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Simulation-based Inference of Massive Black Hole Binaries using Sequential Neural Likelihood

IM Vílchez, CF Sopuerta - arXiv preprint arXiv:2509.13842, 2025 - arxiv.org
Computer Science paper gr-qc Suggest

We propose a machine learning-based approach for parameter estimation of Massive Black Hole Binaries (MBHBs), leveraging normalizing flows to approximate the …

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BibTeX

@misc{vílchez2025simulationbasedinferencemassiveblack,
      title={Simulation-based Inference of Massive Black Hole Binaries using Sequential Neural Likelihood}, 
      author={Iván Martín Vílchez and Carlos F. Sopuerta},
      year={2025},
      eprint={2509.13842},
      archivePrefix={arXiv},
      primaryClass={gr-qc},
      url={https//arxiv.org/abs/2509.13842}, 
}

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