Observation of a potential future sensitivity limitation from ground motion at LIGO Hanford

Harms, J.; Bonilla, E.; Coughlin, M. W.; Driggers, J. C.; Dwyer, S. E.; McManus, D. J.; Ross, M. P.; Slagmolen, B. J. J.; Venkateswara, K.

doi:10.1103/physrevd.101.102002

Cited by 23 publications

(26 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rayleigh waves are predicted to give the dominant contribution to NN in surface detectors (Coughlin et al, 2016;Harms et al, 2020), and even underground detectors can still be limited by gravitational noise from Rayleigh waves depending on the detector depth (Badaracco & Harms, 2019). The Rayleigh field produces surface displacement and density perturbations beneath the surface at the same time (Beccaria 10.1029/2020JB020401 et al, 1998Hughes & Thorne, 1998), which leads to gravity perturbations.…”

Section: Resultsmentioning

confidence: 99%

Simulations of Gravitoelastic Correlations for the Sardinian Candidate Site of the Einstein Telescope

Andríc

Harms

2020

JGR Solid Earth

Self Cite

View full text Add to dashboard Cite

Gravity fluctuations produced by ambient seismic fields are predicted to limit the sensitivity of the next generation, gravitational wave detector Einstein Telescope at frequencies below 20 Hz. The detector will be hosted in an underground infrastructure to reduce seismic disturbances and associated gravity fluctuations. Additional mitigation might be required by monitoring the seismic field and using the data to estimate the associated gravity fluctuations and to subtract the estimate from the detector data, a technique called coherent noise cancelation. In this paper, we present a calculation of correlations between surface displacement of a seismic field and the associated gravitational fluctuations using the spectral element SPECFEM3D Cartesian software. The model takes into account the local topography at a candidate site of the Einstein Telescope at Sardinia. This paper is a first demonstration of SPECFEM3D's capabilities to provide estimates of gravitoelastic correlations, which are required for an optimized deployment of seismometers for gravity noise cancelation.

show abstract

Section: Resultsmentioning

confidence: 99%

Simulations of Gravitoelastic Correlations for the Sardinian Candidate Site of the Einstein Telescope

Andríc

Harms

2020

JGR Solid Earth

Self Cite

View full text Add to dashboard Cite

show abstract

“…This model is accurate for arbitrarily complex surface displacements, but it does not consider contributions of sub-surface compression of the ground medium by body waves. As soon as Newtonian noise will be observed (or any other linear ground-to-test-mass coupling [26,27]), the coupling model can be substituted by correlation measurements between seismometers and GW data, which makes the optimized array configuration fully model independent.…”

Section: Discussionmentioning

confidence: 99%

Machine learning for gravitational-wave detection: surrogate Wiener filtering for the prediction and optimized cancellation of Newtonian noise at Virgo

Badaracco,

Harms,

Bertolini

et al. 2020

Preprint

View full text Add to dashboard Cite

The cancellation of noise from terrestrial gravity fluctuations, also known as Newtonian noise (NN), in gravitational-wave detectors is a formidable challenge. Gravity fluctuations result from density perturbations associated with environmental fields, e.g., seismic and acoustic fields, which are characterized by complex spatial correlations. Measurements of these fields necessarily provide incomplete information, and the question is how to make optimal use of available information for the design of a noise-cancellation system. In this paper, we present a machine-learning approach to calculate a surrogate model of a Wiener filter. The model is used to calculate optimal configurations of seismometer arrays for a varying number of sensors, which is the missing keystone for the design of NN cancellation systems. The optimization results indicate that efficient noise cancellation can be achieved even for complex seismic fields with relatively few seismometers provided that they are deployed in optimal configurations. In the form presented here, the optimization method can be applied to all current and future gravitational-wave detectors located at the surface and with minor modifications also to future underground detectors.

show abstract

“…Newtonian noise is produced by direct gravitational coupling of test masses to fluctuating mass density fields, such as produced by seismicity and atmospheric pressure fluctuations [65][66][67][68] to limit the design sensitivity of the Advanced LIGO detectors from 10 Hz to 20 Hz [69,70]. Newtonian noise has not been detected in Advanced LIGO, and is predicted to be below O3 sensitivity levels [71].…”

Section: Newtonian Noisementioning

confidence: 99%

Sensitivity and performance of the Advanced LIGO detectors in the third observing run

Buikema¹,

Cahillane²,

Mansell³

et al. 2020

Phys. Rev. D

Self Cite

312

262

View full text Add to dashboard Cite

On April 1st, 2019, the Advanced Laser Interferometer Gravitational-Wave Observatory (aLIGO), joined by the Advanced Virgo detector, began the third observing run, a year-long dedicated search for gravitational radiation. The LIGO detectors have achieved a higher duty cycle and greater sensitivity to gravitational waves than ever before, with LIGO Hanford achieving angle-averaged sensitivity to binary neutron star coalescences to a distance of 111 Mpc, and LIGO Livingston to 134 Mpc with duty factors of 74.6% and 77.0% respectively. The improvement in sensitivity and stability is a result of several upgrades to the detectors, including doubled intracavity power, the addition of an in-vacuum optical parametric oscillator for squeezed-light injection, replacement of core optics and end reaction masses, and installation of acoustic mode dampers. This paper explores the purposes behind these upgrades, and explains to the best of our knowledge the noise currently limiting the sensitivity of each detector.

show abstract

Observation of a potential future sensitivity limitation from ground motion at LIGO Hanford

Cited by 23 publications

References 24 publications

Simulations of Gravitoelastic Correlations for the Sardinian Candidate Site of the Einstein Telescope

Simulations of Gravitoelastic Correlations for the Sardinian Candidate Site of the Einstein Telescope

Machine learning for gravitational-wave detection: surrogate Wiener filtering for the prediction and optimized cancellation of Newtonian noise at Virgo

Sensitivity and performance of the Advanced LIGO detectors in the third observing run

Contact Info

Product

Resources

About