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Mikkel Bjorn / general_gammacombo
GNU General Public License v3.0 onlyA framework to perform a statistical combination of measurements.
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Combine general likelihoods of arbitrary type, shape and complexity using the RooFit framework.
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Combine general likelihoods of arbitrary type, shape and complexity using the RooFit framework.
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Combine general likelihoods of arbitrary type, shape and complexity using the RooFit framework.
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A general python code useful for data analysis and plotting for simulation studies of measurements in e+e- collisions developed in the context of CLIC analyses.
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Extract (1) isolating and (2) non-isolating pairs of tracks from data and save them into ntuples (that you can feed to an MVA algorithm later on).
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