Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.
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Link to the new paper (on arXiv) in the documentation #125
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jank324 closed 4 months ago
Description
Links to the new differentiable Cheetah paper on arXiv, rather than the old IPAC paper, which is not up-to-date with Cheetah as it is now.
Motivation and Context
The new paper matches Cheetah today much more closer and should now be considered the main reference.
Types of changes
Checklist
flake8
(required).pytest
tests pass (required).pytest
on a machine with a CUDA GPU and made sure all tests pass (required).Note: We are using a maximum length of 88 characters per line