Some words on statictics:
Tables below are citing the 90% C.I. of those parameters. In the contour plots, each line correspond to an isocontour at 90% percentile.

Apparently, accessing files from the clusters is not particularly efficient, especially for those large kick plots.
Hence, it may take a couple minutes to load up all the content.

Also, since most content here are loaded, not hard-coded, this webpage will take up huge amount of memory
It is strongly not recommended to reload this page too hastily, and close this page as soon as you are done with it.
(Unless you have a really powerful machine with unlimited memory)
I am considering to also setup a page without the kick plots, that way it will be much smoother.

While you are waiting, how about we have a

Brief tour on how did we arrive to here.

  1. Pre-compute the statistics and contour plots of all results
  2. Group them into a big json file
  3. Use a plotting script to read and plot them -> the big contour plots
  4. From the same json file, extract the statistics part and format them as LaTeX tables, and save them into txt files.
  5. Use MathJax to compile those LaTeX tables in HTML.
  6. Plot those kicks with Plotly, export them as HTML div blocks.
  7. Import them into this same HTML with js.