Simulation of positrons in a magnetic dipole trap
POSTER
Abstract
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.
Presenters
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S. Nissl
Max Planck Institute for Plasma Physics, Technische Universitaet Muenchen
Authors
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S. Nissl
Max Planck Institute for Plasma Physics, Technische Universitaet Muenchen
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H. Saitoh
Max Planck Institute for Plasma Physics, The University of Tokyo
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J. Horn-Stanja
Max Planck Institute for Plasma Physics
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E. V. Stenson
Max Planck Institute of Plasma Physics, Technische Universitaet Muenchen, University of California, San Diego
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U. Hergenhahn
Max Planck Institute for Plasma Physics, Leibniz Institute of Surface Engineering
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Thomas Sunn Pedersen
Max Planck Institute for Plasma Physics, University of Greifswald, Max-Planck-Institut für Plasmaphysik, Max Planck Inst Plasmaphysik
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M. R. Stoneking
Lawrence University
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M. Singer
Technische Universitaet Muenchen
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M. Dickmann
Technische Universitaet Muenchen
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C. Hugenschmidt
Technische Universitaet Muenchen
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L. Schweikhard
University of Greifswald
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J. R. Danielson
University of California, San Diego
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C. M. Surko
University of California, San Diego