Model-independent Analysis with Bpm Correlation Matrices
نویسندگان
چکیده
We discuss techniques for Model-Independent Analysis (MIA) of a beamline using correlation matrices of physical variables and Singular Value Decomposition (SVD) of a beamline BPM matrix. The beamline matrix is formed from BPM readings for a large number of pulses. The method has been applied to the Linear Accelerator of the SLAC Linear Collider (SLC). submitted to Sixth European Particle Accelerator Conference (EPAC-98) Stockholm, Sweden, 22-26 June 1998 Supported by Department of Energy contract DE{AC03{76SF00515. MODEL-INDEPENDENT ANALYSIS WITH BPM CORRELATION MATRICES J. Irwin, C.X. Wang, Y.T. Yan, K. Bane, Y. Cai, F. Decker, M. Minty, G. Stupakov, F. Zimmermann Stanford Linear Accelerator Center P.O. Box 4349, Stanford, CA 94309, U.S.A. Abstract We discuss techniques for Model-Independent Analysis (MIA) of a beamline using correlation matrices of physical variables and Singular Value Decomposition (SVD) of a beamline BPM matrix. The beamline matrix is formed from BPM readings for a large number of pulses. The method has been applied to the Linear Accelerator of the SLAC Linear Collider (SLC).We discuss techniques for Model-Independent Analysis (MIA) of a beamline using correlation matrices of physical variables and Singular Value Decomposition (SVD) of a beamline BPM matrix. The beamline matrix is formed from BPM readings for a large number of pulses. The method has been applied to the Linear Accelerator of the SLAC Linear Collider (SLC).
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