Bright
← Living questionsRECORD / Science

Quieting the mirrors that listen to space

Researchers developed Deep Loop Shaping, a reinforcement-learning feedback controller tested on the LIGO Livingston Observatory to reduce control noise in a difficult mirror-control loop.

Original sources ↓ · Revision history ↓

Demonstrated · source published 2025-09-04

The human problem

Tiny vibrations can obscure the faint gravitational-wave signals that observatories are built to measure.

The prior constraint

Traditional feedback control must keep LIGO's mirrors stable without injecting more vibration into the observation band.

AI’s actual role

A reinforcement-learning policy was trained with frequency-domain rewards to suppress control noise while stabilizing the mirror system.

The documented result

The researchers report 30- to 100-fold lower injected control noise than existing controllers in the difficult loop, plus stable repeated operation on the real Livingston hardware.

Why it may matter

Reducing a source of instrument noise may allow scientists to measure fainter or more distant gravitational-wave events.

Limitations

The projected benefit of hundreds more events per year depends on applying the method across all LIGO mirror-control loops.

That full-observatory outcome has not been demonstrated in the cited result.

Unresolved questions

How does the controller perform when extended across the whole mirror-control system?

Can it improve observing yield and inform future ground- and space-based observatories?

Source history & evidence assessment
Maturity
Demonstrated
Claim confidence
unassessed
Event date
Not recorded
Source published
2025-09-04
Captured
2026-09-07
Last source review
2026-09-07
Editorial method
AI-assisted source review
Place / relevance
Not recorded

AI-assisted editorial comparison with the cited primary source; result, setting, source date and limitations retained. Independently checked within the research team. Publication authorized by the site owner; no human source review is claimed.

Maturity describes the tested or operational setting. Confidence describes support for the particular claim; one does not determine the other.

Original sources

Using AI to perceive the universe in greater depth · institution

Institutions: Google DeepMind · LIGO · Caltech · Gran Sasso Science Institute

Explore the underlying question

Revision & correction history

2026-09-07 · Reducing a source of instrument noise may allow scientists to measure fainter or more distant gravitational-wave events.

No corrections recorded.