchLink fieldCode="DE" term="%22Proton+linear+accelerator%22">Proton linear accelerator</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerator+magnets%22">Accelerator magnets</searchLink><br /><searchLink fieldCode="DE" term="%22Lenses%22">Lenses</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+fields%22">Magnetic fields</searchLink><br /><searchLink fieldCode="DE" term="%22Superconducting+magnets%22">Superconducting magnets</searchLink>
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  Data: A superconducting solenoid-based focusing lens was designed and built for use in the SSR1 cryomodule of PXIE test facility at FNAL. As the cryomodule contains superconducting spoke-type cavities, one of main goals during design stage was minimization of magnetic field on walls of the cavities. The design also attempted minimization of the uncertainty of the magnetic axis position in the lens. This report describes main features of the design and summarizes results of performance tests and magnetic axis position measurements. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Transactions on Applied Superconductivity is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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