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the claim
Gravitational wave detectors identify source origins by analyzing waveform signatures of inspiraling masses.
the verdict
SUPPORTED
the evidence backs this
refutedsupported
the weight of evidence
3 sources for · 0 against

Gravitational-wave detectors identify source origins by analyzing waveform signatures of inspiraling compact binary masses.

Evidence for · 3
Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA.
2018 · cited by 60
Paper [2] discusses the capability of gravitational-wave detector networks to determine source locations from the inspiral of binary systems.
See more details
The analysis

Papers [2], [3], and [6] all directly discuss how gravitational wave detectors analyze the inspiral signals (waveforms) of compact binaries to determine their source location and parameters, fully supporting the claim.

More for · 2
Applying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectors
2018 · cited by 60
Paper [3] applies deep neural networks to estimate source parameters including sky location for compact binary coalescences.
Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector network
2023 · cited by 20
Paper [6] presents a rapid parameter estimation framework to resolve source localization of compact binary coalescence signals from waveform models.
Everything we examined (12)
  1. SciPy 1.0: fundamental algorithms for scientific computing in Python.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  2. Patterning and folding of intestinal villi by active mesenchymal dewetting.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  3. Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA.peer-reviewedsupports
  4. Applying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectorspeer-reviewedsupports
  5. Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  6. Fast radio bursts.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  7. Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector networkpeer-reviewedsupports
  8. Searches for compact binary coalescence events using neural networks in the LIGO/Virgo second observation periodpeer-reviewedno side takennot shown: read and judged not to bear on this claim
  9. Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  10. Primordial black holes and their gravitational-wave signatures.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  11. The Quantum Memory Matrix: A Unified Framework for the Black Hole Information Paradox.peer-reviewedno side takennot shown: read and judged not to bear on this claim
  12. Multi-detector null-stream-based χ2 statistic for compact binary coalescence searchespeer-reviewedno side takennot shown: read and judged not to bear on this claim
The paper trail · every fact has a biography
first checked05 Aug 2026
judged → SUPPORTED · 8605 Aug 2026
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