Change from 24 bit to 20 bit caching for PsyTsatFnPb when using PerformancePrecisionTradeoffs Mode06 or higher

[JasonGlazer]

Pull request overview

A continuation of #8946 related to using cubic spline interpolation for the PsyTsatFnPb function. This changes the number of bits used for the caching from 24 to 20 bits which should result in faster execution time.

Pull Request Author

Add to this list or remove from it as applicable. This is a simple templated set of guidelines.

• Title of PR should be user-synopsis style (clearly understandable in a standalone changelog context)
• Label the PR with at least one of: Defect, Refactoring, NewFeature, Performance, and/or DoNoPublish
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• If any diffs are expected, author must demonstrate they are justified using plots and descriptions
• If changes fix a defect, the fix should be demonstrated in plots and descriptions
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Reviewer

This will not be exhaustively relevant to every PR.

• Perform a Code Review on GitHub
• If branch is behind develop, merge develop and build locally to check for side effects of the merge
• If defect, verify by running develop branch and reproducing defect, then running PR and reproducing fix
• If feature, test running new feature, try creative ways to break it
• CI status: all green or justified
• Check that performance is not impacted (CI Linux results include performance check)
• Run Unit Test(s) locally
• Check any new function arguments for performance impacts
• Verify IDF naming conventions and styles, memos and notes and defaults
• If new idf included, locally check the err file and other outputs

[mjwitte]

Ran regressions locally (no diffs for all files with design days, no diffs for 20 random files with annuals), unit test are running, so far, so good.

[mjwitte]

Unit tests pass, run a sample file with modes 5-8, no crashes, merging.