Paper | Title | Other Keywords | Page |
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MOP10 | Removing Noise in BPM Measurements with Variational Autoencoders | operation, network, coupling, controls | 43 |
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Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of High Energy Physics under Award Number DE-SC0021699. Noise in beam measurements is an ever-present challenge in accelerator operations. In addition to the challenges presented by hardware and signal processing, new operational regimes, such as ultra-short bunches, create additional difficulties in routine beam measurements. Techniques in machine learning have been successfully applied in other domains to overcome challenges inherent in noisy data. Variational autoencoders (VAEs) are shown to be capable of removing significant leevels of noise. A VAE can be used as a pre-processing tool for noise removal before the de-noised data is analyzed via other methods, or the VAE can be directly used to make beam dynamics measurements. Here we present the use of VAEs as a tool for addressing noise in BPM measurements. |
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DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-MOP10 | ||
About • | Received ※ 29 August 2022 — Revised ※ 10 September 2022 — Accepted ※ 11 September 2022 — Issue date ※ 24 November 2022 | ||
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TUP16 | FOCUS: Fast Monte-CarlO Approach to Coherence of Undulator Sources | undulator, electron, radiation, simulation | 257 |
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"Fast Monte-CarlO approach to Coherence of Undulator Sources" (FOCUS) is a new GPU-based code to compute the transverse coherence of X-ray radiation from undulator sources. The code relies on scaled dimensionless quantities and analytic expressions of the electric field emitted by electrons in an undulator, obtained in the frequency domain under paraxial approximation (justified by the assumption of ultra-relativistic electrons) and free space propagation, with the addition of the resonance approximation. We describe the core structure of the code, which exploits GPUs for massively parallel computations. We validate our approach by direct comparison with SRW (Synchrotron Radiation Workshop) simulations. The benchmarks prove that FOCUS yields similar results with respect to SRW, while at the same time reducing the computation times by five orders of magnitude. Finally, we show examples of applications to beam size diagnostics. The aim of the code is to fast evaluating the transverse coherence properties of undulator X-ray radiation as a function of the electron beam parameters, and to support and help preparing more rigorous numerical simulations with traditional codes like SRW. | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-TUP16 | ||
About • | Received ※ 07 September 2022 — Revised ※ 10 September 2022 — Accepted ※ 12 September 2022 — Issue date ※ 19 September 2022 | ||
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TUP41 | Multi-Dimensional Feedforward Controller at MAX IV | controls, TANGO, feedback, undulator | 335 |
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Feedforward control loops are used in numerous applications to correct process variables. While feedforward control loops correct process variables according to expected behaviour of a system at any given set point, feedback loops require measurements of the output to correct deviations from the set point. At MAX IV, a generic multi-dimensional input and output feedforward controller was implemented using TANGO Control System. This paper describes the development and use cases of this controller for beam orbit and optics corrections at MAX IV. | |||
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Poster TUP41 [1.597 MB] | ||
DOI • | reference for this paper ※ doi:10.18429/JACoW-IBIC2022-TUP41 | ||
About • | Received ※ 06 September 2022 — Revised ※ 10 September 2022 — Accepted ※ 11 September 2022 — Issue date ※ 15 September 2022 | ||
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