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Drop cubic fit for interpolated broadening#473

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ajjackson wants to merge 6 commits intorelease-2.0.0from
drop-cubic-fit
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Drop cubic fit for interpolated broadening#473
ajjackson wants to merge 6 commits intorelease-2.0.0from
drop-cubic-fit

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@ajjackson
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@ajjackson ajjackson commented Apr 7, 2026

Close #282

  • Remove arguments selecting between cubic and cheby-log fits
    • Despite meaning the same thing these have various names: width_fit, adaptive_fit, adaptive_error_fit
    • Initially removed from other modules, but can also remove from broadening module
  • Observe that all unit test failures are (small) value differences in broadened spectra
  • Update test data

@ajjackson ajjackson changed the title Drop cubic fit Drop cubic fit for interpolated broadening Apr 7, 2026
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github-actions bot commented Apr 7, 2026

Test Results

   22 files   -     25     22 suites   - 25   18m 9s ⏱️ - 30m 59s
1 115 tests  -      2  1 101 ✅  -      9   6 💤 ± 0   8 ❌ + 8 
9 948 runs   - 16 612  9 819 ✅  - 16 593  57 💤  - 90  72 ❌ +72 

For more details on these failures, see this check.

Results for commit c7e604a. ± Comparison against base commit 6132c68.

♻️ This comment has been updated with latest results.

We only really have/use cheby-log so not much point in making it a
parameter. There is room for improvement, but this might not be the
right API when it comes, anyway.
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The summaries of differences in test data look reasonable. I'd like to do a bit of plotting/benchmarking first to be sure they aren't changing in the "wrong" direction away from non-approximated values.

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