IBIC2015 - List of Authors (Li, Z.)

Paper	Title	Page
MOPB070	FRIB Machine Protection System Design and Validation Studies	221
	S.M. Lidia, M. Ikegami, Z. Li, Z. Liu, T. Russo, R.C. Webber, Y. Zhang, Q. Zhao FRIB, East Lansing, Michigan, USA
	Funding: This material is based upon work supported by the U.S. Department of Energy Office of Science under Cooperative Agreement DE-SC0000661, the State of Michigan and Michigan State University. The FRIB heavy ion superconducting linac will present the highest peak power hadron beam facility, with beams carrying >400 kW power with kinetic energy >200 MeV/u. Fast protection systems are required to detect and remove beam within 35 us. Detection of beam losses in the low energy linac segment is confounded by two effects: small fluxes of secondary radiation from beam impacts, and large fluxes due to cross-talk from neighbouring, higher energy linac sections. We describe a machine protection scheme based on multiple families of diagnostics and diagnostic networks. On-going fault mode studies are utilised to assess risk and to assist in the definition of specific detection networks for high reliability and responsivity.
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Paper

Title

Page

FRIB Machine Protection System Design and Validation Studies

221

S.M. Lidia, M. Ikegami, Z. Li, Z. Liu, T. Russo, R.C. Webber, Y. Zhang, Q. Zhao
FRIB, East Lansing, Michigan, USA

Funding: This material is based upon work supported by the U.S. Department of Energy Office of Science under Cooperative Agreement DE-SC0000661, the State of Michigan and Michigan State University.
The FRIB heavy ion superconducting linac will present the highest peak power hadron beam facility, with beams carrying >400 kW power with kinetic energy >200 MeV/u. Fast protection systems are required to detect and remove beam within 35 us. Detection of beam losses in the low energy linac segment is confounded by two effects: small fluxes of secondary radiation from beam impacts, and large fluxes due to cross-talk from neighbouring, higher energy linac sections. We describe a machine protection scheme based on multiple families of diagnostics and diagnostic networks. On-going fault mode studies are utilised to assess risk and to assist in the definition of specific detection networks for high reliability and responsivity.

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reference for this paper to ※ BibTeX, ※ LaTeX, ※ Text, ※ RIS/RefMan, ※ EndNote (xml)