Metadata-Version: 2.4
Name: GokuNEmu
Version: 0.1.7
Summary: 10D emulator for the nonlinear matter power spectrum built on Goku simulations
Author-email: Yanhui Yang <yyang440@ucr.edu>
License-Expression: MIT
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: scikit-learn
Requires-Dist: numpy
Requires-Dist: scipy
Dynamic: license-file

# 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 (https://github.com/astro-YYH/T2N-MusE).

For details on the simulations, refer to our paper:  
https://arxiv.org/abs/2501.06296

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## Installation via pip

```
pip install gokunemu
```

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## Usage

A brief example is provided in `speed_benchmark.ipynb`, demonstrating how to use GokuEmu for matter power spectrum predictions.

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## Citation
If you use GokuNEmu, please cite related papers:  
https://arxiv.org/abs/2501.06296

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## **License**
This project is licensed under the MIT License.
