learn notebook for CLs asymptotics

[lukasheinrich]

Description

produces this animation

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Codecov Report

Patch coverage has no change and project coverage change: -0.65 ⚠️

Comparison is base (a28d1a3) 98.30% compared to head (3f92552) 97.65%.

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@@            Coverage Diff             @@
##             main    #1476      +/-   ##
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- Coverage   98.30%   97.65%   -0.65%     
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  Files          69       64       -5     
  Lines        4534     4008     -526     
  Branches      802      565     -237     
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- Hits         4457     3914     -543     
- Misses         45       55      +10     
- Partials       32       39       +7     

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contrib	25.52% <ø> (-72.36%)	⬇️
doctest	?
unittests	97.43% <ø> (?)
unittests-3.10	?
unittests-3.11	?
unittests-3.8	?
unittests-3.9	?

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[cranmer]

very cool. I would still suggest a transposed version of the top right plot. Maybe in the middle right panel?
I'd also suggest increasing the size of the axis labels a little.

Also, recommend matplotlib -> jshtml to include in static HTML
http://louistiao.me/posts/notebooks/embedding-matplotlib-animations-in-jupyter-as-interactive-javascript-widgets/

[lukasheinrich]

ttherre is also an arrangement like tthis that has tthe CLs and the qµ distrtibutions in normal orientation and the gaussian µ^ distribution rotated