Accelerated inference of binary black-hole populations from the stochastic gravitational-wave background. Giarda, G., Renzini, A. I., Pacilio, C., & Gerosa, D. Classical and Quantum Gravity, 42(19):195015, October, 2025.
doi  bibtex   
@ARTICLE{2025CQGra..42s5015G,
       author = {{Giarda}, Giovanni and {Renzini}, Arianna I. and {Pacilio}, Costantino and {Gerosa}, Davide},
        title = "{Accelerated inference of binary black-hole populations from the stochastic gravitational-wave background}",
      journal = {Classical and Quantum Gravity},
     keywords = {gravitational waves, gravitational wave background, machine learning for physics, black hole binaries populations, deep learning for physics, General Relativity and Quantum Cosmology, High Energy Astrophysical Phenomena},
         year = 2025,
        month = oct,
       volume = {42},
       number = {19},
          eid = {195015},
        pages = {195015},
          doi = {10.1088/1361-6382/ae07a0},
archivePrefix = {arXiv},
       eprint = {2506.12572},
 primaryClass = {gr-qc},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025CQGra..42s5015G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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