Abstract
Fast electromagnetic follow-up observations of gravitational-wave sources such as binary neutron stars could shed light on questions across physics and cosmology. A machine-learning approach brings that a step closer.
Original language | English |
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Pages (from-to) | 43-44 |
Number of pages | 2 |
Journal | Nature |
Volume | 639 |
Issue number | 8053 |
DOIs |
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Publication status | Published - 5 Mar 2025 |
Keywords
- Astronomical instrumentation
- astronomy and astrophysics
- cosmology
- machine learning