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The social cognitive optimization algorithm is one of the newest intelligent algorithms, and this algorithm can help the solvers to avoid tripping in local optimization when solving the nonlinear constraint problems effectively. The algorithm is based on the social cognitive theory and the key point of the ergodicity is the process of refreshing the knowledge points. Modified and optimized the conditions...
In this paper, a line source with Gaussian pulse and sinusoidal pulse excitation is used. Through an exact analysis and FFT technique, the imaging properties is investigated. The numerical results suggest that the electromagnetic waves would not focus if the source currents include a wide range of frequency components in which both the permittivity and permeability of the LHM slab deviate from -1...
Singular-value decomposition of the data matrix containing beam position histories yields a spatial-temporal mode analysis of beam motion by effectively accomplishing the statistical principal component analysis. Similar to the Fourier analysis, this mode analysis decomposes the spatial-temporal variation of the beam centroid into a superposition of orthogonal modes that are informative. We briefly...
We present model-independent analysis (MIA)-based methods for measuring lattice properties of a storage ring such as phase advance, beta function, chromaticity, and tune shift with amplitude. Using beam position histories of excited betatron oscillations that are simultaneously measured at a large number of beam position monitors (BPMs), the spatial-temporal modes of betatron oscillation can be extracted...
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