Assessing the depth of the regolith around radar-dark halo craters on the Moon
Bibliographic record
Abstract
Impact cratering is a ubiquitous geological process in our Solar System and plays an important role in shaping the landscape of many planetary bodies, including the Moon. Our study focuses on the unique radar-dark halo craters (RDHCs) on the Moon, which are surrounded by distinctive, ring-shaped structures (i.e., haloes) that have unusually low radar backscatter. Our aim is to understand the interaction between the ejecta emplacement around RDHCs and the lunar regolith by assessing the local depths of the regolith surrounding RDHCs. We use the morphology of small impact craters (∼10–250 m) to infer the depth of the regolith around these RDHCs. We examine small craters in images from the Lunar Reconnaissance Orbiter's (LRO) Narrow Angle Camera (NAC) within the continuous and discontinuous ejecta blankets of five RDHCs. We then compare these results with those of five non-RDHCs. Overall, we observe similar regolith characteristics around RDHCs and non-RDHCs. Interestingly, our results do not show a strong correlation between crater age and regolith depths. This suggests that despite continued bombardment, the regolith layer is not getting significantly deeper with age. In addition to impact gardening, there may be other factors contributing to regolith formation around impact craters on the Moon. Additionally, our study suggests that the flat-floor small crater morphology is more dominant for the RDHCs than non-RDHCs, which points to a deeper and more uniform mixture of regolith in these regions. Our study thus suggests that the emplacement of fine-grained RDH material over bedrock disrupts the ordinary regolith formation. We conclude that a careful re-examination of our understanding of regolith formation and evolution is necessary. • We measure regolith depth estimates around lunar radar-dark halo craters (RDHCs). • Regolith depths are neither age dependent nor strongly linked to geological setting. • Regolith formation and evolution may involve factors beyond impact gardening. • Careful reexamination of our understanding of regolith formation is necessary.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".