Geophysical signal decomposition by singular method and application in GIS
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, Bouguer anomaly was reconstructed as 2 D arrays by singular decomposition method. The cross multiplying of left and right eigenvector matrix created an orthogonal base. The projection coefficients for Bouguer anomaly are its eigenvalues (square of singular values). These singular values are one kind of power spectra or energy density. After comparison of energy density, changing rate of energy density and accumulated energy density, the energy measurement was defines as the function of energy density radii. The energy measurement defined by this way is related with the radii by multi fractal power law. Use optimal least square (LS) segmentation, the breaks points on radii coordinate were got. Use these breaks, geophysical fields could be reconstructed, filtered or decomposed in this orthogonal space. A program was made and integrated into GIS environment fro this purpose. Then using this tool, the geophysical data from Nova Scotia, Canada, were processed and the results were compared with known gold deposit ores positions and geology. It approved that the reconstructed fields represent background and anomalies very nicely. This method could also be used in image processing and compressing. By this software, the singular analysis and reconstruction can be done on a fly and with most facilities and could overlay with other known datasets.
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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 it