Effect of cardioid and limaçon directional sensors on towed array reverberation response
Bibliographic record
Abstract
The effect of cardioid and limacon directional sensors on towed horizontal line array reverberation response,was investigated. As the use of towed horizontal line arrays give axial symmetry of beam patterns that led to left-right ambiguity, application of elements with directional responses where the omni-directional elements are augmented with crossed dipole pairs allowing formation of cardioid or limacon beam patterns to improve the echo-to-reverberation ration was examined. It was observed that production of towed array beam patterns with cardioid or limacon directional sensors in place of omni-directional elements reduces the reverberation by 6 dB and suppress the ambiguous beam near broadside. The limacon sensors reduce the ambiguous beam, and echo-to-reverberation ratio, much more effectively than the cardioid sensors and it is very useful for target detection.
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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".