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Retraining and neural network emulator

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@j-dr j-dr released this 20 Aug 20:53
· 2 commits to main since this release

This release includes improvements in the training of the emulator by using a discrete sine transform IR-resummation for the KECLEFT predictions that the emulator is made with respect to. This change leads to an approximate 30% improvement in accuracy, with no known issues.

We also include a new neural network version of the emulator that obviates the need to include KECLEFT predictions as input to the model, and this makes the predictions much faster.