GokuNEmu 0.1.9

10D emulator for the nonlinear matter power spectrum built on Goku simulations

GokuNEmu: A Neural Network Emulator Based on the Goku Simulation Suite

GokuNEmu is a neural network (NN) emulator for the nonlinear matter power spectrum, trained on simulations from the Goku suite using the T2N-MusE emulation technique.

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Installation

We recommend installing GokuNEmu via pip:

pip install gokunemu

Note for Intel Mac users:
You may need to install (if not yet) pytorch via conda before installing GokuNEmu due to potential compatibility issues with pip wheels:

conda install -c conda-forge pytorch

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Usage

Example notebooks are provided in the examples/ directory:

• example.ipynb: Demonstrates how to use GokuNEmu for predicting the nonlinear matter power spectrum.
• speed_benchmark.ipynb: Benchmarks the runtime performance.

Training data

The data used as the training set for the emulator are available at https://github.com/astro-YYH/T2N-MusE.

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Citation

If you use GokuNEmu, please cite:

• The main GokuNEmu paper: https://arxiv.org/abs/2507.07177
• The Goku simulations: https://arxiv.org/abs/2501.06296
• The T2N-MusE emulation method: https://arxiv.org/abs/2507.07184

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License

This project is licensed under the MIT License.