Quantitative Mineral Analysis of Ordinary Chondrites and Primitive Achondrites Using Reflectance Spectroscopy
Bibliographic record
Abstract
Abstract Visible and near‐infrared spectroscopy is a widely used method to determine the mineral compositions of meteorites and asteroids. In this study, we first investigated the association of multiple spectral parameters with mineral compositions using published laboratory spectra and mineral analysis of ordinary chondrites and primitive achondrites. New models for deriving the abundances of mafic silicate minerals were determined. Second, the influence of different mineral compositions on the 1.25 μm region is discussed. Finally, a method to distinguish the ordinary chondrites from primitive achondrites is developed. Our results suggest that the 1.25–1 μm band depth ratio (BDR 1.25) and 1 μm band width (BW I) are mainly associated with mineral abundances and to a lesser extent, compositions. Olivine is the dominant mafic mineral phase that affects the 1.25 μm region in ordinary chondrites and primitive achondrites. The plot of the BDR 1.25 versus the BW I is a useful method for correctly distinguishing about 90% of the primitive achondrites from ordinary chondrites. It relies largely on differences in olivine abundance and olivine/pyroxene ratios and to a lesser extent, olivine composition. The quantitative mineral analysis in this study based on the correlation between the spectra and mineralogy of ordinary chondrites and primitive achondrites provides a chance for understanding the petrology and geochemistry of S‐type asteroids. This study can also distinguish the partially melted S‐type asteroids (parent body of primitive achondrites) from the unmelted S‐type asteroids (parent body of ordinary chondrites).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".