Methods for Quantitative Interpretation of Retarding Field Analyzer Data

Conference · Mon Mar 28 00:00:00 EDT 2011

OSTI ID:1022717

Calvey, J R; Crittenden, J A; Dugan, G F; Palmer, M A; Furman, M; Harkay, K

Over the course of the CesrTA program at Cornell, over 30 Retarding Field Analyzers (RFAs) have been installed in the CESR storage ring, and a great deal of data has been taken with them. These devices measure the local electron cloud density and energy distribution, and can be used to evaluate the efficacy of different cloud mitigation techniques. Obtaining a quantitative understanding of RFA data requires use of cloud simulation programs, as well as a detailed model of the detector itself. In a drift region, the RFA can be modeled by postprocessing the output of a simulation code, and one can obtain best fit values for important simulation parameters with a chi-square minimization method.

• Research Organization: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: Accelerator& Fusion Research Division
• DOE Contract Number: DE-AC02-05CH11231
• OSTI ID: 1022717
• Report Number(s): LBNL-4627E; TRN: US1104468
• Resource Relation: Conference: 2011 Particle Accelrator Conference Pac'11, New York, NY, March 28- April 1, 2011; Related Information: Journal Publication Date: 04/02/2011
• Country of Publication: United States
• Language: English

Related Subjects

43
ACCELERATORS
CESR STORAGE RING
CLOUDS
ELECTRONS
ENERGY SPECTRA
MINIMIZATION
MITIGATION
SIMULATION
RFA data
CesrTA
chi-square minimization method
POSINST