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RISE '15

scikit-learn BDT training

Allows decision tree training with Gradient/Adaptive boosting through Python's scikit-learn. Program is modular to allow user to include/omit features as desired:

The probability of each event being signal can be written to a ROOT NTuple, forming the classifier.

BDT cut optimisation

Searches for optimal cut position through calculating Punzi figure of merit. Fit is made on data which produces signal and background yield also.

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12 week summer project at TU Dortmund

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