Implications of dedicated seismometer measurements on Newtonian-noise cancellation for Advanced LIGO
M. W. Coughlin, J. Harms, J. Driggers, D. J. McManus, N. Mukund, M. P., Ross, B. J. J. Slagmolen, and K. Venkateswara

TL;DR
This study assesses how dedicated seismometer measurements can improve Newtonian-noise cancellation in Advanced LIGO, showing that a small number of sensors can effectively reduce low-frequency seismic noise affecting gravitational-wave detection.
Contribution
The paper demonstrates that a limited number of seismometers or tiltmeters can effectively cancel Newtonian noise in LIGO, based on detailed seismic field characterization and correlation analysis.
Findings
Seismometer arrays can effectively predict Newtonian-noise cancellation levels.
A small number of sensors suffices due to high spatial correlation of seismic surface displacement.
Ground tilt coupling observed is consistent with gravitational coupling effects.
Abstract
Newtonian gravitational noise from seismic fields will become a limiting noise source at low frequency for second-generation, gravitational-wave detectors. It is planned to use seismic sensors surrounding the detectors' test masses to coherently subtract Newtonian noise using Wiener filters derived from the correlations between the sensors and detector data. In this work, we use data from a seismometer array deployed at the corner station of the LIGO Hanford detector combined with a tiltmeter for a detailed characterization of the seismic field and to predict achievable Newtonian-noise subtraction levels. As was shown previously, cancellation of the tiltmeter signal using seismometer data serves as the best available proxy of Newtonian-noise cancellation. According to our results, a relatively small number of seismometers is likely sufficient to perform the noise cancellation due to an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
