Sonnad, K.

Paper	Title	Page
DYN03	Studies of the Electron-Cloud-Induced Beam Dynamics at CesrTA	60
	G. Dugan, M. Billing, R. Meller, M. Palmer, G. Ramirez, J. Sikora, K. Sonnad, H. Williams Cornell University - CLASSE R. Holtzapple California Polytechnic State University
	This talk will review recent data and simulation results related to electron-cloud induced beam dynamics studies at Cesr-TA.
	Slides
PST05	Progress on Simulation of Beam Dynamics with Electron Cloud Effects: An update	100
	K. Sonnad Cornell University - CLASSE M. Pivi SLAC National Accelerator Laboratory J. Vay LBNL G. Rumolo, R. Tomas, F. Zimmermann CERN G. Franchetti GSI
	In this presentation, we will report the progress made in the past few years on simulations to study the electron cloud effects on the dynamics of beams in cicular accelerators. Results associated with various acclerators such as the Fermilab Main Injector, SPS, LHC, ILC damping rings will be shown. Comparisions between the results obtained from three codes, namely Warp, HeadTail and CMad will be discussed. More recent studies done on CesrTA will be discussed in greater detail.
PST06	Effects of Reflections on TE-Wave Measurements of Electron Cloud Density	103
	K. Sonnad, J. Sikora Cornell University - CLASSE K. Hammond Harvard University S. Veitzer Tech-X Corporation
	The simulation code VORPAL has been used as a tool to study charecteristics of TE wave transmission in the presence of electron clouds for CesrTA. We look at how the electron cloud induced phase shift is influenced by (1) reflections of the wave, caused by possible protrusions in the beam pipe and (2)effect of nonuniformities of the cloud density distribution in the transverse plane.
MOD04	Modeling Electron Cloud Buildup and Microwave Diagnostics using VORPAL	162
	S. Veitzer, P. Stoltz Tech-X Corporation K. Sonnad Cornell University - CLASSE P. Lebrun Fermilab
	We present an overview of recent electron cloud modeling results using the multi-dimensional, parallel, plasma simulation code VORPAL. We have used VORPAL to model cloud buildup in dipole, quadrupole, and field-free magnetic field configurations, in both circular and elliptical cross section pipes relevant to microwave diagnostics at the PEP-II experiment at SLAC, and ongoing experiments in the Main Injector at Fermilab. In addition, we present preliminary results for modeling electron orbits in the CesrTA wiggler, which is the beginning of a more detailed modeling effort to understand electron cloud effects in electron/positron accelerators, as well as connecting microwave side-band measurements to cloud densities. We also report on recent 3-Dimensional microwave transmission simulations through uniform and non-uniform clouds, and with higher order TE and TM waves using VORPAL.
	Slides
FTR02	Simulation of Electron Cloud Induced Instabilities and Emittance Growth for CesrTA	203
	M. Pivi SLAC National Accelerator Laboratory G. Dugan, M. Palmer, K. Sonnad Cornell University - CLASSE
	As part of the international Linear Collider (ILC) collaboration, we have compared the electron cloud (EC) effect for different Damping Ring (DR) designs respectively with 6.4 km and 3.2 km circumference and investigated the feasibility of the shorter damping ring with respect to the electron cloud build-up and related beam instabilities. The studies for a 3.2 km ring were carried out with beam parameters of the ILC Low Power option. A reduced damping ring circumference has been proposed for the new ILC baseline design and would allow considerable reduction of the number of components, wiggler magnets and costs. We also present the results for the luminosity upgrade option with shorter 3ns bunch spacing. In particular we will go through the evaluation of mitigation techniques for the ILC DR and discuss the integration of the CesrTA results into the Damping Ring design. Furthermore (with Kiran Sonnad, Cornell) we have performed detailed simulations using the CMAD code for CesrTA single-bunch instability and linear emittance growth below threshold and preliminary comparisons with experimental data are discussed here in view of the validation of the simulation codes prediction for the ILC DR.
	Slides