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[FZJ-2026-03361]
Poster (After Call)
Abuladze, E. ; Bekman, I. ; Zambanini, A. ; et al
SEISMIC SIGNAL PREDICTION USINGACCELEROMETER ARRAYS FOR ONLINENEWTONIAN-NOISE MITIGATION ON FPGA
2026XVI ET Symposium 2026, Agricultural University of Georgia,Aachen, Agricultural University of Georgia,, Germany, 15 Jun 2026 - 19 Jun 20262026-06-152026-06-19
Seismic and environmental noise, particularly Newtonian noise, constitute a fundamentallimitation for the Einstein Telescope, motivating the development ofadvanced, data-driven approaches for noise mitigation to improve the sensitivityand operational stability of its interferometric systems. Real-time compensationof Newtonian noise can improve sensitivity of the sensor and allow rapidtriggering of multi-messenger observations when a gravitational wave signal isdetected.A neural network is trained to reconstruct the waveform of a target sensorbased on measurements from neighboring nodes. [...]
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