A Julia package for auto-differentiable accelerator modeling and particle tracking. Enables advanced automatic differentiation for symplectic 6-D particle tracking.
A Julia package for auto-differentiable accelerator tracking based on JuTrack.jl, integrated with machine learning models.
A Julia package that provides a library for performing Truncated Power Series Algebra (TPSA). Supports both float and complex number derivatives.
A Python/C++ package that provides a library for performing Truncated Power Series Algebra (TPSA). Supports both float and complex number derivatives.
Symplectic network modules for PyTorch. Implementation of symplectic neural network layers for identifying Hamiltonian systems.
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