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Unblinding

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@bonanomi bonanomi released this 23 Jun 14:16
· 12 commits to MELA since this release
v2
f90a6a0

Code used for the unblinding of the analysis. Some highlights are:

  • Fits run on UL dataset.
  • All the uncertainties are UL and lead to a ~40% improvement w.r.t previous results (especially thanks to electrons).
  • Introduced python3 script to compute the LL ratio between best-fit-values and SM expectations. From this quantity one can infer the pvalue of the measurement, thus assessing the GoF.
  • The plotShapes.py script can now be called with the --uncBand option to draw 1 and 2 sigma uncertainty bands on the pdfs.
  • Moved all the inputs of createXSworkspace.py to 125.38 GeV
  • Small bug-fix in 2e2mu v4 measurement in createXSworkspace.py
  • Small bug-fix for rapidity4l in RunTemplates.py
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