Environmental Noise

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Revision as of 16:31, 14 April 2020 by Tomislav.andric (talk | contribs) (Newtonian noise)
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Newtonian noise

Terrestrial gravity fluctuations due to environmental fields and moving or vibrating objects poses an important source of environmental noise in gravitational-wave (GW) detectors. This noise is known as Newtonian noise (NN) or gravity-gradient noise. Unless associated with objects, NN has a steeply falling spectrum, which makes it relevant especially at low frequencies (mainly below 30 Hz).

Current research activities are on the modeling of NN, by analytic studies as well as numerical simulations, and on the development of noise-mitigation methods, especially coherent noise cancellation.

[Terrestrial Gravity Fluctuations (2019)]

Seismic

Compact beam-rotation sensor at LIGO Hanford

[Correlation studies of oceanic microseisms with a 3D array at the former Homestake mine (2019)]

Body-wave NN cancellation

In underground detectors, we can suppress Newtonian Noise (NN) from surface waves very well, but we have still to deal with NN from body waves.

We need then to understand if we can actually suppress this kind of noise. The basic idea is to cancel it out from the data by using a Wiener filter. This comprises the placement of some seismic sensors which should record the seismic field in order to reconstruct the NN affecting the test mass. Instead of placing real seismometers, we modeled a simple isotropic and homogeneous seismic field which surrounds the test mass of the detector and that is composed only by body waves. With this model we found that with already 13 seismic sensors set in an optimal configuration we can reduce the NN by a factor 10, while we can still reach a factor 3 of reduction even with a degraded sensor configuration.

[Body-wave NN cancellation for ET (2019)]

Advanced Virgo +

[Array analysis at Virgo (2019)]

[Virgo NN reduction by recess at Virgo (2020)]

LIGO

[Array analyses at LIGO Hanford (2018)]

[Observation of linear ground-to-h(t) coupling at LIGO Hanford and implications for Newtonian-noise modeling (2020)]

Atmospheric

[Modeling of acoustic NN in ground-based and underground GW detectors (2018)]

Advanced Virgo +

[Empirical mode decomposition for acoustic-transient analysis (2019)]

Magnetic noise

[Measurement and global correlation of Schumann resonances (2018)]