Exploring the Transmission of VNIR Light Through Martian Regolith
Bibliographic record
Abstract
The identification and analysis of hyperspectral visible and near-infrared signatures of key targets, notably silica-rich outcrops, on Mars can be considerably affected by the presence of covering regolith materials. Before reaching and after being reflected by these targets, the impinging electromagnetic radiation is propagated through the regolith materials. Hence, the investigation of these materials' light transmission capabilities, the focal point of this work, can be instrumental for the correct interpretation of the hyperspectral responses of silica-rich deposits and other subsurface targets. In the absence of actual Martian regolith samples to be used in transmittance experiments, high-fidelity modeling approaches can effectively contribute to advance the knowledge in this area. Accordingly, we carried out a controlled assessment of the quantitative and qualitative traits of light transmitted through representative samples of Martian regolith using a first-principles simulation framework supported by radiometric data acquired in the Gusev crater on Mars. We also examined changes in the light transmission profiles of Martian regoliths caused by environmentally-induced variations in their grains' morphology.
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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 | 0.000 | 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) | 0.001 | 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".