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Description
Towards Realistic Newtonian Noise Estimation for the Einstein Telescope in the EMR
Newtonian Noise (NN) is expected to be one of the main factors limiting the sensitivity of ET-LF. However, producing accurate estimates of it remains difficult. Reliable NN predictions require subsurface and seismic wavefield models that are as realistic as possible.
This work describes the current state of efforts to estimate NN in the Euregio Maas-Rhine (EMR) region in the context of the Einstein Telescope project. The study centers on building realistic subsurface models by combining geological and geophysical data from the EMR area. Special care is taken in constructing numerical meshes that are well-suited for simulating seismic wave propagation while preserving subsurface heterogeneity. Preliminary simulations carried out on simplified geometries and layered models are presented to validate the modelling workflow and assess computational demands.
The work also identifies several important challenges in producing realistic NN estimates: capturing complex geological heterogeneities across wide seismic velocity ranges, generating meshes that are both stable and computationally efficient at large spatial scales, dealing with uncertainty in subsurface physical parameters, and managing the numerical cost of linking seismic wavefield simulations with gravity perturbation calculations — with storage and memory identified as key bottlenecks.
This ongoing research aims to establish a solid modelling framework for future NN studies, and represents a step toward a full three-dimensional model for NN estimation.