2019
DOI: 10.1142/s0217751x19420223
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Challenges in extracting pseudo-multipoles from magnetic measurements

Abstract: Extracting the coefficients of Fourier-Bessel series, known as pseudo-multipoles or generalized gradients, from magnetic measurements of accelerator magnets involves technical and mathematical challenges. First, a novel design of a short, rotating-coil magnetometer is required that does not intercept any axial field component of the magnet. Moreover, displacing short magnetometers, step-by-step along the magnet axis, yields a convolution of the local multipole field errors and the sensitivity (test function) o… Show more

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Cited by 4 publications
(2 citation statements)
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“…Common solutions to this problem are the filtering of the concerned frequency components or their damping with respect to a known signal to-noise ratio. The latter approach is referred to as Wiener filtering and it has been applied to the deconvolution of rotating coil measurements in [7]. However, all signal filtering or post-processing is either neglecting some frequency components or using prior knowledge for their determination.…”
Section: Signal Deconvolutionmentioning
confidence: 99%
“…Common solutions to this problem are the filtering of the concerned frequency components or their damping with respect to a known signal to-noise ratio. The latter approach is referred to as Wiener filtering and it has been applied to the deconvolution of rotating coil measurements in [7]. However, all signal filtering or post-processing is either neglecting some frequency components or using prior knowledge for their determination.…”
Section: Signal Deconvolutionmentioning
confidence: 99%
“…To know when the magnetic contact closes so that it is activated, it is necessary to connect a signaling device to it. In the absence of a signaling device, it is possible to use a complete installation of an electrical security system with a control panel, with which we can know when the contact was activated [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%