Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session GP11: Poster Session III: Basic Plasma Physics: General; Space and Astrophysical Plasmas; ICF Measurement and Computational Techniques, Direct and Indirect Drive; MIF Science and Technology (9:30am-12:30pm)
Tuesday, November 6, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.GP11.20
Abstract: GP11.00020 : Simulation of positrons in a magnetic dipole trap
Presenter:
S. Nissl
(Max Planck Institute for Plasma Physics, Technische Universitaet Muenchen)
Authors:
S. Nissl
(Max Planck Institute for Plasma Physics, Technische Universitaet Muenchen)
H. Saitoh
(Max Planck Institute for Plasma Physics, The University of Tokyo)
J. Horn-Stanja
(Max Planck Institute for Plasma Physics)
E. V. Stenson
(Technische Universitaet Muenchen, University of California, San Diego)
U. Hergenhahn
(Max Planck Institute for Plasma Physics, Leibniz Institute of Surface Engineering)
T. Sunn Pedersen
(Max Planck Institute for Plasma Physics, University of Greifswald)
M. R. Stoneking
(Lawrence University)
M. Singer
(Technische Universitaet Muenchen)
M. Dickmann
(Technische Universitaet Muenchen)
C. Hugenschmidt
(Technische Universitaet Muenchen)
L. Schweikhard
(University of Greifswald)
J. R. Danielson
(University of California, San Diego)
C. M. Surko
(University of California, San Diego)
APEX (A Positron Electron eXperiment) aims to create an electron-positron pair plasma in a magnetic dipole trap. To achieve this goal, a highly efficient positron injection scheme is an essential prerequisite. The large parameter space (multiple electrodes and steering coils to manipulate the beam) and the limited diagnostic capabilities of the experiment demanded a numerical counterpart to further understand the processes occurring during injection as well as confinement. Using discrete electric fields, analytic formulas to calculate the magnetic fields and a variant of the leapfrog integrator as particle pusher, full trajectory simulations were conducted and were able to reproduce the experimental data. A simulation speed-up of two orders of magnitude was achieved, in comparison to the previously used SIMION trajectory simulator. Furthermore, the numerical energy loss of particles is negligible for the leapfrog method in contrast to the widely used 4th-order Runge-Kutta algorithm. This made it possible to simulate long confinement of particles in the trap and estimate the major loss mechanisms. Possible future applications include also tests for adiabaticity and optimizations for the upcoming next stage of APEX with a levitating superconducting dipole coil.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.GP11.20
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