Benefits of using multi-component transmitter–receiver systems for determining geometrical parameters of a dipole conductor from single-line anomalies
Bibliographic record
Abstract
We show the advantages of using multi-component transmitter–receiver systems for determining the geometry of a compact planar target whose electromagnetic response can be approximated by a dipole. Our approach is based on a modified version of an algorithm that we previously published using a single-component (vertical) transmitter.Tests on synthetic models reveal that single transmitter systems are unable to resolve the orientation of a dipole conductor that approaches axial symmetry with respect to the traverse line. This occurs as a result of lack of a noticeable y-component anomaly, where the y-component is oriented transverse to the flight-line direction. For a plate-like conductor, axial symmetry equates to being at a small offset and having a strike parallel or perpendicular to the traverse line. Here, the term ‘offset’ is used to denote the lateral distance from the centre of the conductor to the flight line. The ambiguities can be resolved through measuring specific components of a multi-component transmitter–receiver system; namely, Rxz and Rzz with one of Rxy, Ryy, Rzy, Ryx and Ryz, where the first letter denotes the orientation of the transmitter and the second letter denotes the orientation of the receiver. However, for the case of a MEGATEM system geometry, measuring Rzx, Rzz and Ryx is most suitable for determining the geometry of conductors striking nearly perpendicular or parallel, and at small offset to the traverse line. The minimum system capable of determining the correct geometrical parameters of a dipole conductor for the small-offset symmetric case would therefore consist of a two-component (y- and z-directed) transmitter, as well as a two component (x- and z-directed) receiver.Tests on line 15701 of the MEGATEM survey in Chibougamau, Quebec, confirm the inability of single-transmitter systems to determine geometrical parameters of a dipole conductor for the case where y-component data is unavailable.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".