Figure 9. Monte-Carlo near-neighbor sampling inversion method (least squares best solution for 3D displacements and tilt vectors): projection of the model space in a 2-parameter plan (volume variation versus source depth). Dot size represents probability of each model (364 samples). Volume variation is well constrained but not the source shape and size.

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