ICAP2012 - List of Keywords (betatron)

Paper	Title	Other Keywords	Page
MOACC2	Simulation of Electron Cloud Instability	electron, simulation, solenoid, positron	26
	K. Ohmi KEK, Ibaraki, Japan
	We discuss coupled bunch and single bunch instabilities caused by electron cloud in positron and proton circular accelerator. We focus unstable mode spectrum which characterizes the instabilities.
	Slides MOACC2 [3.432 MB]

FRABI1	Independent Component Analysis (ICA) Applied to Long Bunch Beams in the Los Alamos Proton Storage Ring	injection, linac, space-charge, extraction	294
	J.S. Kolski, R.J. Macek, R.C. McCrady, X. Pang LANL, Los Alamos, New Mexico, USA
	Independent component analysis (ICA) is a powerful blind source separation (BSS) method. Compared to the typical BSS method, principal component analysis (PCA), which is the BSS foundation of the well known model independent analysis (MIA), ICA is more robust to noise, coupling, and nonlinearity. ICA of turn-by-turn beam position data has been used to measure the transverse betatron phase and amplitude functions, dispersion function, linear coupling, sextupole strength, and nonlinear beam dynamics. We apply ICA in a new way to slices along the bunch, discuss the source signals identified as betatron motion and longitudinal beam structure, and for betatron motion, compare the results of ICA and PCA.
	Slides FRABI1 [8.062 MB]

Paper

Title

Other Keywords

Page

MOACC2

Simulation of Electron Cloud Instability

electron, simulation, solenoid, positron

26

K. Ohmi
KEK, Ibaraki, Japan

We discuss coupled bunch and single bunch instabilities caused by electron cloud in positron and proton circular accelerator. We focus unstable mode spectrum which characterizes the instabilities.

Slides MOACC2 [3.432 MB]

FRABI1

Independent Component Analysis (ICA) Applied to Long Bunch Beams in the Los Alamos Proton Storage Ring

injection, linac, space-charge, extraction

294

J.S. Kolski, R.J. Macek, R.C. McCrady, X. Pang
LANL, Los Alamos, New Mexico, USA

Independent component analysis (ICA) is a powerful blind source separation (BSS) method. Compared to the typical BSS method, principal component analysis (PCA), which is the BSS foundation of the well known model independent analysis (MIA), ICA is more robust to noise, coupling, and nonlinearity. ICA of turn-by-turn beam position data has been used to measure the transverse betatron phase and amplitude functions, dispersion function, linear coupling, sextupole strength, and nonlinear beam dynamics. We apply ICA in a new way to slices along the bunch, discuss the source signals identified as betatron motion and longitudinal beam structure, and for betatron motion, compare the results of ICA and PCA.

Slides FRABI1 [8.062 MB]