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RIS citation export for THPAB086: Long-Term Simulations of Beam-Beam Dynamics on GPUs

AU - Terzić, B.
AU - Arumugam, A.
AU - Cotnoir, C.M.
AU - Godunov, A.L.
AU - Lin, F.
AU - Majeti, R.T.
AU - Morozov, V.S.
AU - Nissen, E.W.
AU - Ranjan, D.
AU - Roblin, Y.
AU - Satogata, T.
AU - Stefani, M.
AU - Zhang, H.
AU - Zubair, M.
ED - Schaa, Volker RW
ED - Arduini, Gianluigi
ED - Pranke, Juliana
ED - Seidel, Mike
ED - Lindroos, Mats
TI - Long-Term Simulations of Beam-Beam Dynamics on GPUs
J2 - Proc. of IPAC2017, Copenhagen, Denmark, 14–19 May, 2017
C1 - Copenhagen, Denmark
T2 - International Particle Accelerator Conference
T3 - 8
LA - english
AB - Future machines such as the electron-ion colliders (JLEIC), linac-ring machines (eRHIC) or LHeC are particularly sensitive to beam-beam effects. This is the limiting factor for long-term stability and high luminosity reach. The complexity of the non-linear dynamics makes it challenging to perform such simulations which require millions of turns. Until recently, most of the methods used linear approximations and/or tracking for a limited number of turns. We have developed a framework which exploits a massively parallel Graphical Processing Units (GPU) architecture to allow for tracking millions of turns in a sympletic way up to an arbitrary order and colliding them at each turn. The code is called GHOST for GPU-accelerated High-Order Symplectic Tracking. As of now, there is no other code in existence that can accurately model the single-particle non-linear dynamics and the beam-beam effect at the same time for a large enough number of turns required to verify the long-term stability of a collider. Our approach relies on a matrix-based arbitrary-order symplectic particle tracking for beam transport and the Bassetti-Erskine approximation for the beam-beam interaction.
CP - Geneva, Switzerland
SP - 3918
EP - 3920
KW - simulation
KW - collider
KW - beam-beam-effects
KW - electron
DA - 2017/05
PY - 2017
SN - 978-3-95450-182-3
DO - 10.18429/JACoW-IPAC2017-THPAB086
UR - http://jacow.org/ipac2017/papers/thpab086.pdf
ER -