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Version 2.6.0

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@weber1158 weber1158 released this 09 Nov 20:52
v2.6.0
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Update

The File Exchange continues to be problematic with semantic versioning, so I am re-releasing v2.1.0 as v2.6.0 in attempt to fix the syncing issue. In other words, this release is identical to the previous release---I am simply changing the release tag in hopes that the updated tag will sync with the File Exchange. (The File Exchange page is stuck on Version 2.4.0, even though such a version does not exist. There is a version 2.04, but for some reason the File Exchange stopped understanding how to interpret this.)

I am copy-pasting the release notes from v2.1.0 below.

💥New Features (Beta)

Version 2.1.0 introduces new functions for mineral classification that attempt to identify minerals based on consistencies between multiple algorithms. These functions have been tested (test files for these new functions are included in 📁tests) but please note that there is still a lot of room for improvement. I would recommend treating these functions like a beta release, although broadly speaking they appear to work well as-is. If you find any issues or have suggestions please feel free to open an Issue on the main GitHub page.

Descriptions of the new "multiclassification" functions are provided below:

eds_multiclassification

  • For EDS data stored in a tabular format
  • Uses the Kandler algorithm (Kandler et al. 2011) to filter non-mineralogical observations by first identifying data consistent with silicates, carbonates, chlorides, mixtures, oxides, quartz, and phosphates
  • Cross-references numerous mineral classification algorithms to identify consistencies; assigns a final mineral to each observation based on these consistencies
  • Numerous optional name-value pairs

msa_multiclassification

  • For EDS data stored in an x-ray energy file (.msa or .emsa file extension)
  • First identifies whether the spectrum is "mineral-like" using the Kandler algorithm (Kandler et al. 2011)
  • Cross-references the results of five mineral classification algorithms to determine the most-likely mineral assignment

More details on both functions can be found in the online Documentation or by accessing the function docstrings:

doc eds_multiclassification

doc msa_multiclassification
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