Abstract

As part of the CesrTA program at Cornell, diagnostic devices to measure and quantify the electron cloud effect have been installed throughout the CESR ring. One such device is the retarding field analyzer, which provides information on the local electron cloud density and energy distribution. In a magnetic field free environment, retarding field analyzer measurements can be directly compared with simulation to study the growth and dynamics of the cloud on a quantitative level. In particular, the photoemission and secondary emission characteristics of the instrumented chambers can be determined simultaneously.

Highlights

  • The electron cloud effect is a well-known phenomenon in particle accelerators, in which a high density of low energy electrons builds up inside the vacuum chamber

  • Retarding field analyzers have been installed in drift regions around Cornell Electron Storage Ring (CESR), and a great deal of electron cloud data has been collected with them

  • Detailed models of our retarding field analyzers (RFAs) have been developed, and integrated into the cloud simulation code POSINST, allowing for analysis on a more fundamental level. This has enabled the calculation of best fit simulation parameters, which describe the primary and secondary electron emission characteristics of each material in situ

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Summary

INTRODUCTION

The electron cloud effect is a well-known phenomenon in particle accelerators (see, for example, [1]), in which a high density of low energy electrons builds up inside the vacuum chamber. A significant component of this program, called CESR Test Accelerator (CESRTA), was the installation of several retarding field analyzers (RFAs) throughout the ring. These detectors, which provide information on the local electron cloud density, energy, and transverse distributions, have been used to directly compare different electron cloud mitigation techniques [11]. We have been able to study several different mitigation techniques, and evaluate their effectiveness in preventing electron cloud buildup

Retarding field analyzers
EXPERIMENTAL PROGRAM
CESR parameters
CLOUD BUILDUP SIMULATIONS
Simulation parameters
RFA MODELING
COMPARISON WITH MEASUREMENTS
Parameter constraints
Fitting the data
QUEFFP
Results
Findings
CONCLUSIONS
Full Text
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