Dusty Thermal Vacuum (DTVAC) Facility Payloads Operations under Simulated Lunar Environment
Bibliographic record
Abstract
The dusty thermal vacuum (DTVAC) lunar and/or Mars environmental testing facility was designed and built to simulate the relatively extreme lunar near-surface conditions. DTVAC can accommodate test devices up to 1 × 1 × 0.9 m3 in volume, including smaller robotic assemblies, small drill assemblies, science payloads, and surface devices such as radiators and solar panels. Depending on the testing requirements, cooling can be provided either using a recirculating chiller to about 213 K or using LN2 down to about 90 K. In addition, cooling within the DTVAC facility to 41 K using liquid helium was successfully validated on a smaller, 0.25 m × 0.25 m, platen covered with lunar regolith simulant. For the LHe platen cooling, the shroud was cooled using LN2 to provide a thermal buffer. Recently, the DTVAC facility was equipped with an additional 25 Type-T thermocouples to improve its temperature monitoring capabilities, and a 1 to 200 amu residual gas analyzer (RGA) in order to identify the molecular composition of any outgassing from articles under test. A LN2-cooled cold finger was also installed to assist the system vacuum pump down and to facilitate the study of in-situ volatiles. This paper reviews the DTVAC upgrades, functionality calibrations, and summarizes its current capabilities.
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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) | 0.003 | 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".