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JARED GINSBERG WITH BRIAN BEAUDOIN Modeling and Characterization of Soliton Trains in an Electron Beam.

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Presentation on theme: "JARED GINSBERG WITH BRIAN BEAUDOIN Modeling and Characterization of Soliton Trains in an Electron Beam."— Presentation transcript:

1 JARED GINSBERG WITH BRIAN BEAUDOIN Modeling and Characterization of Soliton Trains in an Electron Beam

2 “…The mass of water in the channel… accumulated round the prow of the vessel… then suddenly leaving it behind, rolled forward with great velocity, assuming the form of a large solitary elevation… Such, in the month of August 1834, was my first chance interview with that singular and beautiful phenomenon..” - John Scott Russell The earliest observed solitons were found as water waves Video credit goes to youtube user Christophe FINOT

3 Nonlinear and Dispersive Effects The initial wave steepens due to nonlinearity. The wave also widens and separates due to dispersion. When balanced these two effects can exactly cancel, yielding a soliton. Image courtesy of Yichao Mo

4 Experimental Setup for Launching Velocity Perturbations Perturbations from Induction Cell 30 cm initial perturbation width Beam Velocity = 5.85 x 10 7 m/s (.2c) Machine Circumference = 11.52 m Circulation Time = 197 ns UMER Perturbation at beam tail Beam head

5 The Math and The Model What’s so great about a model? Confirm your choice of equation (KdV!) Direct control over more parameters Faster and more portable Red: computer modeled Blue: experimental data Determining ε is a major challenge Korteweg de-Vries (KdV) nonlinearity dispersion μ dictates the dispersion strength

6 Agreement Between Model and Experiment ε = 5.85 x 10 7 = beam velocity μ = +42 t = 9 x 197 ns Position (meters) Current (amps) Data with minimal current loss Data with considerable current loss Positive Dispersion

7 Agreement Between Model and Experiment ε = 5.85 x 10 7 = beam velocity μ = - 42 t = 9 x 197 ns Position (meters) Current (amps) Negative Dispersion Data with minimal current loss A negative dispersion in the model can then be used to model negative perturbations to the beam that are done in the experiment.

8 Sub-Pulse Spacing (Future Work) Sub-pulse Spacing vs. Dispersive Coefficient Dispersive Coefficient Peak-to-peak Space in meters Sub-pulse Spacing vs. Dispersive Coefficient Dispersive Coefficient Peak-to-peak Space in meters

9 Acknowledgements Brian Beaudoin Kathryn Tracey, Michelle Girvan, Thomas Murphy, Sonali Shukla and the rest of TREND National Science Foundation


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