Neural Network Solver for Coherent Synchrotron Radiation Wakefield
Calculations in Accelerator-based Charged Particle Beams
- URL: http://arxiv.org/abs/2203.07542v1
- Date: Mon, 14 Mar 2022 22:52:59 GMT
- Title: Neural Network Solver for Coherent Synchrotron Radiation Wakefield
Calculations in Accelerator-based Charged Particle Beams
- Authors: Auralee Edelen and Christopher Mayes
- Abstract summary: We show a new approach for the CSR wakefield using a neural network solver structured in a way that is readily generalizable to new setups.
We validate its performance by adding it to a standard beam tracking test problem and show a ten-fold speedup along with high accuracy.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Particle accelerators support a wide array of scientific, industrial, and
medical applications. To meet the needs of these applications, accelerator
physicists rely heavily on detailed simulations of the complicated particle
beam dynamics through the accelerator. One of the most computationally
expensive and difficult-to-model effects is the impact of Coherent Synchrotron
Radiation (CSR). As a beam travels through a curved trajectory (e.g. due to a
bending magnet), it emits radiation that in turn interacts with the rest of the
beam. At each step through the trajectory, the electromagnetic field introduced
by CSR (called the CSR wakefield) needs to computed and used when calculating
the updates to the positions and momenta of every particle in the beam. CSR is
one of the major drivers of growth in the beam emittance, which is a key metric
of beam quality that is critical in many applications. The CSR wakefield is
very computationally intensive to compute with traditional electromagnetic
solvers, and this is a major limitation in accurately simulating accelerators.
Here, we demonstrate a new approach for the CSR wakefield computation using a
neural network solver structured in a way that is readily generalizable to new
setups. We validate its performance by adding it to a standard beam tracking
test problem and show a ten-fold speedup along with high accuracy.
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