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Citing AstroSpectro

If you use AstroSpectro in your research, please cite it. Citations are how research software gets recognised and maintained.

Software​

Use this entry for any work that runs the pipeline or builds on its code.

@software{baker2026astrospectro_software,
  author  = {Baker, Alex},
  title   = {AstroSpectro: Interpretable ML Pipeline for Stellar Spectral Classification},
  year    = {2026},
  url     = {https://github.com/PhD-Brown/AstroSpectro},
  version = {1.0.0}
}

Plain-text form​

For a report, a poster or a web page:

Baker, A. (2026). AstroSpectro: Interpretable ML Pipeline for Stellar Spectral Classification [Software]. https://github.com/PhD-Brown/AstroSpectro
A DOI is planned

An official archive of the project on Zenodo is planned for a future release. It will provide a DOI, a permanent and more stable reference for software. Until then, cite the repository address and, if you can, the commit or release you used.

Manuscript in preparation​

@article{baker2026shap,
  author  = {Baker, Alex},
  title   = {Interpretable Machine Learning for Stellar Spectral Classification
             with {LAMOST} {DR5} and {Gaia} {DR3}},
  journal = {Research Notes of the AAS},
  year    = {2026},
  note    = {Manuscript in preparation; target venue under consideration},
  url     = {https://github.com/PhD-Brown/AstroSpectro}
}

When the manuscript is accepted, its reference will replace this entry.

Cite the results with their context​

When you quote a figure from this site, give the run and the dataset it comes from, not only the number: the model, whether it is spectro_only, and the number of spectra. The reference model includes a few Gaia-derived features, and the dimensionality-reduction results come from a different, smaller dataset; see the Data Leakage Audit and the Model Card.

Cite the data​

The data have their own acknowledgement requirements for LAMOST and Gaia; the standard texts are on the Acknowledgements page.

See also​