Automatic differentiation computes beamline optimization gradients faster than finite differences on CPU and usually on GPU.
It is a 6D tracking prob- lem of 5000 particles over a FODO cell with space-charge effects[26]
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Differentiable simulations for particle tracking in accelerators: analysis, benchmarking and optimization
Automatic differentiation computes beamline optimization gradients faster than finite differences on CPU and usually on GPU.