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A neural network for estimating compact binary coalescence parameters of gravitational-wave events in real time

  • Missouri University of Science and Technology
  • University of Trento
  • International School for Advanced Studies

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number185017
JournalClassical and Quantum Gravity
Volume42
Issue number18
DOIs
StatePublished - Dec 19 2025

ASJC Scopus Subject Areas

  • Physics and Astronomy (miscellaneous)

Keywords

  • compact binary coalescence
  • gravitational waves
  • low-latency inference
  • machine learning

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