Publications

CompactObject has been implemented in several studies and ongoing research projects. If your work is based on or has contributed to our package and you would like to be mentioned on this page, please send us an email at chun.h@wustl.edu. This allows us to promote your work within our documentation, thereby extending the impact of the CompactObject package. Please ensure you specifically cite us if you are using this package, even if you utilize only one functionality, so that we can acknowledge your contribution. We greatly appreciate feedback and contributions to enhance our functionalities.

The initial papers based on or contributing to this package are listed below:

1. Definition of RMF Models

[1]

Huang, C., Raaijmakers, G., Watts, A. L., Tolos, L., & Providência, C. (2024). Constraining fundamental nuclear physics parameters using neutron star mass-radius measurements I: Nucleonic models. Monthly Notices of the Royal Astronomical Society, 529. DOI:10.1093/mnras/stae844

[2]

Huang, C., Tolos, L., Providência, C., & Watts, A. (2024). Constraining a relativistic mean field model using neutron star mass-radius measurements II: Hyperonic models. arXiv preprint arXiv:2410.14572. https://arxiv.org/abs/2410.14572

2. Application of Likelihood Functions and analysis glitch data

[3]

Huang, C., & Zheng, X.-P. (2024). Bayesian Insights into post-Glitch Dynamics: Model comparison and parameter constraint from decades-long observation data of the Crab pulsar. arXiv preprint arXiv:2409.18432. https://arxiv.org/abs/2409.18432

3. Strangeon Star EOS Inference

[4]

Yuan, W.-L., Huang, C., Zhang, C., Zhou, E.-P., & Xu, R.-X. (2024). Bayesian inference of strangeon matter equation of state using the new NICER mass-radius measurements J0437-4751 and GW190814 data. In preparation.

4. pQCD Computation Implementation

[5]

Gorda, T., Komoltsev, O., & Kurkela, A. Ab-initio QCD Calculations Impact the Inference of the Neutron-star-matter Equation of State. e-Print: [2204.11877 [nucl-th]](https://arxiv.org/abs/2204.11877) DOI: [10.3847/1538-4357/acce3a](https://doi.org/10.3847/1538-4357/acce3a) Published in: Astrophysical Journal, 950 (2023) 2, 107

5. Chiral Effective Field Theory Constraint Implementation

[6]

Marquez, K.D., Malik, T., Pais, H., Menezes, D.P., & Providência, C. Nambu–Jona-Lasinio Description of Hadronic Matter from a Bayesian Approach. e-Print: [2407.18452 [nucl-th]](https://arxiv.org/abs/2407.18452) DOI: [10.1103/PhysRevD.110.063040](https://doi.org/10.1103/PhysRevD.110.063040) Published in: Physical Review D, 110 (2024) 6, 063040

6. Density-dependent RMF Implementation

[7]

Malik, T., Ferreira, M., Agrawal, B.K., & Providência, C. (2022). Relativistic Description of Dense Matter Equation of State and Compatibility with Neutron Star Observables: A Bayesian Approach. Astrophysical Journal, 930(1), 17. https://doi.org/10.3847/1538-4357/ac5d3c

[8]

Providência, C., Malik, T., Bastos Albino, M., & Ferreira, M. Neutron Star Equation of State: Identifying Hadronic Matter Characteristics. e-Print: [2307.05086 [nucl-th]](https://arxiv.org/abs/2307.05086) DOI: [10.1201/9781003306580-5](https://doi.org/10.1201/9781003306580-5)

If your work relates to pQCD computations, chiral effective field theory constraints, or density-function implementations within the CompactObject framework, please ensure to update the corresponding sections with your publications.

Citing CompactObject

If you use our software, please consider citing us with the following standard citation:

The inference conducted here relies on the framework in the :math:`\textit{CompactObject}` package [CompactObject]_.
This is an open-source, full-scope package designed to implement Bayesian constraints on the neutron star EOS. Other work based on this package is ....

[CompactObject]

https://chunhuangphy.github.io/CompactObject/

Acknowledgements

We welcome feedback and contributions to expand the functionalities of CompactObject. Your support helps enhance the tool for the entire research community.

Contact

For inquiries, contributions, or to be featured in our publications list, please contact us at chun.h@wustl.edu.