19–24 May 2024
Music City Center
US/Central timezone

Discovering transient models of emittance growth via mode interaction of phase space nonuniformities

MOPS82
20 May 2024, 16:00
2h
Blues (MCC Exhibit Hall A)

Blues

MCC Exhibit Hall A

Poster Presentation MC5.D13 Machine Learning Monday Poster Session

Speaker

Liam Pocher (University of Maryland)

Description

One of the Grand Challenges in beam physics is development of virtual particle accelerators for beam prediction. Virtual accelerators rely on efficient and effective methodologies grounded in theory, simulation, and experiment. We will address one sample methodology, extending the understanding and the control of deleterious effects, for example, emittance growth. We employ the application of the Sparse Identification of Nonlinear Dynamical systems algorithm–previously presented at NAPAC’22 and IPAC’23–to identify emittance growth dynamics caused by nonuniform, empirical distributions in phase space in a linear, hard-edge, periodic FODO lattice. To gain further understanding of the evolution of emittance growth as the beam’s distribution approaches steady state, we compare our results to theoretical predictions describing the final state emittance growth due to collective and N-body mode interaction of space charge nonuniformities as a function of free-energy and space-charge intensity. Finally, we extend our methodology to a broader range of virtual and real experiments to identify the growth(decay) of (un)desired beam parameters.

Funding Agency

Work supported by US DOE-HEP grants: DE-SC0010301 and DE-SC0022009

Region represented North America
Paper preparation format LaTeX

Primary author

Liam Pocher (University of Maryland)

Co-authors

Irving Haber (University of Maryland) Levon Dovlatyan (University of Maryland) Patrick O'Shea (University Maryland) Tom Antonsen (University of Maryland)

Presentation materials

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