New Plasma Source with Accelerator for Creating a Dust Flow of a Lunar Dust Simulant
Bibliographic record
Abstract
Abstract In a framework of a program on interaction of lunar dust simulants with materials, we developed a new plasma source integrated into the lunar environment simulator and used in charging the dust simulants deposited onto various space materials. The designed source includes an electrically insulated dust container located at the bottom of the chamber, allowing to ground it or apply an electrical potential. Above the container a mesh electrode is placed, isolated electrically from the dust container. Magnets, installed in the system, allow forming and focusing of plasma. Samples used for testing are fixed on a holder located above the plasma dust source. It is also electrically insulated, and can be either grounded or supplied with an electrical potential. The plasma, ignited in the vacuum chamber, interacts with the dust in the container, charging it. The charged dust particles begin moving towards the sample holder, raised to a much higher potential. By selecting the electrical potentials applied to the sample holder or to the plasma source mesh, or to both, the dust particles will accelerate in the space between the dust container and the sample holder. This paper describes the idea, design and testing of this plasma source. It also describes the original studies of charging the dust simulator obtained both by this plasma source and by the VUV and tribological methods, carried out in the same vacuum chamber using the same measuring devices. A comparison of these original data was also made. A prototype of this source has been tested under various conditions, and its operation and possible advantages over other designs of dust distribution sources are presented and discussed in this paper.
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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".