Derivatives of scaled TOA uncertainty wrt white noise parameters

[abhisrkckl]

This is useful for speeding up #1639 using a derivative-aware algorithm.

[codecov]

Codecov Report

Attention: 35 lines in your changes are missing coverage. Please review.

Comparison is base (2c1aa12) 68.57% compared to head (219c427) 68.48%.

❗ Current head 219c427 differs from pull request most recent head 2dd7c3d. Consider uploading reports for the commit 2dd7c3d to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #1647      +/-   ##
==========================================
- Coverage   68.57%   68.48%   -0.09%     
==========================================
  Files         104      104              
  Lines       24013    24063      +50     
  Branches     4252     4264      +12     
==========================================
+ Hits        16467    16480      +13     
- Misses       6463     6497      +34     
- Partials     1083     1086       +3     

Files	Coverage Δ
src/pint/models/timing_model.py	83.40% <21.42%> (-0.55%)	⬇️
src/pint/models/noise_model.py	87.57% <35.13%> (-6.47%)	⬇️

... and 1 file with indirect coverage changes

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[abhisrkckl]

Closing this because this has been merged with #1639.