Convolutional and graph neural networks outperform the Wiener filter by factors of 15-80 in predicting Newtonian noise from single seismic events on synthetic seismometer array data.
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astro-ph.IM 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Optimized seismic arrays with multiple sensors per borehole plus tunnel extensions achieve broadband Newtonian noise mitigation above 3-4 Hz with high robustness to position variations for the Einstein Telescope.
citing papers explorer
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NNNN: Neural Networks for Newtonian Noise Mitigation at the Einstein Telescope
Convolutional and graph neural networks outperform the Wiener filter by factors of 15-80 in predicting Newtonian noise from single seismic events on synthetic seismometer array data.
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Optimization and robustness of cost-efficient seismic arrays for Newtonian noise cancellation at the Einstein Telescope
Optimized seismic arrays with multiple sensors per borehole plus tunnel extensions achieve broadband Newtonian noise mitigation above 3-4 Hz with high robustness to position variations for the Einstein Telescope.