First results from the DORN experiment onboard the Chang’E 6 mission
Bibliographic record
Abstract
The DORN instrument is an alpha spectrometer that was deployed to the surface of the Moon aboard the Chang’E 6 spacecraft in June 2024, in the Apollo crater within the South Polar Aitken Basin, at a latitude of -41.6°S. Its purpose was to measure the concentration of radon and polonium released from the lunar regolith, to study the origin and dynamics of the lunar exosphere and the physical and thermal properties of the regolith. It consisted of 16 silicon detectors, organised in 8 Detection Units and 2 Fields of view, covering the near and far fields, and measuring charged particles in the 0.6 to 12 MeV energy range. The instrument was switched on several times during the mission. First, during the Chang’E 6 Earth-Moon transfer (for 10 hours), then in an ellipitical orbit (for 32 hours) and in a circular orbit at an altitude of ~200 km (for 111 hours), in the wake of a strong solar storm. After Chang’E 6 landing, it collected 19 hours of data and was switched off a few hours before the liftoff of the ascent module. We will present the results obtained by this instrument and compare them with previous measurements of radon and polonium made from the orbit and with simulations obtained by a global model of radon transport in the lunar subsurface and exosphere.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".