Citation

If you use Goku-ELG in your research, please cite our paper:

BibTeX Entry

@article{qezlou2025goku,
  title={Goku-ELG: A Cosmological Emulator for Emission-Line Galaxies},
  author={Qezlou, Mahdi and Yang, Yanhui and Bird, Simeon and Ho, Ming-Feng},
  journal={In preparation},
  year={2025}
}

Related Papers

The GOKU Simulation Suite

Our emulator is built on the GOKU simulation suite. If you use the simulations or discuss them, please also cite:

@article{yang2025goku,
  title={GOKU: A Fast and Accurate Cosmological Simulation Suite},
  author={Yang, Yanhui and others},
  journal={Physical Review D},
  volume={111},
  pages={083529},
  year={2025},
  doi={10.1103/PhysRevD.111.083529}
}

Multi-Fidelity Gaussian Processes

The multi-fidelity GP methodology we use is based on:

Kennedy & O’Hagan (2000)

@article{kennedy2000predicting,
  title={Predicting the output from a complex computer code when fast approximations are available},
  author={Kennedy, Marc C and O'Hagan, Anthony},
  journal={Biometrika},
  volume={87},
  number={1},
  pages={1--13},
  year={2000},
  publisher={Oxford University Press}
}

Ho et al. (2021)

@article{ho2021multifidelity,
  title={Multi-fidelity Gaussian Process Modeling for Chemical Property Prediction},
  author={Ho, Ming-Feng and others},
  journal={arXiv preprint arXiv:2105.01081},
  year={2021}
}

Stochastic Variational Gaussian Processes

For the stochastic variational framework:

@inproceedings{hensman2015scalable,
  title={Scalable Variational Gaussian Process Classification},
  author={Hensman, James and Matthews, Alexander G and Ghahramani, Zoubin},
  booktitle={International Conference on Artificial Intelligence and Statistics},
  pages={351--360},
  year={2015}
}

Acknowledgments

This work was supported by:

• [Funding sources to be added]

• Computational resources from [institutions to be added]

The development of Goku-ELG would not have been possible without:

• The GPflow team for their excellent Gaussian Process library

• The scikit-learn developers

• The broader Python scientific computing community

Software Acknowledgments

Goku-ELG builds upon several open-source packages:

• GPflow: Gaussian Process library

• NumPy: Numerical computing

• SciPy: Scientific computing

• scikit-learn: Machine learning tools

• matplotlib: Visualization

• h5py: HDF5 file handling

• ClassyLSS: Linear power spectrum calculations

Contact

For questions, bug reports, or feature requests:

• Email: mahdi.qezlou@email.ucr.edu

• GitHub: https://github.com/qezlou/private-gal-emu

• Issues: https://github.com/qezlou/private-gal-emu/issues

Community

We welcome contributions from the community! Please see our GitHub repository for:

• Contributing guidelines

• Issue tracker

• Discussion forums

• Code of conduct

Stay Updated

• Check our GitHub repository for updates

• Watch the repository to get notifications of new releases

• Follow announcements on [social media/mailing list to be added]

License Information

See License for details on usage and redistribution rights.