What's new in montaj Geochemistry 6.3

New SEMplot - Kimberlite Indicator Mineral Geochemistry Analysis tool

SEMplot is a simple-to-use workflow for analyzing indicator mineral grain geochemistry within the Oasis montaj software environment. The workflow includes the import of the data, the mineral identification of the grain based on its chemistry, display of the selected grains on the discriminating graphs and interactive re-classification.

Standard published graphs are included. Users are also able to create their own graphs and overlays. Users may use the raw data, cation, recast, Fe normalized or Fe corrected data stages. The built in OM Dynamic linking ensures the spatial context between the grain graphs, database and maps is maintained.

• View SEMplot diamond exploration workflow demo

New scatter and ternary template with overlays

The scatter and ternary plot tools now provide the ability to create and save templates of your scattergram and ternary plots, making it easy to produce your own custom plots every time. Template specific overlays may be also be generated to create discriminating diagrams.

This enables you to classify spatial data based on standard or custom discrimination diagrams for geochemical results, such as the example above of whole rock analysis classified by total alkaline (Na2O+K2O) versus silica (SiO2) content for volcanic and plutonic distributions.

Data can also be categorized based on statistical distribution and the results visualized in spreadsheet, map, section and 3D views.

Colour categorization of assay data in databases

All assay data can now be automatically colour classified within the databases based on user defined percentile breaks. Up to 12 zones are supported. The data values within the database are coloured based on this classification. This coloured classification is the used in the histogram and probability tools, and is also used when plotting colour symbols and grids.

These ranges for each element or compound can be adjusted manually based on the statistical distribution of the assay data as visualised in the histogram and probability tools.

Leveling and normalization of assay data

Geochemical data can now be leveled or normalized based on categories/groups as identified in a dataset based on the following methods:

• Divide by group means
• Divide by group medians
• Divide by group modes
• Divide by group log averages (geometric means)
• Z-Scores: subtract mean, divide by standard deviation
• Z-Scores: subtract median, divide by standard deviation
• Robust Z-Score: subtract median, divide by 1st to 3rd percentile range
• Peak to noise (Response Ratio): divide by the mean of the 1st quartile, then round to the nearest integer

The results are written back to the database as new data and can be plotted using standard tools.

Box and Whisker plotting

Data can now also be plotted based on categories contained within the dataset displaying the mean, minimum, maximum, 50th (median), 25th and 75th (box) percentiles.

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