# Acknowledgments
FIGARO is licensed under the [MIT License](https://github.com/sterinaldi/FIGARO/blob/main/LICENSE).

If you use FIGARO in your research, please cite [Rinaldi & Del Pozzo (2024)](https://joss.theoj.org/papers/10.21105/joss.06589):
```text
@ARTICLE{Rinaldi2024,
       author = {{Rinaldi}, Stefano and {Del Pozzo}, Walter},
        title = "{FIGARO: hierarchical non-parametric inference for population studies}",
      journal = {Journal of Open Source Software},
    publisher = {The Open Journal},
         year = 2024,
        month = may,
       volume = {9},
       number = {97},
        pages = {6589},
          doi = {10.21105/joss.06589},
          url = {https://doi.org/10.21105/joss.06589}
}
```

If you make use of the hierarchical analysis, you should mention (H)DPGMM as the model used and cite the paper where it is introduced, [Rinaldi & Del Pozzo (2022)](https://ui.adsabs.harvard.edu/abs/2022MNRAS.509.5454R/abstract):

```text
@ARTICLE{2022MNRAS.509.5454R,
       author = {{Rinaldi}, Stefano and {Del Pozzo}, Walter},
        title = "{(H)DPGMM: a hierarchy of Dirichlet process Gaussian mixture models for the inference of the black hole mass function}",
      journal = {\mnras},
     keywords = {gravitational waves, methods: data analysis, methods: statistical, stars: black holes, Astrophysics - Instrumentation and Methods for Astrophysics, General Relativity and Quantum Cosmology},
         year = 2022,
        month = feb,
       volume = {509},
       number = {4},
        pages = {5454-5466},
          doi = {10.1093/mnras/stab3224},
archivePrefix = {arXiv},
       eprint = {2109.05960},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022MNRAS.509.5454R},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```