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View Code? Open in Web Editor NEWAD for the Analysis Grand Challenge
License: MIT License
AD for the Analysis Grand Challenge
License: MIT License
Gathering related issues to easily be able to track everything in one place.
meta items:
Following the jet calibration example discussed at pyhep.dev, there are a few different ways forward in the direction of extending functionality. Some of these can be pursued in parallel.
The pipeline
function contains them all:
def pipeline(jets, a):
"""analysis pipeline: calculate mean of dijet masses"""
return np.mean(get_mass(correct_jets(jets, a)))
correct_jets
by more complex calibration operations, e.g. with a differentiable correctionlib
get_mass
by a more complicated physics analysis, e.g. involving combinations of objects and sorting (the AGC top mass reconstruction is a good candidate)np.mean
by statistical model construction + inferenceIn addition to this:
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