Construction of a Test Field for Relative Gravimeters in a Cave With a Cold Atom Gravimeter
Bibliographic record
Abstract
The Earth’s gravity field is complex and variable. Performance evaluation of gravimeter requires gravity fields with well-known absolute gravity values. The aim of this study is to utilize an in-house developed Cold Atom Gravimeter (CAG-E) in conjunction with CG-5 to establish a comprehensive test field consisting of 13 gravity datums at different altitudes. This absolute gravity field can be used for testing multiple relative gravimeters at the same time. The additional theoretical model calculations of this test field can provide a reference for gravity values at different heights, and a three-dimensional test field can be constructed in the future. In addition, a detailed performance evaluation of CAG-E was performed where the accuracy of the instrument repeatability was found to be 4.8 μGal. Finally, a correction of the geological density of the mountain was carried out using the absolute gravity values, and a minimum gravity difference residual of 0.9 μGal was obtained. These results verify the reliability of this test field for relative gravimeters.
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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".