Using the unrelated illumination method in the reconstruction of three dimensional dielectric bodies
Bibliographic record
Abstract
In the last decade several numerical techniques have been developed for solving the inverse electromagnetic scattering problems and microwave imaging of inhomogeneous dielectric bodies. In particular two approaches have been utilized. The first is the microwave diffraction tomography [1]. This approach is based on the generalization of the classical x-ray computed tomography by taking into consideration the diffraction effects. This method can only handle low contrast dielectric bodies. The second approach aims to solve the exact equation of the electromagnetic inverse scattering problem by numerical methods such as the method of moments (MoM) [2]. In the MoM, the problem solution is reduced to the solution of linear system of algebraic equations. Unfortunately the scattering matrix that governs the external scattered field induced by an internal equivalent current is highly ill-conditioned. Thus any attempt to compute its inverse makes the system ill-posed especially in the presence of noise. Several regularization techniques have been used [3], [4] aiming to reduce the effect of the ill-conditioning. These employ priori information either to select a suitable regularization parameter or to enforce convergence in iterative techniques. Moreover, most of these techniques require the presence of a few number of scatterers and employ multiview illumination and some are only applicable to two-dimensional problems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".