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cp3-llbb / HHAnalysis

HH analysis for CP3 llbb framework
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update hardcoded paths to 2016 #107

Closed OlivierBondu closed 7 years ago

OlivierBondu commented 8 years ago

should be painless

yet to do:

OlivierBondu commented 8 years ago

Efficiency for Double Mu on Run2016B is 99.6602%, looking good

blinkseb commented 7 years ago

I updated the PR using regex to match trigger paths.

blinkseb commented 7 years ago

PR updated. I added support for multiple efficiency for a given HLT path / leg (like Double Mu ones). Luminosity values in the python config files are not the correct ones and must be updated.

For a given path, you can now specify more than one JSON file. Each file is assigned a weight. This weight will be used to create a discrete probability function, where each path is assigned the probability weight / ∑(weights). When requesting an efficiency, one is chose randomly based on this distribution.

BrieucF commented 7 years ago

:+1: with moving the modifications to triggers.xml in this PR.

blinkseb commented 7 years ago

triggers.xml added. Merging!

OlivierBondu commented 7 years ago

thanks !