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 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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".