A scientific team has announced the successful application of an AI method called "Deep Loop Shaping" to the control system of the LIGO gravitational wave observatory, reducing feedback loop noise by 30 to 100 times. This method improves the stability of interferometer mirrors used to detect gravitational waves, which are minute fluctuations in the universe.
AI Method Deep Loop Shaping Reduces LIGO Gravitational Wave Observation Noise by up to 100x
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Deep Loop Shaping was developed through joint research between GSSI and LIGO, which is operated by Caltech. Its effectiveness has been demonstrated at the observatory in Livingston, Louisiana. LIGO measures gravitational waves using laser interference, but waves from coastal areas and minute vibrations have been factors that disrupt measurements.
In conventional LIGO, it was difficult to capture signals from celestial bodies corresponding to "missing links," such as intermediate-mass black holes. The team stated that the introduction of this new method will enable the collection of more detailed event data on a scale of hundreds of cases per year. This is expected to deepen the understanding of the dynamics and formation processes of the universe.
This method may also be applicable to other engineering problems requiring vibration suppression or noise cancellation, such as aerospace and robotics, beyond gravitational wave observation.
Source: Using AI to perceive the universe in greater depth (HN 55pt, 23 comments) (HN Search (backfill), 2025-09-05)