Tracing mineralogy and alteration intensity using the spectral alteration index and depth ratios at the Northwest Zone of the Lemarchant VMS deposit, Newfoundland, Canada
Bibliographic record
Abstract
The use of hyperspectral reflectance in mineral exploration has been steadily increasing in recent decades. This study presents a novel approach that integrates geochemical and spectral proxies to delineate ore formation and alteration processes, which provide new spectral-based exploration parameters that can be used in real time. The precious metal-bearing, bimodal-felsic Northwest Zone of the Lemarchant VMS deposits, Newfoundland, Canada is used as a case study.Alteration associated with the Northwest Zone includes intense and localized sulfide (pyrite, chalcopyrite, sphalerite and galena) and barite enrichment, and quartz, white mica and chlorite alteration. Zones of elevated Zn (> 5000 ppm) are associated with high chlorite carbonate pyrite index (CCPI), Ishikawa alteration index (AI), Ba/Sr, and low Na2O values and elevated SiO2 and K2O, Fe2O3, Na2O, and BaO contents, similar to global alteration signatures in VMS deposits. Mineralized areas contain phengitic white micas with 2200 nm absorption features longer than 2215nm and Mg-rich chlorites with 2250 nm absorption features shorter than 2252nm. Together, these data are consistent with the Northwest Zone having experienced intense hydrothermal alteration during the mineralization event.A new lithology normalized spectral alteration index (SAI) for white mica and chlorite was developed in order to map and characterize the alteration intensity surrounding the deposit. In addition, depth ratio parameters (2200D/2340D vs 2250D/2340D) were used to characterize mineralogical changes and zonation. Together, these features document a paleo-fluid pathway with Mg-chlorite alteration extending to at least 300 m away from the mineralization, outside the study area, within the andesitic and dacitic units.This study demonstrates that the use of VSWIR spectral reflectance data coupled with geochemical alteration proxies (i.e., AI, CCPI, Ba/Sr, Na2O) and lithogeochemical mass balance changes can identify and characterize alteration haloes and paleo-fluid pathways in the vicinity of VMS deposits. More specifically, hyperspectral reflectance can identify and quantify areas of intense alteration using spectral alteration indexes (SAI), estimate the relative abundances of white mica and chlorite using depth ratios, and characterize the chemical composition of the mineral phases, and relate them to specific alteration processes, which is not possible using only geochemistry. One of the main advantages of this method is that hyperspectral reflectance can be rapidly achieved on drill core at a high resolution for a relatively low cost, minimal sample preparation and results are available instantly, compared to a longer wait time for geochemical results, greatly enhancing decision making processes during drilling exploration programs, allowing vectoring and rapid decisions making during exploration programs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".