Evaluation of the bubble spectrometer performance in space-like neutron fields
Bibliographic record
Abstract
The Space Bubble Detector Spectrometer (SBDS) consists of six bubble detectors each with a different neutron energy threshold. To characterize the spectrometer in a space-like neutron field, a series of experiments were conducted with high-energy neutrons from 6.0??105 eV to 7.50 ??108 eV at the Los Alamos National Laboratory. The analysis of the obtained data provided a calibration factor to adjust the neutron sensitivity, to high-energy neutrons of the SBDS, based on its response function matrix. The results suggest that the SBDS underestimates the ambient dose equivalent in a space-like neutron field by a factor of approximately 1.55. Consequently, the readings of the spectrometer should be adjusted when used in a space radiation environment. This thesis is dedicated to studying the SBDS in a space-like neutron spectrum. It outlines a part of the results of international ground testing experimental sessions of the space instrumentation supported by the Canadian Space Agency.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".