15 research outputs found

    Quarterly Technical Report, Fission Time Projection Chamber Project, July2012

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    Neural Networks for Modeling and Control of Particle Accelerators

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    We describe some of the challenges of particle accelerator control, highlight recent advances in neural network techniques, discuss some promising avenues for incorporating neural networks into particle accelerator control systems, and describe a neural network-based control system that is being developed for resonance control of an RF electron gun at the Fermilab Accelerator Science and Technology (FAST) facility, including initial experimental results from a benchmark controller.Comment: 21 p

    Report on Advanced Detector Development

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    1999 LDRD Laboratory Directed Research and Development

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    GSI Scientific Report 2009 [GSI Report 2010-1]

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    Displacement design response spectrum is an essential component for the currently-developing displacement-based seismic design and assessment procedures. This paper proposes a new and simple method for constructing displacement design response spectra on soft soil sites. The method takes into account modifications of the seismic waves by the soil layers, giving due considerations to factors such as the level of bedrock shaking, material non-linearity, seismic impedance contrast at the interface between soil and bedrock, and plasticity of the soil layers. The model is particularly suited to applications in regions with a paucity of recorded strong ground motion data, from which empirical models cannot be reliably developed

    GSI Scientific Report 2009 [GSI Report 2010-1]

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    GSI Scientific Report 2011 [GSI Report 2012-1]

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