Using BDTs for Improvement of Electron Reconstruction

During my time in the CERN summer student programme, I am working on using Boosted Decision Trees (BDTs) to improve electron classification. This is done both in TMVA via ROOT, and in XGBoost via Python. The results so far shown that BDTs are effective at electron classification, albeit not more efficient then the traditional neural network method.