A new DAS sensor prototype for multicomponent seismic data
Bibliographic record
Abstract
Abstract We present a novel type of multicomponent sensor prototype that uses distributed acoustic sensing (DAS) technology. A prototype of the new sensor has three individual parts consisting of optical fiber wound around a polyvinyl chloride frame. We deployed the sensor prototype at a test site and recorded seismic waves generated by a wooden hammer. A geophone array was also set for comparison purposes. The data observed with the new DAS sensor prototype show good agreement with the conventional geophone. The particle motion of waveforms obtained by the DAS sensor prototype shows ellipsoidal motion, the propagating velocity of which coincides with the velocity of the Rayleigh waves estimated by the dispersion curve based on the geophone data. We introduced a simple string model to explain the dynamic behavior of the sensor. The analysis results of the string model can explain features of recorded seismic data. These results indicate that the DAS sensor prototype records seismic waves via lateral vibration of the string. The present study shows a new possibility of the multicomponent sensor with the DAS technology.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".