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The error-bars shown in Fig. 7 are known to be underestimated (Lowes and Olsen, 2004) and furthermore the model inversion process is regularized.
However, our main point in this work has been to investigate how well a core field model inversion process can be regularized by constraints applied on the co-estimated flow model.
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Once the simpler viscoelastic model is validated, it is then employed to compute the trial resonance frequencies (which are the solutions of an eigenvalue problem associated with this model) during the inversion process.
Although quantitative modeling and inversion processes are quite recent and up-to-date techniques, qualitative geological interpretation of gravity and magnetic data are also carried out by visual inspection and image enhancement algorithms.
The input parameters (e.g., resistivities and depths) used as starting models during the inversion process were derived from manually interpreted curves and were constrained using lithologic logs.
The sensitivity analysis of model parameters to the inversion process was run studying the landscape of the SFSD-based cost function in 3D ISM.
A tentative model for the chromosomal inversion process is depicted in Figure 5 B. In the ancestral fragment here the structure of the fragment is identical to the Nipponbare one—, two homologous Pectate lyase genes in opposite orientations flanked an internal region of 45 kb (Blue and green boxes, Figure 5 B).
In statistics, this process is often termed "model inversion", and it provides estimates of SA, given SCR.
During the inversion process, all the calculated models were consistent with each other, meaning that a strong geophysical signal was embedded in the SH coefficients, even when considering the complete dataset.
The regularization technique applied during the inversion process smoothes the magnetic field model in time.
The matrix is then updated during the iterative least squares inversion process used to derive the model.
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